Reading List

Research on human-AI collaboration, ensembles, delegation, and complementarity

• [1]1 + 1 > 2? Information, Humans, and Machines
  Lu, T., & Zhang, Y.
  Information Systems Research (2024)
  🔗 View
  Synergistic effects of combining human and machine information processing
• [2]A comprehensive survey on transfer learning
  Zhuang, F., Qi, Z., Duan, K., Xi, D., Zhu, Y., Zhu, H., Xiong, H., & He, Q.
  Proceedings of the IEEE (2020)
  🔗 View
  Comprehensive survey on transfer learning
• [3]A new multiple decisions fusion rule for targets detection in multiple sensors distributed detection systems with data fusion
  Aziz, A. M.
  Information Fusion (2014)
  🔗 View
  Multiple decisions fusion rule for distributed detection systems
• [4]AI-enhanced collective intelligence
  Cui, H., & Yasseri, T.
  Patterns (2024)
  🔗 View
  AI enhancement of collective intelligence
• [5]AI-teaming: Redefining collaboration in the digital era
  Schmutz, J. B., Outland, N., Kerstan, S., Georganta, E., & Ulfert, A.-S.
  Current Opinion in Psychology (2024)
  🔗 View
  Review on AI-teaming and collaboration in digital era
• [6]Algorithm Aversion: People Erroneously Avoid Algorithms After Seeing Them Err
  Dietvorst, B. J., Simmons, J. P., & Massey, C.
  Journal of Experimental Psychology: General (2015)
  🔗 View
  Foundational work on algorithm aversion
• [7]An alliance of humans and machines for machine learning: Hybrid intelligent systems and their design principles
  Ostheimer, J., Chowdhury, S., & Iqbal, S.
  Technology in Society (2021)
  🔗 View
  Hybrid intelligent systems design principles
• [8]An integrative perspective on algorithm aversion and appreciation in decision-making
  Jussupow, E., Benbasat, I., & Heinzl, A.
  MIS Quarterly (2024)
  🔗 View
  Integrative view on algorithm aversion and appreciation
• [9]Artificial Intelligence and Management: The Automation–Augmentation Paradox
  Raisch, S., & Krakowski, S.
  Academy of Management Review (2021)
  🔗 View
  Automation-augmentation paradox in AI and management
• [10]Artificial intelligence as augmenting automation: Implications for employment
  Tschang, F. T., & Almirall, E.
  Academy of Management Perspectives (2021)
  🔗 View
  AI as augmenting automation and employment implications
• [11]Bayesian modeling of human–AI complementarity
  Steyvers, M., Tejeda, H., Kerrigan, G., & Smyth, P.
  Proceedings of the National Academy of Sciences (2022)
  🔗 View
  Bayesian approach to modeling human-AI complementarity
• [12]Beware explanations from AI in health care
  Babic, B., Gerke, S., Evgeniou, T., & Cohen, I. G.
  Science (2021)
  🔗 View
  Critical perspective on AI explanations in healthcare
• [13]ChatGPT for textual analysis? How to use generative LLMs in accounting research
  De Kok, T.
  Management Science (2025)
  🔗 View
  Using generative LLMs in accounting research
• [14]Cognitive Challenges in Human–Artificial Intelligence Collaboration: Investigating the Path Toward Productive Delegation
  Fügener, A., Grahl, J., Gupta, A., & Ketter, W.
  Information Systems Research (2022)
  🔗 View
  Cognitive challenges in human-AI collaboration and productive delegation
• [15]Complementarity in Human-AI Collaboration: Concept, Sources, and Evidence
  Hemmer, P., Schemmer, M., Kühl, N., Vössing, M., & Satzger, G.
  arXiv (2024)
  🔗 View
  Conceptual framework on complementarity in human-AI collaboration
• [16]Coordinating Human and Machine Learning for Effective Organization Learning
  Sturm, T., Gerlacha, J., Pumplun, L., Mesbah, N., Peters, F., Tauchert, C., Nan, N., & Buxmann, P.
  MIS Quarterly (2021)
  🔗 View
  Coordinating human and machine learning for organizational learning
• [17]Deep learning
  LeCun, Y., Bengio, Y., & Hinton, G.
  Nature (2015)
  🔗 View
  Foundational review on deep learning
• [18]Design of decision-making organizations
  Christensen, M., & Knudsen, T.
  Management Science (2010)
  🔗 View
  Organizational design for decision-making
• [19]Design principles for artificial intelligence-augmented decision making: An action design research study
  Herath Pathirannehelage, S., Shrestha, Y. R., & Von Krogh, G.
  European Journal of Information Systems (2025)
  🔗 View
  Design principles for AI-augmented decision making
• [20]Designing human-AI collaboration: A sufficient-statistic approach
  Agarwal, N., Moehring, A., & Wolitzky, A.
  
  🔗 View
  Sufficient-statistic approach to designing human-AI collaboration
• [21]Disparate interactions: An algorithm-in-the-loop analysis of fairness in risk assessments
  Green, B., & Chen, Y.
  Proceedings of the Conference on Fairness, Accountability, and Transparency (2019)
  🔗 View
  Algorithm-in-the-loop analysis of fairness in risk assessments
• [22]Does machine translation affect international trade? Evidence from a large digital platform
  Brynjolfsson, E., Hui, X., & Liu, M.
  Management Science (2019)
  🔗 View
  Machine translation impact on international trade
• [23]Does the whole exceed its parts? The effect of AI explanations on complementary team performance
  Bansal, G., Wu, T., Zhou, J., Fok, R., Nushi, B., Kamar, E., Ribeiro, M. T., & Weld, D. S.
  arXiv (2021)
  🔗 View
  Effect of AI explanations on complementary team performance
• [24]Eliciting human judgment for prediction algorithms
  Ibrahim, R., Kim, S.-H., & Tong, J.
  Management Science (2021)
  🔗 View
  Eliciting human judgment to improve prediction algorithms
• [25]Emotional attachment, performance, and viability in teams collaborating with embodied physical action (EPA) robots
  You, S., Robert, L.
  Journal of the Association for Information Systems (2018)
  🔗 View
  Emotional attachment and performance in human-robot teams
• [26]Ensemble approaches for regression: A survey
  Mendes-Moreira, J., Soares, C., Jorge, A. M., & Sousa, J. F. D.
  ACM Computing Surveys (2012)
  🔗 View
  Survey on ensemble methods for regression
• [27]Even good bots fight: The case of wikipedia
  Tsvetkova, M., García-Gavilanes, R., Floridi, L., & Yasseri, T.
  PLOS ONE (2017)
  🔗 View
  Bot interactions and conflicts in Wikipedia
• [28]Explaining Data-Driven Decisions made by AI Systems: The Counterfactual Approach
  Fernández-Loría, C., Provost, F., & Han, X.
  MIS Quarterly (2022)
  🔗 View
  Counterfactual approach to explaining AI-driven decisions
• [29]Fitting feature-dependent markov chains
  Barratt, S., & Boyd, S.
  Journal of Global Optimization (2023)
  🔗 View
  
