摘要
Academy of Management DiscoveriesVol. 4, No. 4 GuidepostArtificial Intelligence in Organizations: New Opportunities for Phenomenon-Based TheorizingGeorg von KroghGeorg von Krogh1Corresponding author.ETH ZurichPublished Online:21 Dec 2018https://doi.org/10.5465/amd.2018.0084AboutSectionsView articleView Full TextPDF/EPUB ToolsDownload CitationsAdd to favoritesTrack Citations ShareShare onFacebookTwitterLinkedInRedditEmail View articleREFERENCESAgarwal, A. K., Gans, J., & Goldfarb, A. 2018. Exploring the impact of artificial intelligence: Prediction versus judgment. NBER. Working paper. 24626. Google ScholarAoki, M. 1986. Horizontal vs. vertical information structure of the firm. The American Economic Review, 76: 971–983. Google ScholarBamberger, P. A. 2018. Clarifying what we are about and where we are going. Academy of Management Discoveries, 4: 1–10.Link , Google ScholarBecker, S. W., & Baloff, N. 1969. Organizational structure and complex problem solving. Administrative Science Quarterly, 14(2): 260–271. Google ScholarBen-Menahem, S. M., von Krogh, G., Erden, Z., & Schneider, A. 2016. Coordinating knowledge creation in multidisciplinary teams: Evidence from early-stage drug discovery. Academy of Management Journal, 59(4): 1308–1338.Link , Google ScholarBlomberg, S. N., Folke, F., Ersboell, A. K., & Lippert, F. K. 2018. Machine learning model surpassing medical dispatchers’ recognition of out-of-hospital cardiac arrest. BMJ Open, 8(Suppl 1): A1–A3. Google ScholarBrusoni, S. 2005. The limits to specialization: Problem solving and coordination in modular networks. Organization Studies, 26(12): 1885–1907. Google ScholarBrynjolfsson, E., & McAfee, A. 2014. The second machine age: Work, progress, and prosperity in a time of brilliant technologies. Plassen, NY: WW Norton & Company. Google ScholarFeldman, M. S., & March, J. G. 1981. Information in organizations as signal and symbol. Administrative Science Quarterly, 26(2): 171–186. Google ScholarFlasinski, M. 2016. Cognitive architectures. In Introduction to artificial intelligence. Cham, Switzerland: Springer. Google ScholarGalbraith, J. R. 1974. Organization design: An information processing view. Interfaces, 4(3): 28–36. Google ScholarHargadon, A. B., & Bechky, B. A. 2006. When collections of creatives become creative collectives: A field study of problem solving at work. Organization Science, 17(4): 484–500. Google ScholarLaurerio-Martinez, D., & Brusoni, S. 2018. Cognitive flexibility and adaptive decision making: evidence from a laboratory study of expert decision makers. Strategic Management Journal, 39(4): 1031–1058. Google ScholarLevinthal, D. A., & Workiewicz, M. 2018. When two bosses are better than one: Nearly decomposable systems and organizational adaptation. Organization Science, 29(2): 207–224. Google ScholarMacKinnon Clark, C., Tan, M. L., Murfett, U. M., Rogers, P. S., & Ang, S. 2018. The call center agent’s performance paradox: A mixed methods study of discourse strategies and paradox resolution. Academy of Management Discoveries, forthcoming. Google ScholarMarch, J. G. 1978. Bounded rationality, ambiguity, and the engineering of choice. The Bell Journal of Economics, 9(2): 587–608. Google ScholarMarch, J. G., & Simon, H. A. 1958. Organizations. New York: Wiley. Google ScholarMcLaren, B. M. 2003. Extensionally defining principles and cases in ethics: An AI model. Artificial Intelligence, 150(1–2): 145–181. Google ScholarMiron-Spektor, E., Ingram, A., Keller, J., Smith, W. K., & Lewis, M. W. 2018. Microfoundations of organizational paradox: The problem is how we think about the problem. Academy of Management Journal, 61(1): 26–45.Link , Google ScholarNewell, A., & Simon, H. A. 1972. Human problem solving, vol. 104, no. 9. Englewood Cliffs, NJ: Prentice-Hall. Google ScholarNickerson, J. A., & Zenger, T. R. 2004. A knowledge-based theory of the