KOUAKOU, Dorgyles C.M. and SZEGO, Eva (2024): Evaluating the integration of artificial intelligence technologies in defense activities and the effect of national innovation system performance on its enhancement.
Preview |
PDF
MPRA_paper_120617.pdf Download (743kB) | Preview |
Abstract
This paper employs graph theory to assess the extent of integration of artificial intelligence (AI) technologies within defense activities and investigates how the performance of the national innovation system (NIS) influences this integration. The analysis utilizes data from 33 countries with defense industries, observed from 1990 to 2020. Empirical findings indicate that the United States (U.S.) leads globally, with a significant gap between the U.S. and other countries. NIS performance increases the level of integration of AI technologies in defense activities, suggesting that policies aimed at strengthening NIS performance should have positive externalities on defense activities in terms of integrating AI technologies. Technological diversification, knowledge localization, and originality are key dimensions of NIS performance that significantly enhance the integration of AI technologies within defense activities. They exhibit similar average marginal effects, suggesting comparable impacts. The cycle time of technologies has an inverted-U shaped relationship with the level of integration.
Item Type: | MPRA Paper |
---|---|
Original Title: | Evaluating the integration of artificial intelligence technologies in defense activities and the effect of national innovation system performance on its enhancement |
English Title: | Evaluating the integration of artificial intelligence technologies in defense activities and the effect of national innovation system performance on its enhancement |
Language: | English |
Keywords: | Integration of AI technologies; Defense activities; National innovation system |
Subjects: | L - Industrial Organization > L6 - Industry Studies: Manufacturing > L64 - Other Machinery ; Business Equipment ; Armaments O - Economic Development, Innovation, Technological Change, and Growth > O3 - Innovation ; Research and Development ; Technological Change ; Intellectual Property Rights > O31 - Innovation and Invention: Processes and Incentives O - Economic Development, Innovation, Technological Change, and Growth > O3 - Innovation ; Research and Development ; Technological Change ; Intellectual Property Rights > O34 - Intellectual Property and Intellectual Capital O - Economic Development, Innovation, Technological Change, and Growth > O3 - Innovation ; Research and Development ; Technological Change ; Intellectual Property Rights > O38 - Government Policy |
Item ID: | 120617 |
Depositing User: | Dr. Dorgyles C.M. KOUAKOU |
Date Deposited: | 07 Apr 2024 08:00 |
Last Modified: | 07 Apr 2024 08:00 |
References: | Anh, N.T.M., Hoa, L.T.K., Thao, L. P., Nhi, D.A., Long, N. T., Truc, N. T. and V. Ngoc Xuan, 2024, "The Effect of technology readiness on adopting artificial intelligence in accounting and auditing in Vietnam," Journal of Risk and Financial Management, 17(1): 27-42. Balzat, M. and A. Pyka, 2006, "Mapping national innovation systems in the OECD area. International," Journal of Technology and Globalisation, 2(1-2): 158-176. Barrat, A., Barthelemy, M., Pastor-Satorras, R. and A. Vespignani, 2004, "The architecture of complex weighted networks," Proceedings of the national academy of sciences, 101(11): 3747-3752. Bellais, R., 1998, "Les enjeux de la maîtrise de l'information dans la défense," Réseaux, Communication-Technologie-Société, 16(91): 121-133. Bertschek, I., 1995, "Product and process innovation as a response to increasing imports and foreign direct investment," The Journal of Industrial Economics, 43(4): 341-357. Bollobás, B., 1998, Modern graph theory. Springer Science+Business Media. Castellacci, F., 2011, "Closing the technology gap?" Review of Development Economics, 15(1): 180-197. Cámara, N. and D. Tuesta, 2018, "Measuring