Ahmad, T. orcid.org/0000-0003-0765-7059 and Van Looy, A. orcid.org/0000-0002-7992-1528 (2021) Development and testing of an explorative BPM acceptance model: insights from the COVID-19 pandemic. PLOS ONE, 16 (11). e0259226. ISSN 1932-6203
Abstract
When emerging technologies transform an organization’s way of working, explorative business process management (BPM) becomes a new challenge. Although digital innovations can boost process efficacy and business productivity, employees do not necessarily accept the implied work changes. We therefore looked at the increased digitalization efforts during the COVID-19 lockdowns, during which employees were forced to drastically rethink work by heavily depending on technology for communication and almost all business tasks. This global setting allowed us to scrutinize disruptive work changes and how employees can cope with disruptive work adaptations. We also looked into the explorative skillset needed to adapt to these changes. To theorize about an explorative BPM acceptance model, eleven hypotheses were supported based on a solid theoretical foundation. We followed a quantitative research design using partial least squares for structural equation modeling (PLS-SEM) at the university administration settings in two regions, including purposive sampling. Data analysis covered both a measurement model assessment and structural model assessment. Our findings reveal that employees’ perceived work modalities, feeling creative and feeling flexible are more promising features than perceived influence and attitude related to explorative work and skill development. We also offer novel insights into explorative business process management (BPM) skills, and which skills are more productive in uncertain or dynamic working conditions. This research is a learning path for managers struggling with flexible or competitive business environments, and more specifically to facilitate employee willingness.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2021 Ahmad, Van Looy. This is an Open Access article distributed under the terms of the Creative Commons Attribution Licence (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
Keywords: | Adult; Aged; Algorithms; COVID-19; Commerce; Communicable Disease Control; Creativity; Employment; Female; Humans; Learning; Least-Squares Analysis; Male; Middle Aged; Models, Organizational; Outcome and Process Assessment, Health Care; Pandemics; SARS-CoV-2; Technology; Young Adult |
Dates: |
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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: | 05 Nov 2024 16:40 |
Last Modified: | 05 Nov 2024 16:40 |
Published Version: | http://dx.doi.org/10.1371/journal.pone.0259226 |
Status: | Published |
Publisher: | Public Library of Science (PLoS) |
Refereed: | Yes |
Identification Number: | 10.1371/journal.pone.0259226 |
Related URLs: | |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:219174 |