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Research Article

Data Science in Military Decision-Making: Foci and Gaps

ORCID Icon &
Received 22 Nov 2023, Accepted 03 May 2024, Published online: 02 Jun 2024

References

  • Adams, Richard J., Palie Smart, and Anne Sigismund Huff. 2017. “Shades of Grey: Guidelines for Working with the Grey Literature in Systematic Reviews for Management and Organizational Studies.” International Journal of Management Reviews 19 (4): 432–454. https://doi.org/10.1111/ijmr.12102.
  • Ahmad, Norita, Areeba Hamid, Vian Ahmed, and Preeti Chauhan. 2022. “Data Science: Hype and Reality.” Computer 55 (2): 95–101. https://doi.org/10.1109/MC.2021.3130365.
  • Alaimo, Cristina, and Jannis Kallinikos. 2022. “Organizations Decentered: Data Objects, Technology and Knowledge.” Organization Science 33 (1): 19–37.
  • Allen, Ryan T., and Prithwiraj (Raj) Choudhury. 2022. “Algorithm-Augmented Work and Domain Experience The Countervailing Forces of Ability and Aversion.” Organization Science 33 (1): 149–169. https://doi.org/10.1287/orsc.2021.1554.
  • Altmann, Jürgen, and Frank Sauer. 2017. “Autonomous Weapon Systems and Strategic Stability.” Survival 59 (5): 117–142. https://doi.org/10.1080/00396338.2017.1375263.
  • Álvarez-Miranda, Eduardo, Jordi Garcia-Gonzalo, Felipe Ulloa-Fierro, Andrés Weintraub, and Susana Barreiro. 2018. “A Multicriteria Optimization Model for Sustainable Forest Management Under Climate Change Uncertainty: An Application in Portugal.” European Journal of Operational Research 269 (1): 79–98. https://doi.org/10.1016/j.ejor.2017.04.052.
  • Amoroso, Daniele, and Guglielmo Tamburrini. 2021. “In Search of the ‘Human Element’: International Debates on Regulating Autonomous Weapons Systems.” The International Spectator 56 (1): 20–38. https://doi.org/10.1080/03932729.2020.1864995.
  • Aouni, Belaid, Fouad Ben Abdelaziz, and Davide La Torre. 2012. “The Stochastic Goal Programming Model: Theory and Applications.” Journal of Multi-Criteria Decision Analysis 19 (5–6): 185–200. https://doi.org/10.1002/mcda.1466.
  • Ardil, C. 2020. “A Comparative Analysis of Multiple Criteria Decision Making Analysis Methods for Strategic, Tactical, and Operational Decisions in Military Fighter Aircraft Selection.” International Journal of Aerospace and Mechanical Engineering 14 (7): 275–288.
  • Arvidsson, Viktor, Jonny Holmström, and Kalle Lyytinen. 2014. “Information Systems use as Strategy Practice: A Multi-Dimensional View of Strategic Information System Implementation and use.” Journal of Strategic Information Systems 23 (1): 45–61. https://doi.org/10.1016/j.jsis.2014.01.004.
  • Aversa, Paolo, Laure Cabantous, and Stefan Haefliger. 2018. “When Decision Support Systems Fail: Insights for Strategic Information Systems from Formula 1.” Journal of Strategic Information Systems 27 (3): 221–236. https://doi.org/10.1016/j.jsis.2018.03.002.
  • Ayoub, Kareem, and Kenneth Payne. 2016. “Strategy in the Age of Artificial Intelligence.” The Journal of Strategic Studies 39: 793–819. https://doi.org/10.1080/01402390.2015.1088838.
  • Band, Shahab S., Sina Ardabili, Mehdi Sookhak, Anthony Theodore Chronopoulos, Said Enaffar, Massoud Moslehpour, Mako Csaba, Bernat Torok, Hao-Ting Pai, and Amir Mosavi. 2022. “When Smart Cities Get Smarter via Machine Learning: An In-Depth Literature Review.” IEEE Access 10: 60985–61015. https://doi.org/10.1109/ACCESS.2022.3181718.
  • Barzashka, Ivanka. 2023. “Seeking Strategic Advantage: The Potential of Combining Artificial Intelligence and Human-Centred Wargaming.” The RUSI Journal 30: 11. https://www.tandfonline.com/action/showCitFormats?. https://doi.org/10.1080/03071847.2023.2282862.
  • Bayrak, Alparslan Emrah, Christopher McComb, Jonathan Cagan, and Kenneth Kotovsky. 2021. “A Strategic Decision-Making Architecture Toward Hybrid Teams for Dynamic Competitive Problems.” Decision Support Systems 144. https://doi.org/10.1016/j.dss.2020.113490.
  • Beraldi, P., A. Violi, and F. De Simone. 2011. “A Decision Support System for Strategic Asset Allocation.” Decision Support Systems 51 (3): 549–561. https://doi.org/10.1016/j.dss.2011.02.017.
  • Berger, Jean, Abdeslem Boukhtouta, Abdelhamid Benmoussa, and Ossama Kettani. 2012. “A new Mixed-Integer Linear Programming Model for Rescue Path Planning in Uncertain Adversarial Environment.” Computers and Operations Research 39 (12): 3420–3430. https://doi.org/10.1016/j.cor.2012.05.002.
  • Bhagat, Kaushal Kumar, Wei-Kai Liou, and Chun-Yen Chang. 2016. “A Cost-Effective Interactive 3D Virtual Reality System Applied to Military Live Firing Training.” Virtual Reality 20 (2): 127–140. https://doi.org/10.1007/s10055-016-0284-x.
  • Blair, Dave, Joseph O. Chapa, Scott Cuomo, and Jules Hurst. 2021. “Humans and Hardware: An Exploration of Blended Tactical Workflows Using John Boyd's OODA Loop.” In The Conduct of War in the 21st Century: Kinetic, Connected and Synthetic, edited by Robert Johnson, Martijn Kitzen, and Tim Sweijs, 93–115. Milton: Taylor & Francis Group.
  • Bode, I., and G. Qiao-Franco. 2024. “AI Geopolitics and International Relations: A Divided World Behind Contested Conceptions of Human Control. Manuscript Submitted for Publication.” In Handbook on Public Policy and Artificial Intelligence, edited by R. Paul, E. Carmel, and J. Cobbe. Cheltenham: Edward Elgar Publishing. https://findresearcher.sdu.dk/ws/portalfiles/portal/224959944/Bode_Qiao_Franco_AI_Geopolitics_2023.pdf
  • Bodrožić, Zlatko, and Paul S. Adler. 2022. “Alternative Futures for the Digital Transformation: A Macro-Level Schumpeterian Perspective.” Organization Science 33 (1): 105–125. https://doi.org/10.1287/orsc.2021.1558.