financial inclusion: A multidimensional index," IFC Bulletins chapters, in Bank for International Settlements (ed.), The role of data in supporting financial inclusion policy, Bank for International Settlements. Chen, T., Gascó-Hernandez, M. and M. Esteve, 2024, "The adoption and implementation of artificial intelligence chatbots in public organizations: Evidence from US state governments," The American Review of Public Administration, 54(3): 255-270. Corrocher, N., Malerba, F. and A. Morrison, 2021, "Technological regimes, patent growth, and catching-up in green technologies," Industrial and Corporate Change, 30(4): 1084-1107. Cragg, J. G. and S.G. Donald, 1993, "Testing identifiability and specification in instrumental variable models," Econometric theory, 9(2): 222-240. Defense Innovations Board (DIB), 2019, "AI principles: Recommendations on the ethical use of artificial intelligence by the department of defense," Supporting document, Defense Innovations Board. Dupuy, R., 2013, "L’industrie européenne de défense: changements institutionnels et stratégies de coopétition des firmes," Innovations, 3(42), 85-107. Fauconnet, C., 2021, "Les graphes de cooccurrences technologiques pour l’analyse de l’innovation," Technologie et Innovation, 1-13. Fleming, L. and O. Sorenson, 2001, "Technology as a complex adaptive system: Evidence from patent data," Research Policy, 30(7), 1019-1039. Fleming, L. and O. Sorenson, 2004, "Science as a map in technological search," Strategic Management Journal, 25(8-9): 909-928. Filippetti, A. and A. Peyrache, 2011, "The patterns of technological capabilities of countries: A dual approach using composite indicators and data envelopment analysis," World Development, 39(7): 1108-1121. Gasmi, F., Kouakou, D.C.M., Noumba Um, P. and P. Rojas Milla, 2024, "An empirical analysis of the social contract in the MENA region and the role of digitalization in its transformation," Economics of Transition and Institutional Change, Forthcoming. Gautier, L., 2019, "La guerre augmentée ? Enjeux et défis de l’IA dans les conflits futurs," Pouvoirs, 3(170): 83-93. Hainmueller, J., 2012, "Entropy balancing for causal effects: A multivariate reweighting method to produce balanced samples in observational studies," Political Analysis, 20(1): 25-46. Haley, M., 2014, "Information technology and the quality improvement in defense industries," The TQM Journal, 26(4): 348-359. Hausman, J. A., 1978, "Specification tests in econometrics," Econometrica, 46(6): 1251-1271. Henderson, R.M. and K.B. Clark, 1990, "Architectural innovation: The reconfiguration of existing product technologies and the failure of established firms," Administrative Science Quarterly, 35(1): 9-30. Horowitz, M.C., Allen, G.C., Saravalle, E., Cho, A., Frederick, K. and P. Scharre, 2018, "Artificial intelligence and international security," Center for a New American Security. Howitt, P. and P. Aghion, 1998, "Capital accumulation and innovation as complementary factors in long-run growth," Journal of Economic Growth, 3: 111-130. Khan, A., Imam, I. and A. Azam, 2021, "Role of artificial intelligence in defence strategy," Strategic Studies, 41(1): 19-40. King, R.G. and R. Levine, 1993, "Finance, entrepreneurship and growth," Journal of Monetary Economics, 32(3): 513-542. Kouakou, D.C.M. and K.I.H. Yéo, 2023, "Can innovation reduce the size of the informal economy? Econometric evidence from 138 countries," MPRA Paper No. 119264. Krafft, J., Quatraro, F. and P.P. Saviottti, 2011, "The knowledge-base evolution in biotechnology: A social network analysis," Economics of Innovation and New Technology 20(5): 445-475. Krafft, J., Quatraro, F. and P.P. Saviottti, 2014, "Knowledge characteristics and the dynamics of technological alliances in pharmaceuticals: Empirical evidence from Europe, US and Japan,” Journal of Evolutionary Economics, 24(3): 587-622. Jaffe, A.B., Trajtenberg, M. and R. Henderson, 1993, "Geographic localization of knowledge spillovers as evidenced by patent citations," The