Skip to main navigation Skip to search Skip to main content

Preventing relapse to information technology addiction through weakening reinforcement: A self-regulation perspective

  • Chongyang Chen
  • , Kem Z.K. Zhang
  • , Xiang Gong
  • , Matthew K.O. Lee
  • , Yao Yu Wang
  • Zhejiang University of Finance and Economics
  • Lakehead University
  • City University of Hong Kong
  • Soochow University

Research output: Contribution to journalArticlepeer-review

27 Scopus citations

Abstract

Information technology addicts often exhibit a high rate of relapse, which reflects the failure of previous recovery approaches. However, research on relapse to information technology addiction has been largely neglected, and few means have been developed to address this issue. To fill this research gap, this study identifies essential factors for preventing relapse to information technology addiction with a self-regulation perspective. A longitudinal online survey is conducted. The results show that mindfulness and self-control contribute to reduced urges, which, in turn, prevent relapse. This study provides useful insights by expanding our understandings of relapse to information technology addiction.

Original languageEnglish
Article number103485
JournalInformation and Management
Volume58
Issue number5
DOIs
StatePublished - Jul 2021

Keywords

  • Information technology addiction
  • Reinforcement mechanism
  • Relapse
  • Self-control
  • Self-regulation, mindfulness

Fingerprint

Dive into the research topics of 'Preventing relapse to information technology addiction through weakening reinforcement: A self-regulation perspective'. Together they form a unique fingerprint.

Cite this