System-on-System Competition in Defense Innovation

Nicholas Dew and Ira Lewis1

https://doi.org/10.36304/ExpwMCUP.2022.07

Abstract: Defense innovation systems (DIS) have become an important analytic concept in defense policy circles in recent years. DIS are networks of interacting agents involved in the generation, diffusion, and utilization of defense-related

technologies

supported

by

local

institutional

infrastructures. This notion can be a valuable addition to one’s arsenal of tools for understanding aspects of great power competition between the United States and China. The DIS construct draws attention to competition between the United States and China being fundamental y a contest between different innovation systems. This adds an important perspective to policy debates because it broadens the analysis of competition away from particular elements and toward the overal systems involved, including global technological systems, dual-use technologies, and civilian elements Nicholas Dew is a professor of management at the Naval Postgraduate School (NPS) in Monterey, California, where he works with the Defense Management and Defense Analysis departments and with the Center for Homeland Defense and Security. His teaching and research focus on entrepreneurship, strategy, and innovation in defense and homeland security. Ira Lewis held a variety of positions in Canada’s Department of National Defence from 1982 to 1998. Since 1998, he has worked as an associate professor of logistics at NPS.

His interests include industrial policy and international cooperation in defense acquisition and logistics. The views expressed in this article are solely those of the authors. They do not necessarily reflect the opinions of Marine Corps University, the U.S. Marine Corps, the Department of the Navy, or the U.S. government.

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that are important components of nearly al innovation systems.

Furthermore, while U.S. industrial policy may have historical y hidden it, the DIS construct draws attention to the intensive management and networking activities by U.S. Department of Defense elements involved in organizing the generation, diffusion, and utilization of defense-related technologies. For China, the DIS construct helps shed a bright light on the civilian-military fusion that has been a bedrock of China’s international competitive strategy.

Keywords: defense innovation system, national system of innovation, innovation network, innovation ecosystem, industrial policy Introduction

In 1972, Andy W. Marshal wrote in Long-Term Competition with the Soviets: A Framework for Strategic Analysis that to compete with the Soviet Union over the long-term, “a fundamental part of the U.S. strategy may be to push innovation in technology vigorously.”1 In many ways original, one of Marshal ’s key insights was to see competition between the United States and its adversaries as one between different “systems.” In Marshal ’s thinking, it was the relative speed of innovation in those systems that would matter most for military competitiveness over the long run.

Marshal was, of course, well ahead of his time. The term innovation system is now routinely used to describe the large number of participants and resources configured to support innovation in a particular nation or industrial sector.2 It is widely accepted that these systems differ according to national and sectoral characteristics that are shaped by local institutions.3

While there may be only one set of fundamental principles for how Expeditions with MCUP

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innovation systems work, there are a great many local recipes that are possible.4 Furthermore, it is by now broadly appreciated that the U.S.

Department of Defense (DOD) has run networks to influence innovation since the 1950s that have been sheltered from public view because of the dominance of market fundamentalist ideas in U.S. policy circles.5

This article considers defense innovation systems (DIS) as a concept whose time has come.6 DIS are networks of interacting agents involved in the generation, diffusion, and utilization of defense-related technologies supported by local institutional infrastructures.7 The rivalry between different innovation systems has emerged as a defining feature of great power competition.8 By now, it is quite clear that the United States has entered a period of system-on-system competition with China in which each nation faces increasing competitive pressure from the other, resulting in an arms race dynamic between U.S. and Chinese DIS. Top officials in U.S.

national security and analysts in the policy community have released a succession of reports highlighting rapid improvements in Chinese military capabilities. In a 2020 report, U.S. Air Force chief of staff General Charles Q.

Brown Jr. stated that, “Competitors, especial y China, have made and continue aggressive efforts to negate long-enduring U.S. warfighting advantages.”9

Bharat Rao et al. argue that, in general, the world has entered a period of hyper-innovation in which the “military-industrial complex and commercial industry alike are subject to continuous business process and technology disruption.”10 As Melissa Flagg and Jack Corrigan note, national security analysts are collectively cal ing out the same problem: “As commercial y developed, dual-use technologies transform the national Expeditions with MCUP

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security landscape, the DOD must harness the ful potential of the U.S.

innovation ecosystem to maintain the country’s competitive edge.”11

This competitive struggle encompasses a complex landscape of multiple globalized innovation systems that vary technological y and institutional y. It is easy to overlook and oversimplify the intricate constellation of innovation systems, the ful spectrum of participants, and the multidimensional nature of relationships in these systems. However, from an analytical standpoint, a decisive simplification is the distinction between major weapons systems (MWS) and dual-use technology (DUT). For analytical purposes, this simplification, though crude, provides a critical distinction.

In the United States, MWS are produced by a segment of the overal DIS that is dominated by the “Big Six” defense contractors: Lockheed Martin, Raytheon Technologies, Boeing, Northrop Grumman, General Dynamics, and BAE Systems. These firms are organized as traditional vertical y integrated organizations, though on closer inspection they are conglomerates of related entities. The MWS subsystem is also characterized by collaboration and partnerships between the primes, such as the well-known F-35 Global Partnership.12 There are also large numbers of subcontractors for MWS and some international partnerships, although their relationship with DOD entities is frequently mediated by one of the primes. Within the MWS subsystem, the DOD plays the role of “kingpin”

through contractual, regulatory, and organizational processes. The MWS

subsystem is adapted to the unique institutions of the United States, particularly the role that Congress plays in defense policy and spending.13

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Currently, policy attention has largely shifted away from MWS and toward the constellation of innovation systems that create and supply DUT.

There is a broad consensus that during the past two decades, the military relevance of DUT has grown relative to MWS, partly because DUT is such an integral component of MWS and partly because of the widespread adoption of DUT for military purposes.14 Much DUT is produced by a global innovation system-of-systems that is differentiated more according to technical sectors and less according to national boundaries.15 The DOD’s position in the DUT landscape is very different than in that of MWS, as it is a participant rather than the kingpin/dominant customer. In some respects, the DOD’s role is merely one of the dozens of large participants with little special influence, occupying a place in a huge and complex system of systems and in competition with a wide variety of other participants.

Importantly, DUT is produced by a dynamic, open innovation system that has evolved rapidly during the past 20 years, with many new participants collaborating and competing in a bewildering number of ways.

DUT is therefore characterized by many competing efforts to shape and control its evolution, including the influence of other defense-oriented participants (e.g., China) that have long-running and well-developed strategies for leveraging DUT to their advantage. However, the systems that produce DUT are also influenced by many players whose primary agenda is not defense and whose goals may be in direct competition with the agenda of the DOD.

While the DOD has some tools at its disposal for influencing aspects of the DUT system, the relationship is largely one marked by DOD

dependence. To il ustrate this point, consider first the differences in size Expeditions with MCUP

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between the MWS and the DUT systems. Semiconductors are an example of just one sectoral innovation system that is a DUT.16 The semiconductor system alone generates approximately 50 percent more revenue than the entire Big Six do ($433 bil ion for the semiconductor system in 2020, compared to around $300 bil ion for the Big Six, which includes its commercial and international sales).17

Within semiconductors, one significant subsector is field-programmable gate arrays (FPGAs). FPGAs are an extremely important component in defense weapon systems. Yet, there are six business segments in FPGAs: consumer electronics, automotive, industrial, telecommunications, data processing and, final y, aerospace and defense.

Hence, as important as FPGAs are to the defense sector, defense is certainly not the most important sector to FPGA producers, let alone the entire semiconductor sector.

This fundamental asymmetry—that the DOD depends on DUT, but the DUT innovation ecosystem does not general y depend on the DOD—is repeated across the enormous spectrum of DUT. Research and development (R&D) provides another example of this asymmetry. According to Christian Brose, the Big Six invested $6 bil ion in R&D during 2019, whereas the top six global information technology (IT) firms (including Apple, Google, and Amazon) invested $70 bil ion.18

While the DOD has benefitted from commercial R&D spending on DUT, many of the benefits of this private-sector spending also spil over to adversaries who may be able to adopt DUT for defense purposes faster than DOD entities can.19 By relying on the same legal and contracting arrangements that it uses for MWS, the DOD has made itself an unattractive Expeditions with MCUP

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partner for many DUT vendors.20 Defense users have idiosyncratic demands that add cost to products, volumes are low compared to consumer markets, and the defense acquisition process is very lengthy and costly for would-be suppliers. When everything is considered, DOD entities simply may not pay well enough to justify the opportunity cost to DUT vendors of doing business with them.21

The differences in the scale and scope, R&D intensity, and dynamic pace between DUT and MWS did not matter that much to the DOD as long as DUT was of limited relevance in military competition. However, that situation has changed dramatical y during the past 20 years, as nuisance hacking has morphed into offensive cyber warfare and Roomba robot vacuums have evolved into swarms of kil er drones.22 In ways that were largely unimaginable a generation ago, DUT has become a vital source for military capabilities, including many technologies that are required for MWS

to be effective. As a result, a significant part of military innovation competition is migrating—or has already migrated in significant ways—from MWS to DUT.23

The extent of this shift is highlighted in a recent foresight study conducted by the Rand Corporation for the European Parliament on future battlefield technologies.24 The study highlights six major technology clusters that are expected to be influential in future warfare.

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Table 1. Overview of key new and emerging technology clusters

Technology cluster

Definition

Artificial intel igence, machine learning, and

Software technologies that are able to

big data

perform advanced computing to analyze

and interpret large quantities of data.

Advanced robotics and autonomous

Technologies that constitute or enable the

systems

operation of unmanned vehicles with

advanced capabilities, including in the area

of operating without human supervision or

control.

Biotechnology

Technologies that leverage biological

systems or innovations in biological sciences

to develop systems with advanced

properties and levels of performance.

Technologies for the delivery of novel effect

Technologies, including weapons and

subsystems, that enable the delivery of

novel kinetic and nonkinetic effect or the

delivery of conventional effect in novel ways.

Satellites and space-based technologies and Technologies that enable access to space or assets

technologies that are space-based and

facilitate terrestrial or space-based

operations.

Human-machine interfaces

Technologies that facilitate human-machine

interactions or human-machine teaming,

including information transfer.

Source: adapted from Jacopo Bellasio et al., Innovation Technologies Shaping the 2040 Battlefield (Brussels, Belgium: European Parliament Research Service, 2021), 21.

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Four of these technology clusters are DUT: artificial intelligence (AI), machine learning, and big data; advanced robotics and autonomous systems; biotechnology; and human-machine interfaces. A fifth cluster, satellites and space-based technologies and assets, is rapidly evolving in a dual-use direction. Only the final cluster, technologies for the delivery of novel effect (which includes hypersonic and directed energy weapons), is a traditional MWS.

Which nations are best positioned to gain competitive advantage from these changes? Extant research predicts that chal enger nations general y benefit when innovations become easier to adopt.25 Military innovations can be easier to adopt when they are based on commercial off-the-shelf (COTS) DUT because defense and commercial purchasers share the costs of creating these new technologies. This not only spreads overal cost and makes individual units cheaper, but it also makes it less likely that the technologies involve large capital investments (e.g., aircraft carriers), which further lowers the barriers to acquiring these technologies. Both lower unit costs and lower barriers benefit chal enger nations by making new technology more accessible and affordable to them. When new technologies are disruptive, this also benefits chal enger nations, since they are in a better position to completely bypass or “leapfrog” previous generations of technologies.26 By comparison, incumbent powers are likely to be more heavily invested in existing technology capabilities that are at risk of becoming “stranded” by leapfrog technologies. Therefore, in general, incumbent powers such as the United States bear more risk of disruption from new technologies than chal enger powers do.

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The major exception to this pattern is when new technologies significantly increase the value of existing military capabilities. In these instances, the new technology complements existing capabilities rather than disrupting them.27 When this happens, incumbent powers stand to benefit, but only if they integrate the new technologies into their existing capabilities, and only if these new combinations overal outweigh the advantages of starting with a clean slate.