• [30]Friend or foe? Teaming between artificial intelligence and workers with variation in experience
  Wang, W., Gao, G. (Gordon), & Agarwal, R.
  Management Science (2023)
  🔗 View
  AI-human teaming with varying worker experience
• [31]From Man vs. Machine to Man + Machine: The art and AI of stock analyses
  Cao, S., Jiang, W., Wang, J., & Yang, B.
  Journal of Financial Economics (2024)
  🔗 View
  Human-AI collaboration in stock analysis
• [32]GPT-4 assistance for improvement of physician performance on patient care tasks: A randomized controlled trial
  Goh, E., Gallo, R. J., Strong, E., Weng, Y., Kerman, H., Freed, J. A., Cool, J. A., Kanjee, Z., Lane, K. P., Parsons, A. S., Ahuja, N., Horvitz, E., Yang, D., Milstein, A., Olson, A. P. J., Hom, J., Chen, J. H., & Rodman, A.
  Nature Medicine (2025)
  🔗 View
  Randomized controlled trial on GPT-4 assistance for physician performance
• [33]Grandmaster level in StarCraft II using multi-agent reinforcement learning
  Vinyals, O., Babuschkin, I., Czarnecki, W. M., Mathieu, M., Dudzik, A., Chung, J., Choi, D. H., Powell, R., Ewalds, T., Georgiev, P., Oh, J., Horgan, D., Kroiss, M., Danihelka, I., Huang, A., Sifre, L., Cai, T., Agapiou, J. P., Jaderberg, M., … Silver, D.
  Nature (2019)
  🔗 View
  Multi-agent reinforcement learning in complex games
• [34]How many variables can humans process?
  Halford, G. S., Baker, R., McCredden, J. E., & Bain, J. D.
  Psychological Science (2005)
  🔗 View
  Human cognitive capacity for processing variables
• [35]Human decisions and machine predictions
  Kleinberg, J., Lakkaraju, H., Leskovec, J., Ludwig, J., & Mullainathan, S.
  Quarterly Journal of Economics (2017)
  🔗 View
  Comparison of human decisions and machine predictions
• [36]Human trust in artificial intelligence: Review of empirical research
  Glikson, E., & Woolley, A. W.
  Academy of Management Annals (2020)
  🔗 View
  Comprehensive review of trust in AI
• [37]Human-AI ensembles: When can they work?
  Choudhary, V., Marchetti, A., Shrestha, Y. R., & Puranam, P.
  Journal of Management (2025)
  🔗 View
  Key paper on when human-AI ensembles can be effective
• [38]Human-robot interactions in investment decisions
  Bianchi, M., & Brière, M.
  Management Science (2024)
  🔗 View
  Human-robot interactions in investment context
• [39]Humans and technology: Forms of conjoined agency in organizations
  Murray, A., Rhymer, J., & Sirmon, D. G.
  Academy of Management Review (2021)
  🔗 View
  Conjoined agency forms between humans and technology
• [40]Hybrid social learning in human-algorithm cultural transmission
  Brinkmann, L., Gezerli, D., Kleist, K. V., Müller, T. F., Rahwan, I., & Pescetelli, N.
  
  🔗 View
  Hybrid social learning in cultural transmission
• [41]Incentives, framing, and reliance on algorithmic advice: An experimental study
  Greiner, B., Grünwald, P., Lindner, T., Lintner, G., & Wiernsperger, M.
  Management Science (2025)
  🔗 View
  Experimental study on incentives and framing effects on algorithmic advice reliance
• [42]Losing touch: An embodiment perspective on coordination in robotic surgery
  Sergeeva, A. V., Faraj, S., & Huysman, M.
  Organization Science (2020)
  🔗 View
  Embodiment perspective on coordination in robotic surgery
• [43]Machine learning and human capital complementarities: Experimental evidence on bias mitigation
  Choudhury, P., Starr, E., & Agarwal, R.
  Strategic Management Journal (2020)
  🔗 View
  ML and human capital complementarities in bias mitigation
• [44]My advisor, her AI, and me: Evidence from a field experiment on human–AI collaboration and investment decisions
  Yang, C. (Liu), Bauer, K., Li, X., & Hinz, O.
  Management Science (2025)
  🔗 View
  Field experiment on human-AI collaboration in investment decisions
• [45]Next-Generation Digital Platforms: Toward Human–AI Hybrids
  Rai, A.
  
  🔗 View
  Human-AI hybrid digital platforms
• [46]Overcoming Algorithm Aversion: People Will Use Imperfect Algorithms If They Can (Even Slightly) Modify Them
  Dietvorst, B. J., Simmons, J. P., & Massey, C.
  Management Science (2018)
  🔗 View
  How allowing modifications can overcome algorithm aversion
• [47]Pathways for Design Research on Artificial Intelligence
  Abbasi, A., Parsons, J., Pant, G., Sheng, O. R. L., & Sarker, S.
  Information Systems Research (2024)
  🔗 View
  Design research pathways for AI
• [48]Performance benefits of reciprocal vicarious learning in teams
  Myers, C. G.
  Academy of Management Journal (2021)
  🔗 View
  Vicarious learning in team contexts
• [49]Robotic process automation
  Van Der Aalst, W. M. P., Bichler, M., & Heinzl, A.
  Business & Information Systems Engineering (2018)
  🔗 View
  Robotic process automation in business contexts
• [50]Scaling up analogical innovation with crowds and AI
  Kittur, A., Yu, L., Hope, T., Chan, J., Lifshitz-Assaf, H., Gilon, K., Ng, F., Kraut, R. E., & Shahaf, D.
  Proceedings of the National Academy of Sciences (2019)
  🔗 View
  Analogical innovation scaling with crowds and AI
• [51]Substituting human decision-making with machine learning: Implications for organizational learning
  Balasubramanian, N., Ye, Y., & Xu, M.
  Academy of Management Review (2022)
  🔗 View
  Implications of ML substitution for organizational learning
• [52]The Next Generation of Research on IS Use: A Theoretical Framework of Delegation to and from Agentic IS Artifacts
  Baird, A., & Maruping, L. M.
  MIS Quarterly (2021)
  🔗 View
  Theoretical framework of delegation to and from agentic IS artifacts
• [53]The Unknowability of Autonomous Tools and the Liminal Experience of Their Use
  Zhang, Z., Yoo, Y., Lyytinen, K., & Lindberg, A.
  Information Systems Research (2021)
  🔗 View
  Unknowability and liminal experience of autonomous tools
• [54]The consequences of generative AI for online knowledge communities
  Burtch, G., Lee, D., & Chen, Z.
  Scientific Reports (2024)
  🔗 View
  Generative AI impact on online knowledge communities
• [55]The crowd classification problem: Social dynamics of binary-choice accuracy
  Becker, J. A., Guilbeault, D., & Smith, E. B.
  Management Science (2022)
  🔗 View
  Social dynamics of crowd classification and binary-choice accuracy
• [56]The crowdless future? Generative AI and creative problem-solving
  Boussioux, L., Lane, J. N., Zhang, M., Jacimovic, V., & Lakhani, K. R.
  Organization Science (2024)
  🔗 View
  Generative AI impact on crowd-based creative problem-solving
• [57]The value of information in human-AI decision-making
  Guo, Z., Wu, Y., Hartline, J., & Hullman, J.
  arXiv (2025)
  🔗 View
  Value of information in human-AI decision-making contexts
• [58]Theory Is All You Need: AI, Human Cognition, and Causal Reasoning
  Felin, T., & Holweg, M.
  Strategy Science (2024)
  🔗 View
  AI, human cognition, and causal reasoning in strategic contexts
• [59]To trust or not to trust a classifier
  Jiang, H., Kim, B., Guan, M. Y., & Gupta, M.
  arXiv (2018)
  🔗 View
  Trust in classifier systems
• [60]Trust in automation: Integrating empirical evidence on factors that influence trust
  Hoff, K. A., & Bashir, M.
  Human Factors: The Journal of the Human Factors and Ergonomics Society (2015)
  🔗 View
  Comprehensive review of factors influencing trust in automation
• [61]Two-stage learning to defer with multiple experts
  Mao, A., Mohri, C., Mohri, M., & Zhong, Y.
  
