Humans judge, algorithms nudge: The psychology of behavior tracking acceptance

Roshni Raveendhran and Nathanael J. Fast

Organizational Behavior and Human Decision Processes, 2021, vol. 164, issue C, 11-26

Abstract: This article examines employees’ acceptance of behavior tracking in the workplace. We theorize that people more willingly accept behavior tracking when it is conducted solely by technology (i.e., computer algorithms) rather than by humans. We posit that this is driven by the expectation that human-free tracking feels less judgmental and will, therefore, allow for a greater subjective sense of autonomy. The results of five experiments supported these predictions, revealing that participants were more likely to accept technology-operated than human-operated tracking (Experiments 1–5), an effect driven by reduced concerns about potential negative judgment, which, in turn, increased subjective sense of autonomy (Experiment 2). The stated purpose for tracking (Experiment 3), relation to the human tracker (Experiment 4), and type of behaviors tracked (Experiment 5) did not eliminate the effect. Technology-operated tracking also led to higher anticipation of intrinsic motivation (Experiments 3–4). Implications for research on the future of work are discussed.

Keywords: Technology; Judgment; Sense of autonomy; Behavior tracking; Algorithms (search for similar items in EconPapers)
Date: 2021
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Citations: View citations in EconPapers (6)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:jobhdp:v:164:y:2021:i:c:p:11-26

DOI: 10.1016/j.obhdp.2021.01.001

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