This combination of factors means that chal enger powers such as China have experienced some structural advantages from the rapid evolution of DUT during the past 20 years, which has provided numerous new opportunities for technology adoption.28 Despite the DOD’s Third Offset initiatives, China appears to have been more adept at exploiting DUT

innovation adoption opportunities than the United States has.29

The rising importance of DUT as a source of military-relevant technologies during the past 20 years has also rewarded nations that have prioritized integrated civilian-military technology strategies, as compared to those with an institutional focus on MWS. In this regard , the United States has been playing only half of the innovation game, whereas China has been playing the whole game.30 Undoubtedly part of this difference is due to the United States’ extended wars in Afghanistan and Iraq during this period, which served to focus U.S. defense R&D investments on projects with short-term utility. However, part of the explanation for this divergence is also structural, in that China has benefited from adopting a mercantilist economic model that strongly integrates civilian and military technology development and adoption.31

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In a period in which DUT has become an important source of new military capabilities, countries with integrated civilian-military economic strategies have had more to gain. As a result, the U.S. policy of leaving industrial development to market forces has become increasingly costly in military terms during the past 20 years.32 In a telling recent remark about competition with China, Senator Mark Warner (D-VA) suggested, “It’s hard to see how . . . any normal, traditional market-based economy can compete against that kind of juggernaut and win.”33

Close U.S. al ies such as the United Kingdom have taken note and launched their own integrated strategies in response.34 Since the United States has simply continued with the same policy tools it used successful y for competition with the Soviet Union during the Cold War, one might be forgiven for thinking they would work the same way again. However, China’s civilian and military development policy is a far cry from the simple strategies of the central y planned economy used by the Soviet Union. The Soviet Union did not compete with the United States based on a sophisticated and expansive hybrid economic model that fuses civil and military technology development together—but China does. China has used numerous long-term policies to careful y cultivate and shape DUT

innovation ecosystems to its advantage, with 5G telecommunications being perhaps the best-known example.

Therefore, while the lack of a deliberate U.S. strategy for DUT was never an exploitable weakness in the Cold War era, competition from China has exposed this deficiency in the U.S. policy system. Moreover, it is a very problematic weakness for the United States because it is deeply rooted and difficult to change.35 Despite al the strengths of the U.S. national innovation Expeditions with MCUP

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system, it is one in which the speed of evolution of military capabilities is stil largely an indirect function of how well the country’s institutions channel the profit maximization incentives of corporations rather than the security needs of the nation.36

The concept of defense innovation systems is a powerful abstraction.

In the context of increasingly numerous and urgent cal s about the rising military power of China, the innovation systems construct may be helpful for analyzing competition between the DIS of the United States and China. In that vein, empirical research could investigate the relationship between China’s “Military-Civil Fusion” doctrine and the growth and development of its military.37 Defense practitioners may also want to expand their awareness about how the innovation system framework can be valuable for analyzing and assessing critical national security issues.

To unlock insights relevant to policymakers, this article wil first review and appraise some of the most relevant important background research for understanding key ideas about DIS. The perspective of the authors is deliberately more managerial than some prior reviews because they believe that this is most useful for policymakers. Their observation is that defense managers have been engaging with networks of organizations for a long time, working in various ways to promote innovation by bringing relevant public and private organizations together during the course of many decades.38 The authors focus on micro-level insights from management research that complement the macro-level themes that are traditional y highlighted by “innovation systems” and “ecosystems” research in the fields of economics and political science. These have been reviewed at length elsewhere, whereas the relevant management research has not.39 Building Expeditions with MCUP

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on a variety of intellectual foundations, it is only quite recently that the DIS

perspective has been brought into focus and its core concepts ful y articulated.40

Second, the article wil discuss the application of these ideas to the current competitive environment with a focus on speed as the objective that matters most. Since the near-peer competitors of the United States appear to be accelerating their fielding of new defense equipment, the authors focus on how DIS ideas can help U.S. policymakers better understand the strengths and weaknesses of the U.S. system. Critical to this understanding is differentiating among the innovation subsystems that comprise the overal U.S. DIS. Because of the nature of upstream R&D and downstream demand conditions, these subsystems do not behave the same, and recognition of this is an important part of understanding their differences.

Final y, the article wil close with a brief section that summarizes the authors’ key takeaways for policymakers from applying an innovation systems approach to the DOD’s current competitive chal enges. Here they wil attempt to sketch out some preliminary ideas about how policymakers may be able to use what they know about innovation systems to improve the United States’ competitive position vis-à-vis China.

Background

Innovation and Networks

The case of networks being used to promote defense innovation may represent what Henry Mintzberg and James A. Waters refer to as “emergent strategy,” which occurs where a realized strategy was not expressly intended.41 Instead, individual actions, perhaps appearing unrelated to each Expeditions with MCUP

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other, were taken over time and resulted in a consistent pattern that afterwards is recognized as a strategy. Mintzberg et al. also suggest that the presence of an emergent strategy demonstrates an organization’s capacity to experiment and therefore learn.42 In a comment on “professional organizations”—which

could

certainly

include

the

DOD—this

experimentation provides the basis for change within an otherwise rigid structure:

Major reorientations in strategy—“strategic revolutions”—are discouraged by the fragmentation of activity and the power of individual professionals as well as their outside associations. But at a narrower level, change is ubiquitous. Individual programs are continual y being altered, procedures redesigned, and clientele shifted. Thus, paradoxical y, overal the professional organization is extremely stable yet in its operating practices in a state of perpetual change. Slightly overstated, the organization never changes while its operations never stop changing.43

In the context of DIS, government agencies have engaged in a series of initiatives since the 1950s that have provided learning opportunities for both the public and private members of the networks involved, as well as the technological advancements that were the explicit goals of each initiative. The emergent strategy referred to above de facto provided persistent support for the development of DIS through the creation of interorganizational networks. As Paul Cunningham and Ronald Ramlogan have commented:

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Networks can al ow for rapid learning and facilitate the reconfiguration of relationships—such as with suppliers (in the case of companies) or with producers of knowledge (which may be other companies or research institutions). Networks can stimulate the development of additional cooperative activities around a diverse range of issues including training, technological development, product design, marketing, exporting and distribution.44

The rapid learning referred to here has become particularly important as the pace of technological innovation and obsolescence has accelerated. This faster pace has accelerated the speed at which an organization must adapt to remain in front and counter the competitive response of adversaries.

Accordingly, the use of networks is particularly important when the choice is made, consciously or not, to rely on emergent strategy.45

Mariana Mazzucato points out that in government agencies there are also wins and losses, and that losses need to be used as lessons learned to improve and renew future policies.46 Innovation goes beyond invention of new products or technologies to include the capability to “make good ideas stick” by ensuring that new ideas are applied to the benefit of end-users.47

Emergent strategy has therefore been characterized as a significant factor in government policymaking.48

Innovation Networks and National Security

The transition from invention to innovation has significant economic and national security implications. Innovation frequently takes place between diverse actors at the global level, making regulatory control by national Expeditions with MCUP

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governments difficult.49 As was mentioned previously, excluding the large firms that build MWS, the DOD must compete with other customers for the attention of innovative firms. As David C. Gompert notes: Keep in mind that private high-tech development typical y results from the interplay of scientific inquiry and market demand, rather than meeting the known requirements of a given customer.

Emulating this model, R&D for the armed forces, intelligence services and other agencies must transcend existing specifications for platforms or products under contract. The right approach is to energise military and other government planners to engage in free-form thinking about the chal enges they expect to face, such as those posed by China. This would lead to fresh concept development for refining such chal enges and devising alternative ways of meeting them.50

In that vein, researchers have suggested that the United States must more aggressively support cooperation with al ies on technological innovation, both for defense-specific systems and in the broader economy.51

In support of that objective, the United States participated in the inaugural meeting of the AI Partnership for Defense in September 2020. This consortium of 13 nations, led by the DOD’s Joint Artificial Intelligence Center (JAIC), has begun sharing lessons learned and best practices in harnessing AI for military applications. A major goal of the partnership is to help determine what wil characterize “responsible AI” among democratic nations, for example the protection of individual privacy.52 According to the DOD, AI wil soon play a critical role in the conduct of military operations: Expeditions with MCUP

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AI and machine learning have the potential to revolutionize how war is conducted by rapidly speeding up the collection and processing of data and information to facilitate analysis and decision making. AI and machine learning can impact a range of U.S. military functions, including intelligence collection and analysis, logistics, cyber operations, information operations, command and control, and semiautonomous and autonomous vehicles.53

Close cooperation with U.S. al ies is particularly important for the DOD, as China considers AI a leapfrog technology that could, for example, enable low-cost, long-range autonomous platforms to counter U.S. military conventional power projection.54 As Michael C. Horowitz has commented: If commercial y-driven AI continues to fuel innovation, and the types of algorithms militaries might one day use are closely related to civilian applications, advances in AI are likely to diffuse more rapidly to militaries around the world. AI competition could feature actors across the globe developing AI capabilities, much like late-19th-century competition in steel and chemicals. The potential for diffusion would make it more difficult to maintain “first-mover advantages” in applications of narrow AI. This could change the balance of power, narrowing the gap in military capabilities not only between the United States and China but between others as well.55

Al ies, Partner Nations, and Innovation

While the United States is the world’s largest exporter of military technology, it also has a long history of adoption of weapon systems from other nations.

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For example, the U.S. Navy’s Arleigh Burke-class of guided missile destroyers use a Rolls-Royce gas-turbine engine to generate power, which is an adaptation of the Rolls-Royce engine used on the Lockheed Martin C-130

Hercules transport aircraft. BAE Systems, the U.S. subsidiary of the United Kingdom’s largest defense firm (BAE Systems plc), operates a shipyard in San Diego, California, which is modernizing the destroyers.56

The U.S. Marine Corps has retired the McDonnell Douglas AV-8B

Harrier II attack aircraft, built by McDonnell Douglas (now Boeing) under license from English Electric (now BAE). The AV-8B is being replaced by the Lockheed Martin F-35B Lightning II fighter, which like the Harrier features a Rolls-Royce lift fan, in this case integrated with the F-35B’s Pratt & Whitney engine.57

Construction wil begin in 2022 on the U.S. Navy’s Constel ation-class frigates, built in Marinette, Wisconsin, by the U.S. subsidiary of the Italian shipbuilder Fincantieri Marine Group. The Constel ation class is based on the FREMM European multimission frigate used in the Italian and French navies, which was designed by Fincantieri and the French shipbuilder Naval Group.58 In the U.S. Army, the Airbus EC145 light utility helicopter has been adopted as the Eurocopter UH-72A Lakota, assembled by Airbus Helicopters in Columbia, Mississippi.59 Final y, the Brazilian aerospace manufacturer Embraer has developed the C-390 Mil ennium twin-engine tanker/transport aircraft and established a partnership with Boeing that may lead to further development of the aircraft, which would be assembled in the United States for DOD customers.60

In this context of close cooperation on military technologies, the United States’ al ies within the Five Eyes al iance (Australia, Canada, New Expeditions with MCUP

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Zealand, and the United Kingdom) as well as other al ied nations are frustrated by complex bureaucratic barriers that do little to protect the U.S.

economy or national security.61 The situation has in certain cases led to American firms and the U.S. government being excluded from participation in the development of important technologies by al ied countries. Al ied nations wish to bypass the cumbersome, lengthy, and often unrewarding approval processes that may be associated with U.S. participation.62 As a 2019 Council on Foreign Relations report on innovation and national security notes, the United States may be missing out on innovative technologies developed elsewhere:

Friends, al ies, and collaborators tightly link technology ecosystems and create scale in a globalized system of innovation, and thus are a competitive advantage. Washington’s current trade policies needlessly alienate partners, raise costs for American tech firms, and impede the adoption of U.S. technology in foreign markets.63

There is also a lack of research into comparative national systems of defense innovation.64 As explained by Dylan Gerstel et al., the

“interconnectedness of the global economy and innovation ecosystems means [that] unilateral approaches are unlikely to succeed.”65 Martijn Rasser et al. add that “decades of experience show that joint work with foreign researchers can be done with great benefit and little detriment to U.S.

economic and national security.”66 For the United States, as for its al ies, cooperation on innovation is particularly important to the need to build and sustain a military technology advantage.

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Innovation Networks, Learning, and Collaboration U.S. Air Force lieutenant colonel Matthew C. Gaetke recently explained the need for both organization learning and diversification of sources with respect to potential military technologies:

The right question is how to equip future wartime leaders with the broadest sheaf of technologies, since we cannot predict which wil be the right ones, and then train them to make flexible decisions over their use. The nature of the war they could fight might be surprising.

