Volume 8, Issue 6, November 2019, Page: 112-119
The Influence of College Students' Knowledge-based Network Community Participation Motivation on Their Active Behavior in the Community
Ming Qi, School of Electrical and Information Engineering, Jiangsu University, Zhenjiang, China
Received: Oct. 7, 2019;       Accepted: Nov. 7, 2019;       Published: Nov. 15, 2019
DOI: 10.11648/j.ajap.20190806.11      View  230      Downloads  108
[Background] College students are willing to join the online community, and many students participate in learning and learning in the knowledge-based network community. [Objective] By means of analyzing and studying the motivation of college students to participate in knowledge-based online community, to provide reference for better guiding college students' online learning. [Methods] Based on the classical motivation process theory "self-determination theory" of social psychology, the theoretical model of the influence of participation motivation on activity was constructed from the three dimensions of independent demand, relational demand and competency demand, and 128 questionnaires were used to test and analyze the hypothesis. [Results] The absolute fitness index of the model tested by hypothesis test was X2/df = 2.807 (P ≤ 0.000), RMSEA=0.. 080, GFI ≤ 0. 841, CFI = 0. 882, NFI = 0. 830, IFI = 0. 883, TLI = 0. 865, indicating that the model fits well. [Conclusion] Learning motivation, social motivation and achievement motivation have significant positive effects on the activity of college students in knowledge-based online communities. Interest motivation and reciprocity motivation do not directly affect the activity of college students in knowledge-based online communities, in which interest motivation indirectly affects the activity of college students through the intermediary role of learning motivation and reciprocity motivation through the intermediary role of social motivation and achievement motivation.
Network Community, Participating Motivation, Community Activity, Self-Determination Theory
To cite this article
Ming Qi, The Influence of College Students' Knowledge-based Network Community Participation Motivation on Their Active Behavior in the Community, American Journal of Applied Psychology. Vol. 8, No. 6, 2019, pp. 112-119. doi: 10.11648/j.ajap.20190806.11
Copyright © 2019 Authors retain the copyright of this article.
This article is an open access article distributed under the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
QIU J, LI Y, TANG J, et al. The Lifecycle and Cascade of WeChat Social Messaging Groups [EB/OL] (2016-04-28) [2016-05-11].
Zhang Bo, Zhao Yiming, Qiao Huan, based on the self-decision theory, participated in the motivation factors of collaborative knowledge production [J]. Modern intelligence, 2016 (9): 95-100.
LIN M J, HUNG SW, CHEN C J. Fostering the Determinants of Knowledge Sharing in Professional Virtual Communities [J]. Computers in Human Behavior, 2009 (4): 929-939.
China Internet Network Information Center. 44th (Statistical Report on Internet Development in China> [EB/OL]. (2019-08-30) [2019-08-30]. Http://http://www.cac.gov.cn/2019-08/30/c_1124938750.htm.
Maslow. Motivation and personality [M]. Beijing: Renmin University Press, 2012.
Hu Fangang, Chou Xiujuan, Liu Qi, and so on. An Empirical Analysis of the Motivation Factors of Learning Motivation in the Virtual Community of Education [J]. Journal of Distance Education, 2013 (4) 52-59.
RYAN R M, DELI E L. Self-determination Theory and the Facilitation of Intrinsic, Motivation, Social Development, and Well-being [J]. American psychologist, 2000 (1): 68-78.
Measurement of the participation of users in the social network of Aiping and Zhu Donghong [J]. Library intelligence work, 2011 (14): 32-35.
Zhao Maolei. [D] Hangzhou: Zhejiang University, 2006: 23-28
MERGENER M A. The Motivation Orientations of Pharmacists Toward Continuing Education [M]. Madison: University of Wisconsin Press, 1978: 55.
Wu Feng, Wang Ci Xiao, Li Jie non-constraint condition, the development of adult online learning motivation scale [J] Modern distance education research, 2015 (4): 60-65.
Yang Genfu. MOOC User's Study of Open Education for Sustainable Use of Behavior Factors [J]. 2016 (1): 100-111.
