Cited By
View all- Daradkeh MGawanmeh AMansoor W(2022)Information Adoption Patterns and Online Knowledge Payment Behavior: The Moderating Role of Product TypeInformation10.3390/info1309041413:9(414)Online publication date: 31-Aug-2022
Analysis of Knowledge Providers' Learning Behavior: A Case Study of Zhihu Live
Authors: 
Tuotuo Qi, Yanlin Ma, Tianmei Wang, Nuo ChenAuthors Info & Claims
Pages 83 - 89
Abstract
Cross-domain knowledge exchange is a social network with domain as its node and knowledge flow as its edge. This paper uses the domain classification of Zhihu Lives to construct a cross-domain knowledge exchange network and analyzes the structural characteristics of knowledge exchange in Zhihu Lives. Finally, we provide some practical suggestions for the following development of the platform by analyzing the special phenomenon of knowledge exchange in the present stage of knowledge exchange.
References
[1]
Ashton Anderson, Daniel Huttenlocher, Jon Kleinberg, et al. 2013. "Steering user behavior with badges", pp. 95--106.
[2]
John Seely Brown, Paul Duguid. 1991. "Organizational learning and communities-of-practice: Toward a unified view of working, learning, and innovation", Organization Science, Vol. 2 No.1, pp. 40--57.
[3]
John Seely Brown, Paul Duguid. 2001. "Knowledge and organization: A social-practice perspective", Organization Science, Vol. 12 No.2, pp. 198--213.
[4]
Huseyin Cavusoglu, Zhuolun Li, Ke Wei Huang, (2015), "Can gamification motivate voluntary contributions?", ACM Conference Companion on Computer Supported Cooperative Work & Social Computing, pp.171--174.
[5]
Wojciech Cellary, (2010), "Paid content a way to electronic knowledge-based economy", East European Conference on Advances in Databases and Information Systems, pp.13--14.
[6]
Chao Min Chiu, Meng Hsiang Hsu, Eric T. G. Wang. 2007. "Understanding knowledge sharing in virtual communities: An integration of social capital and social cognitive theories", Decision Support Systems, Vol. 42 No.3, pp. 1872--1888.
[7]
Carol S Dweck, Ellen L Leggett. 1988. "A social-cognitive approach to motivation and personality", Psychological review, Vol. 95 No.2, pp. 256--273.
[8]
Michael Fullan, Santiago Rincón-Gallardo, Andrew Hargreaves. 2015. "Professional capital as accountability", Education Policy Analysis Archives, Vol. 23.
[9]
Shanshan Guo, Xitong Guo, Yulin Fang, et al. 2017. "How doctors gain social and economic returns in online health care communities: A professional capital perspective", Journal of Management Information Systems, Vol. 34 No.2, pp. 487--519.
[10]
K. F Hew, N Hara. 2007. "Knowledge sharing in online environments: A qualitative case study", Journal of the American Society for Information Science and Technology, Vol. 58 No.14, pp. 2310--2324.
[11]
Iresearch. Research report about online knowledge payment market in china 2018.
[12]
Antin J, Churchill E F. Badges in social media: A social psychological perspective. New York. 2011: 1--4.
[13]
Zhenhui Jiang, Weiquan Wang, Izak Benbasat. 2009. "Multimedia-based interactive advising technology for online consumer decision support", Social Science Electronic Publishing, Vol. 48 No.9, pp. 92--98.
[14]
N Kumar, I Benbasat, (2002), "Para-social presence: A re-conceptualization of 'social presence' to capture the relationship between a web site and her visitors", Hawaii International Conference on System Sciences, pp.13.11.
[15]
Hsiu Fen Lin. 2007. "Effects of extrinsic and intrinsic motivations on employee knowledge sharing intentions", Journal of Information Science, Vol. 33 No.2, pp. 135--149.
[16]
Jie Lou, Yulin Fang, H. Lim Kai, et al. 2013. "Contributing high quantity and quality knowledge to online q&a communities", Journal of the American Society for Information Science & Technology, Vol. 64 No.2, pp. 356--371.
[17]
Janine Nahapiet, Sumantra Ghoshal. 1998. "Social capital, intellectual capital, and the organizational advantage", The Academy of Management Review, Vol. 23 No.2, pp. 242--266.
[18]
Mirko Noordegraaf, Willem Schinkel. 2011. "Professional capital contested: A bourdieusian analysis of conflicts between professionals and managers", Comparative Sociology, Vol. 11 No.1, pp. 97--125.
[19]
G R Oldham. 2003. "Stimulating and supporting creativity in organizations", Managing knowledge for sustained competitive advantage, pp. 243--273.
