算法权力反映了算法对目标对象行为的控制力和影响力,强调算法对目标对象的过程监督、行为规范和意识引导。尽管算法权力在推动企业与劳动者价值共创,提升劳动者获得感、幸福感、安全感方面具有重大价值和现实意义,但目前学术界对算法权力的研究还处于初步发展阶段,缺乏系统性梳理。鉴于此,本文在回顾权力相关文献的基础上明晰了算法权力的概念与内涵,从组织内权力来源的五个维度归纳了算法权力的影响因素,从积极和消极两个方面总结了算法权力对组织和个体产生的影响,并从规训机制、嵌入机制和迭代机制三个方面对算法权力的影响机制进行了讨论。最后,本文总结了算法权力已有研究的不足,并从开发测量工具、加强动态研究、深化研究结果、拓宽研究领域、拓展机制研究、关注本土背景等多个方面展望了未来的研究方向,为算法权力后续研究的开展提供参考。
算法权力在管理领域的研究回顾、探索与展望
摘要
参考文献
1 包艳, 廖建桥, 刘智强. 新权力范式对组织行为管理的影响及对策研究[J]. 管理学报, 2021, 18(5): 695-703. DOI:10.3969/j.issn.1672-884x.2021.05.007
8 裴嘉良, 刘善仕, 崔勋, 等. 算法控制能激发零工工作者提供主动服务吗?——基于工作动机视角[J/OL]. 南开管理评论, 2022, https://kns.cnki.net/kcms/detail/12.1288.f.20220914.1317.009.html.
15 Aitken R. “All data is credit data”: Constituting the unbanked[J]. Competition & Change, 2017, 21(4): 274-300.
16 Alder G S, Ambrose M L. An examination of the effect of computerized performance monitoring feedback on monitoring fairness, performance, and satisfaction[J]. Organizational Behavior and Human Decision Processes, 2005, 97(2): 161-177. DOI:10.1016/j.obhdp.2005.03.003
18 Anderson C, Brion S, Moore D A, et al. A status-enhancement account of overconfidence[J]. Journal of Personality and Social Psychology, 2012, 103(4): 718-735. DOI:10.1037/a0029395
19 Andrejevic M B. The big data divide[J]. International Journal of Communication, 2014, 8(1): 1673-1689.
20 Angrave D, Charlwood A, Kirkpatrick I, et al. HR and analytics: Why HR is set to fail the big data challenge[J]. Human Resource Management Journal, 2016, 26(1): 1-11. DOI:10.1111/1748-8583.12090
21 Ashforth B E, Caza B B, Meister A. My place: How workers become identified with their workplaces and why it matters[J]. Academy of Management Review, 2022, DOI: 10.5465/amr.2020.0442.
22 Beer D. The social power of algorithms[J]. Information, Communication & Society, 2017, 20(1): 1-13.
24 Brivot M, Gendron Y. Beyond panopticism: On the ramifications of surveillance in a contemporary professional setting[J]. Accounting, Organizations and Society, 2011, 36(3): 135-155. DOI:10.1016/j.aos.2011.03.003
25 Bucher T. The algorithmic imaginary: Exploring the ordinary affects of Facebook algorithms[J]. Information, Communication & Society, 2017, 20(1): 30-44.
26 Burrell J, Fourcade M. The society of algorithms[J]. Annual Review of Sociology, 2021, 47(1): 213-237. DOI:10.1146/annurev-soc-090820-020800
27 Cameron L D. “Making out” while driving: Relational and efficiency games in the gig economy[J]. Organization Science, 2022, 33(1): 231-252. DOI:10.1287/orsc.2021.1547
28 Cameron L D, Rahman H. Expanding the locus of resistance: Understanding the co-constitution of control and resistance in the gig economy[J]. Organization Science, 2022, 33(1): 38-58. DOI:10.1287/orsc.2021.1557
29 Cheng M M, Foley C. Algorithmic management: The case of Airbnb[J]. International Journal of Hospitality Management, 2019, 83: 33-36. DOI:10.1016/j.ijhm.2019.04.009
30 Cheng M M, Hackett R D. A critical review of algorithms in HRM: Definition, theory, and practice[J]. Human Resource Management Review, 2021, 31(1): 100698. DOI:10.1016/j.hrmr.2019.100698
31 Cherry M A, Aloisi A. A critical examination of a third employment category for on-demand work[A]. Davidson N M, Finck M, Infranca J J. The Cambridge handbook of the law of the sharing economy[M]. Cambridge: Cambridge University Press, 2018.
32 Christin A. Algorithms in practice: Comparing web journalism and criminal justice[J]. Big Data & Society, 2017, 4(2): 1-14.
