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2018 | 1(7) | 48-65

Article title

The Impact of Social Media Usage on Employee and Organization Performance: A Study on Social Media Tools Used by an IT Multinational in Malaysia

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Abstracts

PL
The purpose of this research is to examine the impact of social media usage on employee and organization performance. The research was done on one multinational IT Company. Social media usage was measured using knowledge sharing, decision making and communication. Organizational performance was measured using employee and organization performance. Questionnaires were developed and the items were measured using a Likert scale ranging from 1 to 5. This research takes on an explanatory approach and the sample consisting of 206 employees working in call center departments was recruited. The data was analyzed using SPSS 21 and AMOS 22 software. The results showed that only decision making has a positive and signifi cant impact on employee high performance and organizational performance. We found no signifi cant impact of the other two dimensions of social media usage (knowledge sharing and communication) on employee high performance and organizational performance. Therefore, this study suggests that top management in MNC companies as well as employees should consider social media usage for effective decision making to increase employee performance and organizational performance. This research contributes to existing studies on this topic, and future research could put emphasis on extending this research to another country or industry.

Contributors

  • School of Accounting and Business Management FTMS COLLEGE, MALAYSIA
author
  • School of Accounting and Business Management FTMS COLLEGE, MALAYSIA
author
  • School of Accounting and Business Management FTMS COLLEGE, MALAYSIA

