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Cited by 15AI and HR TechnologiesJob Satisfaction and Organizational BehaviorDigital Economy and Work Transformation

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Navigating the maze: the effects of algorithmic management on employee performance

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Liu, Mengzhe, Lan, Yuanyuan, Liu, Zhen, Liu, Mingyue, Xia, Yuhuan·2024·Humanities and Social Sciences Communications
DOI 10.1057/s41599-024-03453-z
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Abstract

Recent computer science advancements are now integrated into the workplace, where management increasingly uses algorithm systems. However, despite numerous studies focusing on the impact of algorithms on employees, research on employee creative and adaptive performance remains relatively scarce. To address this research gap, we applied the ability-motivation-opportunity (AMO) theory and developed a moderated mediation model to examine how algorithmic management affects employee creative and adaptive performance. We administered a survey questionnaire within an information technology service firm in northern China and collected valid responses from 327 employees. We then analyzed the gathered data using SPSS 27.0 and Mplus 8.3 to test the proposed hypotheses. The research findings revealed a potential negative impact of algorithmic management on employee creative and adaptive performance. Specifically, we found that algorithmic management inhibits employees’ improvisation capability, resulting in decreased creative and adaptive performance. Furthermore, we discovered that algorithmic dependence can magnify the negative impact of algorithmic management on improvisation capability. This study offers fresh perspectives on algorithmic management’s impact on employee creative and adaptive performance, contributing to the existing literature. This research delves into the theoretical and practical significance of these findings.

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Research works printed but not linked: 55

