Understanding negative technological use from a self-regulation perspective

Shih-Wei Chou, Ming-Chia Hsieh, Hui-Chun Pan and Xiao-Min Ye

Behaviour and Information Technology, 2025, vol. 44, issue 12, 2929-2948

Abstract: Effective ways of prevention of addictive behaviours such as IT addiction remain absent. This study fills this gap by developing a model that builds on the self-regulation theory. This model seeks to understand how addictive symptoms are affected by two-stage of self-regulation approaches and IT mindfulness. We conceptualise addictive symptoms as both urge and addiction. Self-regulation approaches entail self-regulation strategies and responses. This study theorises strategies as both personal self-regulation (PSR) and social self-regulation (SSR), and responses as both cognitive emotion preoccupation (CEP) and cognitive behavioural control (CBC). The proposed model is largely supported by the empirical data, showing that IT mindfulness exerts a significant impact on self-regulation strategies, which in turn affect self-regulation responses and subsequent addictive symptoms. Besides, the mediation test illustrates that CEP has a mediation effect on the relationship between CBC and addictive symptoms. This study contributes to the literature by theorising a nomological network of self-regulation for understanding the relationship between IT mindfulness, two-stage self-regulation approaches, and negative IT use. We provide implications for both theory and practice.

Date: 2025
References: Add references at CitEc
Citations:

Downloads: (external link)
http://hdl.handle.net/10.1080/0144929X.2024.2421447 (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:44:y:2025:i:12:p:2929-2948

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

DOI: 10.1080/0144929X.2024.2421447

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 ().