Different impacts of hedonic and utilitarian personal Internet usage behaviour on well‐being and work engagement : A daily examination

Yolanda Na LI, Kenneth S. LAW, Bingjie YU*, Lin WANG, Dandan LI

*Corresponding author for this work

Research output: Journal PublicationsJournal Article (refereed)peer-review

2 Citations (Scopus)

Abstract

Past research suggests that personal Internet usage (PIU) at work can carry both costs and benefits for employees, but offers no explanation for these mixed results. In this research, we argue that the competing findings might be due to the existence of different types of PIU. We take a daily approach and propose that hedonic PIU (HPIU, i.e. relaxing oneself) benefits employees' end-of-workday well-being and work engagement while utilitarian PIU (UPIU, i.e. solving others' problems) hinders their well-being and work engagement. We test our theorizing using three studies. In Study 1, we summarized previous PIU studies and relied on machine learning methods to classify the 618 PIU activities identified in prior studies. We found that prior research mixed HPIU and UPIU and might reach different conclusions. In Study 2, we condensed the PIU activity list in Study 1 and developed measurement scales of HPIU and UPIU. In Study 3, we analysed 1063 multi-wave daily inputs from 125 employees and found that on a daily basis, HPIU benefits employees' well-being by fostering a state of recovery, while UPIU impedes well-being and work engagement by inducing a state of depletion. Moreover, supervisor support for employees' personal behaviours strengthens the beneficial effect of HPIU.
Original languageEnglish
Pages (from-to)1011-1036
Number of pages26
JournalJournal of Occupational and Organizational Psychology
Volume97
Issue number3
Early online date17 May 2024
DOIs
Publication statusPublished - Sept 2024

Bibliographical note

This work is part of the first author's doctoral thesis. An earlier version of this paper has been presented at the 82th Academy of Management Annual Meeting in Seattle, USA.

Publisher Copyright: © 2024 The Authors. Journal of Occupational and Organizational Psychology published by John Wiley & Sons Ltd on behalf of The British Psychological Society.

Funding

This research was supported by the Research Grants Council of Hong Kong (PI: Yolanda Na Li, project no. 23501920) and Wang Lin's work was supported by the National Natural Science Foundation of China (Grants 72332009 and 72022022).

Keywords

  • machine learning
  • personal Internet usage
  • supervisor support
  • well-being
  • work engagement

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