The Effect of Self-Efficacy on Knowledge-Sharing Behavior in Virtual Communities: The Moderating Role of Online Informational Support

Main Article Content

Song Lu
Yuanfeng Cai

Abstract

With the development of social media, virtual communities have become valuable platforms for knowledge sharing. However, despite the significant role virtual communities play in promoting user interaction and facilitating information exchange, the insufficient supply of knowledge has become a key factor limiting their sustained development. Therefore, identifying the factors and mechanisms that influence knowledge-sharing behavior in virtual communities is particularly important. This study aims to explore the impact of self-efficacy on knowledge-sharing behavior by constructing a comprehensive model and collecting data from 421 Chinese virtual community users through a convenience sampling online survey. The model was tested using Partial Least Squares Structural Equation Modeling (PLS-SEM), explaining the relationships between self-efficacy, attitudes toward knowledge sharing, online social support, and knowledge-sharing behavior. The results indicate that self-efficacy does not directly drive users' knowledge-sharing behavior but instead exerts an indirect influence through its effect on users' attitudes toward knowledge sharing. Additionally, the study reveals that online informational support can enhance the positive impact of self-efficacy on attitudes toward knowledge sharing. This research offers new perspectives and empirical evidence on knowledge-sharing behavior in virtual communities and provides practical guidance for community managers.

Article Details

How to Cite
Lu, S., & Cai, Y. . (2024). The Effect of Self-Efficacy on Knowledge-Sharing Behavior in Virtual Communities: The Moderating Role of Online Informational Support. Journal of Social Development and Management Strategy, 26(2), 183–205. Retrieved from https://so04.tci-thaijo.org/index.php/jsd/article/view/275125
Section
บทความวิจัย Research Article

References

Aguirre-Urreta, M. I., & Hu, J. (2019). Detecting common method bias: Performance of Harman's single-factor test. ACM SIGMIS Database: The DATABASE for Advances in Information Systems, 50(2), 45-70. https://doi.org/10.1145/3320515.3320519

Ahmed, Y. A., Ahmad, M. N., Ahmad, N., & Zakaria, N. H. (2019). Social media for knowledge-sharing: A systematic literature review. Telematics and Informatics, 37, 72–112. https://doi.org/10.1016/j.tele.2018.01.015

Ajzen, I., & Fishbein, M. (2000). Attitudes and the attitude-behavior relation: Reasoned and automatic processes. European Review of Social Psychology, 11(1), 1-33. https://doi.org/10.1080/14792779943000116

Akosile, A., & Olatokun, W. (2020). Factors influencing knowledge sharing among academics in Bowen University, Nigeria. Journal of Librarianship and Information Science, 52(2), 410–427. https://doi.org/10.1177/0961000618820936

Armstrong, A. (1996). The real value of on-line communities. Europa Junta, 3, 134.

Bandura, A. (1977). Self-efficacy: Toward a unifying theory of behavioral change. Psychological Review, 84(2), 191–215. https://doi.org/10.1037/0033-295X.84.2.191

Bock, G. W., Zmud, R. W., Kim, Y. G., & Lee, J. N. (2005). Behavioral intention formation in knowledge sharing: Examining the roles of extrinsic motivators, social-psychological forces, and organizational climate. MIS Quarterly, 29(1), 87-111. https://doi.org/10.2307/25148669

Brislin, R. W. (1970). Back-translation for cross-cultural research. Journal of Cross-Cultural Psychology, 1(3), 185-216. https://doi.org/10.1177/135910457000100301

Bugshan, H., & Attar, R. W. (2020). Social commerce information sharing and their impact on consumers. Technological Forecasting and Social Change, 153, 119875. https://doi.org/10.1016/j.techfore.2020.119875

Chandran, D., & Alammari, A. M. (2021). Influence of culture on knowledge sharing attitude among academic staff in eLearning virtual communities in Saudi Arabia. Information Systems Frontiers, 23(6), 1563–1572. https://doi.org/10.1007/s10796-020-10090-w

Chen, S.-S., Chuang, Y.-W., & Chen, P.-Y. (2012). Behavioral intention formation in knowledge sharing: Examining the roles of KMS quality, KMS self-efficacy, and organizational climate. Knowledge-Based Systems, 31, 106–118. https://doi.org/10.1016/j.knosys.2012.02.017

Chin, W. W. (1998). The partial least squares approach to structural equation modeling. In G. A. Marcoulides (Ed.), Modern methods for business research (pp. 295-336). Lawrence Erlbaum Associates.