  🔗 View
  Learning to defer framework with multiple experts
• [62]Understanding team knowledge production: The interrelated roles of technology and expertise
  Teodoridis, F.
  Management Science (2018)
  🔗 View
  Technology and expertise roles in team knowledge production
• [63]Using Augmentation-Based AI Tool at Work: A Daily Investigation of Learning-Based Benefit and Challenge
  Shao, Y., Huang, C., Song, Y., Wang, M., Song, Y. H., & Shao, R.
  Journal of Management (2024)
  🔗 View
  Daily investigation of AI augmentation benefits and challenges at work
• [64]Vicarious learning without knowledge differentials
  Park, S., & Puranam, P.
  Management Science (2024)
  🔗 View
  Vicarious learning mechanisms in organizational contexts
• [65]What can machine learning do? Workforce implications
  Brynjolfsson, E., & Mitchell, T.
  Science (2017)
  🔗 View
  Workforce implications of machine learning capabilities
• [66]When and how artificial intelligence augments employee creativity
  Jia, N., Luo, X., Fang, Z., & Liao, C.
  Academy of Management Journal (2024)
  🔗 View
  AI augmentation of human creativity
• [67]When combinations of humans and AI are useful: A systematic review and meta-analysis
  Vaccaro, M., Almaatouq, A., & Malone, T.
  Nature Human Behaviour (2024)
  🔗 View
  Systematic review and meta-analysis of human-AI combinations
• [68]Why deep-learning AIs are so easy to fool
  Heaven, D.
  Nature (2019)
  🔗 View
  Vulnerabilities of deep learning systems
• [69]Will humans-in-the-loop become borgs? Merits and pitfalls of working with AI
  Fügener, A., Grahl, J., Gupta, A., & Ketter, W.
  MIS Quarterly (2021)
  🔗 View
  Humans-in-the-loop and AI collaboration merits and pitfalls

Comprehensive surveys on large language models and their applications

• [1]A Brief Overview of ChatGPT: The History, Status Quo and Potential Future Development
  Wu, T., He, S., Liu, J., Sun, S., Liu, K., Han, Q.-L., & Tang, Y.
  IEEE/CAA Journal of Automatica Sinica (2023)
  🔗 View
  Overview of ChatGPT history and development
• [2]A survey of large language models
  Zhao, W. X., Zhou, K., Li, J., Tang, T., Wang, X., Hou, Y., Min, Y., Zhang, B., Zhang, J., Dong, Z., Du, Y., Yang, C., Chen, Y., Chen, Z., Jiang, J., Ren, R., Li, Y., Tang, X., Liu, Z., … Wen, J.-R.
  arXiv (2024)
  🔗 View
  Comprehensive survey of large language models
• [3]AI–human hybrids for marketing research: Leveraging large language models (LLMs) as collaborators
  Arora, N., Chakraborty, I., & Nishimura, Y.
  Journal of Marketing (2025)
  🔗 View
  LLMs as collaborators in marketing research
• [4]Advancing Social Intelligence in AI Agents: Technical Challenges and Open Questions
  Mathur, L., Liang, P. P., & Morency, L.-P.
  arXiv (2024)
  🔗 View
  Social intelligence in AI agents
• [5]Agent AI: Surveying the Horizons of Multimodal Interaction
  Durante, Z., Huang, Q., Wake, N., Gong, R., Park, J. S., Sarkar, B., Taori, R., Noda, Y., Terzopoulos, D., Choi, Y., Ikeuchi, K., Vo, H., Fei-Fei, L., & Gao, J.
  arXiv (2024)
  🔗 View
  Survey on multimodal interaction in agent AI
• [6]Automated Design of Agentic Systems
  Hu, S., Lu, C., & Clune, J.
  arXiv (2024)
  🔗 View
  Automated design of agentic systems
• [7]ChatGPT for textual analysis? How to use generative LLMs in accounting research
  De Kok, T.
  Management Science (2025)
  🔗 View
  Using generative LLMs in accounting research
• [8]ChatGPT: Five priorities for research
  Van Dis, E. A. M., Bollen, J., Zuidema, W., Van Rooij, R., & Bockting, C. L.
  Nature (2023)
  🔗 View
  Research priorities for ChatGPT
• [9]General social agents
  Manning, B. S., & Horton, J. J.
  arXiv (2025)
  🔗 View
  General social agents framework
• [10]Generative agent simulations of 1,000 people
  Park, J. S., Zou, C. Q., Shaw, A., Hill, B. M., Cai, C., Morris, M. R., Willer, R., Liang, P., & Bernstein, M. S.
  