33 Copeland R, Hope B. The world’s largest hedge fund is building an algorithmic model from its employees’ brains[N]. The Wall Street Journal Eastern Edition, 2016-12-22.
34 Cram W A, Wiener M, Tarafdar M, et al. Examining the impact of algorithmic control on Uber drivers’ technostress[J]. Journal of Management Information Systems, 2022, 39(2): 426-453. DOI:10.1080/07421222.2022.2063556
35 Cramer J, Krueger A B. Disruptive change in the taxi business: The case of Uber[J]. American Economic Review, 2016, 106(5): 177-182. DOI:10.1257/aer.p20161002
36 Curchod C, Patriotta G, Cohen L, et al. Working for an algorithm: Power asymmetries and agency in online work settings[J]. Administrative Science Quarterly, 2020, 65(3): 644-676. DOI:10.1177/0001839219867024
37 de Vaujany F X, Leclercq-Vandelannoitte A, Munro I, et al. Control and surveillance in work practice: Cultivating paradox in “new” modes of organizing[J]. Organization Studies, 2021, 42(5): 675-695. DOI:10.1177/01708406211010988
38 Desai V, Madsen P. Take your time? How activity timing affects organizational learning and performance outcomes[J]. Organization Science, 2022, 33(5): 1707-1723. DOI:10.1287/orsc.2021.1490
39 Duggan J, Carbery R, McDonnell A, et al. Algorithmic HRM control in the gig economy: The app-worker perspective[J]. Human Resource Management, 2023, DOI: org/10.1002/hrm.22168.
40 Duggan J, Sherman U, Carbery R, et al. Algorithmic management and app-work in the gig economy: A research agenda for employment relations and HRM[J]. Human Resource Management Journal, 2020, 30(1): 114-132. DOI:10.1111/1748-8583.12258
41 Emerson R M. Power-dependence relations[J]. American Sociological Review, 1962, 27(1): 31-41. DOI:10.2307/2089716
42 Faraj S, Pachidi S, Sayegh K. Working and organizing in the age of the learning algorithm[J]. Information and Organization, 2018, 28(1): 62-70. DOI:10.1016/j.infoandorg.2018.02.005
43 Fernández-Macías E. Automation, digitalisation and platforms: Implications for work and employment[M]. Luxembourg: Publications Office of the European Union, 2018.
44 Foucault M. Discipline & punish: The birth of the prison[M]. New York: Vintage, 1995.
45 Foucault M. Truth and juridical forms[J]. Social Identities, 1996, 2(3): 327-342. DOI:10.1080/13504639652213
46 Fourcade M, Healy K. Classification situations: Life-chances in the neoliberal era[J]. Accounting, Organizations and Society, 2013, 38(8): 559-572. DOI:10.1016/j.aos.2013.11.002
47 Fox S, Howell N, Wong R, et al. Vivewell: Speculating near-future menstrual tracking through current data practices[A]. Proceedings of the 2019 ACM conference on designing interactive systems (Dis 2019)[C]. San Diego, 2019.
48 Gal U, Jensen T B, Stein M K. Breaking the vicious cycle of algorithmic management: A virtue ethics approach to people analytics[J]. Information and Organization, 2020, 30(2): 100301. DOI:10.1016/j.infoandorg.2020.100301
49 Gol E S, Stein M K, Avital M. Crowdwork platform governance toward organizational value creation[J]. The Journal of Strategic Information Systems, 2019, 28(2): 175-195. DOI:10.1016/j.jsis.2019.01.001
50 Gray M L, Suri S. Ghost work: How to stop silicon valley from building a new global underclass[M]. Boston: Houghton Mifflin Harcourt, 2019.
51 Günther W A, Mehrizi M H R, Huysman M, et al. Debating big data: A literature review on realizing value from big data[J]. The Journal of Strategic Information Systems, 2017, 26(3): 191-209. DOI:10.1016/j.jsis.2017.07.003
53 Hafermalz E. Out of the panopticon and into exile: Visibility and control in distributed new culture organizations[J]. Organization Studies, 2021, 42(5): 697-717. DOI:10.1177/0170840620909962
54 Harms P D, Han G H. Algorithmic leadership: The future is now[J]. Journal of Leadership Studies, 2019, 12(4): 74-75. DOI:10.1002/jls.21615
55 Huang X, Chen L, Xu E, et al. Shadow of the prince: Parent-incumbents’ coercive control over child-successors in family organizations[J]. Administrative Science Quarterly, 2020, 65(3): 710-750. DOI:10.1177/0001839219870449
56 Irwin J R, Slovic P, Lichtenstein S, et al. Preference reversals and the measurement of environmental values[J]. Journal of Risk and Uncertainty, 1993, 6(1): 5-18. DOI:10.1007/BF01065347
57 Isin E, Ruppert E. The birth of sensory power: How a pandemic made it visible?[J]. Big Data & Society, 2020, 7(2): 1-15.
