Deployment of Algorithms in Management Tasks Reduces Prosocial Motivation

Autor(en)
Armin Granulo, Sara Caprioli, Christoph Fuchs, Stefano Puntoni
Abstrakt

Thanks to advances in artificial intelligence,

firms increasingly deploy algorithms in a wide range of management

tasks (e.g., evaluating workers' performance). Scholars and major political institutions

have therefore called for a better understanding of the behavioral and

psychological consequences of this phenomenon. In this research, we

investigate how deploying algorithms in management tasks affects

prosocial motivation, a crucial dimension of workplace productivity and

social interactions. Across five pre-registered studies (N = 3,153, Mage = 33.96, SDage = 11.89;

51% female), including field and experimental data, we find that

deploying algorithms (vs. humans) in management tasks reduces employees’

prosocial motivation (e.g., the desire to help others). We demonstrate

that this negative effect (i) occurs because management by algorithms

leads to greater objectification of others, (ii) also occurs when

algorithms perform tasks together with human managers, and (iii) depends

on the type of management task algorithms perform. These findings add

another layer to the political, academic, and organizational debate on

algorithmic management.

Organisation(en)
Institut für Marketing und International Business
Externe Organisation(en)
Technische Universität München, Erasmus University Rotterdam
Journal
Computers in Human Behavior
Band
152
ISSN
0747-5632
DOI
https://doi.org/10.1016/j.chb.2023.108094
Publikationsdatum
12-2023
Peer-reviewed
Ja
ÖFOS 2012
502054 Entrepreneurship
Schlagwörter
ASJC Scopus Sachgebiete
Psychology(all), Arts and Humanities (miscellaneous), Human-computer interaction
Link zum Portal
https://ucrisportal.univie.ac.at/de/publications/deployment-of-algorithms-in-management-tasks-reduces-prosocial-motivation(0b445fe2-c21b-4b1c-b458-2ecca6eb282e).html