Exploring the Relation Between Users’Continual Knowledge Seeking and Contribution Intention

Abstract

Abstract:

Users’ continual knowledge sharing behavior in virtual community is the lifeblood of the latter.It consists of both knowledge contribution and knowledge seeking. Unique in their own way, contribution and seeking are closely interrelated with and inseparable to each other. Based on self-perception theory
and consistency principle, the current study develops a model to explore the relationship between users’continual knowledge contribution and seeking intention in virtual community. Questionnaire survey was conducted in this study, 220 valid data collected, and the PLS modeling method employed to conduct the data analysis. The study indicates that users’ continual knowledge seeking intention in virtual community has a significantly positive effect on their enjoyment in helping others, reciprocity and perceived usefulness,and the enjoyment in helping others as well as reciprocity has a significantly positive effect on users’continual knowledge contribution intention.

Key words: Self-perception theory, Continual knowledge contribution intention, Continual knowledge seeking intention, Virtual community

Li Li. Exploring the Relation Between Users’Continual Knowledge Seeking and Contribution Intention[J]. LIBRARY JOURNAL.

References

[ 1 ] Fang Y H, Chiu C M. In justice we trust: Exploring knowledge-sharing continuance intentions in virtual communities of practice[J]. Computers in Human Behavior, 2010, 26(2): 235-246.

[ 2 ] Chai S M, Das S, Rao H R. Factors affecting bloggers’ knowledge sharing: An investigation across gender[J]. Journal of Management Information Systems, 2011, 28(3): 309-341.

[ 3 ] Yates D, Wagner C, Majchrzak A. Factors affecting shapers of organizational wikis[J]. Journal of the American Society for Information Science and Technology, 2009, 61(3): 543-554.

[ 4 ] Hashim K F, Tan F B. The mediating role of trust and commitment on members’ continuous knowledge sharing intention: A commitmenttrust theory perspective[J]. International Journal of Information Management, 2015, 35(2): 145-151.

[ 5 ] He W, Wei K K. What drives continued knowledge sharing? An investigation of knowledge contribution and -seeking beliefs[J]. Decision Support Systems,2009, 46(4): 826-838.

[ 6 ] Ma M, Agarwal R. Through a glass darkly:Information technology design, identity verification,and knowledge contribution in online communities[J].Information Systems Research, 2007, 18(1): 42-67.

[ 7 ] Chen I Y L. The factors influencing members’continuance intentions in professional virtual communities-A longitudinal study[J]. Journal of Information Science, 2007, 33(4): 451-467.

[ 8 ] Lin M, Hung S W, Chen C J. Fostering the determinants of knowledge sharing in professional virtual communities [J]. Computers in Human Behavior, 2009, 25(4): 929-939.

[ 9 ] Lai H M, Hsieh P J. The decision to continue sharing knowledge in virtual communities: The moderating role of knowledge-sharing experience and knowledge self-efficacy[OL]. [2015-06-10]. http: //aisel. aisnet.org/pacis2013/15.

[10] Chen C J, Hung S W. To give or to receive? Factors influencing members’ knowledge sharing and community promotion in professional virtual communities [J]. Information& Management, 2010,47(4): 226-236.

[11] Sutanto J, Jiang Q Q. Knowledge seekers’ and c o n t r i b u t o r s ’ r e a c t i o n s t o r e c o m m e n d a t i o n mechanisms in knowledge management systems[J].Information & Management, 2013, 50(5): 258-263.

[12] P h a n g C W, K a n k a n h a l l i A , S a b h e r w a l R .Usability and Sociability in Online Communities:A Comparative Study of Knowledge Seeking and Contribution [J]. Journal of the Association for Information Systems, 2009, 10(10): 721-747.

[13] Watson S, Hewett K. A multi-theoretical model of knowledge transfer in organizations: determinants of knowledge contribution and knowledge Reuse [J].Journal of Management Studies, 2006, 43(2): 141-173.

[14] Peddibhotla N B, Subramani M R. Contributing to public document repositories: acritical mass theory perspective[J]. Organization Studies, 2007, 28(3):327-346.

[15] Jin X L, Zhou Z Y, Lee M, et al. Why users keep answering questions in online question answering c o m m u n i t i e s : A t h e o r e t i c a l a n d e m p i r i c a l

investigation[J]. International Journal of Information Management, 2013, 33(1): 93-104.

[16] Guan X, Deng S L. Understanding the factors influencing user intention to continue contributing knowledge in social Q&A communities[J]. Chinese Journal of Library and Information Science, 2013,6(3): 75-90.

[17] C h e u n g C M K , L e e M K O , L e e Z W Y .Understanding the continuance intention of knowledge sharing in online communities of practice through the post-knowledge-sharing evaluation processes [J]. Journal of the American Society For Information Science and Technology, 2013, 64(7): 1357-1374.

[18] C h i u C M , W a n g E T G , S h i h F J , e t a l .Understanding knowledge sharing in virtual communities: An integration of expectancy disconfirmation and justice theories[J]. Online

Information Review, 2011, 35(1): 134-153.

[19] 龚主杰, 赵文军, 熊曙初. 基于感知价值的虚拟社区成员持续知识共享意愿研究[J]. 图书与情报,2013(5): 89-94.