Preparing for that uncertainty means developing many options, not placing a few large bets, regardless of how promising a technology appears. This preparation requires a shift in strategic mentality, reframing perspectives on cost, risk, waste, and value.67

Examples of major U.S. initiatives that have provided a basis for future learning include the creation of the Defense Advanced Research Projects Agency (DARPA) in 1958, the U.S. space program that has existed since the creation of the National Aeronautics and Space Administration (NASA) the same year, and the funding and leadership provided to the U.S.

manufacturers and universities that created the Semiconductor Manufacturing Technology (SEMATECH) consortium in 1988.68 Rao et al.

offer an example of lessons learned from the space program: One successful strategy included externalizing critical problems to collaborators around the world through a virtual problem-solving platform. Capitalizing on this

approach, NASA not only figured out a way to increase the scale and diversity

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of its “solver” community, but also facilitated greater internal collaboration through the refinement of external y sourced ideas involving participants from different parts of the NASA enterprise.69

A relatively high tolerance of risk underlies long-term success in technology development initiatives. For example, DARPA is “very tolerant of failure if the potential payoffs are high enough.”70 If government policies fail to support risk-taking, then the projects that do get funded with the budget available wil tend to not be particularly innovative, which undermines the objectives of any program or initiative.71 In addition, the DOD’s innovation policies have traditional y focused heavily on technical research and development and accelerating the speed of the acquisition process rather than strengthening the ability of the broader organization to innovate.72

Accordingly, DARPA has been cal ed the “flagship disruptive innovation organization of the Department of Defense,” which has led to emulation by countries around the world.73 The DARPA approach is particularly appropriate for the United States and its al ies given the return to great power competition. As noted in a 2019 report by the Ronald Reagan Presidential Foundation and Institute:

China’s military–civil fusion concept draws from the U.S. model of the Defense Advanced Research Projects Agency (DARPA) and federal y funded laboratories but represents an attempt to leverage al aspects of the civilian economy on behalf of national defense. It is characterized by comprehensive government direction, support, and funding for “national champion” companies and mandated coordination among the academic, private sector, and military Expeditions with MCUP

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spheres. This military–civil fusion concept appears especial y well-suited to exploit the dual-use technologies central to the 21st-century military–technical competition. Thus, the U.S. NSIB [national security and innovation base] must compete against a Chinese innovation base that uses top-down, long-term planning to exploit innovation wherever it might occur—be it in the business, academic, or government sectors.74

To a certain extent, leveraging the use of innovation ecosystems by the DOD paral els similar changes in the private sector. Major defense and technology firms within the United States and peer nations have shifted from vertical y integrated structures to networks of partners.75 This transition is particularly important as most DUT comes from outside the government or defense-oriented firms.76 (Some examples of these technologies wil be provided later in this article.) In this context, networks become key for the creation and survival of knowledge-intensive entrepreneurial activities.77 The U.S. Navy’s NavalX Tech Bridge network is one example. As explained by former assistant secretary of the Navy for research, development, and acquisition James F. Geurts, “the power of these Tech Bridges [networks supported by the U.S. government] is they’re not on bases, they’re not behind barbed wire, they’re not just only a requirements-pul . It’s a way that we can get idea-push.”78

Networks may operate in unpredictable manners relative to traditional vertical structures but in ways that can be shaped to meet desired goals.79 However, the governance of the network must be sufficiently strong to ensure that its viability and ongoing existence.

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Otherwise, the network wil fail as its member institutions opt out, as described somewhat explicitly by Josh Whitford and Andrew Schrank:80

Network governance is functional in organizational fields characterized by unstable demand, dispersed and rapidly changing knowledge, and complex interdependencies between component technologies. But it may nonetheless fail in those fields, and it does so when exchange partners either screw each other or screw up. They are more likely to screw each other when formal and informal institutions fail to inhibit opportunism; they are more likely to screw up when such institutions fail to facilitate the search for new information beyond the network. When the institutions in question simultaneously inhibit opportunism and facilitate search, network governance becomes viable—at least insofar as technological and demand conditions render it desirable. However, when such institutions neither mitigate opportunism nor facilitate search, network production is al but impossible and stil birth or devolution—

that is, absolute network failure—occurs.81

In industries that possess an expanding knowledge base and where expertise is widely dispersed, the locus of innovation wil be found in the overal network rather than in individual firms.82 Although the increasing prevalence of networks in innovation has reinforced the tendency toward globalization, the same trend has also reinforced the importance of the home nation.83 There is also an interplay between national capabilities and the inter-relationships of individual technologies, as described by Robert W.

Rycroft and Don E. Kash:

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A history of flexible and adaptive learning relationships within a network (with suppliers, customers, and others) provides member organizations with formidable sources of competitive advantage.

Alternatively, al owing learning-based linkages to atrophy can lead to costly results. For instance, inadequate emphasis on manufacturing and a lack of cooperation among semiconductor companies contributed to an inability to respond rapidly to the early 1980s Japanese chal enge. When the chal enge became a crisis, cooperative industry initiatives moved U.S. companies toward closer interactions with government (such as the Semiconductor Trade Arrangement) and eventual y to a network (the Sematech consortium) that improved the ability of industry participants to learn in mutual y beneficial ways, including collaborative standards setting.84

Erica R. H. Fuchs provides the example of DARPA program managers, who act as “embedded agents” that are central nodes in social networks.85

As Candace Jones et al. describe, the presence of both large and smal firms further increases the importance and contribution of a network form of organization:

Power may be constrained in networks owing to complex tasks high in human asset specificity. These tasks demand a high degree of creative problem solving, knowledge, and effort, which are enhanced by a cooperative, rather than adversarial, orientation. Those who are typical y seen as powerful—the prime contractors, distributors, or financiers—become dependent on subcontractors to execute their tasks with their best effort and with financial integrity.86

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Consistent with the above explanation, networks can be viewed as invoking the image of connectedness between either individuals or organizations.87 The relationships fostered by DARPA can lead to the formation of networks that provide a favorable context for innovation by participants in that network. As Andrew Hargadon and Robert I. Sutton note: Under conditions of uncertainty, firms seek out partners with technological complementarities. Collaboration can shorten the time it takes to bring new ideas to market, while access to a broad network of cooperative R&D provides companies with a rich portfolio of diverse information sources. Moreover, rather than simply enhancing the transfer of information between two or more parties, the relationship becomes an opportunity for novel syntheses that diverge from the stock of knowledge previously held by the individual. In such circumstances, networks can become the locus of innovation.88

For government employees, participation in innovation networks such as DARPA is an example of the use of an “island/bridge” model, in which innovative groups are relatively isolated from the defense bureaucracy but are al owed direct contact with defense decision-makers and end users.89

DARPA program managers receive a flow of information from the larger research community and match this information to military requirements.

They also provide a system-level perspective to researchers focused on specific technologies that wil require integration at a higher level to successful y function within an MWS. These program managers also actively Expeditions with MCUP

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orchestrate and continual y restructure these networks to encourage new technology development in directions that support DOD goals.90

As explained by Bruce S. Tether and J. Stan Metcalfe, “Innovation systems are not natural y given, they are constructed to solve problems; as they develop, so knowledge and institutions co-evolve.”91 Keith G. Provan and Patrick Kenis suggest that governance of a network like an innovation system “requires frequent reassessment of structural mechanisms and procedures in light of new developments, and a wil ingness to make needed changes even if they are disruptive.”92 DOD organizational structures, processes, and assignment of responsibilities evolve slowly, which may explain why network structures have proven difficult to formal y integrate into the DOD.

Innovation Networks and Industrial Policy

The government agencies that lead an innovation network may have specific, long-term goals that are the result of policy decisions made by elected or appointed officials. These goals should be clearly communicated to current and potential network partners, explaining why participation is worthwhile from their perspective.93 Within the U.S. political system, overt actions that appear to favor specific firms are discouraged, leading to the emergence of what Fred Block has termed a somewhat-hidden

“developmental network state.”94

While the United States has a very large defense and technology sector, explicit developmental agendas such as those set by the European Union and its member states are uncommon. However, statements from government officials that the U.S. government does not “do industrial policy”

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are not consistent with empirical evidence.95 In that context, any major initiative involving the government must maximize funding transparency and minimize rent-seeking behavior.96 Too much visibility of the U.S.

government’s role in technology development and innovation could conflict with the dominant discourse of market fundamentalism.97

U.S. government support for technological innovation is fragmented among multiple agencies, and the impact of spending is also dispersed among many large and smal firms, universities, and other nonprofit research organizations. An emphasis on smal er firms is appropriate, given that a significant proportion of technological innovation comes from smal er companies that otherwise face significant barriers to doing business with DOD.98 The government may be seen as involved in four distinct but overlapping tasks: targeted resourcing (such as money and people), opening windows (fostering communication among members of a network), brokering, and facilitation.99

Linda Weiss argues that the United States has experienced the emergence of a “hybrid political economy” shaped by a government centered on national security concerns that uses the private sector to maintain American technological dominance.100 She refers to this type of governance, which involves deep integration and interdependence between the public and private sectors, as the “national security state” (NSS), a term that clearly invokes the civil-military fusion concept employed in contemporary China.101 A key part of this approach is avoiding the appearance of overt industrial policy:

By privileging commercial viability in its investment strategies, the NSS

has not only extended its technological influence outside the security Expeditions with MCUP

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arena; it has also ventured into economic activities that are more typical y associated with the private sector. But by channeling its activities into hybrid structures that merge public and private resources, the breadth and depth of NSS involvement acquire low visibility and high (in other words bipartisan) political appeal.102

Weiss also outlines four mechanisms that the U.S. government uses to compensate for the common short-term orientation of the private sector within the NSS: 1) the freedom of government employees to take a long-term view of investment in innovation; 2) an appetite for risk driven by the goals of technology leadership and military preparedness; 3) the provision of “patient capital” that is risk-tolerant and takes a medium- to long-term perspective; and 4) the cultivation of relational (rather than transactional) capitalism and longer-term supplier relationships. The creation of DARPA and SEMATECH, as well as the Smal Business Innovation Research (SBIR) program, are examples of how the government is drawn into economic pursuits that are conventional y viewed as the responsibility of the private sector.103

Relationships within Innovation Networks

The transition from a transactional, or “arm’s length,” relationship between the U.S. government and industry to a relational, or less adversarial, perspective is reflective of an evolution in how interorganizational relationships are characterized. Oliver E. Wil iamson developed the concept of transaction cost economics (TCE), which explains how organizations determine whether to outsource production (through markets) or carry it Expeditions with MCUP

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out internal y (through hierarchies).104 From the TCE perspective, three exchange conditions—uncertainty, asset specificity, and frequency—

determine the preferred type of governance.105

The TCE concept is difficult to use, however, for the analysis of relationships that involve more than two entities, such as networks or consortia. Wil iamson acknowledges that TCE gives network relationships

“short shrift.”106 Candace Jones et al. has suggested that TCE can be extended by adding the concepts of social network theory and task complexity, which would support the development of an understanding of what network governance is, where it may occur, and how it can be helpful to firms.107 In making these changes to the original definition of TCE, the authors provide a means of incorporating Wil iamson’s concept of the frequency of exchanges of information into social network frequency. In this vein, Jones et al. propose the following definition: Network governance involves a select, persistent, and structured set of autonomous firms (as well as nonprofit agencies) engaged in creating products or services based on implicit and open-ended contracts to adapt to environmental contingencies and to coordinate and safeguard exchanges.

These contracts are social y—not legal y—binding.108

The DOD has been authorized by Congress to use a somewhat more informal form of contracting cal ed Other Transaction Authorities (OTAs), which are not subject to the detailed requirements of the Federal Acquisition Regulation (FAR). OTAs, and several similar other “non-FAR”

authorities, al ow for earlier and more informal communication with vendors. This creates a relatively relaxed environment, which is particularly Expeditions with MCUP

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important for smal er firms as well as technology startups that tend to avoid doing business with the military.

Accordingly, the convergence of the military and commercial markets has increased the importance of OTAs.109 However, as a 2020 report by the U.S. House Armed Services Committee notes, OTAs tend to focus on startups, and these firms need to be supported by follow-on business: When it does support non-traditional companies, the DOD often focuses on early stage investments at the expense of later stage engagement that would al ow a company to grow at scale. Often, and for valid reasons, the Pentagon makes a number of smal bets on a variety of companies but is seemingly less inclined to wager on nontraditional companies by providing them contracts for programs of record at scale, even when the technology has been validated and fits a military requirement. This reticence makes it more difficult for innovative companies that want to partner with the DOD to obtain private sector funding.