  🔗 View
  Large-scale generative agent simulations
• [11]How Nature readers are using ChatGPT
  Owens, B.
  Nature (2023)
  🔗 View
  ChatGPT usage by Nature readers
• [12]LLM social simulations are a promising research method
  Anthis, J. R., Liu, R., Richardson, S. M., Kozlowski, A. C., Koch, B., Evans, J., Brynjolfsson, E., & Bernstein, M.
  arXiv (2025)
  🔗 View
  LLM social simulations as research method
• [13]Large Language Model based Multi-Agents: A Survey of Progress and Challenges
  Guo, T., Chen, X., Wang, Y., Chang, R., Pei, S., Chawla, N. V., Wiest, O., & Zhang, X.
  arXiv (2024)
  🔗 View
  Survey on LLM-based multi-agents
• [14]Large language models: A survey
  Minaee, S., Mikolov, T., Nikzad, N., Chenaghlu, M., Socher, R., Amatriain, X., & Gao, J.
  arXiv (2024)
  🔗 View
  Comprehensive survey on large language models
• [15]Multi-agents are social groups: Investigating social influence of multiple agents in human-agent interactions
  Song, T., Tan, Y., Zhu, Z., Feng, Y., & Lee, Y.-C.
  arXiv (2024)
  🔗 View
  Multi-agent social influence in human-agent interactions
• [16]Predicting Results of Social Science Experiments Using Large Language Models
  Hewitt, L., Ashokkumar, A., Ghezae, I., & Willer, R.
  
  🔗 View
  LLM predictions in social science experiments
• [17]Rise of Machine Agency: A Framework for Studying the Psychology of Human–AI Interaction (HAII)
  Sundar, S. S.
  Journal of Computer-Mediated Communication (2020)
  🔗 View
  Framework for human-AI interaction psychology
• [18]The Rise and Potential of Large Language Model Based Agents: A Survey
  Xi, Z., Chen, W., Guo, X., He, W., Ding, Y., Hong, B., Zhang, M., Wang, J., Jin, S., Zhou, E., Zheng, R., Fan, X., Wang, X., Xiong, L., Zhou, Y., Wang, W., Jiang, C., Zou, Y., Liu, X., … Gui, T.
  arXiv (2023)
  🔗 View
  Survey on LLM-based agents and their potential

Research on corporate finance, tournament incentives, and firm policies

• [1]A reexamination of corporate governance and equity prices
  Johnson, S. A., Moorman, T. C., & Sorescu, S.
  Review of Financial Studies (2009)
  🔗 View
  Corporate governance and equity prices relationship
• [2]A survey of corporate governance
  Shleifer, A., & Vishny, R. W.
  The Journal of Finance (1997)
  🔗 View
  Comprehensive survey of corporate governance
• [3]A test of the free cash flow hypothesis
  Lang, L. H. P., Stulz, RenéM., & Walkling, R. A.
  Journal of Financial Economics (1991)
  🔗 View
  Empirical test of free cash flow hypothesis
• [4]A theory of board control and size
  Harris, M., & Raviv, A.
  Review of Financial Studies (2008)
  🔗 View
  Theoretical framework for board control and size
• [5]A theory of friendly boards
  Adams, R. B., & Ferreira, D.
  The Journal of Finance (2007)
  🔗 View
  Theory of friendly board structures
• [6]A theory of optimal capital structure
  Scott, J. H.
  The Bell Journal of Economics (1976)
  🔗 View
  Optimal capital structure theory
• [7]Additional evidence on equity ownership and corporate value
  McConnell, J. J., & Servaes, H.
  Journal of Financial Economics (1990)
  🔗 View
  Equity ownership and corporate value relationship
• [8]An incomplete contracts theory of information, technology and organization
  Brynjolfsson, E.
  
  🔗 View
  Incomplete contracts theory in technology and organization
• [9]Are CEOs rewarded for luck? The ones without principals are
  Bertrand, M., & Mullainathan, S.
  The Quarterly Journal of Economics (2001)
  🔗 View
  CEO compensation and luck vs performance
• [10]Are busy boards detrimental?
  Field, L., Lowry, M., & Mkrtchyan, A.
  Journal of Financial Economics (2013)
  🔗 View
  Impact of busy boards on firm performance
• [11]Artificial intelligence and the modern productivity paradox: A clash of expectations and statistics
  Brynjolfsson, E., Rock, D., & Syverson, C.
  National Bureau of Economic Research (2017)
  🔗 View
  AI and productivity paradox analysis
• [12]Artificial intelligence, firm growth, and product innovation
  Babina, T., Fedyk, A., He, A., & Hodson, J.
  Journal of Financial Economics (2024)
  🔗 View
  AI impact on firm growth and product innovation
• [13]Asymmetric information, corporate finance, and investment
  Hubbard, R. G. (Ed.)
  University of Chicago Press (1990)
  🔗 View
  Edited volume on asymmetric information in finance
• [14]Automation and new tasks: How technology displaces and reinstates labor
  Acemoglu, D., & Restrepo, P.
  Journal of Economic Perspectives (2019)
  🔗 View
  Technology automation and labor displacement
• [15]Board classification and managerial entrenchment: Evidence from the market for corporate control
  Bates, T. W., Becher, D. A., & Lemmon, M. L.
  
  🔗 View
  Board classification and managerial entrenchment
• [16]Board structure mandates: Consequences for director location and financial reporting
  Alam, Z. S., Chen, M. A., Ciccotello, C. S., & Ryan, H. E.
  Management Science (2018)
  🔗 View
  Board structure mandates and their consequences
• [17]Boards of directors as an endogenously determined institution: A survey of the economic literature
  Hermalin, B. E., & Weisbach, M. S.
  
  🔗 View
  Survey of economic literature on boards
• [18]Boards: Does one size fit all?
  Coles, J. L., Daniel, N. D., & Naveen, L.
  
  🔗 View
  Optimal board size across different firms
• [19]CEO involvement in the selection of new board members: An empirical analysis
  Shivdasani, A., & Yermack, D.
  The Journal of Finance (1999)
  🔗 View
  CEO influence on board member selection
• [20]CEO tournaments: A cross-country analysis of causes, cultural influences, and consequences
  Burns, N., Minnick, K., & Starks, L.
  Journal of Financial and Quantitative Analysis (2017)
  🔗 View
  Cross-country analysis of CEO tournaments
• [21]CEO turnover and outside succession a cross-sectional analysis
  Parrino, R.
  Journal of Financial Economics (1997)
  🔗 View
  CEO turnover and outside succession patterns
• [22]CEO turnover and relative performance evaluation
  Jenter, D., & Kanaan, F.
  
  🔗 View
  CEO turnover and relative performance evaluation
• [23]CEO-board dynamics
  Graham, J. R., Kim, H., & Leary, M.
  Journal of Financial Economics (2020)
  🔗 View
  CEO and board interaction dynamics
• [24]CEOs' outside employment opportunities and the lack of relative performance evaluation in compensation contracts
  Rajgopal, S., Shevlin, T., & Zamora, V.
  The Journal of Finance (2006)
  🔗 View
  CEO outside opportunities and relative performance evaluation
• [25]Companies should maximize shareholder welfare not market value
  Hart, O., & Zingales, L.
  Journal of Law, Finance, and Accounting (2017)
  🔗 View
  Shareholder welfare vs market value maximization
• [26]Compensation goals and firm performance
  Bennett, B., Bettis, J. C., Gopalan, R., & Milbourn, T.
  Journal of Financial Economics (2017)
  🔗 View
  Compensation goals and firm performance relationship
• [27]Corporate boards: New thinking
  Adams, R. B.
  