  1. Anwar MA, Graham M (2021) Between a rock and a hard place: freedom, flexibility, precarity and vulnerability in the gig economy in Africa. Compet Chang 25(2):237–258. https://doi.org/10.1177/1024529420914473 · DOI · Paper page
  2. Appelbaum E, Bailey T, Berg P, Kalleberg A (2000) Manufacturing advantage: why high-performance work systems pay off. Cornell University Press, New York
  3. Barrett FJ (1998) Coda—creativity and improvisation in jazz and organizations: implications for organizational learning. Organ Sci 9(5):605–622. https://doi.org/10.1287/orsc.9.5.605 · DOI
  4. Beer D (2019) The social power of algorithms. The social power of algorithms. Routledge, New York · DOI
  5. Blumberg M, Pringle CD (1982) The missing opportunity in organizational research: some implications for a theory of work performance. Acad Manag Rev 7(4):560–569. https://doi.org/10.5465/amr.1982.4285240 · DOI
  6. Bos-Nehles AC, Van Riemsdijk MJ, Looise JK (2013) Employee perceptions of line management performance: applying the AMO theory to explain the effectiveness of line managers’ HRM implementation. Hum Resour Manag 52(6):861–877. https://doi.org/10.1002/hrm.21578 · DOI · Paper page
  7. Brayfield AH, Crockett WH (1955) Employee attitudes and employee performance. Psychol Bull 52(5):396–424. https://doi.org/10.1037/h0045899 · DOI
  8. Bucher E, Fieseler C, Lutz C (2019) Mattering in digital labor. J Manag Psychol 34(4):307–324. https://doi.org/10.1108/JMP-06-2018-0265 · DOI · Paper page
  9. Bujold A, Parent-Rocheleau X, Gaudet MC (2022) Opacity behind the wheel: the relationship between transparency of algorithmic management, justice perception, and intention to quit among truck drivers. Comput Hum Behav 8:100245. https://doi.org/10.1016/j.chbr.2022.100245 · DOI
  10. Cascio WF, Montealegre R (2016) How technology is changing work and organizations. Annu Rev Organ Psych 3:349–375. https://doi.org/10.1146/annurev-orgpsych-041015-062352 · DOI
  11. Chen CJ, Huang JW (2009) Strategic human resource practices and innovation performance—the mediating role of knowledge management capacity. J Bus Res 62(1):104–114. https://doi.org/10.1016/j.jbusres.2007.11.016 · DOI
  12. Criscuolo P, Salter A, Ter Wal AL (2014) Going underground: Bootlegging and individual innovative performance. Organ Sci 25(5):1287–1305. https://doi.org/10.1287/orsc.2013.0856 · DOI
  13. Crossan M, Cunha MPE, Vera D, Cunha J (2005) Time and organizational improvisation. Acad Manag Rev 30(1):129–145. https://doi.org/10.5465/amr.2005.15281441 · DOI
  14. Crossan M, Sorrenti M (1997) Making sense of improvisa-tion. In Huff A, Walsh J (Eds) Advances in strategic management. JAl Press, Stamford, p 155–180
  15. Curchod C, Patriotta G, Cohen L, Neysen N (2020) Working for an algorithm: power asymmetries and agency in online work settings. Admin Sci Quart 65(3):644–676. https://doi.org/10.1177/0001839219867024 · DOI · Paper page
  16. Drazin R, Glynn MA, Kazanjian RK (1999) Multilevel theorizing about creativity in organizations: a sensemaking perspective. Acad Manage Rev 24(2):286–307. https://doi.org/10.5465/amr.1999.1893937 · DOI
  17. Duggan J, Sherman U, Carbery R, McDonnell A (2020) Algorithmic management and app-work in the gig economy: a research agenda for employment relations and hrm. Hum Resour Manag J 30(1):114–132. https://doi.org/10.1111/1748-8583.12258 · DOI · Paper page
  18. Gong Y, Huang JC, Farh JL (2009) Employee learning orientation, transformational leadership, and employee creativity: the mediating role of employee creative self-efficacy. Acad Manage J 52(4):765–778. https://doi.org/10.5465/amj.2009.43670890 · DOI · Paper page
  19. Guendelsberger E (2019) On the clock. Little, Brown and Company, New York
  20. Hammond MM, Neff NL, Farr JL et al. (2011) Predictors of individual-level innovation at work: a meta-analysis. Psychol Aesthet Crea 5(1):90–105. https://doi.org/10.1037/a0018556 · DOI
  21. Han TY, Williams KJ (2008) Multilevel investigation of adaptive performance: individual-and team-level relationships. Group Organ Manag 33(6):657–684. https://doi.org/10.1177/1059601108326799 · DOI
  22. Jabagi N, Croteau A-M, Audebrand LK, Marsan J (2019) Gig-workers’ motivation: thinking beyond carrots and sticks. J Manage Psychol 34(4):192–213. https://doi.org/10.1108/JMP-06-2018-0255 · DOI · Paper page
  23. Janssen O, Van Yperen NW (2004) Employees’ goal orientations, the quality of leader-member exchange, and the outcomes of job performance and job satisfaction. Acad Manag J 47(3):368–384. https://doi.org/10.5465/20159587 · DOI · Paper page
  24. Jundt DK, Shoss MK, Huang JL (2015) Individual adaptive performance in organizations: a review. J Organ Behav 36(S1):S53–S71. https://doi.org/10.1002/job.1955 · DOI
  25. Kamoche K, Pina e Cunha M (2001) Minimal structures: from jazz improvisation to product innovation. Organ Stud 22(5):733–764. https://doi.org/10.1177/0170840601225001 · DOI
  26. Khan NA, Khan AN (2019) What followers are saying about transformational leaders fostering employee innovation via organisational learning, knowledge sharing and social media use in public organisations? Gov Inform Q 36(4):101391. https://doi.org/10.1016/j.giq.2019.07.003 · DOI
  27. Kinowska H, Sienkiewicz ŁJ (2023) Influence of algorithmic management practices on workplace well-being–evidence from European organisations. Inform Technol Peopl 36(8):21–42. https://doi.org/10.1108/ITP-02-2022-0079 · DOI · Paper page
  28. Leybourne SA (2006) Managing improvisation within change management: lessons from UK financial services. Serv Ind J 26(1):73–95. https://doi.org/10.1080/02642060500358886 · DOI