Chiu, C.-M., Huang, H.-Y., Cheng, H.-L., & Sun, P.-C. (2015). Understanding online community citizenship behaviors through social support and social identity. International Journal of Information Management, 35(4), 504–519. https://doi.org/10.1016/j.ijinfomgt.2015.04.009

Choi, G., Nam, C., Kim, S., Jung, H. J., & Lee, C. H. (2020). Where does knowledge-sharing motivation come from? The case of third-party developers in mobile platforms. Journal of Knowledge Management, 24(7), 1681–1704. https://doi.org/10.1108/JKM-02-2020-0093

Chun, J. W., & Lee, M. J. (2017). When does individuals’ willingness to speak out increase on social media? Perceived social support and perceived power/control. Computers in Human Behavior, 74, 120–129. https://doi.org/10.1016/j.chb.2017.04.039

CNNIC. (2024). Statistical report on the development of the internet in China (53rd edition). China Internet Network Information Center. https://www.cnnic.cn/

Cohen, J. (1988). Statistical power analysis for the behavioral sciences (2nd ed.). Lawrence Erlbaum Associates.

Cronbach, L. J. (1951). Coefficient alpha and the internal structure of tests. Psychometrika, 16(3), 297-334. https://doi.org/10.1007/BF02310555

Cutrona, C. E., & Russell, D. W. (1987). The provisions of social relationships and adaptation to stress. In W. H. Jones & D. Perlman (Eds.), Advances in personal relationships (Vol. 1, pp. 37-67). JAI Press.

De Valck, K., Van Bruggen, G. H., & Wierenga, B. (2009). Virtual communities: A marketing perspective. Decision Support Systems, 47(3), 185–203. https://doi.org/10.1016/j.dss.2009.02.008

Deng, X., & Guo, K. (2021). Understanding knowledge sharing in virtual communities: A network perspective. Library Hi Tech, 39(4), 1174–1186. https://doi.org/10.1108/LHT-12-2020-0337

Ergün, E., & Avcı, Ü. (2018). Knowledge sharing self-efficacy, motivation, and sense of community as predictors of knowledge receiving and giving behaviors. Journal of Educational Technology & Society, 21(3), 160-173.

Fang, C., & Zhang, J. (2019). Users’ continued participation behavior in social Q&A communities: A motivation perspective. Computers in Human Behavior, 92, 87–109. https://doi.org/10.1016/j.chb.2018.10.032

Fazio, R. H., Sanbonmatsu, D. M., Powell, M. C., & Kardes, F. R. (1986). On the automatic activation of attitudes. Journal of Personality and Social Psychology, 50(2), 229–238. https://doi.org/10.1037/0022-3514.50.2.229

Ferguson, M. J., & Fukukura, J. (2012). Likes and dislikes: A social cognitive perspective on attitudes. In S. Fiske & N. Macrae (Eds.), The SAGE handbook of social cognition (pp. 165-186). SAGE Publications. https://doi.org/10.4135/9781446247631.n9

Fornell, C. G., & Larcker, D. F. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research, 18(1), 39–50. https://doi.org/10.2307/3151312

Gilmour, J., Machin, T., Brownlow, C., & Jeffries, C. (2020). Facebook-based social support and health: A systematic review. Psychology of Popular Media, 9(3), 328–346. https://doi.org/10.1037/ppm0000235

Guan, M., & So, J. (2016). Influence of social identity on self-efficacy beliefs through perceived social support: A social identity theory perspective. Communication Studies, 67(5), 588-604. https://doi.org/10.1080/10510974.2016.1239645

