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    政大機構典藏 > 商學院 > 資訊管理學系 > 學位論文 >  Item 140.119/74304
    Please use this identifier to cite or link to this item: http://nccur.lib.nccu.edu.tw/handle/140.119/74304

    Title: 探討虛擬社群中知識採用的決定因素
    Investigating Determinants of Knowledge Adoption in Virtual communities
    Authors: 周千翔
    Chou, Chien Hsiang
    Contributors: 湯宗益

    Tang, Tzung I
    Wang, Yi Shun

    Chou, Chien Hsiang
    Keywords: 知識採用
    Knowledge Adoption
    Informational Social Influence
    Normative Social Influence
    Time Pressure
    Virtual Community
    Date: 2014
    Issue Date: 2015-04-01 10:12:38 (UTC+8)
    Abstract: 本研究欲從社會影響中資訊性影響與規範性影響的角度探討影響線上知識採用的決定因素。現存網路知識傳遞文獻主要多偏重於知識提供者方面,然知識之接受者亦為知識傳遞中舉足輕重之角色。本研究之理論基礎奠基於社會影響理論中的資訊性與規範性影響,從資訊性與規範性角度探討影響網路上知識採用的決定因素,並提出一個知識採用的理論模型。其中資訊性決定因素包含知識品質與來源可靠度,而規範性決定因素則有知識共識與知識評價,另以時間壓力做為資訊性與規範性決定因素影響知識採用行為的路徑上的調節變數。本研究針對具備線上知識搜尋經驗之使用者進行資料蒐集,並將510份有效樣本以偏最小平方法進行研究模型之驗證與分析。研究結果顯示,資訊性與規範性的四個決定因素皆對於知識採用有著正向的顯著影響,而在調節效果檢測中,時間壓力則對於資訊性與規範性因素兩者到知識採用的行為影響路徑上,有著截然不同的調節效果。本研究結果預期對於知識採用行為有理論發展與實務應用層面之貢獻。
    This study aims to explore the evaluation determinants of online knowledge adoption with respect to informational influence and normative influence. Existing studies on knowledge transfer in online contexts have primarily addressed the knowledge provider aspect. Knowledge recipients, however, also play a fundamental role in knowledge transfer. Informational and normative social influence theory is utilized as the theoretical foundation to investigate the influences of informational and normative determinants that affect the persuasiveness of knowledge on the Internet. A theoretical model of knowledge adoption proposes that knowledge quality and source credibility serve as informational determinants, whereas knowledge consensus and knowledge rating serve as normative determinants. In addition, time pressure is regarded as a moderator that impacts the dual evaluation process toward knowledge adoption. The findings demonstrate that both informational and normative determinants had positive effects on knowledge adoption, while the moderating test indicates that time pressure exerted influences with different directions on the two evaluation processes of adopting behavior. Theoretical and practical contributions are also outlined.
    Reference: Aiken, L. S., & West, S. G. (1991). Multiple regression: Testing and interpreting interactions. Thousand Oaks, CA: Sage.
    Angst, C. M., & Agarwal, R. (2009). Adoption of electronic health records in the presence of privacy concerns: The elaboration likelihood model and individual persuasion. MIS Quarterly, 33(2), 339-370.
    Armstrong, A., & Hagel, J. (May-June 1996). The real value of online communities. Harvard Business Review, 74(3), 134-141.
    Axsom, D., Yates, S., & Chaiken, S. (1987). Audience response as a heuristic cue in persuasion. Journal of Personality and Social Psychology, 53(1), 30.
    Becheikh, N., Ziam, S., Idrissi, O., Castonguay, Y., & Landry R. (2010). How to Improve Knowledge Transfer Strategies and Practices in Education? Answers from a Systematic Literature Review, Research in Higher Education Journal, 7.
    Berners-Lee, T. (1996). WWW: Past, Present, and Future. Computer, 29(10), 69-77.
