Diese Datenbank enthält über 40.000 Dokumente zu Themen aus den Bereichen Formalerschließung – Inhaltserschließung – Information Retrieval.
© 2015 W. Gödert, TH Köln, Institut für Informationswissenschaft / Powered by litecat, BIS Oldenburg (Stand: 28. April 2022)
1Kang, M.: Motivational affordances and survival of new askers on social Q&A sites : the case of Stack Exchange network.
In: Journal of the Association for Information Science and Technology. 73(2022) no.1, S.90-103.
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.
Inhalt: Vgl.: https://asistdl.onlinelibrary.wiley.com/doi/10.1002/asi.24548.
2Kang, M.: Dual paths to continuous online knowledge sharing : a repetitive behavior perspective.
In: Aslib journal of information management. 72(2020) no.2, S.159-178.
Abstract: Purpose Continuous knowledge sharing by active users, who are highly active in answering questions, is crucial to the sustenance of social question-and-answer (Q&A) sites. The purpose of this paper is to examine such knowledge sharing considering reason-based elaborate decision and habit-based automated cognitive processes. Design/methodology/approach To verify the research hypotheses, survey data on subjective intentions and web-crawled data on objective behavior are utilized. The sample size is 337 with the response rate of 27.2 percent. Negative binomial and hierarchical linear regressions are used given the skewed distribution of the dependent variable (i.e. the number of answers). Findings Both elaborate decision (linking satisfaction, intentions and continuance behavior) and automated cognitive processes (linking past and continuance behavior) are significant and substitutable. Research limitations/implications By measuring both subjective intentions and objective behavior, it verifies a detailed mechanism linking continuance intentions, past behavior and continuous knowledge sharing. The significant influence of automated cognitive processes implies that online knowledge sharing is habitual for active users. Practical implications Understanding that online knowledge sharing is habitual is imperative to maintaining continuous knowledge sharing by active users. Knowledge sharing trends should be monitored to check if the frequency of sharing decreases. Social Q&A sites should intervene to restore knowledge sharing behavior through personalized incentives. Originality/value This is the first study utilizing both subjective intentions and objective behavior data in the context of online knowledge sharing. It also introduces habit-based automated cognitive processes to this context. This approach extends the current understanding of continuous online knowledge sharing behavior.
Inhalt: Vgl.: https://doi.org/10.1108/AJIM-05-2019-0127.
Anmerkung: Beitrag in einem Special Issue: Crowdsourcing and Collaboration in Digital Humanities.
3Kang, M. ; Kim, B. ; Gloor, P. ; Bock, G.-W.: Understanding the effect of social networks on user behaviors in community-driven knowledge services.
In: Journal of the American Society for Information Science and Technology. 62(2011) no.6, S.1066-1074.
Abstract: Given the prevalence of community-driven knowledge services (CKSs) such as Yahoo! Answers and Naver Knowledge In, it has become important to understand the effect of social networks on user behaviors in CKS environments. CKSs allow various relationships between askers and answerers as well as among answerers. This study classifies social ties in CKSs into three kinds of ties: answering ties, co-answering ties, and getting answers ties. This study examines the influence of the structural and relational attributes of social networks on the quality of answers at CKSs for answering ties, co-answering ties, and getting answers ties. Data collected from the top-100 heavy users of Yahoo! Answers and of Naver Knowledge In are used to test the research model. The analysis results show that the centrality of the answering ties significantly influences the quality of answers while the average strength of the answering ties has an insignificant effect on the quality of answers. Interestingly, both the centrality and average strength of the co-answering ties negatively affect the quality of answers. Moreover, the centrality and average strength of getting answers ties do not significantly influence the quality of answers.
4Kang, M. ; Kim, Y.-G.: ¬A multilevel view on interpersonal knowledge transfer.
In: Journal of the American Society for Information Science and Technology. 61(2010) no.3, S.483-494.
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.