  • Brandt, Tobias, Sebastian Wagner, and Dirk Neumann. 2021. “Prescriptive Analytics in Public-Sector Decision-Making: A Framework and Insights from Charging Infrastructure Planning.” European Journal of Operational Research 291 (1): 379–393. https://doi.org/10.1016/j.ejor.2020.09.034.
  • Bravo, Mila, David Pla-Santamaria, and Ana Garcia-Bernabeu. 2010. “Portfolio Selection from Multiple Benchmarks: A Goal Programming Approach to an Actual Case.” Journal of Multi-Criteria Decision Analysis 17 (5-6): 155–166. https://doi.org/10.1002/mcda.460.
  • Caballero, William N., and Brian J. Lunday. 2020. “Robust Influence Modeling Under Structural and Parametric Uncertainty An Afghan Counternarcotics use Case.” Decision Support Systems 128. https://doi.org/10.1016/j.dss.2019.113161.
  • Caddell, John, Matthew Dabkowski, Patrick J. Driscoll, and Patrick DuBois. 2020. “Improving Stochastic Analysis for Tradeoffs in Multi-Criteria Value Models.” Journal of Multi-Criteria Decision Analysis 27 (5-6): 304–317. https://doi.org/10.1002/mcda.1717.
  • Cavdur, Fatih, and Asli Sebatli. 2019. “A Decision Support Tool for Allocating Temporary-Disaster-Response Facilities.” Decision Support Systems 127. https://doi.org/10.1016/j.dss.2019.113145.
  • Chen, Wenbin, Kun Fu, Jiawei Zuo, Xinwei Zheng, Tinglei Huang, and Wenjuan Ren. 2017. “Radar Emitter Classification for Large Data set Based on Weighted-Xgboost.” IET Radar, Sonar & Navigation 11 (8): 1203–1207. https://doi.org/10.1049/iet-rsn.2016.0632.
  • Chen, Haipeng, Qian Han, Sushil Jajodia, Roy Lindelauf, V. S. Subrahmanian, and Yanhai Xiong. 2020. “Disclose or Exploit? A Game-Theoretic Approach to Strategic Decision Making in Cyber-Warfare.” IEEE Systems Journal 14 (3): 3779–3790. https://doi.org/10.1109/JSYST.2020.2964985.
  • Constantiou, Ioanna, Arisa Shollo, and Morten Thanning Vendelø. 2019. “Mobilizing Intuitive Judgement During Organizational Decision Making: When Business Intelligence is not the Only Thing That Matters.” Decision Support Systems 121: 51–61. https://doi.org/10.1016/j.dss.2019.04.004.
  • Coombs, Crispin, Donald Hislop, Stanimira K. Taneva, and Sarah Barnard. 2020. “The Strategic Impacts of Intelligent Automation for Knowledge and Service Work: An Interdisciplinary Review.” Journal of Strategic Information Systems 29 (4): 101600.
  • Crootof, Rebecca. 2015. “The Killer Robots Are Here: Legal and Policy Implications.” CardozoLaw Review 36: 1837–1915.
  • Davis, Zachary. 2019. “Artificial Intelligence on the Battlefield.” PRISM (Institute for National Strategic Security, National Defense University) 8 (2): 114–131. https://www.jstor.org/stable/10.230726803234.
  • Davis, Steven I. 2022. “Artificial Intelligence at the Operational Level of war.” Defense & Security Analysis 38 (1): 74–90. https://doi.org/10.1080/14751798.2022.2031692.
  • Davis, Michael T., Matthew J. Robbins, and Brian J. Lunday. 2017. “Approximate Dynamic Programming for Missile Defense Interceptor Fire Control.” European Journal of Operational Research 259 (3): 873–886. https://doi.org/10.1016/j.ejor.2016.11.023.
  • Dear, Keith. 2019a. “Artificial Intelligence and Decision Making.” RUSI Journal 164 (5-6): 18–25. https://doi.org/10.1080/03071847.2019.1693801.
  • Dear, Keith. 2019b. “Will Russia Rule the World Through AI? Assessing Putin’s Rhetoric Against Russia’s Reality.” RUSI Journal 164 (5-6): 36–60. https://doi.org/10.1080/03071847.2019.1694227
  • Degaut, Marcos. 2016. “Spies and Policymakers: Intelligence in the Information Age.” Intelligence and National Security 31 (4): 509–531. https://doi.org/10.1080/02684527.2015.1017931.
  • Department of Defense. 2020. DoD Data Strategy. Washington: Department of Defense.
  • Durbach, Ian N., and Theodor J. Stewart. 2012. “Modeling Uncertainty in Multi-Criteria Decision Analysis.” European Journal of Operational Research 223 (1): 1–14. https://doi.org/10.1016/j.ejor.2012.04.038.
  • Durst, Carolin, Michael Durst, Thomas Kolonko, Andreas Neef, and Florian Greif. 2015. “A Holistic Approach to Strategic Foresight: A Foresight Support System for the German Federal Armed Forces.” Technological Forecasting & Social Change 97: 91–104. https://doi.org/10.1016/j.techfore.2014.01.005.
  • Eldridge, Christopher, Christopher Hobbs, and Matthew Moran. 2018. “Fusing Algorithms and Analysts: Open-Source Intelligence in the age of ‘Big Data’.” Intelligence and National Security 33 (3): 391–406. https://doi.org/10.1080/02684527.2017.1406677.
  • Ermağan, Umut, Barış Yıldız, and F. Sibel Salman. 2022. “A Learning Based Algorithm for Drone Routing.” Computers and Operations Research 137. https://doi.org/10.1016/j.cor.2021.105524.
  • Erspamer, Christopher, Francesca Della Torre, Giulia Massini, Guido Ferilli, Pier Luigi Sacco, and Paolo Massimo Buscema. 2022. “Global World (dis-)Order? Analyzing the Dynamic Evolution of the Micro-Structure of Multipolarism by Means of an Unsupervised Neural Network Approach.” Technological Forecasting & Social Change 175. https://doi.org/10.1016/j.techfore.2021.121351.
  • Ferrari, Jair Feldens, and Mingyuan Chen. 2020. “A Mathematical Model for Tactical Aerial Search and Rescue Fleet and Operation Planning.” International Journal of Disaster Risk Reduction 50. https://doi.org/10.1016/j.ijdrr.2020.101680.
