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Cyberslacking in the Workplace: Antecedents and Effects on Job Performance

Venkatesh, V.; Cheung, C.M.K.; Davis, F.D.; Lee, Z.W.Y.

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Authors

V. Venkatesh

C.M.K. Cheung

F.D. Davis

Z.W.Y. Lee



Abstract

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 a lack of cohesive explanation of cyberslacking. Further, prior studies generally overlooked IT-specific variables. To address the cyberslacking problems in organizations and 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 2x2 typology of antecedents. The proposed model was tested and supported in a three-wave field study of 395 employees in a Fortune-100 US organization. For research, this work organizes antecedents from diverse research streams and validates their relative impact on cyberslacking, thus providing a cohesive theoretical explanation of cyberslacking. This work also incorporates contextualization (i.e., IT-specific factors) into theory development and enriches IS literature by examining the nonwork aspects of IT use and their negative consequences to organizations. For practice, the results provide practitioners with insights into nonwork use of IT in organizations, particularly on how they can take organizational action to mitigate cyberslacking and maintain employee productivity.

Citation

Venkatesh, V., Cheung, C., Davis, F., & Lee, Z. (2023). Cyberslacking in the Workplace: Antecedents and Effects on Job Performance. MIS Quarterly, 47(1), 281-316. https://doi.org/10.25300/misq/2022/14985

Journal Article Type Article
Acceptance Date Oct 20, 2021
Publication Date Mar 1, 2023
Deposit Date Oct 25, 2021
Publicly Available Date Aug 21, 2023
Journal MIS Quarterly
Print ISSN 0276-7783
Publisher Management Information Systems Research Center
Peer Reviewed Peer Reviewed
Volume 47
Issue 1
Pages 281-316
DOI https://doi.org/10.25300/misq/2022/14985
Public URL https://durham-repository.worktribe.com/output/1230654

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