DHOLAKIA U M, BAGOZZI R P, PEARO L K. A Sovial Inlluenc, e Model of Consumer Participation in Network and Small-group-based Virtual Communities [J]. International Journal of Research in Marketing, 2004 (3): 241-263.
Qin Min, Qiao Shi, and Chen Liangyou. Research on the Online User Contribution Behavior of the Open Innovation Community of the Enterprise Based on the Theory of CAS: Take the Community of the Domestic Well-known Enterprises as an Example [J]. Management Review, 2015 (1): 126.
Xu Bo. Research on the Impact Factors of the Encyclopedia of the Encyclopedia of the Internet [J]. Science Research, 2011 (5): 665-669.
Chang Jing, Yang Jianmei. An Empirical Study on the Relationship between the Participation Behavior and the Motivation of the User in Baidu [J]. Science Research, 2009 (8): 1213-1219.
Gan Chunmei, Wang Weijun. Knowledge exchange and sharing in online scientific research community: MOA viewing angle [J]. Book Information, 2014 (2): 53-58.
Hu-xiu. The empirical study of the relationship between the motivation and the participation intensity of the relationship-type virtual community users [D]. Changchun: Jilin University, 2015: 31-33.
Ren Lili. A review of the motivation and approach of knowledge-sharing [J]. Contemporary economic management, 2012 (5): 18-27.
Hou Delin, Zhao Liping, Zhang Xing, and so on. The empirical study of the user's willingness to spread the content of the network video service [J]. Management Review, 2015 (11): 86-95.
Li Jia, Ren Carrie, Liu Qi, and so on. The users of the WeChat public platform continue to use the will to study [J]. Intelligence Science, 2016 (10): 26-33.
Liu Qi, Du Rong. The relationship between knowledge sharing quality, innovation and satisfaction of network community based on participating motivation [J]. Intelligence theory and practice, 2013 (3): 56-61.
Fu Yeping, Zhao Xiaofei. Web-based SNS website user participation motivation and participation strength study [C]. Finance and trade research, 2011 (6): 107-116.
ASELAGE J, EISENBERGER R. Perceived Organizational Support and Psychological Contract: A Theoretial Integration [J]. Journal of Organizational Behavior, 2003 (5): 491-509.
BOOK GW, ZMUD R W, KIM Y G, et al. Behavioral Intention formation in Knowledge Sharing: Examining the Roles of Extrinsicmotivators, Social-psychological Forces, and Organizationalc, limate [J]. MIS Quarterly, 2005 (1): 87-111.
Wan Li, Cheng Huiping. Research on the Motivation of the Sustainable Knowledge Contribution of the Virtual Knowledge Community Based on the Theory of Self-determination [J]. Information Science, 2016 (10): 15-19.
The theory of achievement motivation of Wang Xiao-ping and McLeland [J]. Management (Practice), 2009 (3): 52-56.
YOO K H, GRETZEL U. What Motivates Consumers to Write Online Travel Reviews [J]. Information Technology & Tourism 2008 (4): 283-295.
CONSTANT D, KIESLER S, SPROULL L. What’s Mine Is Ours, or Is It? A Study of Attitudes about Information Sharing [J]. Information Systems Research, 1994 (4): 400-421.
TAJFEL H. Human Groups and Soeial Categories [J]. Cambridge: Cambridge University Press, 1981: 45-48.
WASKO M L, FARAJ S. Why Should I Share? Examining Social Capital and Knowledge Contribution in Electronic Networks of Practice [J]. MIS Quarterly, 2005 (1): 35-57.
WANG Y, FESENMAIER D R. Towards Understanding Members’ General Participation in and Active Contribution to an Online Travel Community [J]. Tourism Management, 2004 (6): 709-722.
Gong Zhu Jie, Zhao Wenjun and Xiong Shuochu. Research on the willingness of the members of the virtual community based on the perceived value to share the knowledge sharing will [J]. Book and Information, 2013 (5): 89-94.
Browse journals by subject