  🔗 View
  New perspectives on corporate boards
• [28]Corporate financing and investment decisions when firms have information that investors do not have
  Myers, S. C.
  
  🔗 View
  Information asymmetry in financing and investment
• [29]Corporate governance and acquirer returns
  Masulis, R. W., Wang, C., & Xie, F.
  
  🔗 View
  Corporate governance impact on acquirer returns
• [30]Corporate governance under asymmetric information: Theory and evidence
  Chen, C.-W., & Liu, V. W.
  Economic Modelling (2013)
  🔗 View
  Corporate governance with asymmetric information
• [31]Corporate income taxes and the cost of capital: A correction
  Modigliani, F., & Miller, M. H.
  The American Economic Review (1963)
  🔗 View
  MM theorem correction on corporate taxes
• [32]Corporate tournaments
  Bognanno, M. L.
  Journal of Labor Economics (2001)
  🔗 View
  Foundational work on corporate tournament theory
• [33]Debt and taxes
  Miller, M. H.
  The Journal of Finance (1977)
  🔗 View
  Classic work on debt and taxation
• [34]Debt vs. Equity and Asymmetric Information: A Review
  Klein, L. S., O'Brien, T. J., & Peters, S. R.
  Financial Review (2002)
  🔗 View
  Review of debt vs equity under asymmetric information
• [35]Determinants of board size and composition: A theory of corporate boards
  Raheja, C. G.
  Journal of Financial and Quantitative Analysis (2005)
  🔗 View
  Theory of board size and composition determinants
• [36]Displacement or complementarity? The labor market impact of generative AI
  Chen, W. X., Srinivasan, S., & Zakerinia, S.
  
  🔗 View
  Generative AI impact on labor markets
• [37]Do bad bidders become good targets?
  Mitchell, M. L., & Lehn, K.
  
  🔗 View
  Market for corporate control dynamics
• [38]Do corporations award CEO stock options effectively?
  Yermack, D.
  Journal of Financial Economics (1995)
  🔗 View
  Effectiveness of CEO stock option awards
• [39]Do independent directors enhance target shareholder wealth during tender offers?
  Cotter, J. F., Shivdasani, A., & Zenner, M.
  Journal of Financial Economics (1997)
  🔗 View
  Independent directors and shareholder wealth in tender offers
• [40]Does public financial news resolve asymmetric information?
  Tetlock, P. C.
  The Review of Financial Studies (2010)
  🔗 View
  Public financial news and information asymmetry
• [41]Does the location of directors matter? Information acquisition and board decisions
  Alam, Z. S., Chen, M. A., Ciccotello, C. S., & Ryan, H. E.
  Journal of Financial and Quantitative Analysis (2014)
  🔗 View
  Director location and board decision-making
• [42]Efficient Capital Markets: A Review of Theory and Empirical Work
  Fama, E. F.
  
  🔗 View
  Classic review of efficient market hypothesis
• [43]Efficient Capital Markets: II
  Fama, E. F.
  
  🔗 View
  Follow-up review on market efficiency
• [44]Endogenously chosen boards of directors and their monitoring of the CEO
  Hermalin, B. E., & Weisbach, M. S.
  
  🔗 View
  Endogenous board selection and CEO monitoring
• [45]Enjoying the quiet life? Corporate governance and managerial preferences
  Bertrand, M., & Mullainathan, S.
  Journal of Political Economy (2003)
  🔗 View
  Corporate governance and managerial preferences
• [46]Estimating the value of employee stock option portfolios and their sensitivities to price and volatility
  Guay, W.
  
  🔗 View
  Valuation of employee stock options
• [47]Executive compensation as an agency problem
  Bebchuk, L. A., & Fried, J. M.
  
  🔗 View
  Agency problem perspective on executive compensation
• [48]Extreme governance: An analysis of dual-class firms in the United States
  Gompers, P. A., Ishii, J., & Metrick, A.
  Review of Financial Studies (2010)
  🔗 View
  Analysis of dual-class firm governance structures
• [49]Financial advisors and shareholder wealth gains in corporate takeovers
  Kale, J. R., Kini, O., & Ryan, H. E.
  The Journal of Financial and Quantitative Analysis (2003)
  🔗 View
  Financial advisors' role in corporate takeovers
• [50]Financial theory and corporate policy
  Copeland, T. E., Weston, J. F., & Shastri, K.
  Addison-Wesley (2000)
  🔗 View
  Textbook on financial theory and corporate policy
• [51]Handbook of corporate finance: Empirical corporate finance
  Eckbo, B. E. (Ed.)
  Elsevier/North-Holland (2007)
  🔗 View
  Handbook on empirical corporate finance
• [52]How do family ownership, control and management affect firm value?
  Villalonga, B., & Amit, R.
  
  🔗 View
  Family ownership, control, and firm value
• [53]How has CEO turnover changed?
  Kaplan, S. N., & Minton, B. A.
  International Review of Finance (2012)
  🔗 View
  Evolution of CEO turnover patterns
• [54]How valuable are independent directors? Evidence from external distractions
  Masulis, R. W., & Zhang, E. J.
  Journal of Financial Economics (2019)
  🔗 View
  Value of independent directors
• [55]Incomplete contracts and control
  Hart, O.
  American Economic Review (2017)
  🔗 View
  Incomplete contracts and control rights
• [56]Indexed executive stock options
  Johnson, S. A., & Tian, Y. S.
  
  🔗 View
  Indexed executive stock option plans
• [57]Individual and corporate social responsibility
  Bénabou, R., & Tirole, J.
  Economica (2010)
  🔗 View
  Individual and corporate social responsibility
• [58]Industry tournament incentives
  Coles, J. L.
  
  🔗 View
  Industry-level tournament incentives
• [59]Industry tournament incentives and the product-market benefits of corporate liquidity
  Huang, J., Jain, B. A., & Kini, O.
  Journal of Financial and Quantitative Analysis (2019)
  🔗 View
  Tournament incentives and corporate liquidity benefits
• [60]Information and Competitive Price Systems
  Grossman, S. J., & Stiglitz, J. E.
  
  🔗 View
  Information and competitive pricing
• [61]Information asymmetry, leverage and firm value: Do crisis and growth matter?
  Fosu, S., Danso, A., Ahmad, W., & Coffie, W.
  International Review of Financial Analysis (2016)
  🔗 View
  Information asymmetry, leverage, and firm value
• [62]Inside the family firm: The role of families in succession decisions and performance
  Bennedsen, M., Nielsen, K. M., Lez, F. P. R.-G., & Wolfenzon, D.
  