References

  • Ali-Hassan, H., Nevo, D., & Wade, M. (2015). Linking dimensions of social media use to job performance: The role of social capital. The Journal of Strategic Information Systems, 24(2), 65–89.
  • Alvin, T. (1990). Power shift. Knowledge, wealth and violence at the edge of the 21st century.
  • Babiker, M.E.I. (2017). An evaluation of the use of social media and how it affects productivity/cost effectiveness at the workplace (Doctoral dissertation). Cardiff Metropolitan University.
  • Bajpai, S. & Bajpai, R. (2014). Goodness of measurement: Reliability and validity.
  • Baker, D., Buoni, N., Fee, M., & Vitale, C. (2011). Social networking and its effects on companies and their employees.
  • Batikas, M. & Van Bavel, R. (2013). Assessing the benefi ts of social networks for organizations (No. JRC85669). Joint Research Centre (Seville site).
  • Bel, R., Smirnov, V., & Wait, A. (2018). Managing change: Communication, managerial style and change in organizations. Economic Modelling, 69, 1–12.
  • Bercovici, J. (2010, December 9). Who coined “social media”? Web pioneers compete for credit. Retrieved from http://blogs.forbes.com/jeffbercovici/2010/12/09/ who-coined-social-media-web-pioneers-compete-forcredit/ (14 October 2017).
  • Boyd, D.M. & Ellison, N.B. (2007). Social network sites: Defi nition, history, and scholarship. Journal of Computer- Mediated Communication, 13, 210–230.
  • Bughin, J. & Chui, M. (2010, December). The rise of the networked enterprise: Web 2.0 fi nds its payday. McKinsey Quarterly (online). Retrieved from http://www.mckinsey- quarterly.com (27 December 2017).
  • BusinessDictionary. (2017). Defi nition of organization (online). Retrieved from http://www.businessdictionary.com/defi nition/organization.html (11 October 2017).
  • Burclaff, N. & Johnson, C.R. (2016). Teaching information literacy via social media: An exploration of connectivism.
  • Burks, F (2017). What distinguishes a high-performing employee from an average performer? (online). Retrieved from http://smallbusiness.chron.com/distinguishes-highperforming-employee-average-performer-39432.html (11 October 2017).
  • Cao, X., Guo, X., Vogel, D., & Zhang, X. (2016). Exploring the infl uence of social media on employee work performance. Internet Research, 26(2), 529–545.
  • Chand, S. (2016). Decision making in management: Defi nition and Features – Explained! (online). Retrieved from http://www.yourarticlelibrary.com/decision-making/decision-making-in-management-defi nition-andfeatures-explained/25657/ (6 October 2017).
  • CIMA. (2007) Effective decision making (online). Retrieved from http://www.cimaglobal.com/Documents/ImportedDocuments/40_Effective_Decision_Making.pdf (5 October 2017).
  • Comrey, A.L. & Lee, H.B. (1992). A fi rst course in factor analysis (2nd ed.). Hillsale, New Jersey: Erlbaum.
  • Culnan, M.J., McHugh, P.J., & Zubillaga, J.I. (2010). How large US companies can use Twitter and other social media to gain business value. MIS Quarterly Executive, 9(4).
  • Davenport, T.H. & Prusak, L. (1998). Working knowledge: How organizations manage what they know. Harvard Business Press.
  • DeVito, J.A. (1986). The communication handbook: A dictionary. Harpercollins.
  • Dhanaraj, C., Lyles, M.A., Steensma, H.K., & Tihanyi, L. (2004). Managing tacit and explicit knowledge transfer in IJVs: The role of relational embeddedness and the impact on performance. Journal of International Business Studies, 35(5), 428–442.
  • Divya, S. & Regi, B. (2014). An empirical study on effectiveness of social media as a marketing tool. International Journal of Current Research and Academic Review.
  • Farrell, R.G., Kellogg, W.A., & Thomas, J.C. (2008). The participatory web and the socially resilient enterprise. In Proceedings of CSCW (pp. 64–74). IBM TJ Watson Research Center.
  • Gaál, Z., Szabó, L., Obermayer-Kovács, N., & Csepregi, A. (2015). Exploring the role of social media in knowledge sharing. Electronic Journal of Knowledge Management, 13(3).
  • George, D. & Mallery, M. (2003). Using SPSS for Windows step by step: A simple guide and reference.
  • Gottschalk, P. (Ed.). (2006). CIO and corporate strategic management: Changing role of CIO to CEO. IGI Global.
  • Häggman, S.K. (2009). Functional actors and perceptions of innovation attributes: infl uence on innovation adoption. European Journal of Innovation Management, 12(3), 386–407.
  • Hair Jr., J.F., Black, W.C., Babin, B.J., & Anderson, R.E. (2010). Multivariate data analysis – A global perspective (7th ed.). Upper Saddle River: Pearson Education.
  • Harris, R. (2012). Introduction to decision making (online). Retrieved from http://www.virtualsalt.com/crebook5.htm(5 October 2017).
  • Holmes-Smith, P. (2001). Introduction to structural equation modeling using LISREL. Perth: ACSPRI-Winter training program.
  • Holmes-Smith, P., Coote, L., & Cunningham, E. (2006). Structural equation modeling: From the fundamentals to advanced topics. Melbourne: SREAMS.
  • Hsu, M.H., Ju, T.L., Yen, C.H., & Chang, C.M. (2007). Knowledge sharing behavior in virtual communities: The relationship between trust, self-effi cacy, and outcome expectations. International Journal of Human-Computer Studies, 65(2), 153–169.
  • Huang, Y., Singh, P.V., & Ghose, A. (2015). A structural model of employee behavioral dynamics in enterprise social media. Management Science, 61(12), 2825–2844.
  • Hung, S.Y., Lai, H.M., & Chang, W.W. (2011). Knowledge-sharing motivations affecting R&D employees’ acceptance of electronic knowledge repository. Behaviour & Information Technology, 30(2), 213–230.
  • Jiang, H., Luo, Y., & Kulemeka, O. (2017). Strategic social media use in public relations: Professionals’ perceived social media impact, leadership behaviors, and work-life confl ict. International Journal of Strategic Communication, 11(1), 18–41.
  • Kang, Y.J., Kim, S.E., & Chang, G.W. (2008). The impact of knowledge sharing on work performance: An empirical analysis of the public employees’ perceptions in South Korea. Intl Journal of Public Administration, 31(14),1548–1568.
