Bridging Perspectives : Understanding Perceptions of Digital Transformation

Title data

Buck, Christoph ; Heidenreich, Tim ; Jabbari, Araz ; Wurzer, Elisabeth ; Desouza, Kevin ; Templier, Mathieu:
Bridging Perspectives : Understanding Perceptions of Digital Transformation.
In: Proceedings of the 46th International Conference on Information Systems (ICIS). - Nashville, USA , 2025

Official URL:

Abstract in another language

Digital transformation (DT) has become a priority for organizations navigating rapidly evolving technologies. Yet, DT initiatives often fall short due to misalignments in how individuals across the organization perceive and engage with transformation. Drawing on Social Cognitive Theory, this exploratory study examines how employee perceptions differ across distinct groups with varying personal and environmental contexts, focusing on three key dimensions: individual capabilities, perceived opportunities, and environmental drivers of DT. Based on perceptions of 264 employees from five firms, we identify patterns of perceptual differences. Our findings reveal potential alignment gaps, varying goals, and implementation challenges, therefore contributing to the understanding of DT as a change process. By highlighting the importance of accounting for diverse perspectives in shaping effective, human-centered transformation strategies, this study responds to organizational challenges posed by digital disruption.

Further data

Item Type:	Article in a book
Refereed:	Yes
Keywords:	Digital Transformation; Social Cognitive Theory; Perceptual Differences; Incumbent Companies
Institutions of the University:	Faculties > Faculty of Law, Business and Economics > Department of Business Administration Research Institutions Research Institutions > Affiliated Institutes Research Institutions > Affiliated Institutes > Branch Business and Information Systems Engineering of Fraunhofer FIT Research Institutions > Affiliated Institutes > FIM Research Center for Information Management
Result of work at the UBT:	No
DDC Subjects:	000 Computer Science, information, general works > 004 Computer science 300 Social sciences > 330 Economics
Date Deposited:	24 Nov 2025 10:00
Last Modified:	24 Nov 2025 10:00
URI:	https://eref.uni-bayreuth.de/id/eprint/95293