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Artificial Intelligence in Organizations: New Opportunities for Phenomenon-Based Theorizing

现象 认识论 社会学 认知科学 知识管理 心理学 工程伦理学 计算机科学 工程类 哲学
作者
Georg von Krogh
出处
期刊:Academy of Management discoveries [Academy of Management]
卷期号:4 (4): 404-409 被引量:364
标识
DOI:10.5465/amd.2018.0084
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. 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