  • Ferretti, Valentina, Irene Pluchinotta, and Alexis Tsoukiàs. 2019. “Studying the Generation of Alternatives in Public Policy Making Processes.” European Journal of Operational Research 273 (1): 353–363. https://doi.org/10.1016/j.ejor.2018.07.054.
  • Fertier, Audrey, Anne-Marie Barthe-Delanoë, Aurélie Montarnal, Sébastien Truptil, and Frédérick Bénaben. 2020. “A new Emergency Decision Support System: The Automatic Interpretation and Contextualisation of Events to Model a Crisis Situation in Real-Time.” Decision Support Systems 133. https://doi.org/10.1016/j.dss.2020.113260.
  • Fitzpatrick, Mark. 2019. “Artificial Intelligence and Nuclear Command and Control.” Survival 61 (3): 81–92. https://doi.org/10.1080/00396338.2019.1614782.
  • Frank, Aaron. 2017. “Computational Social Science and Intelligence Analysis.” Intelligence and National Security 32 (5): 579–599. https://doi.org/10.1080/02684527.2017.1310968.
  • Freedman, Lawrence. 2013. Strategy: A History. Oxford: Oxford University Press.
  • Frikha, Ahmed, and Hela Moalla. 2015. “Analytic Hierarchy Process for Multi-Sensor Data Fusion Based on Belief Function Theory.” European Journal of Operational Research 241 (1): 133–147. https://doi.org/10.1016/j.ejor.2014.08.024.
  • Frutos-Pascual, Maite, and Begoñya García Zapirain. 2017. “Review of the Use of AI Techniques in Serious Games: Decision Making and Machine Learning.” IEEE Transactions on Computational Intelligence and AI in Games 9 (2): 133–152. https://doi.org/10.1109/TCIAIG.2015.2512592.
  • Galliott, Jai. 2017. “The Limits of Robotic Solutions to Human Challenges in the Land Domain.” Defence Studies 17 (4): 327–345. https://doi.org/10.1080/14702436.2017.1333890.
  • Ganor, Boaz. 2021. “Artificial or Human: A New Era of Counterterrorism Intelligence?” Studies in Conflict & Terrorism 44 (7): 605–624. https://doi.org/10.1080/1057610X.2019.1568815.
  • García-Fernández, Luis Enrique, and Mercedes Garijo. 2010. “Modeling Strategic Decisions Using Activity Diagrams to Consider the Contribution of Dynamic Planning in the Profitability of Projects Under Uncertainty.” IEEE Transactions on Engineering Management 57 (3): 463–476. https://doi.org/10.1109/TEM.2009.2033048.
  • Garcia, Denise. 2024. “Algorithms and Decision-Making in Military Artificial Intelligence.” Global Society 38: 24–33. https://doi.org/10.1080/13600826.2023.2273484.
  • Ghasemaghaei, Maryam. 2019. “Does Data Analytics use Improve Firm Decision Making Quality The Role of Knowledge Sharing and Data Analytics Competency.” Decision Support Systems 120: 14–24. https://doi.org/10.1016/j.dss.2019.03.004.
  • Ghasemaghaei, Maryam, and Goran Calic. 2019. “Can big Data Improve Firm Decision Quality? The Role of Data Quality and Data Diagnosticity.” Decision Support Systems 120: 38–49. https://doi.org/10.1016/j.dss.2019.03.008.
  • Ghasemaghaei, Maryam, Sepideh Ebrahimi, and Khaled Hassanein. 2018. “Data Analytics Competency for Improving Firm Decision Making Performance.” Journal of Strategic Information Systems 27 (1): 101–113. https://doi.org/10.1016/j.jsis.2017.10.001.
  • Goldfarb, Avi, and Jon R. Lindsay. 2022. “Prediction and Judgment: Why Artificial Intelligence Increases the Importance of Humans in War.” International Security 46 (3): 7–50. https://doi.org/10.1162/isec_a_00425.
  • Grønsund, Tor, and Margunn Aanestad. 2020. “Augmenting the Algorithm: Emerging Human-in-the-Loop Work.” Journal of Strategic Information Systems 29: 2.
  • Günther, Wendy Arianne, Mohammad H. Rezazade Mehrizi, Marleen Huysman, and Frans Feldberg. 2017. “Debating big Data: A Literature Review on Realizing Value from big Data.” Journal of Strategic Information Systems 26 (3): 191–209. https://doi.org/10.1016/j.jsis.2017.07.003.
  • Gutjahr, Walter J., and Pamela C. Nolz. 2016. “Multicriteria Optimization in Humanitarian aid.” European Journal of Operational Research 252 (2): 351–366. https://doi.org/10.1016/j.ejor.2015.12.035.
  • He, Shawei. 2022. “A Time Sensitive Graph Model for Conflict Resolution with Application to International air Carbon Negotiation.” European Journal of Operational Research 302 (2): 652–670.
  • Hipel, Keith W., and Liping Fang. 2021. “The Graph Model for Conflict Resolution and Decision Support.” IEEE Transactions on Systems, Man, and Cybernetics 51 (1): 131–141. https://doi.org/10.1109/TSMC.2020.3041462.
  • Hoffman, Frank G. 2019. “Squaring Clausewitz’s Trinity in the Age of Autonomous Weapons.” Orbis 63 (1): 44–63. https://doi.org/10.1016/j.orbis.2018.12.011.
  • Holford, W. David. 2020. “An Ethical Inquiry of the Effect of Cockpit Automation on the Responsibilities of Airline Pilots: Dissonance or Meaningful Control?” Journal of Business Ethics: 1–17. https://doi.org/10.1007/s10551-020-04640-z.
  • Horowitz, Michael C. 2019. “When Speed Kills: Lethal Autonomous Weapon Systems, Deterrence and Stability.” Journal of Strategic Studies 42 (6): 764–788. https://doi.org/10.1080/01402390.2019.1621174.
  • Horowitz, Michael C., Lauren Kahn, and Casey Mahoney. 2020. “The Future of Military Applications of Artificial Intelligence: A Role for Confidence-Building Measures?” Orbis 64 (4): 528–543. https://doi.org/10.1016/j.orbis.2020.08.003.
  • Horowitz, M. C., P. Scharre, and A. Velez-Green. 2019. “A Stable Nuclear Future? The Impact of Autonomous Systems and Artificial Intelligence.” arXiv Preprint Arxiv:1912.05291 1–35. https://arxiv.org/pdf/1912.05291
  • Hunter, Lance Y., Craig Albert, Josh Rutland, and Chris Hennigan. 2022. “The Fourth Industrial Revolution, Artificial Intelligence, and Domestic Conflict.” Global Society 37 (3): 375–396. https://doi.org/10.1080/13600826.2022.2147812.