  29. Leybourne S, Sadler-Smith E (2006) The role of intuition and improvisation in project management. Int J Proj Manag 24(6):483–492. https://doi.org/10.1016/j.ijproman.2006.03.007 · DOI
  30. Little TD, Cunningham WA, Shahar G, Widaman KF (2002) To parcel or not to parcel: exploring the question, weighing the merits. Struct Equ Model 9(2):151–173. https://doi.org/10.1207/S15328007SEM0902_1 · DOI · Paper page
  31. Liu F, Li P, Taris TW, Peeters MC (2022) Creative performance pressure as a double‐edged sword for creativity: the role of appraisals and resources. Hum Resour Manag 61(6):663–679. https://doi.org/10.1002/hrm.22116 · DOI
  32. Liu X, Qi C, Liu Y et al. (2023) High-quality growth in rural China: systems-based analysis of digital entrepreneurial ecosystems. J Organ End User Com 35(1):1–23. https://doi.org/10.4018/JOEUC.332063 · DOI
  33. Magni M, Proserpio L, Hoegl M, Provera B (2009) The role of team behavioral integration and cohesion in shaping individual improvisation. Res Policy 38(6):1044–1053. https://doi.org/10.1016/j.respol.2009.03.004 · DOI
  34. Meijerink J, Bondarouk T (2023) The duality of algorithmic management: toward a research agenda on HRM algorithms, autonomy and value creation. Hum Resour Manag R 33(1):100876. https://doi.org/10.1016/j.hrmr.2021.100876 · DOI
  35. Miner AS, Bassoff P, Moorman C (2001) Organizational improvisation and learning: a field study. Admin Sci Quart 46:304–337. https://doi.org/10.2307/2667089 · DOI
  36. Parent-Rocheleau X, Parker SK, Bujold A, Gaudet MC (2023) Creation of the algorithmic management questionnaire: A six‐phase scale development process. Hum Resour Manag. https://doi.org/10.1002/hrm.22185 · DOI
  37. Park S, Park S (2019) Employee adaptive performance and its antecedents: review and synthesis. Hum Resour Dev Rev 18(3):294–324. https://doi.org/10.1177/1534484319836315 · DOI
  38. Pavlou PA, El Sawy OA (2010) The “third hand”: IT-enabled competitive advantage in turbulence through improvisational capabilities. Inform Syst Res 21(3):443–471. https://doi.org/10.1287/isre.1100.0280 · DOI
  39. Prajogo DI, Ahmed PK (2006) Relationships between innovation stimulus, innovation capacity, and innovation performance. R&d Manage 36(5):499–515. https://doi.org/10.1111/j.1467-9310.2006.00450.x · DOI
  40. Pulakos ED, Arad S, Donovan MA, Plamondon KE (2000) Adaptability in the workplace: development of a taxonomy of adaptive performance. J Appl Psychol 85(4):612–624. https://doi.org/10.1037/0021-9010.85.4.612 · DOI
  41. Pulakos ED, Schmitt N, Dorsey DW et al. (2002) Predicting adaptive performance: further tests of a model of adaptability. Hum Perform 15(4):299–323. https://doi.org/10.1207/S15327043HUP1504_01 · DOI
  42. Schafheitle SD, Weibel A, Ebert IL et al. (2020) No stone left unturned? Towards a framework for the impact of datafication technologies on organizational control. Acad Manag Discov 6(3):455–487. https://doi.org/10.5465/amd.2019.0002 · DOI · Paper page
  43. Scott SG, Bruce RA (1994) Determinants of innovative behavior: a path model of individual innovation in the workplace. Acad Manage J 37(3):580–607. https://doi.org/10.5465/256701 · DOI · Paper page
  44. Shalley CE, Gilson LL (2004) What leaders need to know: a review of social and contextual factors that can foster or hinder creativity. Leadership Quart 15(1):33–53. https://doi.org/10.1016/j.leaqua.2003.12.004 · DOI
  45. Shin D, Rasul A, Fotiadis A (2022) Why am I seeing this? Deconstructing algorithm literacy through the lens of users. Internet Res 32(4):1214–1234. https://doi.org/10.1108/INTR-02-2021-0087 · DOI
  46. Shu Q, Tu Q, Wang K (2011) The impact of computer self-efficacy and technology dependence on computer-related technostress: a social cognitive theory perspective. Int J Hum-Comput Int 27(10):923–939. https://doi.org/10.1080/10447318.2011.555313 · DOI · Paper page
  47. Sue-Chan C, Hempel PS (2016) The creativity-performance relationship: how rewarding creativity moderates the expression of creativity. Hum Resour Manag 55(4):637–653. https://doi.org/10.1002/hrm.21682 · DOI
  48. Tierney P, Farmer SM (2002) Creative self-efficacy: its potential antecedents and relationship to creative performance. Acad Manag J 45(6):1137–1148. https://doi.org/10.5465/3069429 · DOI · Paper page
  49. Tomczak DL, Lanzo LA, Aguinis H (2018) Evidence-based recommendations for employee performance monitoring. Bus Horizons 61(2):251–259. https://doi.org/10.1016/j.bushor.2017.11.006 · DOI · Paper page
  50. Tomprou M, Lee MK (2022) Employment relationships in algorithmic management: a psychological contract perspective. Comput Hum Behav 126:106997. https://doi.org/10.1016/j.chb.2021.106997 · DOI
  51. Vera D, Crossan M (2005) Improvisation and innovative performance in teams. Organ Sci 16(3):203–224. https://doi.org/10.1287/orsc.1050.0126 · DOI
  52. Wallace JC, Butts MM, Johnson PD et al. (2016) A multilevel model of employee innovation: understanding the effects of regulatory focus, thriving, and employee involvement climate. J Manag 42(4):982–1004. https://doi.org/10.1177/0149206313506462 · DOI
  53. Weick KE (1998) Introductory essay-improvisation as a mindset for organizational analysis. Organ Sci 9(5):543–555. https://doi.org/10.1287/orsc.9.5.543 · DOI · Paper page
  54. Williams LJ, Vandenberg RJ, Edwards JR (2009) Structural equation modeling in management research: a guide for improved analysis. Acad Manag Ann 3:543–604. https://doi.org/10.1080/19416520903065683 · DOI
  55. Xia Y, Liu X, Wang X et al. (2023) The power of role models in a team: the impact of lead entrepreneur’s digital leadership on digital entrepreneurial success. Inform Process Manag 60(6):103498. https://doi.org/10.1016/j.ipm.2023.103498 · DOI