When the Pentagon grants a contract, it signals to other investors that the company is worthy of investment. Without long-term commitment, however, smal er innovative companies with essential technology are often forced away due to the need to demonstrate growth more quickly than the Pentagon can award a contract.110

The DOD has been expanding its use of OTAs, with an increase in obligations from $1.4 bil ion in 2016 to $11.5 bil ion in 2021, the latter figure excluding contracts related to COVID-19.111 Rao et al. have suggested that Expeditions with MCUP

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the civilian marketplace now represents a greater threat to the technology supremacy of the U.S. military than any peer competitor.112 After World War II, the DOD occupied the high ground in the key technology areas that were relevant to the military, a situation that is unlikely to recur. The chal enge posed by the need to rapidly integrate (“spin-on”) commercial technologies is a significant one. According to Gompert:

Notwithstanding such new contracting alternatives, there remains a major obstacle to spin-on. Simply put, high-tech firms do not want government business. One reason is economic. Say a smal venture is awarded an R&D contract and successful y adapts a new technology to meet government needs. When the time arrives for scaling up and generating higher revenues, risk-averse mid-level acquisition officers turn to the LSIs [lead system integrators] on account of their prowess in running large production programmes. This practice strands the firm that developed the technology, or at best forces it to be a subcontractor stuck with diminished profits. Projecting these eventual scenarios for a high-tech firm, venture capitalists would have little incentive to back it. Thus, the firm would have no motivation to pursue federal R&D in the first place.113

In that vein, Rao et al. emphasize that more flexible forms of relationships with the private sector have suffered from a lack of resources and institutional support.114 The interviews conducted by the authors with senior DOD personnel led them to conclude that that innovative contracting methods had created an “alternative universe” that had not been internalized by the organization. This situation has also been described by Expeditions with MCUP

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Flagg and Corrigan as a DOD tendency toward “innovation tourism.”115

These findings suggest that a concerted managerial effort may be needed to make use of non-FAR authorities, as government personnel tend toward risk-averse and compliance-based behavior.116 Horowitz provided some important insights on factors that drive the adoption of innovations, which wil be covered later in this article.117

Block et al. point out that TCE tends to underestimate the costs associated with the choice of a hierarchy.118 Internal y developed valuations of products transferred within an organization (such as a firm) are general y not as accurate as actual prices set by the market. Moreover, only a few organizations can claim the sophisticated in-house expertise required to decide in each and every case whether to produce internal y or outsource.

This lack of current expertise can lead to what Block et al. describe as a risk of “technological stagnation,” and what Robert H. Wade refers to as

“group think.”119 Well-established routines can cause organizations to become introspective, limiting their ability to innovate.120 However, as Block et al. note, the networked form of organization also has limitations: Networked contracting has its own set of costs that can be considerable including the cost of searching for the right network partners. When those search costs are too high, the firm might opt instead for the high transaction costs of traditional contracting or reliance on hierarchy and the risk of technological stagnation.121

Accordingly,

Wil iamson’s

markets-or-hierarchies

view

of

organizations has evolved in some cases into a more flexible network environment that al ows for both transactional and more social y oriented Expeditions with MCUP

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relationships. In this regard, the case of the United Kingdom is of interest, as described by Arman Avadikyan and Patrick Cohendet: In the case of the UK defence innovation system, it is clear that the UK

authorities, following a liberal perspective, have given priority to the first [transactional] approach according to which the boundaries of the new entities in the system are supposed to be shaped by the transactional criteria. However, as emphasised in pervious sections, the requirements of the economics of knowledge have played the role of a return spring that cal s for a questioning and a reconsideration of the governance structures inspired by a pure transactional approach. Step by step, a real hybrid governance structure has been implemented, which is characterised in particular by numerous evolving networks and cognitive platforms associating private and public actors.122

The “hybrid governance structure” referred to here also general y characterizes the DIS construct in the United States. The networks that make up DIS are an essential tool in tackling the increasing pace of weapon systems development by competitors such as China. However, one further issue that needs to be appreciated about these networks is what makes the users in their constituent organizations more or less “venturesome” in their behavior.123 How aggressive users are in demanding and adopting innovations is a critical factor driving the pace of innovation system evolution.

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Factors Affecting Innovation Adoption and Venturesomeness of Military Organizations

To develop a complete picture of the innovation outcomes that the U.S.

military actual y achieves, one must understand both the DIS it is embedded in and its own innovation adoption behaviors. What actual y gets adopted by a DOD entity depends on both the available innovations and whether the DOD exploits those innovations. The adoption behaviors of the DOD—which can be summarized in terms of how venturesome the U.S. military departments are in exploiting innovations—are therefore a critical y important influence on how U.S. DIS perform. One reason for this influence is that the behavior of networks created by participants in different subsectors of DIS is informed not just by DOD R&D spending but also by the participants’ expectations about what innovations the U.S. military wil adopt and at what scale.

Horowitz proposes that the adoption of military innovation depends on two broad factors: first, the military’s financial capacity (e.g., to fund R&D, initial procurement, and the ful lifecycle costs of the program); and second, the organizational capacity to absorb the innovation.124 This leads to the following diagram:

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Figure 1. Factors in the adoption of military innovation

Source: adapted from Michael C. Horowitz, The Diffusion of Military Power: Causes and Consequences for International Politics (Princeton, NJ: Princeton University Press, 2010), 33.

In this diagram, quadrants 1 and 2 are comprised of MWS. For the United States, this is the province of the largest acquisition programs that typical y have service lifetimes stretching multiple decades, such as ships, missiles, or aircraft. These two quadrants also represent the innovation system that often first comes to mind at the mention of “defense innovation system.” The difference between quadrant 1 and 2 is in the organizational Expeditions with MCUP

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capacity required to adopt these weapons systems. Nuclear and biological weapons are examples in which the systems required high financial capacity to develop and field but placed a low burden on organization adoption capacity because they largely fit in with preexisting ways that militaries wage war. These are quadrant 1 systems.

Quadrant 2 is comprised of MWS that are more difficult to adopt.

Aircraft carrier warfare is the quintessential example of the twentieth century because carriers are both a huge financial burden and organizational y difficult to implement. The entire cost of a carrier strike group includes not only the carrier but also al the aircraft flying from it during its lifetime, plus the supporting vessels that protect the carrier and comprise the balance of a strike group. This is a financial burden that is much larger than just the carrier itself. In addition, carrier operations are organizational y difficult to master, requiring substantial (and costly) training and learning from experience (e.g., the routine loss of carrier-borne aircraft that subsequently need replacing).

The MWS in quadrants 1 and 2 are highly defense-specific innovations and are almost exclusively the territory of major defense contractors, which in the United States comprise the Big Six. Other countries may have perhaps only one national champion with significant capabilities in aircraft, shipbuilding, or ground equipment.

For some very long-life systems, most of the financial cost is ultimately in maintenance and upgrade programs (e.g., block upgrades), which makes lifecycle management of these programs an important aspect of the relevant innovation systems and makes long-term government support of these innovation systems inevitable for decades. Among the Expeditions with MCUP

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United States and its al ies, the F-35 program is arguably the best current example, with early examples already subject to an expensive upgrade process.

The financial support and downstream adoption capacity of the U.S.

military Services are typical y the binding constraints on how fast the MWS

innovation system can evolve (i.e., these subsystems are closely coupled with DOD wil ingness to input resources and ability to adopt MWS outputs).

Quadrants 3 and 4 are the province of DUT that general y is not as financial y burdensome as MWS. Importantly, innovations in these quadrants are frequently not specific to defense, varying in the degree to which they are packaged and tailored specifical y to DOD requirements. For example, the Oshkosh Defense Joint Light Tactical Vehicle (JLTV) that replaces the High Mobility Multipurpose Wheeled Vehicle (HMMWV, or Humvee) uses a commercial drivetrain (a General Motors engine and Al ison gearbox from a mass-produced pickup truck) and hundreds of other COTS

components. Another subsystem is smal arms, which is fundamental y a mature technology available from a wide number of sources global y and overlaps with commercial smal arms sales. For instance, the U.S. Army historical y bought sidearms from Beretta in Italy until switching in 2017 to SIG Sauer in Germany.

Information technology and information systems (IT/IS) represent a third subsector in which commercial innovations are pace setting. Examples of such innovations include electronics components (hardware) and cutting-edge AI (software) that are fast evolving.125 In fact, some analysts have argued that the U.S. government is barely keeping up with the rapid clip of Expeditions with MCUP

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commercial innovation in some areas of IT/IS that increasingly consists of DUT that is crucial for national security.126

Quadrant 3 innovations have lower financial intensity and a lower requirement for organizational skil s to adopt them. These innovations therefore diffuse more rapidly both within the DOD and to international competitors. These adoption characteristics have important implications for the pace at which the upstream innovation system can evolve. When civilian versions of DUT are being adopted in the private and public sectors, the DOD’s adoption capacity is not the binding constraint on innovation in this quadrant. Instead, the private sector or international rivals set the pace of learning and evolution that is possible in specific DUT subsystems. Neither is DOD R&D support a binding constraint in these subsystems, since most supplier decisions to fund their own R&D are based on expected commercial outcomes. This makes the R&D trajectory in most DUT systems independent of DOD requirements.

Quadrant 4 differs from quadrant 3 in that innovations in this quadrant require large amounts of organizational capacity to be implemented even though they are less financial y burdensome. Horowitz suggests the military method of blitzkrieg as a prime example, since mastering this style of warfare required significant organizational and doctrine changes but not the introduction of major new weapons systems, per se.127 This article wil mostly discuss quadrant 3 innovations, since they set the pace of evolution for DUT innovation systems.

In sum, this diagram indicates that segmenting the DIS construct by downstream innovation adoption behavior is important for understanding the influences on DIS subsystems. As an analytic construct, innovation Expeditions with MCUP

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systems amalgamate both upstream and downstream elements, placing the emphasis on the networks of organizations that coordinate activities.

Factors such as the flow of information in networks, the degree of interaction between producers and users, the venturesomeness of users, and the pace of innovation adoption are endogenous to innovation systems and therefore help drive the behavior of these systems.

For U.S. DIS, this results in two distinct subsystems that behave in very different ways. The first is organized around MWS and supplied largely by the Big Six who, in turn, rely on a constellation of subcontractors. The second is organized around DUT supplied by thousands of suppliers whose business is not primarily—and sometimes only very peripheral y—in defense. The important outcome observed here is that these subsystems are evolving very differently in terms of speed . This article wil turn to this issue next, where the authors wil also leverage the background research above to explain the performance of U.S. DIS in terms of the speed of evolution.

Analyzing the U.S. Defense Innovation System

Evolution of the MWS Innovation System

The DOD, through its requirement for weapon systems, is heavily dependent on the Big Six defense contractors (as well as a large number of smal er firms) for building and maintaining its MWS. However, many casual onlookers are not aware of the ful extent to which this relationship is interdependent. For MWS, the DOD does not simply contract with suppliers for the delivery of turnkey products. Instead, DOD program management offices (e.g., the F-35 Joint Program Office) run the programs, operating as Expeditions with MCUP

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focal points of innovation subsystems that elements of the Big Six participate in. Each of the Big Six can be thought of as a system that is made up of numerous smal er subsystems (e.g., individual business units, often a particular product office) that DOD elements interact with. There is value in analyzing these subelements that populate DIS rather than assuming Boeing or Northrop Grumman as a whole. In many instances, a quick review of the innovation systems shows a myriad of network connections and joint ventures between subelements of different firms that suggests that these firms are not at al solely in competition with one another in the sense that orthodox economics might emphasize. Instead, they compete and collaborate simultaneously based on multiple positions within particular innovation subsystems.

Analytical y, seeing the individual business units of the Big Six helps overcome an important bias in some studies of defense innovation: the tendency to assume that the size of the Big Six alone is bad for the pace of U.S. military innovation. This assumption is based on the notion that smal entrepreneurial firms are inherently more innovative than large firms. It leads to the suggestion that the DOD can improve its innovation performance simply by doing more business with smal firms.128 However, this image is not entirely accurate. Across al industries, innovation actual y slightly increases with firm size (the size of this effect, however, is smal , implying that innovation simply does not vary much with firm size).129 An alternative explanation is that the DOD bureaucracy may be the key drag on U.S. military innovation, rather than the firms, large or smal , that interact with it.

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Moreover, as has already been emphasized, an innovation systems analysis il ustrates that DOD elements work at an operational level with elements of the Big Six rather than with the corporate entities themselves, which further undermines any supposed link between the size of the major contractors and the pace of innovation. Overal , the evidence suggests that whatever is driving the slow rate of innovation in MWS, it is unlikely to be corporate size itself. It is the view of the authors that there is not enough emphasis in the DOD bureaucracy on how the DOD can make the big defense contractors part of the solution to speeding up innovation.