  • Islam, Gazi. 2022. “Business Ethics and Quantification: Towards an Ethics of Numbers.” Journal of Business Ethics 176 (2): 195–211. https://doi.org/10.1007/s10551-020-04694-z.
  • Islam, Gazi, and Michelle Greenwood. 2022. “The Metrics of Ethics and the Ethics of Metrics.” Journal of Business Ethics 175 (1): 1–5. https://doi.org/10.1007/s10551-021-05004-x
  • Jabbari, Mona, Shaya Sheikh, Meysam Rabiee, and Asil Oztekin. 2022. “A Collaborative Decision Support System for Multi-Criteria Automatic Clustering.” Decision Support Systems 153. https://doi.org/10.1016/j.dss.2021.113671.
  • Jafarzadeh, Hamed, Jalil Heidary-Dahooie, Pouria Akbari, and Alireza Qorbani. 2022. “A Project Prioritization Approach Considering Uncertainty, Reliability, Criteria Prioritization, and Robustness.” Decision Support Systems 156. https://doi.org/10.1016/j.dss.2022.113731.
  • Jaspersen, Johannes G., and Gilberto Montibeller. 2020. “On the Learning Patterns and Adaptive Behavior of Terrorist Organizations.” European Journal of Operational Research 282 (1): 221–234. https://doi.org/10.1016/j.ejor.2019.09.011.
  • Jenkins, Phillip R., Matthew J. Robbins, and Brian J. Lunday. 2021. “Approximate Dynamic Programming for the Military Aeromedical Evacuation Dispatching, Preemption-Rerouting, and Redeployment Problem.” European Journal of Operational Research 290 (1): 132–143. https://doi.org/10.1016/j.ejor.2020.08.004.
  • John–Mathews, Jean–Marie, Dominique Cardon, and Christine Balagué. 2022. “From Reality to World. A Critical Perspective on AI Fairness.” Journal of Business Ethics: 1–15. https://doi.org/10.1007/s10551-022-05055-8.
  • Johnson, James. 2019a. “Artificial Intelligence & Future Warfare: Implications for International Security.” Defense & Security Analysis 35 (2): 147–169. https://doi.org/10.1080/14751798.2019.1600800.
  • Johnson, James. 2019b. “The AI-Cyber Nexus: Implications for Military Escalation, Deterrence and Strategic Stability.” Journal of Cyber Policy 4 (3): 442–460. https://doi.org/10.1080/23738871.2019.1701693.
  • Johnson, James. 2020a. “Artificial Intelligence, Drone Swarming and Escalation Risks in Future Warfare.” The RUSI Journal 165 (2): 26–36. https://doi.org/10.1080/03071847.2020.1752026.
  • Johnson, James. 2020b. “Deterrence in the age of Artificial Intelligence & Autonomy: A Paradigm Shift in Nuclear Deterrence Theory and Practice?” Defense & Security Analysis 36 (4): 422–448. https://doi.org/10.1080/14751798.2020.1857911.
  • Johnson, James. 2020c. “Delegating Strategic Decision-Making to Machines: Dr. Strangelove Redux?” Journal of Strategic Studies: 1–39. https://doi.org/10.1080/01402390.2020.1759038.
  • Jones, Matthew. 2019. “What we Talk About When we Talk About (big) Data.” Journal of Strategic Information Systems 28 (1): 3–16. https://doi.org/10.1016/j.jsis.2018.10.005.
  • Kadar, Cristina, Rudolf Maculan, and Stefan Feuerriegel. 2019. “Public Decision Support for low Population Density Areas: An Imbalance-Aware Hyper-Ensemble for Spatio-Temporal Crime Prediction.” Decision Support Systems 119: 107–117. https://doi.org/10.1016/j.dss.2019.03.001.
  • Kania, Elsa B. 2019. “Chinese Military Innovation in the AI Revolution.” RUSI Journal 164 (5-6): 26–34. https://doi.org/10.1080/03071847.2019.1693803.
  • Katagiri, Nori. 2023. “Artificial Intelligence and Cross-Domain Warfare: Balance of Power and Unintended Escalation.” Global Society. https://doi.org/10.1080/13600826.2023.2248179.
  • Kim, Buomsoo, Jinsoo Park, and Jihae Suh. 2020. “Transparency and Accountability in AI Decision Support: Explaining and Visualizing Convolutional Neural Networks for Text Information.” Decision Support Systems 134. https://doi.org/10.1016/j.dss.2020.113302.
  • Konrad, Renata A., Andrew C. Trapp, Timothy M. Palmbach, and Jeffrey S. Blom. 2017. “Overcoming Human Trafficking via Operations Research and Analytics: Opportunities for Methods, Models, and Applications.” European Journal of Operational Research 259 (2): 733–745. https://doi.org/10.1016/j.ejor.2016.10.049.
  • Krieg, Andreas, and Jean-Marc Rickli. 2018. “Surrogate Warfare: The art of war in the 21st Century?” Defence Studies 18 (2): 113–130. https://doi.org/10.1080/14702436.2018.1429218.
  • Laan, Corine M., Ana Isabel Barros, Richard J. Boucherie, Herman Monsuur, and Wouter Noordkamp. 2020. “Optimal Deployment for Anti-Submarine Operations with Time-Dependent Strategies.” Journal of Defense Modeling and Simulation: Applications, Methodology, Technology 17 (4): 419–434. https://doi.org/10.1177/1548512919855435.
  • Laguir, Issam, Shivam Gupta, Indranil Bose, Rebecca Stekelorum, and Lamia Laguir. 2022. “Analytics Capabilities and Organizational Competitiveness: Unveiling the Impact of Management Control Systems and Environmental Uncertainty.” Decision Support Systems 156. https://doi.org/10.1016/j.dss.2022.113744.
  • Lawson, Ewan, and Richard Barrons. 2016. “Warfare in the Information Age.” RUSI Journal 161 (5): 20–26. https://doi.org/10.1080/03071847.2016.1253371.
  • Ledwith, Matthew C., Brandon J. Hufstetler, and Mark A. Gallagher. 2021. “Stochastic Preemptive Goal Programming to Balance Goal Achievements Under Uncertainty.” Journal of Multi-Criteria Decision Analysis 28 (1-2): 85–98. https://doi.org/10.1002/mcda.1734.