    Berners-Lee, T., & Fischetti, M. (1999). Weaving the Web: The Original Design and Ultimate Destiny of the World Wide Web by its Inventor. Britain: Orion Business.
    Bhattacherjee, A., & Sanford, C. (2006). Influence Processes for Information Technology Acceptance: An Elaboration Likelihood Model. MIS Quarterly, 30(4), 805-825.
    Bohrnstedt, G.W. (1970). Reliability and validity assessment in attitude measurement. In: Summers, G.F. (ed.), Attitude Measurement. Chicago, IL: Rand McNally, 80–99.
    Brazelton, J., & Gorry, G.A. (2003). Creating a knowledge-sharing community: If you build it, will they come? Communications of the ACM, 46(2), 23-5.
    Brett, J. F., & VandeWalle, D. (1999). Goal orientation and goal content as predictors of performance in a training program. Journal of Applied Psychology, 84(6) 863-873.
    Briggs, P., Burford, B., De Angeli, A., & Lynch, P. (2002). Trust in Online Advice. Social Science Computer Review, 20(3), 321-332.
    Brown, C. (2011). Exploring the concepts of knowledge adoption and conceptual impact: implications for educational research submissions to the Research Excellence Framework (2014), Education, Knowledge and Economy, 5(3), 137-154
    Browne, G. J., Pitts, M. G., & Wetherbe, J. C. (2007). Cognitive Stopping Rules for Terminating Information Search in Online Tasks. MIS Quarterly, 31(1), 89-104.
    Burnkrant, R. E., & Cousineau, A. (1975). Informational and normative social influence in buyer behavior. Journal of Consumer Research, 2(3), 206-215.
    Burnkrant, R. E., & Cousineau, A. (1975). Informational and normative social influence in buyer behavior. Journal of Consumer research, 206-215.
    Cacioppo, J. T., Petty, R. E., & Morris, K. J. (1983). Effects of need for cognition on message evaluation, recall, and persuasion. Journal of Personality and Social Psychology, 45(4), 805-818.
    Carnevale, P. J. D., O'Connor, K. M., & McCusker, C. (1993). Time pressure in negotiation and mediation. In O. Svenson & A. J. Maule (Eds.), Time pressure and stress in human judgment and decision making (pp. 117-127). New York: Plenum.
    Chaiken, S. (1980). Heuristic versus systematic information processing and the use of source versus message cues in persuasion. Journal of Personality and Social Psychology, 39(5), 752-766.
    Chaiken, S., Liberman, A., & Eagly, A. H. (1989). Heuristic and systematic information processing within and beyond the persuasion context. In J. S. Uleman, & J. A. Bargh, Unintended Thought (pp. 212-252). New York: Guilford Press.
    Chang, H. H. & Chuang, S. S. (2011). Social capital and individual motivations on knowledge sharing: Participant involvement as a moderator. Information & Management, 48(1), 9-18.
    Chen, Y. F. (2008). Herd behavior in purchasing books online. Computers in Human Behavior, 24(5), 1977-1992.
    Cheung, C. M. K., Lee, M. K. O., & Rabjohn, N. (2008). The impact of electronic word-of-mouth: The adoption of online opinions in online customer communities. Internet Research, 18(3), 229-247.
    Cheung, M. Y., Luo, C., Sia, C. L. & Chen, H. (2009). Credibility of electronic word-of-mouth: Informational and normative determinants of on-line consumer recommendations. International Journal of Electronic Commerce, 13(4), 9-38.
    Chevalier, J. A. & Mayzlin, D. (2006). The effect of word of mouth on sales: Online book reviews, Journal of Marketing Research, 43(3), 345-354.
    Chiu, C. M., Hsu, M. H., & Wang, E. T. G. (2006). Understanding knowledge sharing in virtual communities: An integration of social capital and social cognitive theories. Decision Support Systems, 42(3), 1872-1888.
    Chu, S., & Kim, Y. (2011). Determinants of consumer engagement in electronic word-of-mouth (eWOM) in social networking sites. International Journal of Advertising, 30(1), 47-75.