Another criticism of the Big Six is that they are deficient in proactively innovating.130 However, this view overlooks how R&D for MWS is funded, which is less a function of the behavior of the Big Six and more a function of the institutional organization of the United States’ DIS. The major defense contractors do everything based on DOD demand, including innovation, whether that takes the form of product R&D or manufacturing process innovation. Unlike the DUT innovation system, there is little or no demand signal for speculative innovation in MWS to be pushed up from the supply side.131 As Stephen P. Rodriguez, founding partner of One Defense, puts it: The Big 6 contractors are amazing at scale. They can execute massive programs at scale in the way that very few companies in the world

[are able to], and to their everlasting credit, they need to be enabled and supported to do so. But they don’t innovate on their own. The main reason why they don’t do that is the government isn’t shifting its requirements. So they’re saying: why would I ever just develop something on my own without the government asking for it to begin with?132

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Rodriguez’s comment highlights an important fact: that R&D in the MWS subsystem is driven tightly by what the DOD is wil ing to fund. In the long run, the Big Six have not been R&D constrained, as the Pentagon has generously funded very significant R&D in many areas for decades, to include radar, stealth, advanced electronics, and more. The pertinent observation is that the institutional structure of MWS procurement does not support speculative R&D. Therefore, the MWS innovation system is not going to behave in the same way as DUT systems, in which producers fund their own R&D based on expectations about user demand. The traditional tools of DOD R&D contracting simply do not support speculative R&D by defense contractors.

One advantage of direct DOD sponsorship of R&D is the variety of ways in which the DOD uses the visible hand to organize and coordinate R&D spending. Replacing the invisible hand of the market with the visible hand of managerial coordination was a major theme of research that laid the foundations of corporate strategy, as detailed in Alfred D. Chandler Jr.’s Strategy and Structure: Chapters in the History of the American Industrial Empire. Chandler highlighted the significant role of the visible hand of management in developing innovation capabilities inside the corporation.133

According to one reviewer, “The mistaken notion that economic efficiency was substantial y independent of internal organization was no longer tenable after the book appeared.”134 However, many of the same lessons apply to managing innovation systems, with networks being the principal mechanism for organizing interventions by the visible hand.135

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Here, coordination of R&D occurs in two ways. First, there is coordination across the varied organizations in particular innovation systems in order to produce R&D outcomes that complement each other and are timed with each other. As Mazzucato has highlighted, the DOD has been adept at managing some extremely sophisticated development programs with many R&D elements that needed to arrive on time in order for the final system to be manufactured.136 The DOD thereby escapes some of the worst coordination failures that market-based R&D processes are vulnerable to when producers are unable to coordinate their mutual expectations about one another’s R&D efforts.137 These would normal y result in underinvestment in R&D, to the detriment of speed of advancement of the overal innovation system. A strong dose of the visible hand, in the form of organizational networking, is a key DOD mechanism for averting this problem.

A second form of coordination is between R&D and end-user demand. The DOD is able to coordinate its R&D spending on the basis of its own concentrated pool of demand, which results in relatively efficient demand pul -through of innovations.138 Commercial market processes can also be effective at directing R&D to the creation of new products. However, there is no doubt that market processes typical y create a lot of R&D waste by speculatively exploring areas of demand that fail to transpire. Numerous studies show the vast majority of new commercial products—likely more than 90 percent—fail in the marketplace.139 While the DOD has its own sources of waste, it also has strong incentives to spend its R&D budget wisely on systems that it actual y expects it needs in the future. Therefore, Expeditions with MCUP

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for MWS, the DOD’s direct coordination of R&D helps reduce spending of scarce R&D dollars on systems that the DOD has no intention of fielding.

It is worth remembering that MWS serve both as focal points for innovation, which in theory makes them a coordination point and accelerant of innovation, as well as constraints on the pace of innovation.140 The latter effect arises because the coordination of routines between DOD entities and Big Six entities lock in both sides to the other’s ways of doing things. Take, for example, maintenance practices for a major program such as U.S. Navy ships. Not only are the Big Six in many cases the only players with the required capabilities to perform certain kinds of work, but how the DOD

contracts ship repair work systematical y affects contractors’ abilities to get the work done on the Navy’s timeline. The Navy and its major contractors therefore coproduce ship maintenance services, operating jointly using routines that have co-evolved for dealing with a mutual task. As Karina M.

Fernando notes, the Big Six and smal er DOD prime contractors also have to maintain their own long-term viability:

The [DOD’s] defense strategies to outpace global rivals . . . demand that defense contractors develop products and technologies for the

[DOD] to assert its superiority. Defense contractors must therefore raise and deploy capital towards research, investments, and production of technical y sophisticated defense products. Specific defense requirements also entail contractors to face trade-offs in deciding what to feasibly pursue, from a range of products and services or a shift between defense and commercial business. In the example of a new weapon system build, defense contractors must make capital investments to create a prototypical design in hopes of Expeditions with MCUP

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winning a contract. Those who lose contracts face sunk costs from capital outlays on the prototype. Those who are awarded contracts must make additional investments towards production, which is possibly limited by the project’s funding levels. The customization level for this weapon system also means that production capability may not be immediately scalable to other defense or commercial projects. These contractors face potential y large sunk costs for a relatively smal production run of a highly sophisticated system.141

When delays arise, they are sometimes “both-sides problems,” with DOD contracting practices just as much to blame as contractors for creating a suboptimal system.142 In turn, those contracting practices may not follow actual DOD policy (known as “policy without practice”) and may be fueled by soft factors such as a lack of trust between the DOD and major contractors.143 For example, speeding up ship repair timelines depends on the DOD fixing its own routines for coordinating with contractors or fixing suboptimal relationships with contractors.144

While bureaucratic constraints do exist among the Big Six, given the DOD’s byzantine bureaucratic routines, it is likely that the binding constraint typical y lies on the DOD side. Therefore, a key pathway for accelerating innovation in MWS remains improvements in DOD bureaucratic processes that currently limit the velocity of the overal system.145 Anecdotal evidence suggests that such improvement is possible—for example, the United Kingdom, France, and Japan appear to have much more productive relationships with their major defense contractors.146

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Regardless of upstream inputs to R&D and manufacturing, any innovation system is ultimately constrained by the adoption rate of innovations. DOD adoption dynamics are therefore an especial y important factor that paces the overal MWS innovation system by pacing the portfolio of subsystems. One past chairman of the Defense Innovation Board, Eric Schmidt, stated that the DOD “doesn’t have an innovation problem; it has an innovation adoption problem.”147 The point is that the binding constraint on innovation does not lay with producers in the DIS but rather with the users of the system.

Horowitz’s analysis of military innovation adoption highlights that adoption varies in difficulty for militaries depending on certain general characteristics.148 Those characteristics vary across countries, so what is difficult for one country’s military may not be difficult for another’s. Horowitz claims that this depends on multiple variables, such as the age of a military department. In a complementary analysis, Dima Adamsky claims that broader national cultural factors also impact the wil ingness or reluctance of a country’s military to adopt specific innovations.149 Therefore, there is meaningful variation in the underlying adoption skil s of defense organizations.

Stephen Peter Rosen proposes that internal dynamics in the officer corps also play a role in innovation adoption.150 For example, the U.S. Air Force may be reluctant to adopt unmanned aerial systems (UAS) because its senior ranks are dominated by fighter pilots who tend to see UAS as a threat to the professional community they cherish. However, the Iranian air force may have no such constraints owing to its dilapidated fleet of fighters; nor Expeditions with MCUP

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may ISIS, precisely because it does not have an air force. This means UAS

are seen as an opportunity rather than a threat.

By their very nature, MWS tend to create long-lived stakeholder groups with incentives to resist changes to the status quo of these programs. These groups tend to favor incremental innovations such as block upgrade programs that extend the service life of specific MWS and extra orders for that MWS, which partly explains why MWS develop innovation subsystems that stay in place and slowly evolve over many decades. The U.S. Navy’s Boeing F/A-18 Super Hornet and the U.S. Air Force’s Fairchild Republic A-10 Thunderbolt II (Warthog) programs both serve as exemplars among innumerable other U.S. systems. The same groups have incentives to strongly resist innovations that threaten to substitute or divert funding from the MWS they have a stake in. User rejection of replacement innovations is one key mechanism of resistance. Firsthand accounts of Pentagon bureaucratic politics, such as by former Secretary of Defense Robert M. Gates, have consistently stressed the extent to which the individual military Services wil go to keep the budgets for their own MWS

intact, emphasizing the role that Congress plays in fortifying the Services’

bargaining position.151

In sum, the stance that specific DOD elements take on innovation adoption is an important factor in the behavior of the MWS innovation system. Al other things being equal, these factors tend to slow down the evolution of the MWS innovation system.

New entrants are a final element that affect the speed of evolution of the MWS innovation system. New entrants can be categorized into two distinct groups: domestic edge players that act as subcontractors for the Big Expeditions with MCUP

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Six; and major foreign firms that compete with the Big Six. The first category of edge players comprises the constellation of subcontractors that the Big Six depend on for defense-specific products and services. These organizations also form part of the overal defense innovation system, and it would be wrong to think that they are static. The portfolio of subcontractors working for the Big Six changes over time, such as when block upgrades introduce new technologies into an MWS. Consequently, the evolution of subsystems occurs partly via the introduction of new fringe players, often as MWS subcontractors, since this is one of the major ways of introducing new capabilities into MWS.152

Another group of new entrants are major defense contractors from al ied countries. While the DOD has historical y dealt with non-U.S. defense majors on a very limited basis, the scale of non-U.S. majors has been growing in recent years and has the potential to significantly impact some DIS subsystems. One long-running example is BAE, which was a significant contractor on the AV-8B Harrier jump-jet program for the U.S. Marine Corps beginning in the 1970s, as was mentioned earlier in this article. BAE has major workshare in the development and production of the F-35 Lightning II and works as a major contractor on several other DOD programs. BAE also has significant facilities in the United States.153

The emergence of the Airbus aerospace company is another case in point. Airbus provided significant competition for the U.S. Air Force refueling aircraft program, at one point winning the prime contract with its A330

Multirole Tanker Transport (MRTT), only to see that award overturned in favor of Boeing’s KC-46A Pegasus aerial refueling and transport aircraft.

However, Air Force leadership has grown frustrated with the significant Expeditions with MCUP

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delays and subsystem problems of the KC-46A and have decided to purchase the MRTT in addition to the KC-46A.154 The Airbus A400M Atlas airlifter is currently in use by eight countries as a successor to the Lockheed Martin C-130 Hercules transport aircraft.155 As was mentioned earlier, Airbus also builds helicopters for the U.S. Army in Mississippi. With programs such as these, Airbus may be poised to become a significant influencer in American DIS.

A third example is the Italian shipbuilding company Fincantieri, which, as was mentioned previously, won the U.S. Navy’s Constel ation-class frigate award in 2020 with its FREMM design. The FREMM wil be redesigned to meet U.S. Navy needs and built in Wisconsin.156 Traditional y, policy analysts would highlight the competitive effects that these non-U.S. majors have in the DIS, and this is undoubtedly one aspect of their impact. However, from an innovation system perspective, just as important is the diversity that they bring to the innovation subsystems they wil be a part of. Diversity, meaning different ways of operating, should in principle increase the learning rate in these systems. Final y, non-U.S. majors introduce new potentialities to American DIS because they bring new capabilities to the table that may be combined with existing elements.157 Therefore, their presence should increase the innovative potential of U.S. DIS.

Evolution of DUT Innovation Systems

Although the DOD predominately uses the same contract mechanisms for interacting with different innovation subsystems, it is hard to overstate how different the DUT and MWS innovation systems are in terms of innovation Expeditions with MCUP

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behavior. Of course, both systems have generated significant innovation over time, but they differ greatly in how they do it.

Compared to MWS, a key difference with DUT is the much wider variety of organizations that populate the innovation systems. The DUT

landscape is made up of organizations producing COTS dual-use products and services, a huge array of intermediate goods, and a great deal of hardware and software, and it also includes a significant presence by international organizations. These innovation systems serve some defense needs as one among many market niches.

For example, about 10 percent of field-programmable gate arrays (FPGAs) are used in defense applications, such as aerospace, UAS, satellites, radar, and intelligence, surveil ance, and reconnaissance (ISR) systems.158

FPGAs are an important technology in military applications because they can be optimized for high performance in particular roles. However, they are also an important technology in an ever-widening range of commercial applications, such as 5G wireless networks and hardware solutions for autonomous cars. Those commercial applications make up around 90

percent of FPGA sales.

To continue with the Oshkosh JLTV example, most of the components that go into the JLTV are drawn from DUT innovation systems. The JLTV

benefits from the latest commercial drivetrain technology rather than from R&D investments made by the DOD.159 In this case, the DOD largely leverages technologies that are already commercial y available and then combines and customizes them in unique ways to meet its specific needs.

Indeed, although MWS producers make distinctly defense products, these Expeditions with MCUP

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products encompass components from thousands of subcontractors down the supply chain, and many of these are fundamental y DUT.