  🔗 View
  Family firms and succession decisions
• [63]Investment decision under uncertainty: Choice-theoretic approaches
  Hirshleifer, J.
  The Quarterly Journal of Economics (1965)
  🔗 View
  Investment decisions under uncertainty
• [64]Investment in human capital: A theoretical analysis
  Becker, G. S.
  Journal of Political Economy (1962)
  🔗 View
  Classic theoretical work on human capital investment
• [65]Management ownership and market valuation
  Morck, R., Shleifer, A., & Vishny, R. W.
  Journal of Financial Economics (1988)
  🔗 View
  Management ownership effects on market valuation
• [66]Managerial incentives and corporate fraud: The sources of incentives matter
  Johnson, S. A., Ryan, H. E., & Tian, Y. S.
  
  🔗 View
  Managerial incentives and corporate fraud
• [67]Managerial incentives and risk-taking
  Coles, J., Daniel, N., & Naveen, L.
  Journal of Financial Economics (2006)
  🔗 View
  Managerial incentives and risk-taking behavior
• [68]Market efficiency, long-term returns, and behavioral finance
  Fama, E. F.
  Journal of Financial Economics (1998)
  🔗 View
  Market efficiency and behavioral finance
• [69]Markup pricing in mergers and acquisitions
  Schwert, G. W.
  
  🔗 View
  Markup pricing in M&A transactions
• [70]Momentum and Reversal: Does What Goes Up Always Come Down?
  Conrad, J., & Yavuz, M. D.
  Review of Finance (2017)
  🔗 View
  Momentum and reversal patterns in stock markets
• [71]Moral hazard and observability
  Holmstrom, B.
  The Bell Journal of Economics (1979)
  🔗 View
  Classic work on moral hazard and observability
• [72]Multitask principal-agent analyses: Incentive contracts, asset ownership, and job design
  Holmstrom, B., & Milgrom, P.
  Journal of Law, Economics, & Organization (1991)
  🔗 View
  Multitask principal-agent theory
• [73]On the theory of the firm in an economy with incomplete markets
  Ekern, S., & Wilson, R.
  The Bell Journal of Economics and Management Science (1974)
  🔗 View
  Firm theory with incomplete markets
• [74]Optimal capital structure under corporate and personal taxation
  DeAngelo, H., & Masulis, R. W.
  Journal of Financial Economics (1980)
  🔗 View
  Optimal capital structure with taxation
• [75]Outside directors and the adoption of poison pills
  Brickley, J. A., Coles, J. L., & Terry, R. L.
  
  🔗 View
  Outside directors and poison pill adoption
• [76]Performance pay and top-management incentives
  Jensen, M. C.
  
  🔗 View
  Performance pay and top management incentives
• [77]Performance-induced CEO turnover
  Jenter, D., & Lewellen, K.
  The Review of Financial Studies (2021)
  🔗 View
  Performance-induced CEO turnover analysis
• [78]Performance-vesting provisions in executive compensation
  Bettis, J. C., Bizjak, J., Coles, J. L., & Kalpathy, S.
  Journal of Accounting and Economics (2018)
  🔗 View
  Performance-vesting provisions in compensation
• [79]Poison or placebo? Evidence on the deterrence and wealth effects of modern antitakeover measures
  Comment, R., & Schwert, G. W.
  Journal of Financial Economics (1995)
  🔗 View
  Antitakeover measures effectiveness
• [80]Power in a theory of the firm
  Rajan, R. G., & Zingales, L.
  
  🔗 View
  Power dynamics in firm theory
• [81]Product market synergies and competition in mergers and acquisitions: A text-based analysis
  Hoberg, G., & Phillips, G.
  Review of Financial Studies (2010)
  🔗 View
  Text-based analysis of M&A synergies and competition
• [82]Property rights and the nature of the firm
  Hart, O., & Moore, J.
  Journal of Political Economy (1990)
  🔗 View
  Classic work on property rights and firm theory
• [83]Rank-Order Tournaments as Optimum Labor Contracts
  Lazear, E. P., & Rosen, S.
  
  🔗 View
  Classic theoretical work on rank-order tournaments as optimal contracts
• [84]Rank‐order tournaments and incentive alignment: The effect on firm performance
  Kale, J. R., Reis, E., & Venkateswaran, A.
  The Journal of Finance (2009)
  🔗 View
  Rank-order tournaments and firm performance
• [85]Review on Efficiency and Anomalies in Stock Markets
  Woo, K.-Y., Mai, C., McAleer, M., & Wong, W.-K.
  Economies (2020)
  🔗 View
  Review of market efficiency and anomalies
• [86]Stock Price Movements in Response to Stock Issues under Asymmetric Information
  Krasker, W. S.
  
  🔗 View
  Stock price reactions to stock issues
• [87]Stock-based incentive compensation and investment behavior
  Bizjak, J. M., Brickley, J. A., & Coles, J. L.
  Journal of Accounting and Economics (1993)
  🔗 View
  Stock-based incentives and investment behavior
• [88]Takeover bids, the free-rider problem, and the theory of the corporation
  Grossman, S. J., & Hart, O. D.
  The Bell Journal of Economics (1980)
  🔗 View
  Classic work on takeover bids and free-rider problem
• [89]Takeover defenses of IPO firms
  Field, L. C., & Karpoff, J. M.
  The Journal of Finance (2002)
  🔗 View
  Takeover defenses in IPO firms
• [90]Tasks, automation, and the rise in U.S. wage inequality
  Acemoglu, D., & Restrepo, P.
  Econometrica (2022)
  🔗 View
  Automation impact on U.S. wage inequality
• [91]The Efficient Market Hypothesis and its Critics
  Malkiel, B. G.
  
  🔗 View
  Efficient market hypothesis and criticisms
• [92]The Market for 'Lemons': Quality Uncertainty and the Market Mechanism
  Akerlof, G. A.
  
  🔗 View
  Classic work on market for lemons and information asymmetry
• [93]The capital structure puzzle
  Myers, S. C.
  The Journal of Finance (1984)
  🔗 View
  Capital structure puzzle and pecking order theory
• [94]The cost of capital, corporation finance and the theory of investment
  Modigliani, F., & Miller, M. H.
  
  🔗 View
  Classic MM theorem on cost of capital
• [95]The costs of intense board monitoring
  Faleye, O., Hoitash, R., & Hoitash, U.
  Journal of Financial Economics (2011)
  🔗 View
  Costs associated with intense board monitoring
• [96]The determinants of board composition
  Hermalin, B. E., & Weisbach, M. S.
  Rand Journal of Economics (1988)
  🔗 View
  Determinants of board composition
• [97]The firm as a collection of assets
  Moore, J.
  European Economic Review (1992)
  🔗 View
  Firm theory as collection of assets
• [98]The hubris hypothesis of corporate takeovers
  Roll, R.
  The Journal of Business (1986)
  🔗 View
  Hubris hypothesis in corporate takeovers
• [99]The influence of firm- and manager-specific characteristics on the structure of executive compensation
  Ryan, H. E., & Wiggins, R. A.
  Journal of Corporate Finance (2001)
  🔗 View
  Firm and manager characteristics on compensation structure
• [100]The investment decision of the firm under uncertainty and the allocative efficiency of capital markets
  Nielsen, N. C.
  
