Author List: Suh, Ayoung; Shin, Kyung-Shik; Ahuja, Manju; Kim, Min Soo;
Journal of Management Information Systems, 2011, Volume 28, Issue 1, Page 351-386.
We examine how the virtuality of work context influences individuals' social networks within and across work groups. Given this purpose, we develop a multilevel research framework that explores the effects of different levels of virtuality on one's intra-group tie strength and extra-group network range based on the computer-mediated communication theory, the proximity theory, and the social network theory. The results of the hierarchical linear modeling indicate that the individual-level virtuality (use of personal and communal communication technologies) significantly influences one's intra-group tie strength and extra-group network range. Moreover, the results show that the effects of individual-level virtuality on social networks vary depending on the group-level virtuality, such as geographic/temporal dispersion and technological support. By illuminating how individuals' social networks can be developed through the appropriate use of personal and communal communication technologies in the context of a virtual group, this study provides useful insights into the mechanics that underlie effective virtual work.
Keywords: multilevel analysis; social networks; virtuality
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#234 0.265 social networks influence presence interactions network media networking diffusion implications individuals people results exchange paper sites evidence self-disclosure important examine
#116 0.234 research study influence effects literature theoretical use understanding theory using impact behavior insights examine influences mechanisms specifically context perspective findings
#146 0.117 work people workers environment monitoring performance organizations needs physical useful number personal balance perceptions create computer-based technological technologies investigation achievement
#200 0.096 banking bank multilevel banks level individual implementation analysis resistance financial suggests modeling group large bank's services levels national data early