A second related factor is that ecosystems of DUT are much more

“open” than for MWS. Entities can enter (and exit) at higher rates in more open systems than in more closed systems. For the United States, an important contrast exists between the pool of MWS producers, which has been marked by consolidation and great stability during the past 25 years, and industries such as computer software and hardware, which has been marked by the entry and exit and fal and rise of a myriad of organizations, some of which are now household brand names.

Moreover, the sources of organizations entering the DUT field is also highly variable, ranging from startups to corporate spinouts and a constant flow of new corporate ventures developed by some of the largest DUT

players. For example, Amazon Web Services (AWS), now the most profitable division of Amazon, began as an internal corporate venture in 2005. AWS

notably bid on and then litigated the DOD’s award to Microsoft of a $10

bil ion Joint Enterprise Defense Infrastructure (JEDI) cloud services contract, with JEDI being subsequently cancelled by the DOD.160

When considering the effects of variety and openness on speed of innovation, it is apparent that DUT innovation systems wil tend to evolve more quickly than MWS innovation systems for three connected reasons.

First, compared to the MWS market dominated by the Big Six, the DUT

sector is populated by a much wider variety of organizations. In innovation theory, researchers sometimes draw on a fundamental theorem from natural selection which posits that the rate of increase in fitness of an organism is constrained by its genetic variance.161 The implication is that Expeditions with MCUP

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innovation systems evolve faster when they contain many different organizations, since there is a larger range of possible variations than in systems with few players and little variation— more is different.162 For example, a wider range of trial-and-error events results in more rapid learning from experience than a narrower range.

In DUT systems, this broader variation is fed, in part, by the openness of the system, which al ows new players to enter on a contingent basis.163

More open systems are more open to the formation of new combinations and new networks of organizations within them. For example, the Pentagon’s anti-improvised explosive device (IED) task force (the Joint Improvised-Threat Defeat Organization, original y created in 2006) screened hundreds of technologies and bought dozens of them in a partial y successful effort to diminish the number of U.S. casualties from IEDs. Most of these products were adaptations of COTS technologies.

A second reason that DUT innovation systems evolve faster than their MWS counterparts is competitive pressure. Even within the MWS system, it is well known that competition leads to significantly better deals for the Pentagon.164 The scope and intensity of competition is connected to the issue of variety, because competition commonly occurs by imitating innovation and by efforts to get ahead of competitors. In the commercial sector, this competitive process is turbocharged because the commercial sector competes on a continuous basis. Would-be market leaders try to escape competition by out-innovating their competitors, only to be chased in the race by fast-following imitators.

Indeed, one well-accepted result of international comparison studies is that innovation systems in particular countries tend to be more Expeditions with MCUP

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competitive when they are subject to the fiercest internal and external competition.165 Firms evolve faster when they are subject to competitive pressure because they must out-innovate international competitors and must learn and adapt to new technologies, including foreign technologies.

So, whereas the United States routinely struggles to generate competition between the Big Six for new MWS contracts, DUT innovation systems are organized global y and subject to global competition. DUT vendors in the United States cannot be shielded from international competition by DOD

bureaucratic processes; they must remain competitive on a continuous basis in the open market for their products and services. As explained by Ashton B. Carter during his tenure as U.S. deputy secretary of defense: While working with our traditional suppliers as they reshape their business models and practices, the [DOD] also encourages new sources of competition in the form of new entrants into our market.

New entrants renew and refresh the technology base and ensure that defense is benefitting from the main currents of emerging technology, particularly commercial technology and technology originating in smal businesses. We must redouble our efforts to lower the barriers to entry. We are addressing many of these barriers—such as needless or time consuming paperwork—again as part of the Better Buying Power Initiative, not just because they impose unnecessary costs but also because we want to make it easier for companies to do business with us.166

Therefore, while the United States is uncompetitive in many arms export markets and limited to selling to countries via special arrangements, Expeditions with MCUP

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special relationships, or because of product monopolies such as the F-35, Apple and AWS are competitive selling products and services in the open market global y. Unlike military capabilities, which are only tested in actual combat on a periodic basis, DUT vendors are tested by competition every single day. A third reason that DUT innovation systems evolve faster than their MWS counterparts is because DUT systems proactively push out new products and services from the supply side based on guesses and insights into innovations that users might be interested in.167 This situation results in a greater diversity of innovations compared to the process of conducting R&D based on a limited DOD R&D budget and a predefined set of DOD

requirements, which is the way that new ideas for MWS are typical y explored. This results in a much bigger supply of new ideas produced on a speculative basis in DUT systems, and these natural y vary more than for MWS, in which specific DOD requirements and (general y) smal er budgets lead to less variety.

Many of the networking processes reviewed earlier in this article involve connecting producers with potential partners and users for the purpose of exploring the variety of ideas brought to the marketplace. Of note, some analysts have pointed out that because the commercial marketplace is general y bigger and less complicated to introduce new technology into than the U.S. government, some startups prefer not to deal with the DOD even though they have innovation ideas of potential y significant military value.168 Because working with the DOD is perceived as coming with significant opportunity costs (i.e., less focus on faster-moving and more lucrative commercial markets), these firms often prefer not to do it.

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While the DOD has tried to selectively mimic commercial sector processes for some technology development and acquisition, the consensus is that these efforts have so far met with limited success, as noted by Rao et al.:

While recent positive progress was acknowledged with respect to DOD accessing new sources of innovation, the consensus among our interviewees was that such activity suffers from a lack of resources and institutional buy-in necessary for successful implementation.

Several subjects highlighted the failure to reconcile new-style innovation approaches (e.g. crowdsourcing, hackathons, innovation challenges, etc.), which are currently in vogue in DOD, with the core roles, missions and functions of the military—in effect creating an

“alternative universe” of bottom-up innovation that has not been internalized by the institution in meaningful ways.169

In short, the new-style innovation approaches attempted thus far have struggled to get traction in a DOD system that does not have complementary processes in place to absorb the innovations that are generated.170 As many observers have pointed out, DOD acquisition processes present numerous constraints on nontraditional acquisition efforts, dooming many of them to ultimate failure and the contention that they amount to mere “innovation tourism” rather than genuine reform efforts.171 Consequently, acquisition law, rules, and bureaucratic practices frequently act as a brake on the DOD’s ability to benefit from participating in faster-moving DUT innovation ecosystems.

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The substantive issue here is that to take advantage of DUT systems in which the DOD isn’t the “kingpin,” the DOD needs to substantial y reform its internal processes. For MWS, the prime contractors have co-evolved processes that enable them to cope with—and some would say manipulate—entrenched DOD bureaucratic processes. In contrast to MWS, where it is essential to do business with the DOD, many participants in DUT

innovation systems have found ways of surviving or flourishing without involving themselves directly in DOD business.

Discussion and Conclusion

This article highlights ways in which the analytic construct of DIS can be a valuable tool for understanding aspects of current great power competition between the United States and China. The central idea is that competition between the United States and China is fundamental y competition between different innovation systems. This adds an important perspective to policy debates because it broadens the analysis of competition from specific elements and toward the overal systems involved. These systems include global technological systems that span across nearly al national innovation systems.

While U.S. industrial policy may have historical y hidden it, the DIS

construct draws attention to the enormous network of organizations involved in the generation, diffusion, and utilization of defense-related technologies.172 For China, the DIS construct helps shed bright light on the military-civil fusion that has become a key aspect of that nation’s innovation strategy.

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For U.S. defense policymakers, innovation systems research offers a number of important insights. The first and most important insight is a central analytical point of innovation systems theory: that organization real y matters . Although economic incentives play an important role in self-organization of these systems, one of the major messages of innovation systems theory is that incentives alone are not sufficient to “manage” the organizational chal enges of these systems. The notion that the invisible hand can meet al of the complex coordination requirements of modern innovation systems remains an attractive—and mistaken—market fundamentalist talking point even today. Contrary to that ideology, the visible

hands

of

defense

management—“bureaucracy”

and

“administration”—have incredibly important roles in coordinating innovation systems.

The coordination and alignment of the plans and expectations of different organizations relies on a super-abundance of networks and managerial coaxing and intervention. These are the activities that lubricate innovation systems, make them work, and keep them working. With stronger integration, collective action is better managed, and these systems perform better and produce innovation faster. This performance is an emergent property of the network. It is also the managerial principles of Mintzberg, Chandler, and many others at work today.

Furthermore, these principles have been actively used by the DOD for more than 50 years, although for a long time this work was done “under the radar screen” and even today exists to a large extent outside the normative bureaucratic processes of the DOD.173 Today, China uses the visible hand aggressively in organizing its civilian and military sectors on an integrated Expeditions with MCUP

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basis, under an explicitly mercantilist model. In the United States, DARPA is perhaps the quintessential example of these management techniques, as no DOD entity offers a better example, over the years, of creating social networks and capital between organizations in the DIS than DARPA does.

A second guiding principle emerging from this study is that the DOD

has different roles in different innovation systems. Though it is a crude approximation, the notion of the DOD as the “kingpin” in the MWS

innovation system remains an important one. With MWS, the kingpin cal s the shots, and the organizations in the system adapt accordingly. The contrast with DUT innovation systems is an important one. In those systems, the DOD is a participant that must compete with other organizations in the system. This puts the DOD in a completely different competitive position, one that it is somewhat maladapted to. In DUT systems, the DOD has no ability to monopolize the rules and dictate the terms of trade, since organizations wil simply do business in commercial and consumer markets instead; and, indeed, they do.

For MWS, the DOD has many legal tools to control the system closely, such as export controls, secrecy laws, and, above al , its virtual monopoly status as a buyer. In these systems, the DOD is an umpire as well as a player. In contrast, DUT innovation systems are run on a commercial institutional backbone, supported by extensive international trade law that is designed to create economic competition. However, this institutional backbone also varies across countries and regions. Fundamental y, no one country controls DUT systems; although some countries have more power than others, how the systems run is highly contested. There is no umpire, only endless contestants.

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This second insight leads to a third. Who must adapt to garner benefits from an innovation system? For MWS, the DOD makes contractors adapt to its constraints, but for DUT, the DOD must adapt. To date, the main DOD policy adaptation targeted at the rising importance of DUT is the introduction of the Third Offset strategy by U.S. secretary of defense Ashton Carter in 2014.174 This introduced some policy novelties, such as significantly more reliance on other transaction authorities (OTAs), a form of noncontractual procurement, and an initial y smal number of organizational innovations such as the Defense Innovation Board, Defense Innovation Unit, and AFWERX. Follow-on activity has resulted in the establishment of imitative organizations such as the SOFWERX, SpaceWERX, and NavalX

technology bridges, as other parts of the DOD have sought to increase their involvement in different DUT systems that they deem critical.175

The predominant objective of these organizations is to find better ways of coordinating innovation activities with DUT providers that are general y more civilian-oriented but whose technologies are of significant interest to the DOD. These policy changes reflect a DOD that is struggling to adapt to the migration of competition in military technologies from MWS to DUT. While the Third Offset strategy has seen some success, critics claim that there is a lack of integration between Third Offset organizations and the regular defense acquisition system that has hindered the military Services in adopting the products and services generated through Third Offset initiatives.176

Furthermore, critics also claim that the balkanization of Third Offset organizations gives permission for core DOD elements to put less emphasis on innovation because of the perception that important aspects of Expeditions with MCUP

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innovation have been “outsourced.” Lastly, for al of the urgent cal s from DOD leadership for a significant increase in speed, the reality is that it takes time to spin up new activities, which is reflected in the limited number of successful innovation implementations driven by Third Offset activities.177

In contrast, China has shown itself to be more adaptive to DUT

systems by playing an unrestrainedly integrated game, using the visible hand and playing to its strengths as a quasisocialist state. The United States, with its traditional y noninterventionist free market ideology, has not been natural y well-positioned to undertake a more comprehensive and aggressively DUT systems policy. Instead, it has pursued a piecemeal set of Third Offset plays. Even today, some critics argue that the DOD is stil only playing half the “game” and wil continue to play with one hand tied behind its back until it develops a truly integrated approach that competes system-on-system across al the subsystems of the DIS.178

Final y, there is a legitimate question about whether the current U.S.

innovation strategy is a winning formula with which to compete with China.

This is an issue on which analysts have highly divergent opinions. For some, the key questions are “Why isn’t the United States currently winning in the innovation competition with China?” and “Why is China seemingly catching up so rapidly with the United States?” Other observers contend that that the worry-mongers in the national security analysis community fundamental y overestimate China’s strengths while systematical y underestimating those of the United States.179

A key insight from innovation systems research can partly resolve these differences of opinion. The United States may indeed have a stronger overal national innovation system than China, yet China may generate more Expeditions with MCUP

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military-relevant power from its innovation system owing to better military-civilian coordination. Traditional economic arguments would focus on the ability of a state to extract higher military outputs through the al ocation of resources. But this overlooks the opportunity to increase military-relevant outputs through better networking and coordination. In other words, a coordinated mercantilist strategy, such as the one that China has been using, may generate more military innovation because it better organizes the relevant innovation systems.

