Browsing by Author "Davis, Fred D."

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    A cultural contingency model of knowledge sharing and job performance
    Venkatesh, Viswanath; Davis, Fred D.; Zhu, Yaping (Elsevier, 2022-02-01)
    Drawing from the knowledge management literature, we developed and tested a nomological network related to knowledge sharing – i.e., knowledge seeking and knowledge providing using knowledge management systems. We investigated the effect of cultural contingencies on the prediction of both knowledge seeking and knowledge providing. In addition, we examined the effect of knowledge sharing using a KMS on employee job performance. We conducted a study using a field survey of 224 employees in an organization in the People's Republic of China and United States. We found that sensitivity to image and sensitivity to organizational incentives influenced both knowledge seeking and knowledge providing, and the effect was varied across individuals with different cultural values. For example, our findings suggested that the negative relationship between sensitivity to image and knowledge seeking was stronger for individuals with collectivistic values than for those with individualistic values. We also found that both knowledge seeking and knowledge providing led to better job performance.
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    Cyberslacking in the Workplace: Antecedents and Effects on Job Performance
    Venkatesh, Viswanath; Cheung, Christy M. K.; Davis, Fred D.; Lee, Zach W. Y. (2021-11-07)
    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.
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    The "Darth" Side of Technology Use: An Inductively Derived Typology of Cyberdeviance
    Venkatraman, Srinivasan; Cheung, Christy MK K.; Lee, Zach WY Y.; Davis, Fred D.; Venkatesh, Viswanath (Routledge, 2018-01-01)
    Cyberdeviance, intentional use of information technology (IT) in the workplace that is contrary to the explicit and implicit norms of the organization and that threatens the well-being of the organization and/or its members, is an important research stream that has gained attention in academia and industry. Prior studies have treated different forms of cyberdeviance as different phenomena, resulting in a lack of a collective underlying conceptualization of cyberdeviance. This work inductively and empirically derives a typology of cyberdeviance with 439 respondents across three phases. Our results suggest that cyberdeviance varies along 3 dimensions: cyberdeviant behaviors that are minor versus serious; cyberdeviant behaviors that target individuals versus organizations; and cyberdeviant behaviors that require low versus high technical skill. We thus provide a comprehensive framework that fosters a logical linkage of various research programs related to cyberdeviance to guide future research investigation. The typology will help managers to distinguish different cyberdeviant behaviors and implement suitable interventions depending on the behavior.