The effects of employer SNS motioning on employee perceived privacy violation, procedural justice, and leave intention

Hung Yue Suen*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

5 Citations (Scopus)


Purpose: The purpose of this paper is to propose a model to understand how and when employees’ perceived privacy violations and procedural injustice interact to predict intent to leave in the context of the use of social networking sites (SNSs) monitoring. Design/methodology/approach: This study was conducted in a field setting of Facebook to frame the hypotheses in a structural equation model with partial least squares-structural equation modeling. Variables were measured empirically by administering questionnaires to full-time employed Facebook users who had experienced SNS monitoring. Findings: The results showed that when an employee believed that he/she had more ability to control his/her SNS information, he/she was less likely to perceive that his/her privacy had been invaded; and when an employee believed that the transparency of the SNS data collection process was higher, he or she was more likely to perceive procedural justice in SNS monitoring. Research limitations/implications: This research draws attention to the importance of intent to leave in the absence of perceived procedural justice under SNS monitoring, and the partial mediation of the perception of justice or injustice by perceived privacy violations. Practical implications: For employers, the author recommends that employers come to know how to conduct SNS monitoring and data collection with limited risk of employee loss. Social implications: For employees, the author suggests that SNS users learn how to control their SNS information and make sure to check their privacy settings on the SNS that they use frequently. Originality/value: This study provided an initial examination and bridged the gap between employer use of SNS monitoring and employee reactions by opening a mediating and moderating black box that has rarely been assessed.

Original languageEnglish
Pages (from-to)1153-1169
Number of pages17
JournalIndustrial Management and Data Systems
Issue number6
Publication statusPublished - 2018 Aug 13


  • Electronic monitoring
  • Facebook
  • Intention to leave
  • Privacy violation
  • Procedural justice
  • Social networking sites (SNS)

ASJC Scopus subject areas

  • Management Information Systems
  • Industrial relations
  • Computer Science Applications
  • Strategy and Management
  • Industrial and Manufacturing Engineering


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