Lending Legitimacy to Corporate Digital Responsibility: Trust in Firm versus Government Regulation of Artificial Intelligence Services

Abstract

Despite the expanding discourse on corporate digital responsibility (CDR), service firms are not perceived as using AI responsibly. Consequently, customers prefer governments more than firms to regulate AI, whereas AI service firms must strive to achieve legitimacy among customers. To address the dearth of relevant research, we conducted a multimethod investigation comprising four studies. The analysis of multinational survey data and a Facebook Ads experiment showed that customers’ concern about AI (“AI concern”) increases their preference for government regulation versus firms’ self-regulation of AI. In the nine countries sampled, the preference for government regulation was stronger in materialist (vs. post-materialist) cultures and where regulatory quality and technology use were high, but weaker where rule-of-law was high. Subsequently, we examined whether signaling CDR (as self-regulation) and compliance with government regulation mitigate the negative downstream impact of AI concern. When interacting with a custom-built service chatbot, participants’ AI concern reduced their willingness to share data. However, this effect was attenuated by signaling compliance with government regulation (EU AI Act), which also decreased customers’ perceived vulnerability. Hence, rather than positioning CDR efforts solely as self-regulation, AI service firms can build legitimacy by proactively, voluntarily, and explicitly incorporating government regulations into their CDR implementation.

Publication DOI: https://doi.org/10.1177/10946705251345097
Divisions: College of Business and Social Sciences > Aston Business School
Aston University (General)
Additional Information: Copyright © The Author(s), 2025. This accepted manuscript version is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License [https://creativecommons.org/licenses/by-nc-nd/4.0/]. The original paper can be found at: Yoganathan, V., Osburg, V.-S., & Janakiraman, N. (2025). Lending Legitimacy to Corporate Digital Responsibility: Trust in Firm Versus Government Regulation of Artificial Intelligence Services. Journal of Service Research, 0(0). https://doi.org/10.1177/10946705251345097
Uncontrolled Keywords: AI concern,AI ethics,legitimacy gap,signaling,Information Systems,Sociology and Political Science,Organizational Behavior and Human Resource Management
Publication ISSN: 1552-7379
Last Modified: 21 Jul 2025 07:27
Date Deposited: 18 Jul 2025 09:01
Full Text Link:
Related URLs: http://www.scop ... tnerID=8YFLogxK (Scopus URL)
https://journal ... 946705251345097 (Publisher URL)
PURE Output Type: Article
Published Date: 2025-06-25
Published Online Date: 2025-06-25
Accepted Date: 2025-05-08
Authors: Yoganathan, Vignesh (ORCID Profile 0000-0002-9285-4702)
Osburg, Victoria Sophie
Janakiraman, Narayan

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