  • Leicht-Deobald, Ulrich, Thorsten Busch, Christoph Schank, Antoinette Weibel, Simon Schafheitle, Isabelle Wildhaber, and Gabriel Kasper. 2019. “The Challenges of Algorithm-Based HR Decision-Making for Personal Integrity.” Journal of Business Ethics 160 (2): 377–392. https://doi.org/10.1007/s10551-019-04204-w.
  • Lewis, Larry. 2019. “Resolving the Battle Over Artificial Intelligence in War.” RUSI Journal 164 (5-6): 62–71. https://doi.org/10.1080/03071847.2019.1694228.
  • Li, Xiong, Wei Pu, Jiang Rong, Xian Xiao, and Xiaodong Zhao. 2022. “Terrain Visualization Information Integration in Agent-Based Military Industrial Logistics Simulation.” Journal of Industrial Information Integration 25. https://doi.org/10.1016/j.jii.2021.100260.
  • Liddy, Lynda. 2004. “The Strategic Corporal: Some Requirements in Training and Education.” Australian Army Journal 11 (2): 139–148.
  • Liesiö, Juuso, Ahti Salo, Jeffrey M. Keisler, and Alec Morton. 2021. “Portfolio Decision Analysis: Recent Developments and Future Prospects.” European Journal of Operational Research 293 (3): 811–825. https://doi.org/10.1016/j.ejor.2020.12.015.
  • Lim, Kevjn. 2016. “Big Data and Strategic Intelligence.” Intelligence and National Security 31 (4): 619–635. https://doi.org/10.1080/02684527.2015.1062321.
  • Lin, Kuo-Ping, and Kuo-Chen Hung. 2011. “An Efficient Fuzzy Weighted Average Algorithm for the Military UAV Selecting Under Group Decision-Making.” Knowledge-Based Systems 24 (6): 877–889. https://doi.org/10.1016/j.knosys.2011.04.002.
  • Lobo, Benjamin J., Donald E. Brown, Matthew S. Gerber, and Peter J. Grazaitis. 2018. “A Transient Stochastic Simulation–Optimization Model for Operational Fuel Planning in-Theater.” European Journal of Operational Research 264 (2): 637–652. https://doi.org/10.1016/j.ejor.2017.06.057.
  • Luoma, Jukka. 2016. “Model-based Organizational Decision Making: A Behavioral Lens.” European Journal of Operational Research 249 (3): 816–826. https://doi.org/10.1016/j.ejor.2015.08.039.
  • Luttwak, Edward N. 1980. “The Operational Level of War.” International Security 5 (3): 61–79. https://doi.org/10.2307/2538420.
  • Maas, Matthijs M. 2019. “How Viable is International Arms Control for Military Artificial Intelligence? Three Lessons from Nuclear Weapons.” Contemporary Security Policy 40 (3): 285–311. https://doi.org/10.1080/13523260.2019.1576464.
  • Marabelli, Marco, Sue Newell, and Valerie Handunge. 2021. “The Lifecycle of Algorithmic Decision-Making Systems: Organizational Choices and Ethical Challenges.” Journal of Strategic Information Systems 30 (3): 101683.
  • Margolis, Joshua T., Yongjia Song, and Scott J. Mason. 2022. “A Markov Decision Process Model on Dynamic Routing for Target Surveillance.” Computers and Operations Research. https://doi.org/10.1016/j.cor.2022.105699.
  • Marjanovic, Olivera, and Dubravka Cecez-Kecmanovic. 2017. “Exploring the Tension Between Transparency and Datification Effects of Open Government IS Through the Lens of Complex Adaptive Systems.” Journal of Strategic Information Systems 26 (3): 210–232. https://doi.org/10.1016/j.jsis.2017.07.001.
  • Martin, Kirsten. 2019. “Ethical Implications and Accountability of Algorithms.” Journal of Business Ethics 160 (4): 835–850. https://doi.org/10.1007/s10551-018-3921-3.
  • Martin, Kirsten, and Ari Waldman. 2022. “Are Algorithmic Decisions Legitimat? The Effect of Process and Outcomes on Perceptions of Legitimacy of AI Decisions.” Journal of Business Ethics 177: 1–18. https://doi.org/10.1007/s10551-020-04725-9.
  • Marttunen, Mika, Judit Lienert, and Valerie Belton. 2017. “Structuring Problems for Multi-Criteria Decision Analysis in Practice: A Literature Review of Method Combinations.” European Journal of Operational Research 263 (1): 1–17. https://doi.org/10.1016/j.ejor.2017.04.041.
  • Matheny, Michael R. 2016. “The Fourth Level of War.” Joint Force Quarterly 80 (1): 62–66.
  • Melancon, Andree-Anne. 2020. “What's Wrong with Drones? Automatization and Target Selection.” Small Wars & Insurgencies 31 (4): 801–821. https://doi.org/10.1080/09592318.2020.1743486.
  • Metz, Steven. 2020. “The Future of Strategic Leadership.” The US Army War College Quarterly: Parameters 50 (2): 61–67.
  • Miller, K. C., A. Bordetsky, J. C. Mun, R. W. Maule, and A. G. Pollman. 2021. “Merging Future Knowledgebase System of Systems with Artificial Intelligence Machine Learning Engines to Maximize Reliability and Availability for Decision Support.” Military Operations Research 26 (4): 77–93. https://doi.org/10.5711/1082598326477.
  • Ministry of Defence. 2020. Defence Vision 2035 Fighting for a safer future. Ministry of Defence. The Hague: MoD.
  • Mora, Manuel, Francisco Cervantes-Pérez, Ovsei Gelman-Muravchik, and Guisseppi A. Forgionne. 2012. “Modeling the Strategic Process of Decision-Making Support Systems Implementations: A System Dynamics Approach Review.” IEEE Transactions on Systems, Man, and Cybernetics 42 (6): 899–912. https://doi.org/10.1109/TSMCC.2011.2171482.
  • Moreira, Catarina, Yu-Liang Chou, Mythreyi Velmurugan, Chun Ouyang, Renuka Sindhgatta, and Peter Bruza. 2021. “LINDA-BN: An Interpretable Probabilistic Approach for Demystifying Black-box Predictive Models.” Decision Support Systems 150. https://doi.org/10.1016/j.dss.2021.113561.
  • Moskowitz, Herbert, Paul Drnevich, Okan Ersoy, Kemal Altinkemer, and Alok Chaturvedi. 2011. “Using Real-Time Decision Tools to Improve Distributed Decision-Making Capabilities in High-Magnitude Crisis Situations.” Decision Sciences 42 (2): 477–493. https://doi.org/10.1111/j.1540-5915.2011.00319.x.
