Ahmad, T. orcid.org/0000-0003-0765-7059 and Van Looy, A. orcid.org/0000-0002-7992-1528 (2025) Process-technology fit determinants for predicting business process performance. Information Systems Management. ISSN: 1058-0530
Abstract
The rapid pace of digital technologies triggers a range of process improvements through more innovative initiatives. However, there is a dire need to investigate the fit or alignment between those technologies and business process needs. This study aims to find which determinants have a significant role in achieving a process-technology fit. For this purpose, we follow a quantitative approach to identify beneficial combinations of PTF determinants based on an international survey following fsQCA and PLS-SEM methods. The findings reveal that determinants better help align process needs with technology. The PTF framework helps professionals improve business processes by understanding organizational needs.
Metadata
Item Type: | Article |
---|---|
Authors/Creators: |
|
Copyright, Publisher and Additional Information: | © 2025 Taylor & Francis Group, LLC |
Keywords: | Digital process innovation; process-technology fit; technology transformation; process improvement; ambidexterity |
Dates: |
|
Institution: | The University of Sheffield |
Academic Units: | The University of Sheffield > Faculty of Social Sciences (Sheffield) > Management School (Sheffield) |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 29 Aug 2025 11:09 |
Last Modified: | 29 Aug 2025 11:09 |
Status: | Published online |
Publisher: | Informa UK Limited |
Refereed: | Yes |
Identification Number: | 10.1080/10580530.2025.2520234 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:230784 |