Quarterly Journal of Economics, 108(3): 577-598. Jolliffe, I.T., 1990, "Principal component analysis: A beginner's guide - I. Introduction and application," Weather, 45(10): 375-382. Lazo, M. and R. Ebardo, 2023, "Artificial intelligence adoption in the banking industry: Current state and future prospect," Journal of Innovation Management, 11(3): 54-74. Lebert, D. and F.X. Meunier, 2019, "The diffusion of biomedical engineering technologies: evidence from patent data," Innovation Forum, RNI, Naples. Lee, K. and J. Lee, 2020, "National innovation systems, economic complexity, and economic growth," Journal of Evolutionary Economics, 30: 897-928. Lee, K., Lee, J. and J. Lee, 2021, "Variety of national innovation systems (NIS) and alternative pathways to growth beyond the middle-income stage: Balanced, imbalanced, catching-up, and trapped NIS," World Development, 144: 105472. Lemaire, J., 2018, "La nouvelle vague de l’intelligence artificielle et le monde de la défense," Revue Défense Nationale, 4(809): 83-88. Lundvall, B.A, 1992, National Systems of Innovation: Toward a Theory of Innovation and Interactive Learning. Anthem Press. Mérindol, V., 2015, "Technologies de l’information et variété des formes de co-création: Vers un nouveau paradigme pour la défense américaine," Gérer et comprendre, 1(119): 42-52. Meunier, F.X., 2021, "La diffusion des technologies d’ingénierie biomédicale : Evidences sur données des brevets," Technologie et Innovation, 1-12. Pallante, G., Russo, E. and A. Roventini, 2023, "Does public R&D funding crowd-in private R&D investment? Evidence from military R&D expenditures for US states," Research Policy, 52(8): 104807. Papke, L.E. and J.M. Wooldridge, 1996, "Econometric methods for fractional response variables with an application to 401(k) plan participation rates," Journal of Applied Econometrics, 11(6): 619-632. Papke, L.E. and J.M. Wooldridge, 2008, "Panel data methods for fractional response variables with an application to test pass rates," Journal of Econometrics, 145(1-2): 121-133. Réal, P., 2019, "L’intelligence artificielle et ses applications : Un défi stratégique pour la France," Un monde en turbulence - Regards du CHEM 2019 - 68e session. Saviotti, P.P., 2009, "Knowledge networks: Structure and dynamics," in Pyka, A. and A. Scharnhorst (eds), Innovation networks: New approaches in modelling and analyzing, Springer-Verlag, 19-41. Sayler, K.M., 2020, "Artificial intelligence and national security," Congressional Research Service. Stock, J. and M. Yogo, 2005, "Asymptotic distributions of instrumental variables statistics with many instruments," in Andrews, D.W.K. and J.H. Stock (eds), Identification and inference for econometric models: Essays in honor of Thomas Rothenberg, 109-120. Svenmarck, P., Luotsinen, L., Nilsson, M. and J. Schubert, 2018, "Possibilities and challenges for artificial intelligence in military applications," Proceedings of the NATO Big Data and Artificial Intelligence for Military Decision Making Specialists Meeting, 1-16. Taddeo, M., McNeish, D., Blanchard, A. and E. Edgar, 2021, "Ethical principles for artificial intelligence in national defence," Philosophy & Technology, 34: 1707-1729. Tübbicke, S., 2022, "Entropy balancing for continuous treatments," Journal of Econometric Methods, 11(1): 71-89. Vegetabile, B.G., Griffin, B.A., Coffman, D.L., Cefalu, M., Robbins, M.W. and D.F. McCaffrey, 2021, "Nonparametric estimation of population average dose-response curves using entropy balancing weights for continuous exposures," Health Services and Outcomes Research Methodology, 21(1): 69-110. Villani, C., 2019, "Les enjeux de l’IA pour la Défense de demain," Revue Défense Nationale, 5(820): 23-29. WIPO, 2019, "WIPO technology trends 2019: Artificial intelligence," World Intellectual Property Organization (WIPO). Wooldridge, J.M., 2019, "Correlated random effects models with unbalanced panels," Journal of Econometrics, 211(1): 137-150. |
URI: | https://mpra.ub.uni-muenchen.de/id/eprint/120617 |