  • Mufalli, Frank, Rajan Batta, and Rakesh Nagi. 2012. “Simultaneous Sensor Selection and Routing of Unmanned Aerial Vehicles for Complex Mission Plans.” Computers and Operations Research 39 (11): 2787–2799. https://doi.org/10.1016/j.cor.2012.02.010.
  • Nadj, Mario, Alexander Maedche, and Christian Schieder. 2020. “The Effect of Interactive Analytical Dashboard Features on Situation Awareness and Task Performance.” Decision Support Systems 135. https://doi.org/10.1016/j.dss.2020.113322.
  • Naeem, Huma, and Asif Masood. 2010. “An Optimal Dynamic Threat Evaluation and Weapon Scheduling Technique.” Knowledge-Based Systems 23 (4): 337–342. https://doi.org/10.1016/j.knosys.2009.11.012.
  • National Academies of Sciences, Engineering, and Medicine. 2021. Empowering the Defense Acquisition Workforce to Improve Mission Outcomes Using Data Science. Washington, DC: The National Academies Press. https://doi.org/10.17226/25979.
  • Newell, Sue, and Marco Marabelli. 2015. “Strategic Opportunities (and Challenges) of Algorithmic Decision-Making: A Call for Action on the Long-Term Societal Effects of ‘Datification’.” Journal of Strategic Information Systems 24 (1): 3–14. https://doi.org/10.1016/j.jsis.2015.02.001
  • Nieto, Yuri, Vicente Gacía-Díaz, Carlos Montenegro, Claudio Camilo González, and Rubén González Crespo. 2019. “Usage of Machine Learning for Strategic Decision Making at Higher Educational Institutions.” IEEE Access 7: 75007–75017. https://doi.org/10.1109/ACCESS.2019.2919343.
  • Nurkin, Tate, and Stephen Rodriguez. 2019. “A Framework for Understanding Applied AI.” Atlantic Council: 22–41. http://www.jstor.com/stable/resrep20946.6.
  • Omohundro, Steve. 2014. “Autonomous Technology and the Greater Human Good.” Journal of Experimental & Theoretical Artificial Intelligence 26 (3): 303–315. https://doi.org/10.1080/0952813X.2014.895111.
  • Onderco, Michal, and Madeline Zutt. 2021. “Emerging Technology and Nuclear Security: What Does the Wisdom of the Crowd Tell us?” Contemporary Security Policy 42 (3): 286–311. https://doi.org/10.1080/13523260.2021.1928963.
  • Ormerod, R. J. 2014. “Critical Rationalism in Practice: Strategies to Manage Subjectivity in OR Investigations.” European Journal of Operational Research 235 (3): 784–797. https://doi.org/10.1016/j.ejor.2013.12.018.
  • Ormerod, Richard J., and Werner Ulrich. 2013. “Operational Research and Ethics: A Literature Review.” European Journal of Operational Research 228 (2): 291–307. https://doi.org/10.1016/j.ejor.2012.11.048.
  • Pang, Min-Seok, and Paul A. Pavlou. 2019. “On Information Technology and the Safety of Police Officers.” Decision Support Systems 127. https://doi.org/10.1016/j.dss.2019.113143.
  • Pashakhanlou, Arash Heydarian. 2019. “AI, Autonomy, and Airpower: The end of.” Defence Studies 19 (4): 337–352. https://doi.org/10.1080/14702436.2019.1676156.
  • Paul, Jomon A., and Minjiao Zhang. 2021. “Decision Support Model for Cybersecurity Risk Planning: A two-Stage Stochastic Programming Framework Featuring Firms, Government, and Attacker.” European Journal of Operational Research 291 (1): 349–364. https://doi.org/10.1016/j.ejor.2020.09.013.
  • Payne, Kenneth. 2018a. “Artificial Intelligence: A Revolution in Strategic Affairs?” Survival 60 (5): 7–32. https://doi.org/10.1080/00396338.2018.1518374.
  • Pethig, Florian, and Julia Kroenung. 2022. “Biased Humans, (Un)Biased Algorithms?” Journal of Business Ethics: 1–16. https://doi.org/10.1007/s10551-022-05071-8.
  • Phillips-Wren, Gloria, Mary Daly, and Frada Burstein. 2021. “Reconciling Business Intelligence, Analytics and Decision Support Systems: More Data, Deeper Insight.” Decision Support Systems 146. https://doi.org/10.1016/j.dss.2021.113560.
  • Phillips, Peter J., and Gabriela Pohl. 2020. “Countering Intelligence Algorithms.” RUSI Journal 165 (7): 22–32. https://doi.org/10.1080/03071847.2021.1893126.
  • Ploumis, Michaeil. 2022. “AI Weapon Systems in Future war Operations; Strategy, Operations and Tactics.” Comparative Strategy 41 (1): 1–18. https://doi.org/10.1080/01495933.2021.2017739.
  • Price, Matthew, Stephen Walker, and Will Wiley. 2018. “The Machine Beneath: Implications of Artificial Intelligence in Strategic Decision.” PRISM 7 (4): 92–105.
  • Provost, Foster, and Tom Fawcett. 2013. “Data Science and Its Relationship to Big Data and Data-Driven Decision Making.” Big Data 1: 51–59. https://doi.org/10.1089/big.2013.1508.
  • RAND. 2020. Military Applications of Artificial Intelligence: Ethical Concerns in an Uncertain World. Santa Monica: RAND Corporation.
  • RAND. 2021a. Technology Innovation and the Future of Air Force Intelligence Analysis: Volume 1, Findings and Recommendations. Santa Monica: RAND Corporation.
  • RAND. 2021b. Developing an Air Force Retention Early Warning System: Concept and Initial Prototype. Santa Monica: RAND Corporation.
  • Razmak, Jamil, and Belaid Aouni. 2015. “Decision Support System and Multi-Criteria Decision Aid: A State of the Art and Perspectives.” Journal of Multi-Criteria Decision Analysis 22 (1-2): 101–117. https://doi.org/10.1002/mcda.1530.
  • Regens, James L. 2019. “Augmenting Human Cognition to Enhance Strategic Operational and Tactical Intelligence.” Intelligence and National Security 34 (5): 673–687. https://doi.org/10.1080/02684527.2019.1579410.
  • Rocha, Clara, Luis C. Dias, and Isabel Dimas. 2013. “Multicriteria Classification with Unknown Categories: A Clustering–Sorting Approach and an Application to Conflict Management.” Journal of Multi-Criteria Decision Analysis 20 (1-2): 13–27. https://doi.org/10.1002/mcda.1476.
