Employees’ nonwork use of information technology (IT), or cyberslacking, is of growing concern due to its erosion of job performance and other negative organizational consequences. Research on cyberslacking antecedents has drawn on diverse theoretical perspectives, resulting in the lack of a cohesive explanation of cyberslacking. Further, prior studies have generally overlooked IT-specific variables. To address cyberslacking problems in organizations, as well as research gaps in the literature, we used a combination of a literature-based approach and a qualitative inquiry to develop a model of cyberslacking that includes a 2×2 typology of antecedents. The proposed model was tested and supported in a three-wave field study of 395 employees in a U.S. Fortune-100 organization. This study organizes antecedents from diverse research streams and validates their relative impact on cyberslacking, thus providing a cohesive theoretical explanation of cyberslacking. This study also incorporates contextualization (i.e., IT-specific factors) into theory development and enriches the IS literature by examining the nonwork aspects of IT use and their negative consequences to organizations. In addition, the results provide practitioners with insights into the nonwork use of IT in organizations, particularly regarding how they can take organizational action to mitigate cyberslacking and maintain employee productivity.
Cyberslacking in the Workplace: Antecedents and Effects on Job Performance
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Publication History
Received: June 2, 2017
Revised: December 22, 2017; July 2, 2019; August 29, 2020; June 4, 2021; October 5, 2021
Accepted: October 20, 2021
Published in Issue: March 1, 2023
https://doi.org/10.25300/MISQ/2022/14985
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
Abstract
Additional Details
Author | Viswanath Venkatesh, Christy M.K. Cheung, Fred D. Davis, and Zach W. Y. Lee |
Year | 2023 |
Volume | 47 |
Issue | 1 |
Keywords | Cyberslacking, cyberdeviance, counterproductive IT use, counterproductive workplace behaviors, job performance, literature-based approach, work stressors, IT policy |
Page Numbers | 281-316 |