Artikel

AI invading the workplace: negative emotions towards the organizational use of personal virtual assistants

Personal virtual assistants (PVAs) based on artificial intelligence are frequently used in private contexts but have yet to find their way into the workplace. Regardless of their potential value for organizations, the relentless implementation of PVAs at the workplace is likely to run into employee resistance. To understand what motivates such resistance, it is necessary to investigate the primary motivators of human behavior, namely emotions. This paper uncovers emotions related to organizational PVA use, primarily focusing on threat emotions. To achieve our goal, we conducted an in-depth qualitative study, collecting data from 45 employees in focus-group discussions and individual interviews. We identified and categorized emotions according to the framework for classifying emotions Beaudry and Pinsonneault (2010) designed. Our results show that loss emotions, such as dissatisfaction and frustration, as well as deterrence emotions, such as fear and worry, constitute valuable cornerstones for the boundaries of organizational PVA use.

Language
Englisch

Bibliographic citation
Journal: Electronic Markets ; ISSN: 1422-8890 ; Volume: 32 ; Year: 2021 ; Issue: 1 ; Pages: 123-138 ; Berlin, Heidelberg: Springer

Classification
Ingenieurwissenschaften und Maschinenbau
Technological Change: Choices and Consequences; Diffusion Processes
Subject
Artificial intelligence
Emotions
Personal virtual assistants
Interview study
Technology aversion
Appraisal theory

Event
Geistige Schöpfung
(who)
Hornung, Olivia
Smolnik, Stefan
Event
Veröffentlichung
(who)
Springer
(where)
Berlin, Heidelberg
(when)
2021

DOI
doi:10.1007/s12525-021-00493-0
Last update
10.03.2025, 11:44 AM CET

Data provider

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ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. If you have any questions about the object, please contact the data provider.

Object type

  • Artikel

Associated

  • Hornung, Olivia
  • Smolnik, Stefan
  • Springer

Time of origin

  • 2021

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