Diese Datenbank enthält ca. 39.000 Dokumente zu Themen aus den Bereichen Formalerschließung – Inhaltserschließung – Information Retrieval.
© 2015 W. Gödert, TH Köln, Institut für Informationswissenschaft / Powered by litecat, BIS Oldenburg (Stand: 19. Oktober 2016)
1Liu, I.L.B. ; Cheung, C.M.K. ; Lee, M.K.O.: User satisfaction with microblogging : information dissemination versus social networking.
In: Journal of the Association for Information Science and Technology. 67(2016) no.1, S.56-70.
Abstract: Microblogging is growing in popularity and significance. Although many researchers have attempted to explain why and how people use this new medium, previous studies have produced relatively inconclusive results. For instance, in most of these studies, microblogging has been considered a social networking activity; however, quantitative analyses of microblogging usage have shown that people use microblogging as an information-broadcasting platform. In this study, we identified the factors that drive microblogging and which of them lead to user satisfaction. We developed a theoretical framework and then empirically validated the factors and the emergent mechanisms (value evaluation processes). We empirically tested our research model using a sample of 230 microbloggers, and the results showed that content and technology gratifications are the two key factors that drive user satisfaction with microblogging. That is, it is the value of information dissemination rather than social networking that makes people feel satisfied with the use of microblogging. We believe that this study will generate interest among researchers in social media. The results also provide platform administrators with insights into how people use microblogging and why they are satisfied with the technology.
Inhalt: Vgl.: http://onlinelibrary.wiley.com/doi/10.1002/asi.23371/abstract.
2Cheung, C.M.K. ; Liu, I.L.B. ; Lee, M.K.O.: How online social interactions influence customer information contribution behavior in online social shopping communities : a social learning theory perspective.
In: Journal of the Association for Information Science and Technology. 66(2015) no.12, S.2511-2521.
Abstract: Online social shopping communities are transforming the way customers communicate and exchange product information with others. To date, the issue of customer participation in online social shopping communities has become an important but underexplored research area in the academic literature. In this study, we examined how online social interactions affect customer information contribution behavior. We also explored the moderating role of customer reputation in the relationship between observational learning and reinforcement learning as well as customer information contribution behavior. Analyses of panel data from 6,121 customers in an online social fashion platform revealed that they are significant factors affecting customer information contribution behavior and that reinforcement learning exhibits a stronger effect than observational learning. The results also showed that customer reputation has a significant negative moderating effect on the relationship between observational learning and customer information contribution behavior. This study not only enriched our theoretical understanding of information contribution behavior but also provided guidelines for online social shopping community administrators to better design their community features.
Inhalt: Vgl.: http://onlinelibrary.wiley.com/doi/10.1002/asi.23340/abstract.