How Misattribution of External Factors Can Lead to Biased Human Resource Management

Nikola Frollová

Doctoral thesis

Abstract:

Randomness is not often perceived as a causal factor of the success or failures of employees and their teams. This dissertation shows several consequences of ignoring random shocks for group and individual decision-making and self- assessment. In a series of three studies, I demonstrate how good or bad performance can easily be misinterpreted due to attribution biases such as self- serving bias or preference for maintaining control over the process, which can lead to overconfidence and inadequate attribution of merit. These findings contribute to the fields of performance management evaluation and organizational learning practices by showing the limits of some performance indicators due to bounded rationality problems.

Abstract:

Randomness is not often perceived as a causal factor of the success or failures of employees and their teams. This dissertation shows several consequences of ignoring random shocks for group and individual decision-making and self- assessment. In a series of three studies, I demonstrate how good or bad performance can easily be misinterpreted due to attribution biases such as self- serving bias or preference for maintaining control over the process, which can lead to overconfidence and inadequate attribution of merit. These findings contribute to the fields of performance management evaluation and organizational learning practices by showing the limits of some performance indicators due to bounded rationality problems.

Keywords

overconfidence, self-serving bias, attribution mechanism, pay for luck

Keywords

self-serving bias, attribution mechanism, overconfidence, pay for luck

Language used: English

Date on which the thesis was submitted / produced: 28. 4. 2023

Thesis defence

• Date of defence: 12. 6. 2023
• Supervisor: Petr Houdek
• Reader: Štěpán Bahník, Jakub Procházka

Vysoká škola ekonomická v Praze

Doctoral programme / field:
Ekonomika a management / Podniková ekonomika a management