Does the Knowledge Sharing Self-Efficacy Moderate the Relationship between Knowledge Collecting Behavior and Social Networking?

Authors

  • Sarah Khan

Keywords:

Knowledge Collecting, Social Networking, Knowledge Sharing Self-efficacy

Abstract

Purpose: Today, the biggest challenge most organizations are facing is how to make effective use of available social networking technologies for enhancing employees' proficiency and productivity. That has recently gained considerable attention from organizations around the world that are encountering a pattern change in their overall business environment and specific operational requirements. The purpose of this study is to examine the direct impact of knowledge collecting behavior on employees’ productivity and an indirect effect through social networking technologies.

 Design and Methodology: The sample data were collected from employees working in service sector organizations located in Islamabad, Rawalpindi, and Wah Cantt, cities of the Northern Punjab region of Pakistan. Structural Equation Modelling technique using the Smart PLS software tool was applied to the data for statistical analysis.

 Findings: The results have shown that the hypothesis direct effect of knowledge collecting behavior and an indirect effect through knowledge sharing self-efficacy on social networking are significant. Furthermore, the self-efficacy factor proved to be a significant positive moderator in strengthening the direct relationship between knowledge collecting and social networking.

 Implications: The findings provided useful insight for policymakers in service sector organizations for planning effective use of social networking technologies and crafting knowledge collecting behavior among employees for achieving desired organizational outcomes. The study also identified useful future avenues for researchers to extend their studies on similar lines.

 

 

References

Ali, F., Rasoolimanesh, S. M., Sarstedt, M., Ringle, C. M., & Ryu, K. (2018). An assessment of the use of partial least squares structural equation modeling (PLS-SEM) in hospitality research. International Journal of Contemporary Hospitality Management, 20(1), 514-538.

Alshahrani, H., & Pennington, D. R. (2018). “Why not use it more?” Sources of self-efficacy in researchers’ use of social media for knowledge sharing. Journal of Documentation, 74(6),1274-1292.

AlShamsi, O., & Ajmal, M. (2018). Critical factors for knowledge sharing in technology-intensive organizations: evidence from UAE service sector. Journal of Knowledge Management, 22(2), 384-412.

Bilginoğlu, E., & Yozgat, U. (2018). Perceived training intensity and knowledge sharing among banking sector employees in Turkey: Examining the moderating role of intrinsic motivation and self-efficacy. Yaşam Becerileri Psikoloji Dergisi, 2(4), 361-371.

Boateng, H., Agyemang, F. G., Okoe, A. F., & Mensah, T. D. (2017). Examining the relationship between trustworthiness and students’ attitudes toward knowledge sharing. Library Review, 66(1/2),16-27.

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

Cole, C. (2017). Looking for information: A survey of research on information seeking, needs, and behavior . Donald O. Case and Lisa M. Given. Bingley, UK: Emerald Group Publishing, 2016. 528 pp. $82.95 (hardcover).(ISBN: 9781785609688). Journal of the Association for Information Science and Technology, 68(9), 2284-2286.

David, F., Lapian, S. J., & Pandowo, M. (2018). The Effect Of Organizational Justice And Self Efficacy On Knowledge Sharing In M-19 Shop At Manado. Jurnal EMBA: Jurnal Riset Ekonomi, Manajemen, Bisnis dan Akuntansi, 6(4), 58-73.

Drucker, P. F. (1999). Knowledge-worker productivity: The biggest challenge. California management review, 41(2), 79-94.

Durdyev, S., Ihtiyar, A., Banaitis, A., & Thurnell, D. (2018). The construction client satisfaction model: a PLS-SEM approach. Journal of Civil Engineering and Management, 24(1), 31-42.

El-Helaly, N., Ebeid, A., & El-Menbawey, A. (2015). The role of customer knowledge management process in service recovery performance: an applied study to the egyptian national railways. International journal of management and applied research, 2(1), 1-21.

