CYBERSLACKING IN THE WORKPLACE: ANTECEDENTS AND EFFECTS ON JOB PERFORMANCE

成果类型:
Article
署名作者:
Venkatesh, Viswanath; Cheung, Christy M. K.; Davis, Fred D.; Lee, Zach W. Y.
署名单位:
Virginia Polytechnic Institute & State University; Hong Kong Baptist University; Texas Tech University System; Texas Tech University; Durham University
刊物名称:
MIS QUARTERLY
ISSN/ISSBN:
0276-7783
DOI:
10.25300/MISQ/2022/14985
发表日期:
2023
页码:
281-316
关键词:
personal internet use enterprise system implementation mixed-methods research task-technology fit information-technology big 5 ORGANIZATIONAL JUSTICE 5-FACTOR MODEL COUNTERPRODUCTIVE BEHAVIOR ADAPTIVE STRUCTURATION
摘要:
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 2x2 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.