  🔗 View
  Investment decisions under uncertainty
• [101]The investment opportunity set and corporate financing, dividend, and compensation policies
  Smith, C. W., & Watts, R. L.
  Journal of Financial Economics (1992)
  🔗 View
  Investment opportunity set and corporate policies
• [102]The modern industrial revolution, exit, and the failure of internal control systems
  Jensen, M. C.
  
  🔗 View
  Internal control systems and corporate governance
• [103]The other side of the trade‐off: The impact of risk on executive compensation
  Aggarwal, R. K., & Samwick, A. A.
  Journal of Political Economy (1999)
  🔗 View
  Risk impact on executive compensation
• [104]The oxford handbook of corporate governance
  Wright, M., Siegel, D. S., Keasey, K., & Filatotchev, I. (Eds.)
  Oxford University Press (2013)
  🔗 View
  Handbook on corporate governance
• [105]The power of incentives
  Lazear, E. P.
  
  🔗 View
  Theoretical work on the power of incentives
• [106]The role of boards of directors in corporate governance: A conceptual framework and survey
  Adams, R. B., Hermalin, B. E., & Weisbach, M. S.
  Journal of Economic Literature (2010)
  🔗 View
  Conceptual framework on boards in corporate governance
• [107]The role of proxy advisory firms: Evidence from a regression-discontinuity design
  Malenko, N., & Shen, Y.
  
  🔗 View
  Proxy advisory firms' role in corporate governance
• [108]The trouble with stock options
  Hall, B. J., & Murphy, K. J.
  
  🔗 View
  Issues with stock option compensation
• [109]The trust triangle: Laws, reputation, and culture in empirical finance research
  Dupont, Q., & Karpoff, J. M.
  Journal of Business Ethics (2020)
  🔗 View
  Trust triangle in finance research
• [110]The value and incentive effects of nontraditional executive stock option plans
  Johnson, S. A., & Tian, Y. S.
  
  🔗 View
  Nontraditional stock option plans
• [111]The vote is cast: The effect of corporate governance on shareholder value
  Cuñat, V., Gine, M., & Guadalupe, M.
  
  🔗 View
  Corporate governance effects on shareholder value
• [112]Tournament incentives, firm risk, and corporate policies
  Kini, O., & Williams, R.
  Journal of Financial Economics (2012)
  🔗 View
  Tournament incentives impact on firm risk and corporate policies
• [113]Understanding momentum and reversal
  Kelly, B. T., Moskowitz, T. J., & Pruitt, S.
  Journal of Financial Economics (2021)
  🔗 View
  Understanding momentum and reversal patterns
• [114]What Affects the Efficiency of a Market? Some Answers from the Laboratory
  Lundholm, R. J.
  
  🔗 View
  Market efficiency from experimental evidence
• [115]What determines the value of corporate votes?
  Zingales, L.
  The Quarterly Journal of Economics (1995)
  🔗 View
  Determinants of corporate voting rights value
• [116]What matters in corporate governance
  Bebchuk, L., Cohen, A., & Ferrell, A.
  
  🔗 View
  Key factors in corporate governance
• [117]Who is in whose pocket? Director compensation, board independence, and barriers to effective monitoring
  Ryan, H. E., & Wiggins, R. A.
  Journal of Financial Economics (2004)
  🔗 View
  Director compensation and board independence
• [118]Who makes acquisitions? CEO overconfidence and the market's reaction
  Malmendier, U., & Tate, G.
  
  🔗 View
  CEO overconfidence and acquisition decisions
• [119]Why do firms use incentives that have no incentive effects?
  Oyer, P.
  The Journal of Finance (2004)
  🔗 View
  Analysis of ineffective incentive structures
• [120]Why do some firms give stock options to all employees?: An empirical examination of alternative theories
  Oyer, P., & Schaefer, S.
  
  🔗 View
  Empirical examination of broad-based stock options

Research on the economic, social, and organizational impacts of artificial intelligence

• [1]A canonical constant elasticity of substitution (CES) production function
  Choi, K.-H., & Shin, S.
  
  🔗 View
  CES production function framework
• [2]A mathematical framework for AI-human integration in work
  Celis, L. E., Huang, L., & Vishnoi, N. K.
  arXiv (2025)
  🔗 View
  Mathematical framework for AI-human work integration
• [3]A strategic framework for artificial intelligence in marketing
  Huang, M.-H., & Rust, R. T.
  Journal of the Academy of Marketing Science (2021)
  🔗 View
  Strategic framework for AI in marketing
• [4]AI and growth: Where do we stand?
  Aghion, P., & Bunel, S.
  
  🔗 View
  AI and economic growth assessment
• [5]AI and the modern productivity paradox: A clash of expectations and statistics
  Brynjolfsson, E., Rock, D., & Syverson, C.
  
  🔗 View
  AI productivity paradox
• [6]Algorithm, human, or the centaur: How to enhance clinical care?
  Dean, A., Orfanoudaki, A., Saghafian, S., Song, K., Chakkera, H. A., & Cook, C. B.
  
  🔗 View
  Centaur approach in clinical care
• [7]An empirical analysis of intellectual property rights sharing in software development Outsourcing
  Chen, Y., Bharadwaj, A., & Goh, K.-Y.
  MIS Quarterly (2017)
  🔗 View
  IP rights sharing in software outsourcing
• [8]An incomplete contracts theory of information, technology and organization
  Brynjolfsson, E.
  
  🔗 View
  Incomplete contracts in technology and organization
• [9]Artificial Intelligence and Management: The Automation–Augmentation Paradox
  Raisch, S., & Krakowski, S.
  Academy of Management Review (2021)
  🔗 View
  Automation-augmentation paradox in management
• [10]Artificial intelligence and jobs: Evidence from online vacancies
  Acemoglu, D., Autor, D., Hazell, J., & Restrepo, P.
  Journal of Labor Economics (2022)
  🔗 View
  AI impact on jobs from online vacancy data
• [11]Artificial intelligence and the modern productivity paradox: A clash of expectations and statistics
  Brynjolfsson, E., Rock, D., & Syverson, C.
  University of Chicago Press (2019)
  🔗 View
  AI and productivity paradox analysis
• [12]Artificial intelligence and the modern productivity paradox: A clash of expectations and statistics
  Brynjolfsson, E., Rock, D., & Syverson, C.
  National Bureau of Economic Research (2017)
  🔗 View
  AI productivity paradox analysis
• [13]Artificial intelligence and the skill premium
  Bloom, D. E., Prettner, K., Saadaoui, J., & Veruete, M.
  
