Seeing Where You Stand: From Performance Feedback to Performance Transparency
Abstract
Advanced technology is enabling organizations to continuously track employee activities, generating and reporting transparent performance data that increasingly replace traditional manager-led performance feedback reviews. Using a field experiment at a large service organization, we examine the effect of replacing performance feedback reviews with system-generated transparent performance data on employees’ productivity. Consistent with prior theory, we find a positive effect of transparent performance data on productivity, but it is driven by employees avoiding the least productive behaviors rather than increasing the most productive ones. We also investigate two novel relational moderators of the relationship between transparent performance data and productivity–supervisor support (vertical relation) and social comparison orientation (horizontal relation)–which we believe are understudied, given their increased importance in more transparent performance environments. We find that both moderate the positive effect: employees with low supervisor support and low social comparison orientation benefit most from transparent performance data, suggesting that it acts as a substitute for both managers and informal social comparison. We discuss the implications for theory and for the practice of designing transparent feedback systems.
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Algorithmic feedback increases workers' productivity when displaying performance ratings that are understandable and rely on transparent data.
“In the same vein, algorithmic feedback has been found to increase workers' productivity when displaying performance ratings that are understandable and rely on transparent data (Bernstein & Li, 2017).”
From Algorithms as work designers: How algorithmic management influences the design of jobs (2022) · cites this paper as Bernstein & Li, 2017
Algorithmic performance management has a mixed (positive and negative) association with role clarity.
“Role clarity (+ / -)”
From Algorithms as work designers: How algorithmic management influences the design of jobs (2022) · cites this paper as Bernstein and Li (2017)
Cites
Gibbons, F. X., & Buunk, B. P. (1999) · Journal of Personality and Social Psychology · doi:10.1037/0022-3514.76.1.129 · Cited by 1,813 · see citing works
Feedback as an individual resource: Personal strategies of creating information
Ashford, S. J., & Cummings, L. L. (1983) · Organizational Behavior and Human Performance · doi:10.1016/0030-5073(83)90156-3 · Cited by 1,309 · see citing works
SELF-REGULATION FOR MANAGERIAL EFFECTIVENESS: THE ROLE OF ACTIVE FEEDBACK SEEKING.
Ashford, S. J., & Tsui, A. S. (1991) · Academy of Management Journal · doi:10.5465/256442 · Cited by 774 · see citing works
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Algorithms as work designers: How algorithmic management influences the design of jobs
Parent-Rocheleau, X., & Parker, S. K. (2022) · Human Resource Management Review · doi:10.1016/j.hrmr.2021.100838 · Cited by 512 · see citing works
- Authors
- Bernstein, E. S., & Li, S.
- Affiliations
- Harvard University (US)
- Venue
- Academy of Management Proceedings
- Publisher
- Academy of Management
- Published
- 2017-08
- Volume
- 2017
- Issue
- 1
- Pages
- 14752
- ISSN
- 0065-0668 (ISSN-L)
- 2151-6561
- OpenAlex
- W2766809812
- Cited by
- 12
- References
- 3
- Citations by year
- 2026: 1 · 2025: 1 · 2023: 1 · 2022: 1 · 2021: 1 · 2020: 2 · 2019: 3 · 2018: 1 · 2016: 1
- Type
- conference abstract
- Language
- en
- Open access
- closed
- Locations
- Academy of Management Proceedings (publishedVersion)
- Topics
- Social Sciences › Business, Management and Accounting › Management Information Systems › Accounting and Organizational Management
- Social Sciences › Business, Management and Accounting › Organizational Behavior and Human Resource Management › Job Satisfaction and Organizational Behavior
- Social Sciences › Human Factors and Ergonomics › Employee Performance and Management
- Keywords
- performance transparency, performance feedback, labor productivity, supervisor support, social comparison orientation, service employees, feedback system design
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