How Perceived Lack of Benevolence Harms Trust of Algorithmic Management

69 Pages Posted: 24 Oct 2022

See all articles by Mingyu Li

Mingyu Li

The Hong Kong University of Science and Technology

T. Bradford Bitterly

The Hong Kong University of Science and Technology

Date Written: October 24, 2022

Abstract

Across four pre-registered experiments and one supplemental study (N = 2,100), we demonstrate that benevolence is an important, but previously neglected, predictor of trust in algorithmic management. We demonstrate that perceived benevolence of algorithmic managers is significantly lower than that of human managers, which harms trust in algorithmic management, and that these effects are robust when we control for perceived ability and integrity. Although individuals frequently attribute abusive working conditions to algorithmic management, we disentangle the effects of abusive management and algorithmic management. We find that algorithmic and human managers are equally distrusted in abusive work environments, but in supportive work environments, algorithmic managers are seen as lower in benevolence and trusted less than human managers. Combined, these findings deepen our understanding of trust and provide practical advice on the adoption of algorithmic management.

Keywords: Trust; Benevolence; Emotions; Algorithmic Management

Suggested Citation

Li, Mingyu and Bitterly, T. Bradford, How Perceived Lack of Benevolence Harms Trust of Algorithmic Management (October 24, 2022). Available at SSRN: https://ssrn.com/abstract=4256486 or http://dx.doi.org/10.2139/ssrn.4256486

Mingyu Li (Contact Author)

The Hong Kong University of Science and Technology ( email )

5017 LSK Business Building
The Hong Kong University of Science and Technology
Hong Kong, KW
Hong Kong

T. Bradford Bitterly

The Hong Kong University of Science and Technology ( email )

Hong Kong

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