[20]
Jae Hong Park, Bin Gu, Alvin Chung Man Leung, et al. 2014. "An investigation of information sharing and seeking behaviors in online investment communities", Computers in Human Behavior, Vol. 31 No.1, pp. 1--12.
[21]
D R Raban. 2009. "Self-presentation and the value of information in q&a websites", Journal of the American Society for Information Science and Technology, Vol. 60 No.12, pp. 2465--2473.
[22]
Daphne Ruth Raban. (2008), The incentive structure in an online information market, John Wiley & Sons, Inc.
[23]
K Richards, J Skelton. 1989. "Nodes and networks: Choosing for real", Applied Linguistics, Vol. 10 No.2, pp. 231--243.
[24]
Jeffrey A Roberts, Il Horn Hann, Sandra A Slaughter. 2006. "Understanding the motivations, participation, and performance of open source software developers: A longitudinal study of the apache projects", Management Science, Vol. 52 No.7, pp. 984--999.
[25]
D Snyder, E L Kick. 1979. "Structural position in the world system and economic growth, 1955-1970: A multiple-network analysis of transnational interactions", American Journal of Sociology, Vol. 84 No.5.
[26]
Bogdan Vasilescu, Alexander Serebrenik, Premkumar T Devanbu, et al., (2014), "How social q&a sites are changing knowledge sharing in open source software communities", ACM Conference on Computer Supported Cooperative Work & Social Computing, pp.342--354.
[27]
J. N Wang, Y. L Chiu, H Yu, et al. 2017. "Understanding a nonlinear causal relationship between rewards and physicians' contributions in online health care communities: Longitudinal study", Journal of Medical Internet Research, Vol. 19 No.12, pp. e427.
[28]
Shaowei Wang, Tse Hsun Chen, Ahmed E. Hassan. 2017. "Understanding the factors for fast answers in technical q&a websites", Empirical Software Engineering No.1, pp. 1--42.
[29]
Sheng Wang, Raymond A Noe. 2010. "Knowledge sharing: A review and directions for future research", Human Resource Management Review, Vol. 20 No.2, pp. 115--131.
[30]
M McLure Wasko, Samer Faraj. 2000. ""It is what one does": Why people participate and help others in electronic communities of practice", The Journal of Strategic Information Systems, Vol. 9 No.2, pp. 155--173.
[31]
Mc Lure Wasko, S. Faraj. 2000. ""It is what one does": Why people participate and help others in electronic communities of practice", Journal of Strategic Information Systems, Vol. 9 No.2, pp. 155--173.
[32]
Mc Lure Wasko, Samer Faraj. 2005. "Why should i share? Examining social capital and knowledge contribution in electronic networks of practice", Mis Quarterly, Vol. 29 No.1, pp. 35--57.
[33]
Duncan J Watts, Steven H Strogatz. 1998. "Collective dynamics of 'small-world' networks".
[34]
Xi Zhang, Shan Jiang, Yuting Xiao, et al. 2018a. "Global challenges and developmental lessons in the knowledge sharing economy", Journal of Global Information Technology Management, Vol. 21 No.3, pp. 167--171.
[35]
Xi Zhang, Shan Jiang, Yuting Xiao, et al. Global challenges and developmental lessons in the knowledge sharing economy: Taylor & Francis. 2018b.
[36]
T Zhou. 2018. "Understanding online knowledge community user continuance: A social cognitive theory perspective", Data Technologies and Applications, Vol. 52 No.3, pp. 445--458.
Index Terms
- Analysis of Knowledge Providers' Learning Behavior: A Case Study of Zhihu Live
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Published In
October 2019
246 pages
ISBN:9781450376402
DOI:10.1145/3371238
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Association for Computing Machinery
New York, NY, United States
Publication History
Published: 18 October 2019
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Author Tags
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- Research-article
- Research
- Refereed limited
Funding Sources
- the Research Base Project of Beijing Social Science Foundation: Research on the Mechanism and Effectiveness of Public Network Participation in Public Decision-making
- the National Key Research & Development Plan of China: Research on Fundamental Theories and Methods of Crowd Science
Conference
ICCSE'19
ICCSE'19: The 4th International Conference on Crowd Science and Engineering
October 18 - 21, 2019
Jinan, China
Acceptance Rates
ICCSE'19 Paper Acceptance Rate 35 of 92 submissions, 38%;
Overall Acceptance Rate 92 of 247 submissions, 37%
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View all- Daradkeh MGawanmeh AMansoor W(2022)Information Adoption Patterns and Online Knowledge Payment Behavior: The Moderating Role of Product TypeInformation10.3390/info1309041413:9(414)Online publication date: 31-Aug-2022
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