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Acceptance of artificial intelligence as organizational leadership: A survey

Petrat, Deborah ; Yenice, Ilker ; Bier, Lukas ; Subtil, Ilka (2022)
Acceptance of artificial intelligence as organizational leadership: A survey.
In: TATuP: · Zeitschrift für Technikfolgenabschätzung in Theorie und Praxis | Journal for Technology Assessment in Theory and Practice, 31 (2)
doi: 10.14512/tatup.31.2.64
Article, Bibliographie

Abstract

In times of digital transformation and in an increasingly fastpaced corporate landscape, there is an increasing debate among company executives as to whether and how artificial intelligence (AI) can take over management tasks or even replace managers as such. This article provides an initial contribution to this discussion by examining the potential user base’s acceptance levels of and expectations for the adoption of AI technology in organizational leadership roles. For this purpose, employees and managers (N = 74) were surveyed in an online questionnaire that presented three hypothetical scenarios in which AI performs certain managerial tasks, featuring different levels of interaction with potential users. An ANOVA analysis showed that the highest acceptance levels among the scenarios were achieved for AI managers that operate as (digital) cognitive assistants, thus giving support to executives in team supervision and providing a data-driven feedback culture.

Item Type: Article
Erschienen: 2022
Creators: Petrat, Deborah ; Yenice, Ilker ; Bier, Lukas ; Subtil, Ilka
Type of entry: Bibliographie
Title: Acceptance of artificial intelligence as organizational leadership: A survey
Language: English
Date: 18 July 2022
Publisher: oekom
Journal or Publication Title: TATuP: · Zeitschrift für Technikfolgenabschätzung in Theorie und Praxis | Journal for Technology Assessment in Theory and Practice
Volume of the journal: 31
Issue Number: 2
DOI: 10.14512/tatup.31.2.64
URL / URN: https://www.tatup.de/index.php/tatup/article/view/6973
Abstract:

In times of digital transformation and in an increasingly fastpaced corporate landscape, there is an increasing debate among company executives as to whether and how artificial intelligence (AI) can take over management tasks or even replace managers as such. This article provides an initial contribution to this discussion by examining the potential user base’s acceptance levels of and expectations for the adoption of AI technology in organizational leadership roles. For this purpose, employees and managers (N = 74) were surveyed in an online questionnaire that presented three hypothetical scenarios in which AI performs certain managerial tasks, featuring different levels of interaction with potential users. An ANOVA analysis showed that the highest acceptance levels among the scenarios were achieved for AI managers that operate as (digital) cognitive assistants, thus giving support to executives in team supervision and providing a data-driven feedback culture.

Divisions: 16 Department of Mechanical Engineering
16 Department of Mechanical Engineering > Ergonomics (IAD)
Date Deposited: 18 Jul 2022 05:29
Last Modified: 18 Jul 2022 05:29
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