Information and communication technology overload and social networking service fatigue

A stress perspective

Ae Ri Lee, Soo Min Son, kyung kyu Kim

Research output: Contribution to journalArticle

86 Citations (Scopus)

Abstract

In an always connected communication environment, users of social networking services (SNSs) need to pay continuous attention to the overwhelming volume of social demands from SNSs. These increased energy requirements may cause SNS fatigue, which can lead to physical and psychological strain. Using the transactional theory of stress and coping as the overarching theory, this study regards overload (i.e., stressors) as a core determinant of SNS fatigue (i.e., strain) and identifies three dimensions of overload - information overload, communication overload, and system feature overload. It also includes SNS characteristics as the antecedents of overload. The data used in this study were collected from 201 individuals through online and offline surveys. Our results show that all three dimensions of overload were significant stressors that influence SNS fatigue. Regarding the predictors of overload, the characteristics of the SNS system significantly influenced the features of system overload, while information equivocality positively influences information overload. However, information relevance was not a significant predictor of information overload and information equivocality was not a significant predictor of communication overload.

Original languageEnglish
Article number3638
Pages (from-to)51-61
Number of pages11
JournalComputers in Human Behavior
Volume55
DOIs
Publication statusPublished - 2016 Feb 1

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Social Networking
Social Work
Fatigue
Fatigue of materials
Technology
Communication
Information and Communication Technology
Psychology

All Science Journal Classification (ASJC) codes

  • Arts and Humanities (miscellaneous)
  • Human-Computer Interaction
  • Psychology(all)

Cite this

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Information and communication technology overload and social networking service fatigue : A stress perspective. / Lee, Ae Ri; Son, Soo Min; Kim, kyung kyu.

In: Computers in Human Behavior, Vol. 55, 3638, 01.02.2016, p. 51-61.

Research output: Contribution to journalArticle

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