  • Roff, Heather M. 2014. “The Strategic Robot Problem: Lethal Autonomous Weapons in War.” Journal of Military Ethics 13 (3): 211–227. https://doi.org/10.1080/15027570.2014.975010.
  • Roff, Heather M., and David Danks. 2018. “"Trust but Verify": The Difficulty of Trusting Autonomous Weapons Systems.” Journal of Military Ethics 17 (1): 2–20. https://doi.org/10.1080/15027570.2018.1481907.
  • Roponen, Juho, David Ríos Insua, and Ahti Salo. 2020. “Adversarial Risk Analysis Under Partial Information.” European Journal of Operational Research 287 (1): 306–316. https://doi.org/10.1016/j.ejor.2020.04.037.
  • Saaty, Thomas L., and H. J. Zoffer. 2012. “A New Approach To The Middle East Conflict: The Analytic Hierarchy Process.” Journal of Multi-Criteria Decision Analysis 19 (5-6): 201–225. https://doi.org/10.1002/mcda.1470.
  • Sáenz-Royo, Carlos, Vicente Salas-Fumás, and Álvaro Lozano-Rojo. 2022. “Authority and Consensus in Group Decision Making with Fallible Individuals.” Decision Support Systems 153. https://doi.org/10.1016/j.dss.2021.113670.
  • Saifer, Adam, and M. Tina Dacin. 2021. “Data and Organization Studies: Aesthetics, Emotions, Discourse and our Everyday Encounters with Data.” Organization Studies. https://doi.org/10.1177/01708406211006250.
  • Sari, Onur, and Sener Celik. 2021. “Legal Evaluation of the Attacks Caused by Artificial Intelligence-Based Lethal Weapon Systems Within the Context of Rome Statute.” Computer Law & Security Review 42. https://doi.org/10.1016/j.clsr.2021.105564.
  • Schätter, Frank, Ole Hansen, Marcus Wiens, and Frank Schultmann. 2019. “A Decision Support Methodology for a Disaster-Caused Business Continuity Management.” Decision Support Systems 118: 10–20. https://doi.org/10.1016/j.dss.2018.12.006.
  • Schneider, Jacquelyn. 2019. “The Capability/Vulnerability Paradox and Military Revolutions: Implications for Computing Cyber and the Onset of war.” Journal of Strategic Studies 42 (6): 841–863. https://doi.org/10.1080/01402390.2019.1627209.
  • Semiz, Fatih, and Faruk Polat. 2020. “Solving the Area Coverage Problem with UAVs: A Vehicle Routing with Time Windows Variation.” Robotics and Autonomous Systems 126. https://doi.org/10.1016/j.robot.2020.103435.
  • Sharkey, Noel. 2010. “Saying ‘No!’ to Lethal Autonomous Targeting.” Journal of Military Ethics 9 (4): 369–383. https://doi.org/10.1080/15027570.2010.537903
  • Shrestha, Yash Raj, Vivianna Fang He, Phanish Puranam, and Georg von Krogh. 2021. “Algorithm Supported Induction for Building Theory: How Can We Use Prediction Models to Theorize?” Organization Science 32 (3): 856–880. https://doi.org/10.1287/orsc.2020.1382.
  • Snyder, Hannah. 2019. “Literature Review as a Research Methodology: An Overview and Guidelines.” Journal of Business Research 104: 333–339. https://doi.org/10.1016/j.jbusres.2019.07.039.
  • Song, Il-Yeol, and Yongjun Zhu. 2016. “Big Data and Data Science: What Should we Teach?” Expert Systems 33 (4): 364–373. https://doi.org/10.1111/exsy.12130.
  • Speigel, Ian. 2021. “Adopting and Improving a new Forecasting Paradigm.” Intelligence and National Security 36 (7): 961–977. https://doi.org/10.1080/02684527.2021.1946955.
  • Srivastava, Saurabh Ranjan, Yogesh Kumar Meena, and Girdhari Singh. 2021. “The Landscape of Soft Computing Applications for Terrorism Analysis: A Review.” Applied Soft Computing Journal 113. https://doi.org/10.1016/j.asoc.2021.107977.
  • Steff, Brittany. 2021. “Data Science Pairs with Cancer Research for Better Diagnostics, Therapies.” Purdue University. 19 5. Accessed June 10, 2022. https://www.purdue.edu/newsroom/releases/2021/Q2/data-science-pairs-with-cancer-research-for-better-diagnostics,-therapies.html.
  • Sullivan, Yulia W., and Samuel Fosso Wamba. 2022. “Moral Judgments in the Age of Artificial Intelligence.” Journal of Business Ethics: 1–27. https://doi.org/10.1007/s10551-022-05053-w.
  • Sun, Xiaolei, Jianping Li, Dengsheng Wu, and Shanli Yi. 2011. “Energy Geopolitics and Chinese Strategic Decision of the Energy-Supply Security: A Multiple-Attribute Analysis.” Journal of Multi-Criteria Decision Analysis 18 (1-2): 151–160. https://doi.org/10.1002/mcda.479.
  • Tappe, Jonathan, and Fredrik Doeser. 2021. “A Machine Learning Approach to the Study of German Strategic Culture.” Contemporary Security Policy 42 (4): 450–474. https://doi.org/10.1080/13523260.2021.1992150.
  • Tavakoli, Asin, Daniel Schlagwein, and Detlef Schoder. 2017. “Open Strategy: Literature Review, re-Analysis of Cases and Conceptualisation as a Practice.” Journal of Strategic Information Systems 26 (3): 163–184. https://doi.org/10.1016/j.jsis.2017.01.003.
  • Tedjopurnomo, David Alexander, Zhifeng Bao, Baihua Zheng, Farhana Murtaza Choudhury, and A. K. Qin. 2022. “A Survey on Modern Deep Neural Network for Traffic Prediction: Trends, Methods and Challenges.” IEEE Transactions on Knowledge and Data Engineering 34 (4): 1544–1561.
  • Telkamp, Jake B., and Marc H. Anderson. 2022. “The Implications of Diverse Human Moral Foundations for Assessing the Ethicality of Artificial Intelligence.” Journal of Business Ethics: 1–16. https://doi.org/10.1007/s10551-022-05057-6.
  • Torraco, Richard J. 2005. “Writing Integrative Literature Reviews: Guidelines and Examples.” Human Resource Development Review 4 (3): 356–367. https://doi.org/10.1177/1534484305278283.