Hair, J. F., Ringle, C. M., & Sarstedt, M. (2011). PLS-SEM: Indeed a silver bullet. Journal of Marketing Theory and Practice, 19(2), 139–152. https://doi.org/10.2753/MTP1069-6679190202

Hair, J. F., Ringle, C. M., & Sarstedt, M. (2012). Partial least squares: The better approach to structural equation modeling? Long Range Planning, 45(5–6), 312–319. https://doi.org/10.1016/j.lrp.2012.09.011

Hau, Y. S., & Kim, Y.-G. (2011). Why would online gamers share their innovation-conducive knowledge in the online game user community? Integrating individual motivations and social capital perspectives. Computers in Human Behavior, 27(2), 956–970. https://doi.org/10.1016/j.chb.2010.11.022

Hayes, A. F., & Krippendorff, K. (2007). Answering the call for a standard reliability measure for coding data. Communication Methods and Measures, 1(1), 77-89. https://doi.org/10.1080/19312450709336664

Henseler, J., Ringle, C. M., & Sarstedt, M. (2015). A new criterion for assessing discriminant validity in variance-based structural equation modeling. Journal of the Academy of Marketing Science, 43(1), 115-135. https://doi.org/10.1007/s11747-014-0403-8

Hsu, C. L., & Lin, J. C. C. (2008). Acceptance of blog usage: The roles of technology acceptance, social influence and knowledge sharing motivation. Information & Management, 45(1), 65-74. https://doi.org/10.1016/j.im.2007.11.001

Hu, L. T., & Bentler, P. M. (1999). Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Structural Equation Modeling: A Multidisciplinary Journal, 6(1), 1-55. https://doi.org/10.1080/10705519909540118

Hwang, Y., & Kim, D. J. (2007). Customer self-service systems: The effects of perceived Web quality with service contents on enjoyment, anxiety, and e-trust. Decision Support Systems, 43(3), 746-760. https://doi.org/10.1016/j.dss.2006.12.008

Ifinedo, P. (2016). The moderating effects of demographic and individual characteristics on nurses' acceptance of information systems: A Canadian study. International Journal of Medical Informatics, 87, 27-35. https://doi.org/10.1016/j.ijmedinf.2015.12.012

Kankanhalli, A., Tan, B. C. Y., & Wei, K. K. (2005). Contributing knowledge to electronic knowledge repositories: An empirical investigation. MIS Quarterly, 29(1), 113-143. https://doi.org/10.2307/25148670

Kaplan, A. M., & Haenlein, M. (2010). Users of the world, unite! The challenges and opportunities of social media. Business Horizons, 53(1), 59-68. https://doi.org/10.1016/j.bushor.2009.09.003

Kemp, S. (2023). Digital 2023: Global Overview Report. Datareportal. https://datareportal.com/reports/digital-2023-global-overview-report

Kim, S., & Park, H. (2011). Effects of various characteristics of social commerce (s-commerce) on consumers’ trust and trust performance. International Journal of Information Management, 31(5), 543-552. https://doi.org/10.1016/j.ijinfomgt.2011.02.006

Kim, Y. J., & Han, J. Y. (2009). What drives the adoption of mobile data services? An approach from a value perspective. Journal of Information Technology, 24(1), 35-45. https://doi.org/10.1057/jit.2008.30

Kock, N. (2015). Common method bias in PLS-SEM: A full collinearity assessment approach. International Journal of e-Collaboration, 11(4), 1-10. https://doi.org/10.4018/ijec.2015100101

Koh, J., & Kim, Y.-G. (2004). Knowledge sharing in virtual communities: An e-business perspective. Expert Systems with Applications, 26(2), 155–166. https://doi.org/10.1016/S0957-4174(03)00116-7

Kuo, T. H., & Young, M. L. (2008). A study of the intention-action gap in knowledge sharing practices. Journal of the American Society for Information Science and Technology, 59(8), 1227–1237. https://doi.org/10.1002/asi.20802