    Cohen, J. B., & Golden, E. (1972). Informational social influence and product evaluation. Journal of Applied Psychology, 56(1), 54.
    Cohen, W.M. & Levinthal, D.A. (1990). Absorptive capacity: A new perspective on learning and innovation. Administrative Science Quarterly, 35(1), 128-152.
    Conway, J. M., Lance, C. E. (2010). What reviewers should expect from authors regarding common method bias in organizational research. Journal of Business Psychology, 25, 325–334.
    Deaux, K., Dane, F.C. & Wrightsman, L. S. (1993). Social Psychology in the 90s. CA: Brooks/Cole Publishing: Company.
    Deutsch, M., & Gerrard, H.B. (1955). A study of normative and informational social influence upon individual judgment. Journal of Abnormal and Social Psychology, 53(3), 629-636.
    Dijkstra, J. J. (1999). User agreement with incorrect expert system advice. Behaviour & Information Technology, 18(6), 399-411.
    Dixon, N. (2002), “The neglected receiver of knowledge sharing”, Ivey Business Journal, Vol. 66. No. 4, pp. 35-40.
    Druckman, D. (1994). Determinants of compromising behavior in negotiation. Journal of Conflict Resolution, 38(3), 507-556.
    Dweck, C. S., Leggett, E. L. (1988). A social-cognitive approach to motivation and personality. Psychological Review, 9(5), 256-273.
    Eagly, A.H., & Chaiken, S. 1993. The Psychology of Attitudes. Orlando, Fl. Harcourt Brace Jovanovich College Publishers.
    Einhorn, H.J., (1970). The use of nonlinear noncompensatory models in decision making. Psychological Bulletin 73, 221-230.
    Evans, J. S. B. T. (2008) Dual-processing accounts of reasoning, judgment and social cognition. Annual Review of Psychology, 59(1), 255-278
    Eysenbach, G. (2000). Consumer health informatics. British Medical Journal (International edition), 320(7251), 1713-1716.
    Eysenck, M. W., & Calvo, M. G. (1992). Anxiety and performance: the processing efficiency theory. Cognition and Emotion, 6(6), 409-434.
    Ferran-Urdaneta, C., & Henderson, J. C. (2000). The effects of videoconferencing on persuasion, Unpublished Ph.D. Dissertation, School of Management, Boston University, Boston.
    Flanagin, A. J., & Metzger, M. J. (2013). Trusting expert-versus user-generated ratings online: The role of information volume, valence, and consumer characteristics. Computers in Human Behavior, 29(4), 1626-1634.
    Fornell, C., & Larcker, D.F. (1981). Structural equation models with unobservable variables and measurement errors. Journal of Marketing Research, 18(1), 39-50.
    Garver, M. S., & Mentzer, J. T. (1999). Logistics research methods: Employing structural equation modeling to test for construct validity. Journal of Business Logistics, 20(1), 33-57
    Gazan, R. (2010). Microcollaborations in a social Q&A community. Information Processing & Management, 46(6), 693-702.
    Gilly, M.C., Graham, J.L., Wolfinbarger, M.F., & Yale, L.J. (1998). A dyadic study of interpersonal information search. Journal of the Academy of Marketing Science, 26(2), 83-100.
    Goodhue, D. L., Lewis, W., Thompson, R. (2012). Does PLS have advantages for small sample size or non-normal data? MIS Quarterly, 36(3), 981–1001.
    Gray, P. H., & Meister, D. B. (2006). Knowledge sourcing methods. Information & Management, 43(2), 142-156.
    Gray, P.H. & Durcikova, A. (2006). The role of knowledge repositories in technical support environments: Speed versus learning in user performance. Journal of Management Information Systems, 22(3), 159-190
    Gray, P.H., & Meister, D.B. (2004). Knowledge sourcing effectiveness. Management Science, 50(6), 821-834.