Ellison, N. B., Gibbs, J. L., & Weber, M. S. (2015). The use of enterprise social network sites for knowledge sharing in distributed organizations: The role of organizational affordances. American Behavioral Scientist, 59(1), 103-123.

Fan, W., & Gordon, M. D. (2014). The power of social media analytics. Communications of the ACM, 57(6), 74-81.

Faul, F., Erdfelder, E., Lang, A.-G., & Buchner, A. (2007). G* Power 3: A flexible statistical power analysis program for the social, behavioral, and biomedical sciences. Behavior research methods, 39(2), 175-191.

Fernández, H., Tedeschi, C., & Priol, T. (2013). A chemistry-inspired workflow management system for decentralizing workflow execution. IEEE Transactions on Services Computing, 9(2), 213-226.

Grant, R. M. (2021). Contemporary strategy analysis: John Wiley & Sons.

Hair Jr, J. F., Sarstedt, M., Hopkins, L., & Kuppelwieser, V. G. (2014). Partial least squares structural equation modeling (PLS-SEM): An emerging tool in business research. European business review, 6(2), 106-121.

He, W., & Xu, G. (2016). Social media analytics: unveiling the value, impact and implications of social media analytics for the management and use of online information. Online Information Review, 40(1).

Huang, P.-S., & Shih, L.-H. (2009). Effective environmental management through environmental knowledge management. International Journal of Environmental Science & Technology, 6(1), 35-50.

Hult, G. T. M., Hair Jr, J. F., Proksch, D., Sarstedt, M., Pinkwart, A., & Ringle, C. M. (2018). Addressing endogeneity in international marketing applications of partial least squares structural equation modeling. Journal of International Marketing, 26(3), 1-21.

Iazzolino, G., & Laise, D. (2016). Value creation and sustainability in knowledge-based strategies. Journal of Intellectual Capital, 17(3), 457-470.

Kaewchur, O., & Phusavat, K. (2016). Key factors influencing knowledge sharing. International Journal of Humanities and Management Sciences (IJHMS), 4(3), 236-237.

Kankanhalli, A., Tan, B. C., & Wei, K.-K. (2005). Contributing knowledge to electronic knowledge repositories: An empirical investigation. MIS quarterly, 29(1), 113-143.

Krejcie, R. V., & Morgan, D. W. (1970). Determining sample size for research activities. Educational and psychological measurement, 30(3), 607-610.

Kuegler, M., Smolnik, S., & Kane, G. (2015). What’s in IT for employees? Understanding the relationship between use and performance in enterprise social software. The Journal of Strategic Information Systems, 24(2), 90-112.

Kwahk, K.-Y., & Park, D.-H. (2016). The effects of network sharing on knowledge-sharing activities and job performance in enterprise social media environments. Computers in Human Behavior, 55, 826-839.

Leonardi, P. M. (2014). Social media, knowledge sharing, and innovation: Toward a theory of communication visibility. Information systems research, 25(4), 796-816.

Leonardi, P. M. (2015). Ambient awareness and knowledge acquisition: using social media to learn ‘who knows what’and ‘who knows whom’. Mis Quarterly, 39(4), 747-762.

Leonardi, P. M., & Meyer, S. R. (2015). Social media as social lubricant: How ambient awareness eases knowledge transfer. American Behavioral Scientist, 59(1), 10-34.

Lin, K.-Y., & Lu, H.-P. (2011). Why people use social networking sites: An empirical study integrating network externalities and motivation theory. Computers in Human Behavior, 27(3), 1152-1161.

McKinlay, E. M., Morgan, S. J., Gray, B. V., Macdonald, L. M., & Pullon, S. R. (2017). Exploring interprofessional, interagency multimorbidity care: case study based observational research. Journal of Comorbidity, 7(1), 64-78.