58 Jabagi N, Croteau A M, Audebrand L K, et al. Gig-workers’ motivation: Thinking beyond carrots and sticks[J]. Journal of Managerial Psychology, 2019, 34(4): 192-213. DOI:10.1108/JMP-06-2018-0255
59 Jarrahi M H, Newlands G, Lee M K, et al. Algorithmic management in a work context[J]. Big Data & Society, 2021, 8(2): 1-14.
60 Jarrahi M H, Sutherland W. Algorithmic management and algorithmic competencies: Understanding and appropriating algorithms in gig work[A]. Taylor N G, Christian-Lamb C, Martin M H, et al. Information in contemporary society[M]. Cham: Springer, 2019.
61 Kellogg K C, Valentine M A, Christin A. Algorithms at work: The new contested terrain of control[J]. Academy of Management Annals, 2020, 14(1): 366-410. DOI:10.5465/annals.2018.0174
63 Kossek E E, Pichler S, Bodner T, et al. Workplace social support and work-family conflict: A meta-analysis clarifying the influence of general and work-family-specific supervisor and organizational support[J]. Personnel Psychology, 2011, 64(2): 289-313. DOI:10.1111/j.1744-6570.2011.01211.x
64 Lash S. Power after hegemony: Cultural studies in mutation?[J]. Theory, Culture & Society, 2007, 24(3): 55-78.
66 Leicht-Deobald U, Busch T, Schank C, et al. The challenges of algorithm-based HR decision-making for personal integrity[J]. Journal of Business Ethics, 2019, 160(2): 377-392. DOI:10.1007/s10551-019-04204-w
68 Logg J M, Minson J A, Moore D A. Algorithm appreciation: People prefer algorithmic to human judgment[J]. Organizational Behavior and Human Decision Processes, 2019, 151: 90-103. DOI:10.1016/j.obhdp.2018.12.005
70 Mackenzie D. How algorithms interact: Goffman’s “interaction order” in automated trading[J]. Theory, Culture & Society, 2019, 36(2): 39-59.
71 Magee J C, Galinsky A D. Social hierarchy: The self-reinforcing nature of power and status[J]. Academy of Management Annals, 2008, 2(1): 351-398. DOI:10.5465/19416520802211628
72 Meijerink J, Bondarouk T. The duality of algorithmic management: Toward a research agenda on HRM algorithms, autonomy and value creation[J]. Human Resource Management Review, 2023, 33(1): 100876. DOI:10.1016/j.hrmr.2021.100876
73 Möhlmann M, Zalmanson L, Henfridsson O, et al. Algorithmic management of work on online labor platforms: When matching meets control[J]. MIS Quarterly, 2021, 45(4): 1999-2022. DOI:10.25300/MISQ/2021/15333
74 Morse L, Teodorescu M H M, Awwad Y, et al. Do the ends justify the means? Variation in the distributive and procedural fairness of machine learning algorithms[J]. Journal of Business Ethics, 2022, 181(4): 1083-1095. DOI:10.1007/s10551-021-04939-5
75 Newell S, Marabelli M. Strategic opportunities (and challenges) of algorithmic decision-making: A call for action on the long-term societal effects of “datification”[J]. The Journal of Strategic Information Systems, 2015, 24(1): 3-14. DOI:10.1016/j.jsis.2015.02.001
76 Newlands G. Algorithmic surveillance in the gig economy: The organization of work through lefebvrian conceived space[J]. Organization Studies, 2021, 42(5): 719-737. DOI:10.1177/0170840620937900
77 Newman D L, Fast N J, Harmon D J. When eliminating bias isn’t fair: Algorithmic reductionism and procedural justice in human resource decisions[J]. Organizational Behavior and Human Decision Processes, 2020, 160: 149-167. DOI:10.1016/j.obhdp.2020.03.008
79 Pasquale F. The black box society: The secret algorithms that control money and information[M]. Cambridge: Harvard University Press, 2015.
80 Puntoni S, Reczek R W, Giesler M, et al. Consumers and artificial intelligence: An experiential perspective[J]. Journal of Marketing, 2021, 85(1): 131-151. DOI:10.1177/0022242920953847
81 Rahman H A. The invisible cage: Workers’ reactivity to opaque algorithmic evaluations[J]. Administrative Science Quarterly, 2021, 66(4): 945-988. DOI:10.1177/00018392211010118
82 Raven B H, French Jr J R P. Legitimate power, coercive power, and observability in social influence[J]. Sociometry, 1958, 21(2): 83-97. DOI:10.2307/2785895
83 Rosenblat A. Uberland: How algorithms are rewriting the rules of work[M]. Oakland: University of California Press, 2018.