    Grewal, D., Gotlieb, J., & Marmorstein, H. (1994). The moderating effects of message framing and source credibility on the price-perceived risk relationship. Journal of Consumer Research, 21(1), 145-153.
    Gupta, A.K., & Govindarajan, V.J. (2000). Knowledge flows within multinational corporations. Strategic Management Journal, 21(4), 473-496.
    Hair, J. F., Ringle, C. M., & Sarstedt, M. (2011). PLS-SEM: Indeed a silver bullet. The Journal of Marketing Theory and Practice, 19(2), 139-152.
    Harder, B. T., & Benke, R. J. (2005). Transportation Technology Transfer: Successes, Challenges, and Needs (Vol. 355). Transportation Research Board.
    Harmon, H. H. (1967). Modern Factor Analysis. University of Chicago Press, Chicago, IL.
    Henningsen, D. D., & Henningsen, M. L. M. (2003). Examining social influence in information-sharing contexts. Small Group Research, 34(4), 391-412
    Hovland C., Janis I.L., & Kelley H.H. (1953). Communication and persuasion: psychological studies of opinion change. New Haven, CT: Yale University Press.
    Hsu, H.Y., & Tsou, H.T. (2011). Understanding customer experiences in online blog environments. International Journal of Information Management, 31(6), 510-523.
    Huber, O., & Kunz, U. (2007). Time pressure in risky decision-making: effect on risk defusing. Psychology Science, 49(4), 415.
    Joe, S. W., & Lin, C. P. (2008). Learning online community citizenship behavior: A socio-cognitive model. CyberPsychology & Behavior, 11(3), 367-370.
    Judd, C. M., & McClelland, G. H. (1989). Data analysis: A model comparison approach. New York: Harcourt Brace Jovanovich.
    Kane, A. A., Argote, L., & Levine, J. M. (2005). Knowledge transfer between groups via personnel rotation: Effects of social identity and knowledge quality. Organizational Behavior and Human Decision Processes, 96(1), 56-71.
    Kao, D. T. (2011). Message sidedness in advertising: The moderating roles of need for cognition and time pressure in persuasion. Scandinavian Journal of Psychology, 52(4), 329-340.
    Kaplan, M. F., & Miller, C. E. (1987). Group decision making and normative versus informational influence: Effects of type of issue and assigned decision rule. Journal of Personality and Social Psychology, 53(2), 306.
    Kaplan, M.F., & Miller, C.E. (1987). Group decision making and normative versus informational influence: Effects of type of issue and assigned decision rule. Journal of Personality and Social Psychology, 53(2), 306-313.
    Kelly, J. R., Jackson, J.W.,& Hutson-Comeaux, S. L. (1997). The effects of time pressure and task differences on influence modes and accuracy in decision-making groups. Personality and Social Psychology Bulletin, 23, 10-22.
    Kim, H. Y., & Kim, Y. K. (2008). Shopping enjoyment and store shopping modes: the moderating influence of chronic time pressure. Journal of Retailing and Consumer Services, 15(5), 410-419.
    Kim, J., Song, J., & Jones, D.R. (2011). The cognitive selection framework of knowledge acquisition strategy in virtual communities. International Journal of Information Management (31), 111-120.
    Knowles, M. S. (1980). The modern practice of adult education. Adult Education, New York.
    Ko, D.G., Kirsch, L.J. & King, W.R. (2005). Antecedents of knowledge transfer from consultants to clients in enterprise system implementations. MIS Quarterly, 29(1), 59-85.
    Kruglanski, A. W., & Thompson, E. P. (1999). Persuasion by a single route: A view from the unimodel. Psychological Inquiry, 10, 83-109.
    Kruglanski, A. W., Pierro, A., Mannetti, L., Erb, H.-P., & Chun, W. Y. (2007). On the parameters of human judgment. Advances in Experimental Social Psychology, 39, 255-303.
    Kuan, K. K., Zhong, Y., & Chau, P. Y. (2014). Informational and Normative Social Influence in Group-Buying: Evidence from Self-Reported and EEG Data. Journal of Management Information Systems, 30(4), 151-178.
