亲爱的研友该休息了!由于当前在线用户较少,发布求助请尽量完整地填写文献信息,科研通机器人24小时在线,伴您度过漫漫科研夜!身体可是革命的本钱,早点休息,好梦!

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:374
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. 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
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
更新
PDF的下载单位、IP信息已删除 (2025-6-4)

科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
烤鸭完成签到 ,获得积分10
41秒前
1分钟前
1分钟前
paper发布了新的文献求助20
1分钟前
领导范儿应助paper采纳,获得10
1分钟前
大个应助郭伟采纳,获得10
2分钟前
h0jian09完成签到,获得积分10
2分钟前
2分钟前
郭伟发布了新的文献求助10
2分钟前
zsmj23完成签到 ,获得积分0
2分钟前
3分钟前
3分钟前
3分钟前
忐忑的烤鸡完成签到,获得积分10
4分钟前
斯文的访烟完成签到,获得积分10
4分钟前
古铜完成签到 ,获得积分10
4分钟前
WWW发布了新的文献求助10
4分钟前
yindi1991完成签到 ,获得积分10
6分钟前
Orange应助121采纳,获得10
6分钟前
6分钟前
121发布了新的文献求助10
6分钟前
kokok发布了新的文献求助10
6分钟前
丘比特应助kokok采纳,获得10
7分钟前
乐乐应助大胆的蜜粉采纳,获得10
7分钟前
碧蓝的盼夏完成签到,获得积分10
7分钟前
8分钟前
云是完成签到 ,获得积分10
8分钟前
8分钟前
科研通AI2S应助科研通管家采纳,获得30
9分钟前
chentong完成签到 ,获得积分10
10分钟前
121完成签到,获得积分10
10分钟前
Lainey完成签到,获得积分10
10分钟前
蚂蚁踢大象完成签到 ,获得积分10
12分钟前
彭于晏应助yuan采纳,获得10
12分钟前
12分钟前
123发布了新的文献求助10
12分钟前
123完成签到,获得积分10
13分钟前
科研通AI2S应助科研通管家采纳,获得10
13分钟前
13分钟前
yuan发布了新的文献求助10
14分钟前
高分求助中
ФОРМИРОВАНИЕ АО "МЕЖДУНАРОДНАЯ КНИГА" КАК ВАЖНЕЙШЕЙ СИСТЕМЫ ОТЕЧЕСТВЕННОГО КНИГОРАСПРОСТРАНЕНИЯ 3000
Electron microscopy study of magnesium hydride (MgH2) for Hydrogen Storage 1000
生物降解型栓塞微球市场(按产品类型、应用和最终用户)- 2030 年全球预测 500
Quantum Computing for Quantum Chemistry 500
Thermal Expansion of Solids (CINDAS Data Series on Material Properties, v. I-4) 470
Fire Protection Handbook, 21st Edition volume1和volume2 360
Phylogenetic study of the order Polydesmida (Myriapoda: Diplopoda) 360
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 物理 生物化学 纳米技术 计算机科学 化学工程 内科学 复合材料 物理化学 电极 遗传学 量子力学 基因 冶金 催化作用
热门帖子
关注 科研通微信公众号,转发送积分 3901853
求助须知:如何正确求助?哪些是违规求助? 3446533
关于积分的说明 10845007
捐赠科研通 3171729
什么是DOI,文献DOI怎么找? 1752453
邀请新用户注册赠送积分活动 847237
科研通“疑难数据库(出版商)”最低求助积分说明 789785