84 Rosenblat A, Stark L. Algorithmic labor and information asymmetries: A case study of Uber’s drivers[J]. International Journal of Communication, 2016, 10: 3758-3784.
85 Russell C, Bennett N. Big data and talent management: Using hard data to make the soft stuff easy[J]. Business Horizons, 2015, 58(3): 237-242. DOI:10.1016/j.bushor.2014.08.001
86 Sadowski J. When data is capital: Datafication, accumulation, and extraction[J]. Big Data & Society, 2019, 6(1): 1-12.
87 Salancik G R, Pfeffer J. A social information processing approach to job attitudes and task design[J]. Administrative Science Quarterly, 1978, 23(2): 224-253. DOI:10.2307/2392563
88 Schafheitle S, Weibel A, Ebert I, et al. No stone left unturned? Toward a framework for the impact of datafication technologies on organizational control[J]. Academy of Management Discoveries, 2020, 6(3): 455-487.
89 Scheiber N. How Uber uses psychological tricks to push its drivers’ buttons[N]. New York Times, 2017-04-02.
90 Schildt H. Big data and organizational design-the brave new world of algorithmic management and computer augmented transparency[J]. Innovation, 2017, 19(1): 23-30. DOI:10.1080/14479338.2016.1252043
91 Sewell G, Barker J R. Coercion versus care: Using irony to make sense of organizational surveillance[J]. Academy of Management Review, 2006, 31(4): 934-961. DOI:10.5465/amr.2006.22527466
92 Stefano V. The rise of the just-in-time workforce: On-demand work, crownwork, and labor protection in the gig-economy[J]. Comparative Labor Law & Policy Journal, 2016, 37(3): 471-504.
93 Ten Brinke L, Keltner D. Theories of power: Perceived strategies for gaining and maintaining power[J]. Journal of Personality and Social Psychology, 2022, 122(1): 53-72. DOI:10.1037/pspi0000345
94 Townley B. Performance appraisal and the emergence of management[J]. Journal of Management Studies, 1993, 30(2): 221-238. DOI:10.1111/j.1467-6486.1993.tb00302.x
95 Valentine M A, Retelny D, To A, et al. Flash organizations: Crowdsourcing complex work by structuring crowds as organizations[A]. Proceedings of the 2017 CHI conference on human factors in computing systems[C]. Colorado: ACM, 2017.
96 Vallas S, Schor J B. What do platforms do? Understanding the gig economy[J]. Annual Review of Sociology, 2020, 46: 273-294. DOI:10.1146/annurev-soc-121919-054857
97 Vallas S P. Empowerment redux: Structure, agency, and the remaking of managerial authority[J]. American Journal of Sociology, 2006, 111(6): 1677-1717. DOI:10.1086/499909
98 Wilson J, Daugherty P R. Collaborative intelligence humans and al are joining forces[J]. Harvard Business Review, 2018, 96(4): 115-123.
99 Wood A J, Graham M, Lehdonvirta V, et al. Good gig, bad gig: Autonomy and algorithmic control in the global gig economy[J]. Work, Employment and Society, 2019, 33(1): 56-75. DOI:10.1177/0950017018785616
100 Woyke E. Slack hopes its al will keep you from hating slack: The fastest-growing business app is relying on machine-learning tricks to fend off a deluge of messages-as well as competition from Facebook and Microsoft[N]. MIT Technology Review, 2018-01-16.
101 Wu Q J, Zhang H, Li Z, et al. Labor control in the gig economy: Evidence from Uber in China[J]. Journal of Industrial Relations, 2019, 61(4): 574-596. DOI:10.1177/0022185619854472
102 Yeung K. “Hypernudge”: Big data as a mode of regulation by design[J]. Information, Communication & Society, 2017, 20(1): 118-136.
103 Zorina A, Bélanger F, Kumar N, et al. Watchers, watched, and watching in the digital age: Reconceptualization of information technology monitoring as complex action nets[J]. Organization Science, 2021, 32(6): 1571-1596. DOI:10.1287/orsc.2021.1435
104 Zuboff S. Big other: Surveillance capitalism and the prospects of an information civilization[J]. Journal of Information Technology, 2015, 30(1): 75-89. DOI:10.1057/jit.2015.5
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包艳, 马伟博, 廖建桥, 等. 算法权力在管理领域的研究回顾、探索与展望[J]. 外国经济与管理, 2024, 46(5): 120-135.
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