Lacity, Mary, Willcocks, Leslie 
ORCID: 0000-0003-2572-9554 and Gozman, Daniel
(2021)
Influencing information systems practice: The action principles approach applied to robotic process and cognitive automation.
Journal of Information Technology, 36 (3).
pp. 216-240.
ISSN 0268-3962
Abstract
The article formalizes an action principles approach for investigating and influencing the adoption of emerging information systems phenomena, particularly for new technologies. It draws upon recent research into robotic process and cognitive automation to demonstrate the concepts and methodology for a further mode of research into practice that is distinguishable from action research and design science. The authors present definitions, research assumptions, and evaluation criteria and provide a six-step process for generating a set of action principles, updatable by new empirical evidence. The process is illustrated by research into 22 automation cases that eventually arrived at 39 action principles for effective deployment of the automation technologies under review. The major objective is to provide guidelines to prospective researchers. A secondary objective is to provide major insights into the management of robotic process and cognitive automation. This provides opportunities for further theorization and research by academics, and more considered action by practitioners. The authors also discuss the value and limitations of the action principles approach, and how the knowledge generated can be disseminated. The article offers a way of doing research on the applied side of information systems that is timely, does justice to the phenomena under investigation, and provides insights for multiple parties.
| Item Type: | Article |
|---|---|
| Official URL: | https://journals.sagepub.com/home/jin |
| Additional Information: | © 2021 Association for Information Technology Trust |
| Divisions: | Management |
| Subjects: | Q Science > QA Mathematics > QA76 Computer software T Technology > T Technology (General) |
| Date Deposited: | 06 Oct 2023 10:33 |
| Last Modified: | 17 Apr 2024 17:30 |
| URI: | http://eprints.lse.ac.uk/id/eprint/120378 |
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