    Lazarus, R.S., & Folkman, S. (1984). Stress, appraisal, and coping. New York: Springer.
    Lee, M. K., Shi, N., Cheung, C. M., Lim, K. H., & Sia, C. L. (2011). Consumer's decision to shop online: The moderating role of positive informational social influence. Information & Management, 48(6), 185-191.
    Lee, S., Cappella, J.N., Lerman, C., & Strasser, A.A. (2011). Smoking cues, argument strength and perceived effectiveness of anti-smoking public service announcements (PSAs). Nicotine & Tobacco Research, 13(4), 282-290
    Liang, H., Saraf, N., Hu, Q., Xue, Y. (2007). Assimilation of enterprise systems: The effect of institutional pressures and the mediating role of top management. MIS Quarterly, 31(1), 59–87.
    Liao, S., & Chou, E.Y. (2012). Intention to adopt knowledge through virtual communities: posters vs lurkers. Online Information Review, 36(3), 442-461.
    Lohmoller, J. (1989). Latent variable path modelling with partial least squares. Heidelberg: Physica-Verlag,
    Malhotra, Y., and Galletta, D. 2005. “A Multidimensional Commitment Model of Volitional Systems Adoption and Usage Behavior,” Journal of Management Information Systems (22:1), pp. 117-151.
    Maule, A. J., Hockey, G. R. J., & Bdzola L. (2000). Effects of time pressure on decision making under uncertainty: Changes in affective state and information processing strategy. Acta Psychologica, 104(3), 283-301.
    Nolan, J. M., Schultz, P. W., Cialdini, R. B., Goldstein, N. J., & Griskevicius, V. (2008). Normative social influence is underdetected. Personality and social psychology bulletin, 34(7), 913-923.
    Nonaka, I. (1994). A dynamic theory of organizational knowledge creation. Organization Science, 5(4), 14-37.
    Nonaka, I., & Takeuchi, H. (1995). The knowledge-creating company, New York, Oxford: Oxford University Press.
    Nunnally, J. C. (1978). Psychometric theory, New York: McGraw-Hill.
    O’Keefe, D. J. (2002). Guilt as a mechanism of persuasion. The persuasion handbook: Developments in theory and practice, 329-344.
    Park, C., & Lee, T. (2009). Information direction, website reputation and eWOM effect: A moderating role of product type, Journal of Business Research, 62(1), 61-67.
    Park, H. S., Levine, T. R., Westerman, C. Y. K., Orfgen, T., & Foregger, S. (2007). The effects of argument quality and involve¬ment type on attitude formation and attitude change: A test of dual-process and social judgment predictions. Human Communi¬cation Research, 33(1), 81-102.
    Payne, J. W. (1976). Task complexity and contingent processing in decision making: An information search and protocol analysis. Organizational behavior and human performance, 16(2), 366-387.
    Petty, R. E., & Cacioppo, J. T. (1979a). Effects of forewarning of persuasive intent and involvement on cognitive responses and persuasion. Personality and Social Psychology Bulletin, 5, 173–176.
    Petty, R. E., Cacioppo, J. T., & Schumann, D. (1983). Central and peripheral routes to advertising effectiveness: The moderating role of involvement. Journal of Consumer Research, 10(2), 135-146.
    Petty, R. E., Wheeler, S. C., & Tormala, Z. L. (2003). Persuasion and attitude change. In T. Millon & M. J. Lerner (Eds.), Handbook of psychology: Volume 5: Personality and social psychology (pp. 353-382). Hoboken, NJ: John Wiley.
    Petty, R., & Cacioppo, J. T. (1986). Elaboration likelihood model. In L. Berkowitz (ed.), Advances in experimental social psychology (pp. 123-205). San Diego: Academic Press.
    Podsakoff, P. M., MacKenzie, S. B., Podsakoff, N. P. (2003). Common method biases in behavioral research: A critical review of the literature and recommended remedies. Journal of Applied Psychology, 88(5), 879–903.
