JOURNAL ARTICLE

The Impacts of Internet Monitoring on Employees' Cyberloafing and Organizational Citizenship Behavior: A Longitudinal Field Quasi-Experiment.

  • Published In: Information Systems Research (INFORMS), 2024, v. 35, n. 3. P. 1175 1 of 3

  • Database: Business Source Ultimate 2 of 3

  • Authored By: Jiang, Hemin; Siponen, Mikko; Jiang, Zhenhui; Tsohou, Aggeliki 3 of 3

Abstract

This article investigates the effects of internet monitoring on employees' cyberloafing—defined as non-work-related internet use during work hours—and organizational citizenship behavior (OCB), which refers to voluntary, extra-role behaviors beneficial to the organization. Through a longitudinal field quasi-experiment at a Portuguese software company, the study found that internet monitoring initially reduced cyberloafing by increasing employees' concerns about potential formal sanctions and information privacy risks. However, this deterrent effect diminished after four months without actual sanctions being enforced, while the negative impact on employees’ OCB, particularly OCB directed toward the organization (OCBO), persisted longer. The research highlights that both sanction concerns and information privacy concerns mediate the reduction in cyberloafing, whereas trust in the organization mediates the decline in OCBO. The findings suggest that internet monitoring may have unintended side effects on employee behavior and recommend using monitoring primarily as a feedback tool rather than solely as a deterrent mechanism.

Additional Information

  • Source:Information Systems Research (INFORMS). 2024/09, Vol. 35, Issue 3, p1175
  • Document Type:Article
  • Subject Area:Business and Management
  • Publication Date:2024
  • ISSN:1047-7047
  • DOI:10.1287/isre.2020.0216
  • Accession Number:180116918
  • Copyright Statement:Copyright of Information Systems Research (INFORMS) is the property of INFORMS: Institute for Operations Research & the Management Sciences and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

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