Lin, H. F. (2007). Knowledge sharing and firm innovation capability: An empirical study. International Journal of Manpower, 28(3/4), 315-332. https://doi.org/10.1108/01437720710755272

Lin, H. F., & Lee, G. G. (2006). Determinants of success for online communities: An empirical study. Behaviour & Information Technology, 25(6), 479-488. https://doi.org/10.1080/01449290500330422

Luo, N., Zhang, M., & Liu, W. (2020). The effects of value co-creation practices on building harmonious brand community and achieving brand loyalty on social media in China. Computers in Human Behavior, 108, 105676. https://doi.org/10.1016/j.chb.2020.105676

Malhotra, Y., & Galletta, D. F. (2004). Building systems that users want to use. Communications of the ACM, 47(12), 88–94. https://doi.org/10.1145/1035134.1035136

Markus, M. L. (1994). Electronic mail as the medium of managerial choice. Organization Science, 5(4), 502-527. https://doi.org/10.1287/orsc.5.4.502

McLure Wasko, M., & Faraj, S. (2005). Why should I share? Examining social capital and knowledge contribution in electronic networks of practice. MIS Quarterly, 29(1), 35-57. https://doi.org/10.2307/25148667

Nahapiet, J., & Ghoshal, S. (1998). Social capital, intellectual capital, and the organizational advantage. Academy of Management Review, 23(2), 242-266. https://doi.org/10.5465/amr.1998.533225

Nambisan, S., & Baron, R. A. (2010). Different roles, different strokes: Organizing virtual customer environments to promote two types of customer contributions. Organization Science, 21(2), 554-572. https://doi.org/10.1287/orsc.1090.0460

Nonaka, I., & Takeuchi, H. (1995). The knowledge-creating company: How Japanese companies create the dynamics of innovation. Oxford University Press.

Pavlou, P. A., & Gefen, D. (2004). Building effective online marketplaces with institution-based trust. Information Systems Research, 15(1), 37-59. https://doi.org/10.1287/isre.1040.0015

Podsakoff, P. M., MacKenzie, S. B., Lee, J. Y., & 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. https://doi.org/10.1037/0021-9010.88.5.879

Putnam, R. D. (2000). Bowling alone: The collapse and revival of American community. Simon & Schuster.

Qu, Y., Zhang, Z., & Li, M. (2010). Impacts of social identity on online knowledge sharing communities: A review of empirical research. International Conference on Management and Service Science, 1-4. https://doi.org/10.1109/ICMSS.2010.5576435

Ridings, C. M., & Gefen, D. (2004). Virtual community attraction: Why people hang out online. Journal of Computer-Mediated Communication, 10(1), JCMC10110. https://doi.org/10.1111/j.1083-6101.2004.tb00229.x

Ryan, R. M., & Deci, E. L. (2000). Intrinsic and extrinsic motivations: Classic definitions and new directions. Contemporary Educational Psychology, 25(1), 54-67. https://doi.org/10.1006/ceps.1999.1020

Sekaran, U., & Bougie, R. (2016). Research methods for business: A skill-building approach (7th ed.). Wiley.

Sharratt, M., & Usoro, A. (2003). Understanding knowledge-sharing in online communities of practice. Electronic Journal of Knowledge Management, 1(2), 187-196.

Shiau, W. L., & Luo, M. M. (2012). Factors affecting online group buying intention and satisfaction: A social exchange theory perspective. Computers in Human Behavior, 28(6), 2431–2444. https://doi.org/10.1016/j.chb.2012.07.030

Shin, D. H., & Biocca, F. (2017). Explicating user behavior toward multi-screen adoption and diffusion: User experience in the multi-screen media ecology. Internet Research, 27(2), 338-361. https://doi.org/10.1108/IntR-06-2016-0162

Song, S., & Chen, H. (2021). Online knowledge-sharing behaviors of engineering students: A social cognitive perspective. Computers & Education, 167, 104170. https://doi.org/10.1016/j.compedu.2021.104170