    Poston, R.S. & Speier, C. (2005), ‘‘Effective use of knowledge management systems: a process model of content ratings and credibility indicators’’, MIS Quarterly, Vol. 29 No. 2, pp. 221-44.
    Preece, J. (1999). Empathic communities: Balancing emotional and factual communication. Interacting with Computers: The Interdisciplinary Journal of Human-Computer Interaction, 12(1), 63-77.
    Price, S. L., & Hersh, W. R. (1999). Filtering web pages for quality indicators: An empirical approach to finding high quality consumer health information on the World Wide Web. In N.M. Lorenzi (ed.), Proceedings of the AMIA 1999 Annual Symposium. Philadelphia: Hanley & Belfus, 911-915.
    Price, S. L., & Hersh, W. R. (1999). Filtering Web pages for quality indicators: an empirical approach to finding high quality consumer health information on the World Wide Web. In Proceedings of the AMIA Symposium (p. 911). American Medical Informatics Association.
    Punj, G. & Moore, R. (2009). Information search and consideration set formation in a web-based store environment, Journal of Business Research, 62(6), 644-650.
    Qiu, L., & Li, D., "Effects of Aggregate Rating on eWOM Acceptance: An Attribution Theory Perspective" (2010).PACIS 2010 Proceedings.Paper 147.
    Rashotte, L. (2007). Social influence. The blackwell encyclopedia of social psychology, 9, 562-563.
    Rogers, E. M. (1995). Diffusion of innovations. New York.
    Schwarz, A., Schwarz, C., Rizzuto, T. (2008). Examining the “urban legend” of common method bias: Nine common errors and their impact. Proceedings of the 41st Annual Hawaii International Conference on System Sciences (HICSS 2008), 441–451.
    Senecal, S. & Nantel, J. (2004). The influence of online product recommendations on consumers’ online choices. Journal of Retailing, 80(2), 159-169.
    Simonson, I., & Tversky, A. (1992). Choice in context: Tradeoff contrast and extremeness aversion. Journal of marketing research, 29, pp. 281–295
    Singley, M. K., & Anderson, J. R. (1989). Transfer of cognitive skill. Cambridge, MA: Harvard University Press.
    Steblay, N. M. (1997). Social influence in eyewitness recall: A meta-analytic review of lineup instruction effects. Law and Human Behavior, 21(3), 283.
    Steffes, E. M., & Burgee, L. E. (2009). Social ties and online word of mouth, Internet Research, 19(1), 42-59.
    Straub, D., Boudreau, M.-C., Gefen, D. (2004). Validation guidelines for IS positivist research. Communications of the Association for Information Systems, 13, 380–427.
    Stuhlmacher, A. F., Gillespie, T. L., & Champagne, M. V. (1998). The impact of time pressure in negotiation: A meta-analysis. International Journal of Conflict Management, 9(2), 97-115.
    Suraweera, T., Sumanadasa, S. S., & Abeyrathne, P. (2011). Knowledge adoption in industrial craftsmen: The case of eye accident victims. International Journal of Technology, Knowledge & Society, 7(1), 27-35.
    Suri, R., & Monroe, K. B. (2003). The effects of time constraints on consumers' judgments of prices and products. Journal of Consumer Research, 30(1), 92-104.
    Sussman, S. W., & Siegal, W. S. (2003). Informational influence in organizations: An integrated approach to knowledge adoption. Information Systems Research, 14(1), 47-65.
    Szulanski, G. (2000). The process of knowledge transfer: A diachronic analysis of stickiness. Organizational Behavior & Human Decision Processes, 82(1), 9-27.
    Teo, H.H., Chan, H.C., Wei, K.K., & Zhang, Z. (2003).Evaluating information accessibility and community adaptivity features for sustaining virtual learning communities, International Journal of Human–Computer Studies, 59(5), 671-697.
    Thomas, R. W., Esper, T. L., & Stank, T. P. (2010). Testing the negative effects of time pressure in retail supply chain relationships. Journal of Retailing, 86(4), 386-400.