  🔗 View
  AI impact on skill premium
• [14]Artificial intelligence in disease diagnostics: A critical review and classification on the current state of research guiding future direction
  Mirbabaie, M., Stieglitz, S., & Frick, N. R. J.
  Health Technology (2021)
  🔗 View
  AI in disease diagnostics review
• [15]Artificial intelligence in service
  Huang, M.-H., & Rust, R. T.
  Journal of Service Research (2018)
  🔗 View
  AI applications in service industries
• [16]Augmenting or automating labor? The effect of AI development on new work, employment, and wages
  Marguerit, D.
  arXiv (2025)
  🔗 View
  AI development effects on work, employment, and wages
• [17]Automation and new tasks: How technology displaces and reinstates labor
  Acemoglu, D., & Restrepo, P.
  Journal of Economic Perspectives (2019)
  🔗 View
  Technology displacement and labor reinstatement
• [18]Automation, AI & work
  Tyson, L. D., & Zysman, J.
  Daedalus (2022)
  🔗 View
  Automation, AI, and work relationships
• [19]Automation: Theory, evidence, and outlook
  Restrepo, P.
  
  🔗 View
  Comprehensive review of automation
• [20]Beyond human and machine: An architecture and methodology guideline for centaurian design
  Pareschi, R.
  Sci (2024)
  🔗 View
  Centaurian design guidelines
• [21]Big other: Surveillance capitalism and the prospects of an information civilization
  Zuboff, S.
  Journal of Information Technology (2015)
  🔗 View
  Surveillance capitalism and information civilization
• [22]Complement or substitute? How AI increases the demand for human skills
  Mäkelä, E., & Stephany, F.
  
  🔗 View
  AI as complement or substitute for human skills
• [23]Complementarity in human-AI collaboration: Concept, sources, and evidence
  Hemmer, P., Schemmer, M., Kühl, N., Vössing, M., & Satzger, G.
  European Journal of Information Systems (2025)
  🔗 View
  Human-AI complementarity concept and evidence
• [24]Displacement or complementarity? The labor market impact of generative AI
  Chen, W. X., Srinivasan, S., & Zakerinia, S.
  
  🔗 View
  Generative AI labor market impact
• [25]Does artificial intelligence affect the pattern of skill demand? Evidence from chinese manufacturing firms
  Xie, M., Ding, L., Xia, Y., Guo, J., Pan, J., & Wang, H.
  Economic Modelling (2021)
  🔗 View
  AI impact on skill demand in Chinese manufacturing
• [26]Dynamics of labor and capital in AI vs. non-AI industries: A two-industry model analysis
  Huang, X.
  PLOS One (2024)
  🔗 View
  Labor and capital dynamics in AI industries
• [27]Effective generative AI: The human-algorithm centaur
  Saghafian, S., & Idan, L.
  (2024)
  🔗 View
  Centaur approach with generative AI
• [28]Exploring information technology outsourcing relationships: Theory and practice
  Kern, T., & Willcocks, L.
  Journal of Strategic Information Systems (2000)
  🔗 View
  IT outsourcing relationships
• [29]Governance and design of digital platforms: A review and future research directions on a meta-organization
  Chen, L., Tong, T. W., Tang, S., & Han, N.
  Journal of Management (2022)
  🔗 View
  Digital platform governance and design
• [30]How types of goods and property rights jointly affect collective action
  Ostrom, E.
  Journal of Theoretical Politics (2003)
  🔗 View
  Property rights and collective action
• [31]Human-AI agency in the age of generative AI
  Krakowski, S.
  Information and Organization (2025)
  🔗 View
  Human-AI agency with generative AI
• [32]Human-generative AI collaboration enhances task performance but undermines human's intrinsic motivation
  Wu, S., Liu, Y., Ruan, M., Chen, S., & Xie, X.-Y.
  Scientific Reports (2025)
  🔗 View
  Human-AI collaboration effects on performance and motivation
• [33]Incomplete contracts and control
  Hart, O.
  American Economic Review (2017)
  🔗 View
  Incomplete contracts and control rights
• [34]Institutions, technology and prosperity
  Acemoglu, D.
  
  🔗 View
  Institutions, technology, and economic prosperity
• [35]Investment in human capital: A theoretical analysis
  Becker, G. S.
  Journal of Political Economy (1962)
  🔗 View
  Classic work on human capital investment
• [36]Labor- and capital-augmenting technical change
  Acemoglu, D.
  Journal of the European Economic Association (2003)
  🔗 View
  Labor and capital-augmenting technical change
• [37]Low-skill and high-skill automation
  Acemoglu, D., & Restrepo, P.
  
  🔗 View
  Automation across skill levels
• [38]MANAGING ARTIFICIAL INTELLIGENCE
  Berente, N., Gu, B., Recker, J., & Santhanam, R.
  MIS Quarterly (2021)
  🔗 View
  Management perspectives on artificial intelligence
• [39]Machine behaviour
  Rahwan, I., Cebrian, M., Obradovich, N., Bongard, J., Bonnefon, J.-F., Breazeal, C., & Wellman, M.
  Nature (2019)
  🔗 View
  Machine behavior and its implications
• [40]Misperceiving interactions among complements and substitutes: Organizational consequences
  Siggelkow, N.
  Management Science (2002)
  🔗 View
  Organizational consequences of misperceiving interactions
• [41]Modeling automation
  Acemoglu, D., & Restrepo, P.
  AEA Papers and Proceedings (2018)
  🔗 View
  Theoretical modeling of automation
• [42]Occupational, industry, and geographic exposure to artificial intelligence: A novel dataset and its potential uses
  Felten, E., Raj, M., & Seamans, R.
  Strategic Management Journal (2021)
  🔗 View
  AI exposure across occupations, industries, and geography
• [43]Old moats for new models: Openness, control, and competition in generative AI
  Azoulay, P., Krieger, J., & Nagaraj, A.
  
  🔗 View
  Competition dynamics in generative AI
• [44]Property rights and the nature of the firm
  Hart, O., & Moore, J.
  Journal of Political Economy (1990)
  🔗 View
  Classic work on property rights and firm theory
• [45]Quantifying the impact of AI on productivity and labor demand: Evidence from U.S. census microdata
  Alderucci, D., Branstetter, L., College, H., Hovy, E., & Runge, A.
  
  🔗 View
  AI impact on productivity and labor demand
• [46]R&D and productivity: Estimating endogenous productivity
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• [56]The economics of artificial intelligence: An agenda
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  University of Chicago Press (2019)
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• [57]The firm as a collection of assets
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  European Economic Review (1992)
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  National Bureau of Economic Research (2018)
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• [66]The turing transformation: Artificial intelligence, intelligence augmentation, and skill premiums
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• [68]Toward understanding the impact of artificial intelligence on labor
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