Are Traditional Performance Reviews Outdated? An Empirical Analysis on Continuous, Real-Time Feedback in the Workplace
Michael Rivera (),
Liangfei Qiu,
Subodha Kumar () and
Tony Petrucci ()
Additional contact information
Michael Rivera: Fox School of Business, Temple University, Philadelphia, Pennsylvania 19122
Subodha Kumar: Fox School of Business, Temple University, Philadelphia, Pennsylvania 19122
Tony Petrucci: Fox School of Business, Temple University, Philadelphia, Pennsylvania 19122
Information Systems Research, 2021, vol. 32, issue 2, 517-540
Abstract:
In order to deliver real-time feedback to support employee development and rapid innovation, many companies are replacing formal, review-based performance management with systems that enable frequent and continuous employee evaluation. Real-time feedback applications enable supervisors and employees to give, seek, and receive competency-based feedback using their computers, smartphones, or other devices. In this study, we examine the role of one such real-time feedback application to understand its effects on employee performance appraisals. First, we find that relationship source (peer, subordinate, or supervisor) impacts real-time feedback: feedback tends to be more critical when it is from supervisors. What is more interesting is the effect of favoritism and retribution in real-time feedback: supervisors adopt tit-for-tat strategies, but peers do not. We also uncover that men rate women higher than men and that women rate men and women similar to how men rate men. In addition, positive real-time feedback has a stronger effect on future ratings than negative feedback. Our findings have direct implications for the design and implementation of performance management systems. Further, we highlight how companies can use information systems to create an innovative human resource operation that delivers flexibility and agility.
Keywords: real-time feedback; performance appraisals; feedback applications; tit-for-tat strategy (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (7)
Downloads: (external link)
http://dx.doi.org/10.1287/isre.2020.0979 (application/pdf)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:inm:orisre:v:32:y:2021:i:2:p:517-540
Access Statistics for this article
More articles in Information Systems Research from INFORMS Contact information at EDIRC.
Bibliographic data for series maintained by Chris Asher ().