    Thomas, R. W., Esper, T. L., & Stank, T. P. (2010). Testing the negative effects of time pressure in retail supply chain relationships. Journal of Retailing, 86(4), 386-400.
    Thompson, R. L., Higgins, C. A., & Howell, J. M. (1991). Personal computing: toward a conceptual model of utilization. MIS quarterly, 125-143.
    Vandenbosch, B., & Higgins, C. (1996). Information acquisition and mental models: An investigation into the relationship between behavior and learning. Information Systems Research, 7(2), 198-214.
    Venkatesh, V., & Brown, S. A. (2001). A longitudinal investigation of personal computers in homes: adoption determinants and emerging challenges. MIS quarterly, 71-102.
    Venkatesh, V., & Davis, F. D. (2000). A theoretical extension of the technology acceptance model: four longitudinal field studies. Management science, 46(2), 186-204.
    Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D. (2003). User acceptance of information technology: Toward a unified view. MIS quarterly, 425-478.
    Waardenburg, T., Winkel, R., & Lamers, M. H. (2012). Normative social influence in persuasive technology: intensity versus effectiveness. In Persuasive Technology. Design for Health and Safety (pp. 145-156). Springer Berlin Heidelberg.
    Wang, H., & Doong, H. (2010). Argument form and spokesperson type: The recommendation strategy of virtual salespersons. International Journal of Information Management, 30(6), 493-501
    Wang, Y., Meister, D. B., & Gray, P. H. (2013). Social influence and knowledge management systems use: evidence from panel data. MIS Quarterly, 37(1), 299-313.
    Wathen, C.N., & Burkell, J. (2002). Believe it or not: Factors influencing credibility on the Web. Journal of the American Society for Information Science and Technology, 53(2), 134-144.
    Wenger, E. (1998). Communities of practice: learning, meaning, and identity. Cambridge, UK: Cambridge University Press.
    Williams, L. J., Edwards, J. R., Vandenberg, R. J. (2003). Recent advances in causal modeling methods for organizational and management research. Journal of Management, 29(6), 903–936.
    Winquist, J. R., & Larson Jr, J. R. (1998). Information pooling: When it impacts group decision making. Journal of Personality and Social Psychology, 74(2), 371.
    Wittenbrink, B., & Henly, J. R. (1996). Creating social reality: Informational social influence and the content of stereotypic beliefs. Personality and Social Psychology Bulletin, 22(6), 598-610.
    Yoo, D. K., Vonderembse, M. A., & Ragu-Nathan, T. S. (2011). Knowledge quality: antecedents and consequence in project teams. Journal of Knowledge Management, 15(2), 329-343.
    Yu, S., Kim, Y. & Kim, M. (2007), ‘‘Do we know what really drives KM performance?’’, Journal of Knowledge Management, Vol. 11 No. 6, pp. 39-53.
    Zhang, K.Z.K., Cheung, C.M.K., & Lee, M.K.O. (2014). Examining the moderating effect of inconsistent reviews and its gender differences on consumers' online shopping decision. International Journal of Information Management, 34(2), 89-98.
    Zhang, W., & Watts, S. (2003). Knowledge adoption in online communities of practice. In S. T. March, A. Massey, and J. I. DeGross (eds.), 24th International Conference on Information Systems. Atlanta: AIS, 96-109.
    Zhang, W., & Watts, S. A., (2008). Capitalizing on content: Information adoption in two online communities, Journal of the Association for Information Systems, 9(2), 73-94.
    Zhao, X., Strasser, A., Cappella, J. N., Lerman, C., & Fishbein, M. (2011). A Measure of Perceived Argument Strength: Reliability and Validity. Communication Methods and Measures, 5(1), 48-75.
    Zhu, H., & Huberman, B. A. (2014). To Switch or Not To Switch Understanding Social Influence in Online Choices. American Behavioral Scientist, 58(10), 1328-1344.
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