Menni, C., Lin, C., Cecelja, M., Mangino, M., Matey-Hernandez, M. L., Keehn, L., . . . Kuo, C.-F. (2018). Gut microbial diversity is associated with lower arterial stiffness in women. European Heart Journal, 39(25), 2390-2397.

Moussa, M., Bright, M., & Varua, M. E. (2017). Investigating knowledge workers’ productivity using work design theory. International Journal of Productivity and Performance Management, 66(6), 822-834.

Okkonen, J., Vuori, V., & Palvalin, M. (2019). Digitalization Changing Work: Employees’ view on the benefits and hindrances. Paper presented at the International Conference on Information Technology & Systems.

Oostervink, N., Agterberg, M., & Huysman, M. (2016). Knowledge sharing on enterprise social media: Practices to cope with institutional complexity. Journal of Computer-Mediated Communication, 21(2), 156-176.

Puspitasari, D. (2021). Blended Learning Environment: Promoting Learners'self-Efficacy. Eltall: English Language Teaching, Applied Linguistic and Literature, 2(1), 39-51.

Rahman, N. (2020). Understanding the Impact of Knowledge Sharing through Enterprise Social Networking (ESN) on Service Innovation. Paper presented at the Proceedings of the 53rd Hawaii International Conference on System Sciences.

Raja, F. U., & Ansari, S. (2018). Social Networking Applications And Employees’performance. Sindh Madressatul Islam University, Karachi, 43.

Rigdon, E. E., Becker, J.-M., & Sarstedt, M. (2019). Parceling cannot reduce factor indeterminacy in factor analysis: A research note. psychometrika, 84(3), 772-780.

Rogers, D. S. (2018). Social Media Policy to Support Employee Productivity in the Finance Industry.

Safdar, M., Batool, S. H., & Mahmood, K. (2020). Relationship between self-efficacy and knowledge sharing: systematic review. Global Knowledge, Memory and Communication.

Sarstedt, M., Ringle, C. M., & Hair, J. F. (2017). Partial least squares structural equation modeling. Handbook of market research, 26(1), 1-40.

Shmueli, G., Sarstedt, M., Hair, J. F., Cheah, J.-H., Ting, H., Vaithilingam, S., & Ringle, C. M. (2019). Predictive model assessment in PLS-SEM: guidelines for using PLSpredict. European Journal of Marketing.

Stewart, T., & Ruckdeschel, C. (1998). Intellectual capital: The new wealth of organizations: Wiley Online Library.

Stieglitz, S., Mirbabaie, M., Ross, B., & Neuberger, C. (2018). Social media analytics–Challenges in topic discovery, data collection, and data preparation. International journal of information management, 39, 156-168.

Treem, J. W., & Leonardi, P. M. (2013). Social media use in organizations: Exploring the affordances of visibility, editability, persistence, and association. Annals of the International Communication Association, 36(1), 143-189.

Van Den Hooff, B., & De Ridder, J. A. (2004). Knowledge sharing in context: the influence of organizational commitment, communication climate and CMC use on knowledge sharing. Journal of knowledge management, 8(6), 117-130.

Willaby, H. W., Costa, D. S., Burns, B. D., MacCann, C., & Roberts, R. D. (2015). Testing complex models with small sample sizes: A historical overview and empirical demonstration of what Partial Least Squares (PLS) can offer differential psychology. Personality and Individual Differences, 84, 73-78.

Yeshambel, T., Belete, M., & Mulualem, Y. (2016). Impact of online social networking on employees productivity at work place in university of Gondar-A case study. International Journal of Computer Applications, 135(3), 18-24.

Downloads

Published

2021-12-31

How to Cite

Sarah Khan. (2021). Does the Knowledge Sharing Self-Efficacy Moderate the Relationship between Knowledge Collecting Behavior and Social Networking?. UW Journal of Management Sciences, 5(1), 27–43. Retrieved from https://uwjms.org.pk/index.php/uwjms/article/view/16