Therefore, for the same resources, China may be getting more “bang for the buck” than the United States is getting. This does not mean that China has solved the majority of coordination problems in its innovation system; it’s clear that many inefficiencies remain. However, it does highlight that U.S. policymakers persistently miss the point that thriving, highly profitable organizations in a nation’s innovation system do not necessarily correspond to an ability to efficiently generate military power for that country. Indeed, there is ample evidence that MWS in particular is a very high-cost system that is only affordable for the United States, since even the closest U.S. al ies only purchase MWS from the United States on a very selective basis. Of course, this increases costs further because it reduces economies of scale that the United States might otherwise enjoy more.

Therefore, while the U.S. DIS is not failing outright, since it produces many valuable outputs, the system is failing in that it is not meeting one of the nation’s self-defined top defense needs: to stay well ahead of China in defense capabilities. In the current context, it makes sense that, as noted in a 2020 Center for Strategic and International Studies report, policymakers Expeditions with MCUP

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“are now considering new paradigms for public- and private-sector cooperation.”180

Where should most of this effort be put? If the era in which the United States can afford to be strong in al technologies is ending, then it would make sense for the United States to focus its efforts on organizing innovation systems on those technologies that matter most for the future.

In short, if the cost of competing in al areas is too high—just as Andy Marshal recognized in 1972—then the situation demands better targeting of available resources on what real y matters. This is fundamental y a strategy question: What does the United States real y need to focus on and prioritize?

One clear choice to be made is for which technologies the United States must be a first mover and for which it is adequate to be a fast follower. As Rao et al. highlight, “there may in fact be a significant second-mover or fast-follower advantage when it comes to technology competition.”181 This prioritization would offer a way of reducing the scope of innovation systems that the DOD needs to invest scarce managerial resources into coordinating. Being a fast follower in some DUT, especial y those in which U.S. firms have strong commercial positions, may be enough to stay competitive with China in some specific technological fields.

For areas in which the United States has strong indigenous capabilities, the risk of being a fast follower may be an expense that may be tolerable as the opportunity cost of staying ahead in some other more important technological areas. Hence, the United States must decide where it is wil ing to carry the risk of being a fast follower in return for substantial Expeditions with MCUP

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financial benefits. It is exactly a choice that China has been making for many years.

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305, https://doi.org/10.1016/0048-7333(86)90027-2

28 Cortney Weinbaum et al., Assessing Systemic Strengths and Vulnerabilities of China’s Defense Industrial Base (Santa Monica, CA: Rand, 2022), https://doi.org/10.7249/RRA930-1.

29 Gian Gentile et al., A History of the Third Offset, 2014–2018 (Santa Monica, CA: Rand, 2021), https://doi.org/10.7249/RRA454-1; and de La Bruyère and Picarsic, “Beijing’s Innovation Strategy.”

30 Christopher Darby and Sarah Sewal , “The Innovation Wars: America’s Eroding Technological Advantage,” Foreign Affairs 100, no. 2 (March/April 2021): 142–53.

31 Ryan Hass, Stronger: Adapting America’s China Strategy in an Age of Competitive Interdependence (New Haven, CT: Yale University Press, 2021).

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35 Octavian Manea, “The Art of Tailoring Competitive Strategies,” Smal Wars Journal, 23

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36 Lewis et al., Putting Innovation into Practice; and Darby and Sewall, “The Innovation Wars.”

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38 Hooks, “The Rise of the Pentagon and U.S. State Building.”

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Definition,”

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46 Mariana Mazzucato, The Entrepreneurial State: Debunking Public vs. Private Sector Myths (London: Anthem Press, 2015); and Mariana Mazzucato, Mission Economy: A Moonshot Guide to Changing Capitalism (New York: HarperCol ins, 2021).

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50 David C. Gompert, “Spin-On: How the U.S. Can Meet China’s Technological Chal enge, Survival 62, no. 3 (2020): 115–130, https://doi.org/10.1080/00396338.2020.1763617.

51 Daniel Kliman et al., Forging an Alliance Innovation Base (Washington, DC: Center for a New American Security, 2020).

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53 Fiscal Year 2021: Top DOD Management Chal enges (Washington, DC: Department of Defense, 2020), 18.

54 Yasmin Tadjdeh, “China Threatens U.S. Primacy in Artificial Intelligence,” National Defense, 30 October 2020; and Interim Report and Third Quarter Recommendations (Washington, DC: National Security Commission on Artificial Intel igence, 2020).

55 Michael C. Horowitz, “Artificial Intel igence, International Competition, and the Balance of Power,”

Texas

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3

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39,

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56 “BAE Systems to Modernize USS Preble under a $103.5 Mil ion Contract,” BAE Systems, 18

August 2020.

57 “AV-8B Harrier II,” Naval History and Heritage Command, 29 May 2014; “Power Surge: Increasing Onboard Electrical Power for the U.S. Navy’s DDG-51 Destroyers,” Rol s-Royce, accessed 21 March 2022; “Lockheed Martin F-35 Lightning II,” in All the World’s Aircraft: Development and Production (Coulsdon, UK: Janes, 2020); and “Constel ation (FFG 62) Class,”

in Jane’s Fighting Ships (Coulsdon, UK: Janes, 2020).

58 Megan Eckstein, “Fincantieri Wins $795M Contract for Navy Frigate Program,” USNI News, 30 April 2020.

59 “Eurocopter EC 145,” in Jane’s Helicopter Markets and Systems (Coulsdon, UK: Janes, 2020).

60 “Embraer KC-390,” in All the World’s Aircraft.

61 James Manyika and William H. McRaven, Innovation and National Security: Keeping Our Edge, Independent Task Force Report no. 77 (New York: Council on Foreign Relations); Dylan Gerstel, Stephanie Segal, and Matthew P. Goodman, Allied Economic Forum: Lessons Learned (Washington, DC: Center for Strategic and International Studies, 2020); and “National Technology and Industrial Base Cooperation: How to Overcome Barriers and Capitalize on Cooperation,” Center for Strategic and International Studies, 9 March 2018.

62 “National Technology and Industrial Base Cooperation.”

63 Manyika and McRaven, Innovation and National Security, 4.

64 Rao, Harrison, and Mulloth, Defense Technological Innovation, 132, 145–46.

65 Gerstel, Segal, and Goodman, Allied Economic Forum, 1.

66 Martijn Rasser et al., The American AI Century: A Blueprint for Action (Washington, DC: Center for a New American Security, 2019), 4.

67 Matthew C. Gaetke, “Mobilization in the 21st Century: Asking the Right Question,” Joint Force Quarterly 99 (4th Quarter 2020): 101–10.

68 Mazzucato, The Entrepreneurial State, 80–85, 104–6; Erica R. H. Fuchs, “Rethinking the Role of the State in Technology Development: DARPA and the Case for Embedded Network Governance,”

Research

Policy

39,

no.

9

(November

2020):

1133–47,

https://doi.org/10.1016/j.respol.2010.07.003; and Robert D. Hof, “Lessons from Sematech,”

MIT Technology Review, 25 July 2011.

69 Rao, Harrison, and Mul oth, Defense Technological Innovation, 137–38.

70 Gerstel and Goodman, From Industrial Policy to Innovation Strategy.

71 Jakob Edler and Jan Fagerberg, “Innovation Policy: What, Why, and How,” Oxford Review of Economic Policy 33, no. 1 (January 2017): 2–23, https://doi.org/10.1093/oxrep/grx001; and Mariana Mazzucato and Gregor Semieniuk, “Public Financing of Innovation: New Questions,” Oxford Review of Economic Policy 33, no. 1 (January 2017): 24–48, https://doi.org/10.1093/oxrep/grw036.

72 Lewis et al., Putting Innovation into Practice.

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66

73 Rao, Harrison, and Mul oth, Defense Technological Innovation, 99; and Robert Asselin and Sean Speer, New North Star III: The Case for a Canada Advanced Research Projects Agency (Ottawa, Canada: Public Policy Forum, 2021).

74 The Contest for Innovation: Strengthening America’s National Security Innovation Base in an Era of Strategic Competition (Washington, DC: Ronald Reagan Presidential Foundation and Institute, 2019), 11.

75 Rising above the Gathering Storm: Energizing and Employing America for a Brighter Economic Future

(Washington,

DC:

National

Academies

Press,

2007),

209,

https://doi.org/10.17226/11463; and Josh Whitford and Andrew Schrank, “The Paradox of the Weak State Revisited: Industrial Policy, Network Governance, and Political Decentralization,” in State of Innovation: The U.S. Government’s Role in Technology Development, ed. Fred Block and Matthew R. Keller (New York: Routledge, 2011), 261–81, https://doi.org/10.4324/9781315631905.

76 Rising above the Gathering Storm, 482; and Samuel J. Brannen et al., Twin Pil ars: Upholding National Security and National Innovation in Emerging Technologies Governance (Washington, DC: Center for Strategic and International Studies, 2020).

77 Franco Malerba, “Sectoral Systems of Innovation and Production,” Research Policy 31, no.

2 (February 2002): 247–64, https://doi.org/10.1016/S0048-7333(01)00139-1; and Franco Malerba and Nicholas Vonortas, “Knowledge-Intensive Entrepreneurship in Europe: Some Policy Conclusions,” in Knowledge-Intensive Entrepreneurship and Innovation Systems: Evidence from Europe, ed. Franco Malerba (London: Routledge, 2013), 299–311.

78 Megan Eckstein, “U.S., U.K. Navies Working to Achieve ‘Interchangeability’ in Carrier Forces, Col aboration on Unmanned and AI,” USNI News, 20 October 2020.

79 Mazzucato, The Entrepreneurial State; and Whitford and Schrank, “The Paradox of the Weak State Revisited.”

80 Fred Block, Matthew R. Kel er, and Marian Negoita, “Network Failure and the Evolution of the U.S. Innovation System,” Journal of Industry, Competition and Trade 20, no. 2 (2020): 235–

47, https://doi.org/10.1007/s10842-019-00324-1.

81 Whitford and Schrank, “The Paradox of the Weak State Revisited,” 270.

82 Walter W. Powel , Kenneth W. Koput, and Laurel Smith-Doerr, “Interorganizational Collaboration and the Locus of Innovation: Networks of Learning in Biotechnology,”

Administrative

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83 Chris Freeman, “The ‘National System of Innovation’ in Historical Perspective,” Cambridge Journal

of

Economics

19,

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1

(February

1995):

5–24,

https://doi.org/10.1093/oxfordjournals.cje.a035309.

84 Robert W. Rycroft and Don E. Kash, “Innovation Policy for Complex Technologies,” Issues in Science and Technology 16, no. 1 (Fall 1999), 73–79.

85 Fuchs, “Rethinking the Role of the State in Technology Development.”

86 Candace Jones, Wil iam S. Hesterly, and Stephen P. Borgatti, “A General Theory of Network Governance: Exchange Conditions and Social Mechanisms,” Academy of Management Review 22, no. 4 (October 1997): 936, https://doi.org/10.2307/259249.

87 Laurel Smith-Doerr and Walter W. Powel , “Networks and Economic Life,” in The Handbook of Economic Sociology, 2d ed., ed. Neil J. Smelser and Richard Swedberg (Princeton, NJ: Princeton University Press, 2005), 379–402.

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67

88 Andrew Hargadon and Robert I. Sutton, “Technology Brokering and Innovation in a Product Development Firm,” Administrative Science Quarterly 42, no. 4 (December 1997): 731, https://doi.org/10.2307/2393655.

89 Rao, Harrison, and Mul oth, Defense Technological Innovation, 100.

90 Fuchs, “Rethinking the Role of the State in Technology Development”; Mazzucato, The Entrepreneurial State, 80–85; and Wil iam B. Bonvil ian, “The Connected Science Model for Innovation: The DARPA Model,” in The DARPA Model for Transformative Technologies: Perspectives on the U.S. Defense Advanced Research Projects Agency, ed. William B. Bonvillian, Richard Van Atta, and Patrick Windham (Cambridge, UK: Open Book Publishers, 2019), 77–

118, https://doi.org/10.11647/OBP.0184.

91 Bruce S. Tether and J. Stan Metcalfe, “Horndal at Heathrow?: Capacity Creation through Co-operation and System Evolution,” Industrial and Corporate Change 12, no. 3 (June 2003): 471, https://doi.org/10.1093/icc/12.3.437.

