Internal Transparency of the System and Dependence on Creativity: Bias Effects on Performance Evaluation and Bonuses

19 Pages Posted: 13 May 2025

See all articles by Ilse Maria Beuren

Ilse Maria Beuren

affiliation not provided to SSRN

Daniele Cristina Bernd

Universidade Federal de Uberlândia

Abstract

This article examines the effects of internal transparency of the performance measurement system (PMS) and the dependence on creativity on bias behaviors in performance evaluation and bonus determination. A 2x2 (4-case) between-subjects online experiment was conducted with undergraduate accounting and business students, presuming that performance evaluations can be influenced by (high vs. low) internal transparency of the PMS and (high vs. low) dependence on creativity. The results indicate that extremes in configurations of the PMS and dependence on creativity are prone to evaluator biases. High internal transparency of the PMS and high dependence on creativity leads to greater centrality bias (compression) in bonus allocation, whereas low transparency and low dependence on creativity result in lower centrality bias (differentiation). The interaction between these configurations demonstrates an intensification of biases. These findings have theoretical and practical implications, as they identify determinants of bias in bonus allocations during performance evaluations, extend discussions on internal transparency in enabling formalization of the PMS, and provide evidence of how the design characteristics of the PMS affect managerial bias behaviors during performance evaluation.

Keywords: performance measurement system, Internal transparency, Dependence on creativity, performance evaluation, Bonuses, Bias behaviors

Suggested Citation

Beuren, Ilse Maria and Bernd, Daniele Cristina, Internal Transparency of the System and Dependence on Creativity: Bias Effects on Performance Evaluation and Bonuses. Available at SSRN: https://ssrn.com/abstract=5252438 or http://dx.doi.org/10.2139/ssrn.5252438

Ilse Maria Beuren (Contact Author)

affiliation not provided to SSRN ( email )

Daniele Cristina Bernd

Universidade Federal de Uberlândia ( email )

Av. João Naves de Avila, 2121
Uberlândia, 38400-902
Brazil

Do you have a job opening that you would like to promote on SSRN?

Paper statistics

Downloads
12
Abstract Views
40
PlumX Metrics