Metadata

Authors
Liu, M., Lan, Y., Liu, Z., Liu, M., & Xia, Y.
Affiliations
  • Qingdao University (CN)
  • Shandong University (CN)
Corresponding author
Xia, Yuhuan
ORCID
Venue
Humanities and Social Sciences Communications
Publisher
Springer Science and Business Media LLC
Published
2024-07-26
Volume
11
Issue
1
ISSN
  • 2055-1045 (ISSN-L)
  • 2662-9992
DOI
10.1057/s41599-024-03453-z
OpenAlex
W4401055800
Cited by
15
References
8
Citations by year
2026: 10 · 2025: 4 · 2024: 1
FWCI
7.48
Type
journal article
Language
en
Open access
Licence
Locations
  • Humanities and Social Sciences Communications (publishedVersion, cc-by)
  • RePEc: Research Papers in Economics (submittedVersion)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
Topics
  • Social Sciences › Business, Management and Accounting › Organizational Behavior and Human Resource Management › AI and HR Technologies
  • Social Sciences › Business, Management and Accounting › Organizational Behavior and Human Resource Management › Job Satisfaction and Organizational Behavior
  • Social Sciences › Sociology and Political Science › Digital Economy and Work Transformation
Keywords
algorithmic management, algorithmic dependence, ability-motivation-opportunity theory, workplace automation

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