92 Keith G. Provan and Patrick Kenis, “Modes of Network Governance: Structure, Management, and Effectiveness,” Journal of Public Administration Research and Theory 18, no.

2 (April 2008): 17, https://doi.org/10.1093/jopart/mum015.

93 Cunningham and Ramlogan, “The Impact of Innovation Networks”; and Freeman et al., Innovation Models.

94 Block, “Swimming against the Current,” 171.

95 Hooks, “The Rise of the Pentagon and U.S. State Building”; Glenn R. Fong, “Breaking New Ground or Breaking the Rules: Strategic Reorientation in U.S. Industrial Policy,” International Security 25, no. 2 (2000): 152–86, https://doi.org/10.1162/016228800560480; and Weiss, America Inc.? .

96 Gerstel and Goodman, From Industrial Policy to Innovation Strategy.

97 Whitford and Schrank, “The Paradox of the Weak State Revisited.”

98 Robert H. Wade, “The American Paradox: Ideology of Free Markets and the Hidden Practice of Directional Thrust,” Cambridge Journal of Economics 41, no. 3 (May 2017): 859–80, https://doi.org/10.1093/cje/bew064.

99 Block, “Swimming against the Current”; and Rao, Harrison, and Mul oth, Defense Technological Innovation, 136–37.

100 Weiss, America Inc.? , 195.

101 Weiss, “Re-emergence of Great Power Conflict and U.S. Economic Statecraft.”

102 Weiss, America Inc.? , 195.

103 Weiss, America Inc.? , 195, 201.

104 Oliver E. Wil iamson, Markets and Hierarchies, Analysis and Antitrust Implications: A Study in the Economics of Internal Organization (New York: Free Press, 1975); and Oliver E. Wil iamson,

“Transaction Cost Economics and Organization Theory,” Industrial and Corporate Change 2, no. 2 (1993): 107–56, https://doi.org/10.1093/icc/2.2.107.

105 Jones, Hesterly, and Borgatti, “A General Theory of Network Governance.”

106 Oliver E. Wil iamson, “Transaction Cost Economics and Organization Theory,” in The Handbook of Economic Sociology, ed. Neil J. Smelser and Richard Swedberg (Princeton, NJ: Princeton University Press, 1994), 85.

107 Jones, Hesterly, and Borgatti, “A General Theory of Network Governance.”

108 Jones, Hesterly, and Borgatti, “A General Theory of Network Governance,” 914.

109 Renaud Bel ais and Daniel Fiott, “The European Defense Market: Disruptive Innovation and Market Destabilization,” Economics of Peace and Security Journal 12, no. 1 (2017): 37–45, Expeditions with MCUP

68

https://doi.org/10.15355/epsj.12.1.37; and Andrew Hunter, Modernizing the Nuclear Enterprise in the Era of Rapid Prototyping (Washington, DC: Center for Strategic and International Studies, 2020).

110 Future of Defense Task Force Report 2020 (Washington, DC: House Armed Services Committee, 2020), 46.

111 Military Acquisitions: DOD Is Taking Steps to Address Chal enges Faced by Certain Companies (Washington, DC: Government Accountability Office, 2017); and Eric Lofgren, “OTAs and Beyond: Scaling Innovation in Defense Contracting,” Federal News Network, 14 March 2022.

112 Rao, Harrison, and Mul oth, Defense Technological Innovation, 129–30.

113 Gompert, “Spin-On,” 128.

114 Rao, Harrison, and Mul oth, Defense Technological Innovation, 130–31.

115 Flagg and Corrigan, Ending Innovation Tourism.

116 Lauren A. Mayer et al., Prototyping Using Other Transactions: Case Studies for the Acquisition Community (Santa Monica, CA: Rand, 2020), 50–51, https://doi.org/10.7249/RR4417; and Defense Acquisitions: DOD’s Use of Other Transactions for Prototype Projects Has Increased (Washington, DC: Government Accountability Office, 2019).

117 Horowitz, The Diffusion of Military Power.

118 Block, Kel er, and Negoita, “Network Failure and the Evolution of the U.S. Innovation System.”

119 Block, Kel er, and Negoita, “Network Failure and the Evolution of the U.S. Innovation System,” 245; and Wade, “The American Paradox,” 876.

120 Mark Dodgson, “Col aboration and Innovation Management,” in The Oxford Handbook of Innovation Management, ed. Mark Dodgson, David M. Gann, and Nelson Phillips (Oxford, UK: Oxford

University

Press,

2014),

462–81,

https://doi.org/10.1093/oxfordhb/9780199694945.013.003.

121 Block, Kel er, and Negoita, “Network Failure and the Evolution of the U.S. Innovation System,” 245.

122 Arman Avadikyan and Patrick Cohendet, “Between Market Forces and Knowledge Based Motives: The Governance of Defence Innovation in the UK,” Journal of Technology Transfer 34, no. 5 (2009): 490–504, https://doi.org/10.1007/s10961-008-9102-2.

123 Amar Bhidé, The Venturesome Economy: How Innovation Sustains Prosperity in a More Connected World (Princeton, NJ: Princeton University Press, 2008).

124 Horowitz, The Diffusion of Military Power.

125 Byron Cal an, “The Latest Chal enge for Defense Primes,” Aviation Week and Space Technology, 14 April 2021.

126 Darby and Sewal , “The Innovation Wars.”

127 Horowitz, The Diffusion of Military Power.

128 Weiss, America Inc.? .

129 César Camisón-Zornoza et al., “A Meta-Analysis of Innovation and Organizational Size,”

Organization

Studies

25,

no.

3

(2004):

331–61,

https://doi.org/10.1177%2F0170840604040039.

130 Block, Kel er, and Negoita, “Network Failure and the Evolution of the U.S. Innovation System.”

131 Paul Geroski, The Evolution of New Markets (Oxford, UK: Oxford University Press, 2003), https://doi.org/10.1093/0199248893.001.0001.

132 Rao, Harrison, and Mul oth, Defense Technological Innovation, 130–31. Emphasis added.

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69

133 Alfred D. Chandler Jr., Strategy and Structure: Chapters in the History of the American Industrial Empire (Cambridge, MA: MIT Press, 1962).

134 Marcelo Bucheli, Joseph T. Mahoney, and Paul M. Vaaler, “Chandler’s Living History: The Visible Hand of Vertical Integration in Nineteenth Century America Viewed under a Twenty-first Century Transaction Costs Economics Lens,” Journal of Management Studies 47, no. 5

(2010): 860, https://doi.org/10.1111/j.1467-6486.2010.00927.x.

135 Fuchs, “Rethinking the Role of the State in Technology Development”; and Smith-Doerr and Powell, “Networks and Economic Life.”

136 Mazzucato, Mission Economy.

137 Block, Kel er, and Negoita, “Network Failure and the Evolution of the U.S. Innovation System.”

138 David C. Mowery, “National Security and National Innovation Systems,” Journal of Technology Transfer 34, no. 5 (2009): 455–73, https://doi.org/10.1007/s10961-008-9100-4.

139 Geroski, The Evolution of New Markets.

140 Tether and Metcalfe, “Horndal at Heathrow?.”

141 1stLt Karina M. Fernando, USAF, “Economic Moat: A Line of Defense for the Defense Industry” (thesis, Air Force Institute of Technology, Air University, 2021), 35.

142 Lt Donald S. Northrup, USN, “A Business Process Analysis of the Surface Navy’s Depot Maintenance Program” (thesis, Naval Postgraduate School, 2017).

143 Rene G. Rendon, Thomas V. Huynh, and John S. Osmundson, “Contracting Processes and Structures for Systems-of-Systems Acquisition,” Systems Engineering 15, no. 4 (2012): 471–82, https://doi.org/10.1002/sys.21214.

144 Northrup, “A Business Process Analysis of the Surface Navy’s Depot Maintenance Program.”

145 Dan Patt and Wil iam Greenwalt, Competing in Time: Ensuring Capability Advantage and Mission Success through Adaptable Resource Al ocation (Washington, DC: Hudson Institute, 2021).

146 Gerstel and Goodman, From Industrial Policy to Innovation Strategy.

147 Patrick Tucker, “Here’s How to Stop Squelching New Ideas, Eric Schmidt’s Advisory Board Tells DoD,” Defense One, 17 January 2018.

148 Horowitz, The Diffusion of Military Power.

149 Dima Adamsky, The Culture of Military Innovation: The Impact of Cultural Factors on the Revolution in Military Affairs in Russia, the U.S., and Israel (Stanford, CA: Stanford University Press, 2010).

150 Stephen Peter Rosen, Winning the Next War: Innovation and the Modern Military (Ithaca, NY: Cornel University Press, 1991).

151 Robert M. Gates, Duty: Memoirs of a Secretary at War (New York: Alfred A. Knopf, 2014).

152 Tether and Metcalfe, “Horndal at Heathrow?.”

153 “AV-8B Harrier II”; and “Platforms and Services, North America,” BAE Systems, accessed 21 March 2022.

154 Jan Tegler, “Air Force Seeks to Bridge Aerial Refueling Gap,” National Defense, 14 March 2022.

155 “A400M: Delivery to the Point of Need,” Airbus, accessed 21 March 2022.

156 Ronald O’Rourke, Navy Constel ation (FFG-62) Class Frigate Program: Background and Issues for Congress (Washington, DC: Congressional Research Service, 2022).

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70

157 Stew Magnuson, “The Quad: Creating a Defense Tech Al iance to Stand against China,”

National Defense, 7 December 2021.

158 Martin Hart, “How a Robust FPGA Supply Chain Assures Defense Industry Preparedness,”

Military Embedded Systems, 15 June 2021.

159 Doug Cameron, “Oshkosh Wins $6.75 Bil ion Military Contract to Replace Humvee,” Wal Street Journal, 25 August 2015.

160 Lauren Feiner and Amanda Macias, “Pentagon Cancels $10 Bil ion JEDI Cloud Contract that Amazon and Microsoft Were Fighting over,” CNBC, 6 July 2021.

161 Ronald A. Fisher, The Genetical Theory of Natural Selection: A Complete Variorum Edition, ed.

J. Henry Bennett (Oxford, UK: Oxford University Press, 1999); and Anne Marie Knott and Carl Vieregger, “Reconciling the Firm Size and Innovation Puzzle,” Organization Science 31, no. 2

(2020): 477–88, https://doi.org/10.1287/orsc.2019.1310.

162 P. W. Anderson, “More Is Different,” Science 177, no. 4047 (4 August 1972): 393–96.

163 Tether and Metcalfe, “Horndal at Heathrow?.”

164 Military and Security Developments Involving the People’s Republic of China, 2021: Annual Report to Congress (Washington, DC: Department of Defense, 2021).

165 Freeman, Technology Policy and Economic Performance; Michael E. Porter, “What Is Strategy?,” Harvard Business Review 74, no. 6 (November/December 1996): 61–78; and Gerstel and Goodman, From Industrial Policy to Innovation Strategy.

166 Hearings on the Health and Status of the Defense Industrial Base and Its Science and Technology-Related Elements, before the Subcommittee on Emerging Threats and Capabilities, Senate Committee on Armed Services, 112th Cong. (2011) (statement of Ashton B. Carter, U.S.

Secretary of Defense).

167 Geroski, The Evolution of New Markets.

168 Lewis et al., Putting Innovation into Practice.

169 Rao, Harrison, and Mul oth, Defense Technological Innovation, 130–31.

170 Ron Adner, “Ecosystem as Structure: An Actionable Construct for Strategy,” Journal of Management 43, no. 1 (2016): 39–58, https://doi.org/10.1177/0149206316678451.

171 Flagg and Corrigan, Ending Innovation Tourism.

172 Block, “Swimming against the Current.”

173 Fuchs, “Rethinking the Role of the State in Technology Development”; Hooks, “The Rise of the Pentagon and U.S. State Building”; Mazzucato, Mission Economy; and Rao, Harrison, and Mul oth, Defense Technological Innovation.

174 John A. Tirpak, “The Third Offset,” Air Force Magazine, 25 July 2016.

175 Gentile et al., A History of the Third Offset.

176 Rao, Harrison, and Mul oth, Defense Technological Innovation.

177 Gentile et al., A History of the Third Offset.

178 Darby and Sewal , “The Innovation Wars.”

179 Michael Beckley, Unrivaled: Why America Wil Remain the World’s Sole Superpower (Ithaca, NY: Cornel University Press, 2018); Gholz and Sapolsky, “The Defense Innovation Machine; Hass, Stronger; and Lewis et al., Putting Innovation into Practice.

180 Gerstel and Goodman, From Industrial Policy to Innovation Strategy.

181 Rao, Harrison, and Mul oth, Defense Technological Innovation, 142 .

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71