firm—The problem-solving perspective. Organization Science, 15(6): 617–632. Google ScholarOrlikowski, W. J. 2007. Sociomaterial practices: Exploring technology at work. Organization Studies, 28(9): 1435–1448. Google ScholarPaul. G. 1993. Approaches to abductive reasoning—An overview. Artificial Intelligence Review, 7(2): 109–152. Google ScholarPuranam, P., Shrestha, Y. R., He, V. F., & von Krogh, G. 2018. Algorithmic induction through machine learning: Opportunities for management and organization research. Available at SSRN: https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3140617. Google ScholarPuranam, P., Stieglitz, N., Osman, M., & Pillutla, M. M. 2015. Modelling bounded rationality in organizations: Progress and prospects. The Academy of Management Annals, 9(1): 337–392.Link , Google ScholarRoos, J., & von Krogh, G. 1995. Organizational epistemology. New York: Macmillan and St Martin’s Press. Google ScholarSchwarting, W., Alonso-Mora, J., & Rus, D. 2018. Planning and decision making for autonomous vehicles. Annual Review of Control, Robotics, and Autonomous Systems, 6(59): 8.1–8.24. Google ScholarSchwenk, C., & Thomas, H. 1983. Formulating the mess: The role of decision aids in problem formulation. Omega, 11(3): 239–252. Google ScholarSimon, H. A. 1973. The structure of ill-structured problems. Artificial Intelligence, 4(3–4): 181–201. Google ScholarSuchman, L. 2007. Human-machine reconfigurations: Plans and situated actions. Cambridge, UK: Cambridge University Press. Google ScholarVon Hippel, E., & von Krogh, G. 2016. Identifying viable “need–solution pairs”: Problem solving without problem formulation. Organization Science, 27(1): 207–221. Google ScholarFiguresReferencesRelatedDetailsCited byWhen Conscientious Employees Meet Intelligent Machines: An Integrative Approach Inspired by Complementarity Theory and Role TheoryPok Man Tang, Joel Koopman, Shawn T. McClean, Jack H. Zhang, Chi Hon Li, David De Cremer, Yizhen Lu and Chin Tung Stewart Ng30 June 2022 | Academy of Management Journal, Vol. 65, No. 3Organizations as Artificial Intelligences: The Use of Artificial Intelligence Analogies in Organization TheoryFelipe A. Csaszar and Tom Steinberger26 January 2022 | Academy of Management Annals, Vol. 16, No. 1Humans and Technology: Forms of Conjoined Agency in OrganizationsAlex Murray, Jen Rhymer and David G. Sirmon15 July 2021 | Academy of Management Review, Vol. 46, No. 3No Stone Left Unturned? Toward a Framework for the Impact of Datafication Technologies on Organizational ControlSimon Schafheitle, Antoinette Weibel, Isabel Ebert, Gabriel Kasper, Christoph Schank and Ulrich Leicht-Deobald29 October 2020 | Academy of Management Discoveries, Vol. 6, No. 3Creativity, Artificial Intelligence, and a World of SurprisesTeresa M. Amabile29 October 2020 | Academy of Management Discoveries, Vol. 6, No. 3International Entrepreneurship (IE) in the Age of Political TurbulenceShaker A. Zahra5 August 2020 | Academy of Management Discoveries, Vol. 6, No. 2Toward a Better Understanding of Tacit Knowledge in Organizations: Taking Stock and Moving ForwardDemetris Hadjimichael and Haridimos Tsoukas15 July 2019 | Academy of Management Annals, Vol. 13, No. 2Sustainable Development in an Age of DisruptionPratima (Tima) Bansal26 March 2019 | Academy of Management Discoveries, Vol. 5, No. 1 Vol. 4, No. 4 Permissions Metrics in the past 12 months History Published online 21 December 2018 Published in print 1 December 2018 Information© Academy of Management DiscoveriesKeywordsorganization theoryartificial intelligencemachine learningdecision-makingproblem-solvingdivision of labordelegationAcknowledgmentsI am truly grateful for excellent comments by Peter Bamberger, Shiko Ben-Menahem, Stefano Brusoni, Vivianna Fang He, Florian von Wangenheim, Ce Zhang, and Yash Raj Shresta on earlier version of this manuscript.Download PDF