Sun, Y., Liu, D., Chen, S., Wu, X., Shen, X.-L., & Zhang, X. (2020). Understanding users’ knowledge-sharing behavior on social networking sites: An integration of social capital and social cognitive theories. Internet Research, 30(6), 1687-1708. https://doi.org/10.1108/INTR-07-2019-0280

Tan, C.-N., & Ramayah, T. (2014). The role of motivators in improving knowledge-sharing among academics. Information Development, 30(1), 36-50. https://doi.org/10.1177/0266666913479983

Tao, L., & Zhao, J. (2020). Do different kinds of motivations influence knowledge-sharing behavior? A case study on technology-oriented crowdsourcing. Journal of Knowledge Management, 24(4), 829-843. https://doi.org/10.1108/JKM-10-2019-0563

Teo, T. S. H., & Pian, Y. (2003). Exploring the influence of perceived and actual electronic commerce security on consumer trust. Journal of Retailing and Consumer Services, 10(3), 171-181. https://doi.org/10.1016/S0969-6989(02)00037-8

Thompson, R. L., Higgins, C. A., & Howell, J. M. (1991). Personal computing: Toward a conceptual model of utilization. MIS Quarterly, 15(1), 125-143. https://doi.org/10.2307/249442

Tse, A. C. B., & So, S. (2018). The effects of knowledge sharing on customer relationship management (CRM) systems success: A structural equation modeling approach. Computers in Human Behavior, 81, 114-125. https://doi.org/10.1016/j.chb.2017.11.022

Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D. (2003). User acceptance of information technology: Toward a unified view. MIS Quarterly, 27(3), 425-478. https://doi.org/10.2307/30036540

Wasko, M. M., & Faraj, S. (2000). “It is what one does”: Why people participate and help others in electronic communities of practice. Journal of Strategic Information Systems, 9(2-3), 155-173. https://doi.org/10.1016/S0963-8687(00)00045-7

Wegge, J., Roth, C., Neubach, B., & Schmidt, K. H. (2006). Work motivation, organizational commitment, and job performance: A theoretical analysis and a longitudinal study. The Journal of Applied Psychology, 91(1), 87-100. https://doi.org/10.1037/0021-9010.91.1.87

Wheeler, P. (2020). Understanding the role of social networks in enhancing social capital for knowledge sharing. International Journal of Information Management, 52, 102058. https://doi.org/10.1016/j.ijinfomgt.2020.102058

Xia, L., & Bechwati, N. N. (2008). The impact of online customer reviews on retailer reputation and sales. International Journal of Retail & Distribution Management, 36(7), 579-599. https://doi.org/10.1108/09590550810897567

Xu, S., & Saqib, N. (2018). Exploring the relationships between social capital and knowledge sharing in online communities. Computers in Human Behavior, 80, 135-146. https://doi.org/10.1016/j.chb.2017.10.020

Yang, H. D., & Yoo, Y. (2004). It is all about me: The role of personal innovativeness in the acceptance of information technology. Journal of Organizational and End User Computing, 16(1), 1-23. https://doi.org/10.4018/joeuc.2004010101

Yin, Z., Zhang, J., & Liu, H. (2020). The effects of customer participation on knowledge sharing in online communities: A dual-process model. Computers in Human Behavior, 107, 105596. https://doi.org/10.1016/j.chb.2020.105596

Zhang, H., & Li, T. (2017). An exploration of the role of trust in knowledge sharing in online communities. Computers in Human Behavior, 66, 81-90. https://doi.org/10.1016/j.chb.2016.09.030

Zhang, X., & Li, J. (2011). Social interaction, knowledge sharing, and performance: A multilevel perspective. Journal of Knowledge Management, 15(5), 853-871. https://doi.org/10.1108/13673211111174992

Zhou, L., & Lu, Y. (2011). The impact of knowledge sharing on innovation performance: A study of the role of social capital and absorptive capacity. Journal of Business Research, 64(12), 1293-1300. https://doi.org/10.1016/j.jbusres.2010.12.004