EconPapers    
Economics at your fingertips  
 

More honour'd in the breach: predicting non-compliant behaviour through individual, situational and habitual factors

Alex Leering, Lidwien van de Wijngaert and Shahrokh Nikou

Behaviour and Information Technology, 2022, vol. 41, issue 3, 519-534

Abstract: A major issue in the digital age is how to safeguard the security of the massive amount of data being stored, processed and transferred through digital channels. Organisational communication research into data security shows that people are the weakest link. Non-compliant behaviour can lead to security breaches. Existing studies have focused above all on how employees can be motivated to comply with data security procedures. However, focusing on desirable behaviour does not explain why people often ignore security regulations. In addition, existing research tends to focus primarily on self-reported attitudes and perceptions, which can give a distorted impression of people’s actual behaviour. In this paper, we address these issues by combining individual, habitual and situational factors to explain non-compliant behaviour in a vignette study, using SmartPLS to analyse survey data from 651 subjects in a large Dutch government organisation. The results indicate that bad habits play a significant role in non-compliant behaviour. This behaviour is fuelled by situational factors like time pressure, while a lack of self-efficacy also increases non-compliant behaviour. Based on these results, a communication strategy that addresses bad habits in a situational context may provide an alternative way to improve people’s compliant behaviour.

Date: 2022
References: Add references at CitEc
Citations:

Downloads: (external link)
http://hdl.handle.net/10.1080/0144929X.2020.1822444 (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:3:p:519-534

Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/tbit20

DOI: 10.1080/0144929X.2020.1822444

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 ().

 
Page updated 2025-03-20
Handle: RePEc:taf:tbitxx:v:41:y:2022:i:3:p:519-534