  • Tóth, Zsófia, Robert Caruana, Thorsten Gruber, and Claudia Loebbecke. 2022. “The Dawn of the AI Robots: Towards a New Framework of AI Robot Accountability.” Journal of Business Ethics: 1–22. https://doi.org/10.1007/s10551-022-05050-z.
  • Umbrello, Steven, Phil Torres, and Angelo F. De Bellis. 2020. “The Future of war: Could Lethal Autonomous Weapons Make Conflict More Ethical?” AI & Society 35 (1): 273–282. https://doi.org/10.1007/s00146-019-00879-x.
  • Valencia-Parra, Álvaro, Luisa Parody, Ángel Jesús Varela-Vaca, Ismael Caballero, and María Teresa Gómez-López. 2021. “DMN4DQ: When Data Quality Meets DMN.” Decision Support Systems 141. https://doi.org/10.1016/j.dss.2020.113450.
  • Veldhuis, Guido A., Nico M. de Reus, and Bas M.J. Keijser. 2020. “Concept Development for Comprehensive Operations Support with Modeling and Simulation.” Journal of Defense Modeling and Simulation: Applications, Methodology, Technology 17 (1): 99–116. https://doi.org/10.1177/1548512918814407.
  • Vemprala, Naga, Charles Zhechao Liu, and Kim-Kwang Raymond Choo. 2021. “From Puzzles to Portraits: Enhancing Situation Awareness During Natural Disasters Using a Design Science Approach.” Decision Sciences: 1–21. https://doi.org/10.1111/deci.12527.
  • Verboven, Sam, Jeroen Berrevoets, Chris Wuytens, Bart Baesens, and Wouter Verbeke. 2021. “Autoencoders for Strategic Decision Support.” Decision Support Systems 150. https://doi.org/10.1016/j.dss.2020.113422.
  • Vilkkumaa, Eeva, Juuso Liesiö, Ahti Salo, and Leena Ilmola-Sheppard. 2018. “Scenario-based Portfolio Model for Building Robust and Proactive Strategies.” European Journal of Operational Research 266 (1): 205–220. https://doi.org/10.1016/j.ejor.2017.09.012.
  • Vogel, Kathleen M., Gwendolynne Reid, Christopher Kampe, and Paul Jones. 2021. “The Impact of AI on Intelligence Analysis: Tackling Issues of Collaboration, Algorithmic Transparency, Accountability, and Management.” Intelligence and National Security 36 (6): 827–848. https://doi.org/10.1080/02684527.2021.1946952.
  • Voorberg, S., R. Eshuis, W. van Jaarsveld, and G. J. van Houtum. 2021. “Decisions for Information or Information for Decisions? Optimizing Information Gathering in Decision-Intensive Processes.” Decision Support Systems 151: 113632. https://doi.org/10.1016/j.dss.2021.113632.
  • Wall, Christopher. 2021. “The (Non) Deus Ex Machina: A Realistic Assessment of Machine Learning for Countering Domestic Terrorism.” Studies in Conflict & Terrorism: 1–23. https://doi.org/10.1080/1057610X.2021.1987656.
  • Warren, Aiden, and Alek Hillas. 2020. “Friend or Frenemy? The Role of Trust in Human-Machine Teaming and Lethal Autonomous Weapons Systems.” Small Wars & Insurgencies 31 (4): 822–850. https://doi.org/10.1080/09592318.2020.1743485.
  • Wen, Chunhui, Jinhai Yang, Liu Gan, and Yang Pan. 2021. “Big Data Driven Internet of Things for Credit Evaluation and Early Warning in Finance.” Future Generation Computer Systems 124: 295–307. http://doi.org/10.1016/j.future.2021.06.003.
  • Westin, Carl, Clark Borst, and Brian Hilburn. 2016. “Strategic Conformance: Overcoming Acceptance Issues of Decision Aiding Automation?” IEEE Transactions on Human-Machine Systems 46 (1): 41–52. https://doi.org/10.1109/THMS.2015.2482480.
  • Wing, Jeannette M. 2019. “The Data Life Cycle.” Harvard Data Science Review.
  • Wright, George, George Cairns, Frances A. O’Brien, and Paul Goodwin. 2019. “Scenario Analysis to Support Decision Making in Addressing Wicked Problems Pitfalls and Potential.” European Journal of Operational Research 278 (1): 3–19. https://doi.org/10.1016/j.ejor.2018.08.035.
  • Xu, Zongben, Niansheng Tang, Chen Xu, and Xueqi Cheng. 2021. “Data Science: Connotation, Methods, Technologies, and Development.” Data Science and Management 1 (1): 32–37.
  • Yan, Guilong. 2020. “The Impact of Artificial Intelligence on Hybrid Warfare.” Small Wars & Insurgencies 31 (4): 898–917. https://doi.org/10.1080/09592318.2019.1682908.
  • Yarhi-Milo, Keren. 2013. “In the Eye of the Beholder: How Leaders and Intelligence Communities Assess the Intentions of Adversaries.” International Security 38 (1): 7–51. https://doi.org/10.1162/ISEC_a_00128.
  • Yearsley, James M., and Jerome R. Busemeyer. 2016. “Quantum Cognition and Decision Theory: A Tutorial.” Journal of Mathematical Psychology 74: 99–116. https://doi.org/10.1016/j.jmp.2015.11.005.
  • You, Shixun, Ming Diao, Lipeng Gao, Fulong Zhang, and Huan Wang. 2020. “Target Tracking Strategy Using Deep Deterministic Policy Gradient.” Applied Soft Computing Journal 95. https://doi.org/10.1016/j.asoc.2020.106490.
  • Yuan, Hua, Jie Zheng, Qiongwei Ye, Yu Qian, and Yan Zhang. 2021. “Improving Fake News Detection with Domain-Adversarial and Graph-Attention Neural Network.” Decision Support Systems 151: 113633. https://doi.org/10.1016/j.dss.2021.113633.
  • Zeleny, Milan. 2011. “Multiple Criteria Decision Making (MCDM): From Paradigm Lost to Paradigm Regained?” Journal of Multi-Criteria Decision Analysis 18 (1-2): 77–89. https://doi.org/10.1002/mcda.473.
  • Zhdanov, Dmitry, Sudip Bhattacharjee, and Mikhail A. Bragin. 2022. “Incorporating FAT and Privacy Aware AI Modeling Approaches Into Business Decision Making Frameworks.” Decision Support Systems 155. https://doi.org/10.1016/j.dss.2021.113715.