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Please use this identifier to cite or link to this item: http://hdl.handle.net/2031/5032

Title: Reputation system effects on motivating knowledge contribution in online community : an experimental investigation
Other Titles: Deng ji ji suan xi tong dui tui dong wang shang zhi shi fen xiang xing wei de ying xiang yan jiu
等級計算系統對推動網上知識分享行為的影響研究
Authors: Shek, Sarah Pui Wah (石珮華)
Department: Dept. of Information Systems
Degree: Doctor of Philosophy
Issue Date: 2007
Publisher: City University of Hong Kong
Subjects: Internet -- Psychological aspects
Internet -- Social aspects
Internet users -- Psychology
Notes: CityU Call Number: HM1017.S55 2007
Includes bibliographical references (leaves 93-102)
Thesis (Ph.D.)--City University of Hong Kong, 2007
v, 115 leaves : ill. ; 30 cm.
Type: Thesis
Abstract: A reputation system is a type of collaborative filtering algorithm which attempts to collect, distribute, and aggregate feedbacks about all users’ behavior in an effort to strike a balance between the democratic principles of open publishing and maintaining standards of quality. It is emerging as an increasingly important component of online communities to elicit contributions. Ideas about how reputation system impacts a user’s contribution to an online community (i.e., the eBay community) abound, but without much theorizing. The objective of this thesis is to address this theoretical void. Drawing upon Maslow’s hierarchy of needs, I develop a model to explain the relationship between the effects of a reputation system and contribution of knowledge in online communities. Contribution behavior is modeled as a response to varied individual motivations (including the social need, esteem need, cognitive need, and altruistic need), and these motivations are determined by reputation system design characteristics, that is, reputation and identity management mechanisms. The research model is validated by an experiment with a 2x3 factorial design involving 251 graduate students. A fictitious online community, CityTalk.org, is created for this study. All contents in the community are user-generated and made searchable in public. The empirical results provide very strong support for the model. The theoretical and practical implications of the results are discussed. Given the importance of global knowledge sharing, the findings of this study will be important to inform the web designers on the design of online communities to promote contribution behaviors.
Online Catalog Link: http://lib.cityu.edu.hk/record=b2218106
Appears in Collections:IS - Doctor of Philosophy

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