[20] Yan Y L, Davison R, Mo C Y. Employee creativity formation: The roles of knowledge seeking,knowledge contributing and flow experience in Web 2. 0 virtual communities[J]. Computers in Human Behavior, 2013, 29(5): 1923-1932.

[21] 莫春燕. 知识能力视角下虚拟社区知识共享影响因素研究[D]. 武汉: 武汉科技大学, 2013.

[22] Yan Y L, Davison R. Exploring behavioral transfer from knowledge seeking to knowledge contributing:The mediating role of intrinsic motivation[J]. Journal of American Society for Information Science and Technology, 2013, 64(6): 1144-1157.

[23] Kim S S, Malhotra N K. A longitudinal model of continued IS use: An integrative view of four mechanisms underlying post-adoption phenomena[J].Manage Science, 2005, 51(5): 741-755.

[24] Bem D J, McConnell H K. Test the self-perception explanation of the dissonance phenomena: On the salience of permanipulation attitudes[J]. Journal of personality and social psychology, 1970, 14(1): 23-31.

[25] Garnefeld I, Helm S, Eggert A. Walk your talk:An experimental investigation of the relationship between word of mouth and communicators’loyalty[J]. Journal of Service Research, 2011, 14(1):93-107.

[26] Cialdini R. Influence: Science and Practice[M].Boston: Pearson, 2009: 59.

[27] Greenwald A G, Carnot C G, Beach R, et al.Increasing vote behavior by asking people if they expect to vote[J]. Journal of Applied Psychology,1987, 72(2): 315-318.

[28] Hendriks P. Why share knowledge? The influence of ICT on the motivation for knowledge sharing[J].Knowledge and Process Management, 1999, 6 (2):91-100.

[29] Zhang Y X, Fang Y L. Exploring the role of psychological safety in promoting the intention to continue sharing knowledge in virtual communities [J]. International Journal of Information Management,2010, 30(5): 425-436.

[30] Wasko M M, Faraj S. “It is what one does”: Why people participate and help others in electronic communities of practice[J]. The Journal of Strategic Information Systems, 2000, 9(2-3): 155-173.

[31] Zhao K X, Stylianou A C, Zheng Y M. Predicting users’ continuance intention in virtual communities:The dual intention-formation processes [J]. Decision Support Systems, 2013, 55(4): 903-910.

[32] Liao C C, To P L, Hsu F C. Exploring knowledge s h a r i n g i n v i r t u a l c o m m u n i t i e s [ J ] . O n l i n e Information Review, 2013, 37 (6): 891-909.

[33] Lakhani K R, Hippel E V. How open source software works: “Free” user-to-user assistance [J].Research Policy, 2003, 32(7), 923-943.

[34] Wasko M M, Faraj S. Why should I share?Examining social capital and knowledge contribution in electronic networks of practice[J]. MIS Quarterly,2005, 29(1): 35-57.

[35] Kankanhalli A, Tan B C Y , Wei K K. Contribution knowledge to electronic knowledge repositories:An empirical investigation[J]. MIS Quarterly, 2005,29(1): 113-143.

[36] Davenport T H, Prusak L. Working Knowledge: How organizations manage what they know[M]. Boston:Harvard Business School Press, 1998.[37] Blau P. Exchange and power in social life[M]. New York: Wiley, 1964.

[38] Chiu C M, Hsu M H, Wang E T G. Understandingknowledge sharing in virtual communities: An integration of social capital and social cognitive theories[J]. Decision Support Systems, 2006, 42(3):1872-1888.

[39] Bock G W, Zmud R W, Kim Y G, et al. Behavioral intention formation in knowledge sharing: Examine the roles of extrinsic motivators, social-psychological forces, and organizational climate[J]. MIS Quarterly,2005, 29(1): 87-111.

[40] Davis F D. Perceived usefulness, perceived ease of use and user acceptance of information system[J].MIS Quarterly, 1989, 3(13): 319-340.

[41] Bhattacherjee A, Premkumar G. Understanding changes in belief and attitude toward information technology usage: A theoretical model and longitudinal test[J]. MIS Quarterly, 2004, 28(2):229-254.

[42] Bhattacherjee A. A resource-based perspective on information technology capability and firm performance: An empirical investigation[J]. MIS Quarterly, 2000, 24(1): 169-196.

[43] Huang E, Hsu M H, Yen Y R. Understanding p a r t i c i p a n t l o y a l t y i n t e n t i o n s i n v i r t u a l communities[J]. Information Science & Applications,2008, 5(4): 497-511.

[44] Yu T K, Lu L C, Liu T F. Exploring factors that influence knowledge sharing behavior via weblogs[J].Computers in Human Behavior, 2010, 26(1): 32-41.

[45] 查先进, 张晋朝, 严亚兰. 微博环境下用户学术信息搜寻行为影响因素研究——信息质量和信源可信度双路径视角[J/OL]. 中国图书馆学报.[2015-06-17].

[46] Straub D, Boudreau M C, Gefen D. Validation g u i d e l i n e s f o r I S p o s i t i v i s t r e s e a r c h [ J ] .Communications of the Association for Information Systems, 2004, 13(1): 380-427.

[47] Fornell C, Larcker D F. Evaluating structural equation models with unobservable variables and measurement error[J]. Journal of Marketing Research, 1981, 18(1): 39-50.

[48] Chin W W. Issues and opinions on structural equation modeling[J]. MIS Quarterly, 1998, 22(1): 1-11.