Augmented compliance intention through the appropriation of compliance support systems
Sang Soo Kim and
Yong Jin Kim
Behaviour and Information Technology, 2022, vol. 41, issue 15, 3264-3280
Abstract:
Under today’s complex and ever-changing regulatory environment, only forcing employees into compliance by wielding control or imposing punishment does not automatically lead to improved compliance awareness and performance. Based on the adaptive structuration theory and theory of planned behaviour, this study investigated the effect of Compliance Support Systems (CSS) appropriation on compliance intention. A two-stage survey was conducted to see whether the continuous use of CSS enhances users’ intention to comply with laws and regulations. This approach comes under longitudinal research because it seeks to discover the causality between variables by observing research subjects at different times. The PLS-SEM analysis verified the direct and indirect impact of compliance behavioural beliefs and social pressure on compliance intention. In particular, the two factors were found to affect CSS appropriation by way of CSS quality and compliance knowledge. The proposed structural model was developed to compare the gaps of perception in different measurement times. Therefore, the findings highlight a significant role of CSS appropriation in raising compliance intention and provide practical insights by presenting the factors that enhance employees’ positive and voluntary engagement in compliance behaviour.
Date: 2022
References: Add references at CitEc
Citations:
Downloads: (external link)
http://hdl.handle.net/10.1080/0144929X.2021.1978550 (text/html)
Access to full text is restricted to subscribers.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:taf:tbitxx:v:41:y:2022:i:15:p:3264-3280
Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/tbit20
DOI: 10.1080/0144929X.2021.1978550
Access Statistics for this article
Behaviour and Information Technology is currently edited by Dr Panos P Markopoulos
More articles in Behaviour and Information Technology from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().