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  • × author_ss:"Kang, M."
  • × language_ss:"e"
  1. Kang, M.: Motivational affordances and survival of new askers on social Q&A sites : the case of Stack Exchange network (2022) 0.01 
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    Abstract
    Social question-and-answer (Q&A) sites are platforms where users can freely ask, share, and rate knowledge. For the sustainable growth of social Q&A sites, maintaining askers is as critical as maintaining answerers. Based on motivational affordances theory and self-determination theory, this study explores the influence of the design elements of social Q&A sites (i.e., upvotes, downvotes, edits, user profile, and comments) on the survival of new askers. In addition, the moderating effect of having an alternative experience is examined. Online data on 25,000 new askers from the top five Q&A sites in the Technology category of the Stack Exchange network are analyzed using logistic regression. The results show that the competency- and autonomy-related design features of social Q&A sites motivate new askers to continue participating. Surprisingly, having an alternative experience shows a negative moderating effect, implying that alternative experiences increase switching costs in the Stack Exchange network. This study provides valuable insights for administrators of social Q&A sites as well as academics.
  2. Kang, M.; Kim, Y.-G.: ¬A multilevel view on interpersonal knowledge transfer (2010) 0.01 
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    Abstract
    Knowledge transfer among employees is a critical enabler of organizational learning. In this article, the direct and moderating effects of the multilevel (i.e., dyadic and individual levels) antecedents of knowledge transfer are examined based on social network and knowledge management research. By analyzing the survey responses from eight R&D groups of five firms using hierarchical linear modeling, we find that structural equivalence significantly influences interpersonal knowledge transfer at the dyadic level, even when strength of ties is controlled. At the individual level, the knowledge recipient's motivational factors such as group identification and the perceived expertise of colleagues show significant effects on knowledge transfer. Finally, the effect of strength of ties at the dyadic level is more influential when the recipient's group identification is low.
  3. Kang, M.; Kim, B.; Gloor, P.; Bock, G.-W.: Understanding the effect of social networks on user behaviors in community-driven knowledge services (2011) 0.00 
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    Date
    4. 7.2011 19:29:57
  4. Kang, M.: Dual paths to continuous online knowledge sharing : a repetitive behavior perspective (2020) 0.00 
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    Date
    20. 1.2015 18:30:22

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