  • Kaplan, A.M. & Haenlein, M. (2010). Users of the world, unite! The challenges and opportunities of social media. Business Horizons, 53(1), 59–68.
  • Kaur, K. (2015). Social media creating digital environmental publics: Case of Lynas Malaysia. Public Relations Review, 41(2), 311–314.
  • Kline, R. B. (2011). Principles and practice of structural equation modeling. New York: Guilford Press.
  • Kromhout, P.J. (2011). The effect of media usage, trust, and relations on the productivity, innovativeness and flexibility of teleworkers, and how knowledge sharing and telework frequency influences these relationships. Erasmus Universiteit.
  • Kuvaas, B. (2006). Work performance, affective commitment, and work motivation: The roles of pay administration and pay level. Journal of Organizational Behavior, 27(3), 365–385.
  • 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.
  • Langer, E. (2014). What’s trending? Social media and its effects on organizational communication. Journal of Undergraduate Research, 17, 1–14.
  • Lebas, M., & Euske, K. (2004). A conceptual and operational delineation of performance. In A. Neely (ed.), Business performance measurement. Theory and practice (pp. 65–79).
  • 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., Huysman, M., & Steinfi eld, C. (2013). Enterprise social media: Defi nition, history, and prospects for the study of social technologies in organizations. Journal of Computer-Mediated Communication, 19(1), 1–19.
  • Likert, R. (1932). A technique for the measurement of attitudes. Archives of Psychology.
  • Lovejoy, K. & Saxton, G.D. (2012). Information, community, and action: How nonprofit organizations use socialmedia. Journal of Computer-Mediated Communication, 17(3), 337–353.
  • Lundblad, J.P. (2003). A review and critique of Rogers’ diffusion of innovation theory as it applies to organizations. Organization Development Journal, 21(4), 50–64.
  • Majchrzak, A., Faraj, S., Kane, G.C., & Azad, B. (2013). The contradictory infl uence of social media affordances on online communal knowledge sharing. Journal of Computer-Mediated Communication, 19(1), 38–55.
  • Mathieu, J.E., Heffner, T.S., Goodwin, G.F., Salas, E., & Cannon-Bowers, J.A. (2000). The influence of shared mental models on team process and performance. Journal of Applied Psychology, 85(2), 273–283.
  • Merriam Webster. (2017). Defi nition of employee (online). Retrieved from http://smallbusiness.chron.com/characteristics-high-performance-employee-41338.html (9 October 2017).
  • McQuail, D. (2013). Communication research paradigms-refl ections on paradigm change in communication theory and research. International Journal of Communication, 7(2013), 216–229. Retrieved from ijoc.org/index.php/ijoc/article/download/1961/850 (19 September 2018).
  • Mohamed, S., Safi ah, S., Kudus, N., Hassan, M.A., & Izharrudin, S.Z. (2017). The instrument used in measuring employee productivity based on social media usage: A review. Journal of Human Capital Development (JHCD), 10(1).
  • Neuman, L.W. (2002). Social research methods: Qualitative and quantitative approaches.
  • Nkwe, N. & Cohen, J. (2017). Impact of social network sites on psychological and behavioural outcomes in the work-place: A systematic literature review.
  • Nunnally, J. C., & Bernstein, I. H. (1994). Psychometric theory (McGraw-Hill Series in Psychology, Vol. 3). New York: McGraw-Hill.
  • Omar, M.K., Dahalan, N.A., & Yusoff, Y.H.M. (2016). Social media usage, perceived team-effi cacy and knowledge sharing behaviour among employees of an oil and gas organisation in Malaysia. Procedia Economics and Finance, 37, 309–316.
  • Ouirdi, M.E., El Ouirdi, A., Segers, J., & Henderickx, E. (2014). Social media conceptualization and taxonomy: A Lasswellian framework. Journal of Creative Communications, 9(2), 107–126.
  • Papageorgiou, D.S. (2015). Employees’ perspectives on social media internal communication platforms’ use and its impact on affective commitment. A qualitative case study in the hospitality industry.
  • Papasolomou, I. & Melanthiou, Y. (2012). Social media: Marketing public relations’ new best friend. Journal of Promotion Management, 18(3), 319–328.
  • Park, H.S. & Im, B.C. (2001). Test of causal model for the effi cient of the servants knowledge in the local administration. Korean Policy Studies Review, 10(1), 111–135.
  • Parveen, F., Jaafar, N.I., & Ainin, S. (2015). Social media usage and organizational performance: Refl ections of Malaysian social media managers. Telematics and Informatics, 32(1), 67–78.
  • Parveen, F., Parveen, F., Jaafar, N.I., Jaafar, N.I., Ainin, S., & Ainin, S. (2016). Social media’s impact on organizational performance and entrepreneurial orientation in organizations. Management Decision, 54(9), 2208–2234.
  • Ryu, S., Ho, S.H., & Han, I. (2003). Knowledge sharing behavior of physicians in hospitals. Expert Systems with Applications, 25(1), 113–122.
  • Razmerita, L., Razmerita, L., Kirchner, K., Kirchner, K., Nielsen, P., & Nielsen, P. (2016). What factors influence knowledge sharing in organizations? A social dilemma perspective of social media communication. Journal of Knowledge Management, 20(6), 1225–1246.
  • Sanders, N.R. (2007). An empirical study of the impact of e-business technologies on organizational collaboration and performance. Journal of Operations Management, 25(6), 1332–1347.
  • Shami, N.S., Nichols, J., & Chen, J. (2014, April). Social media participation and performance at work: A longitudinal study. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (pp. 115–118).ACM.
  • Shirky, C. (2008). Here comes everybody. New York: Penguin
  • Sigalaa, M. & Chalkiti, K. (2015) Knowledge management, social media and employee creativity. International Journal of Hospitality Management, 45, 44–58.
  • Sofijanova, E., & Zabijakin-Chatleska, V. (2013). High performance work practices and organizational performance: an analysis of the Macedonian food and beverage industry. Presented at XI International Scientifi c Conference“Management and Engineering ‘13” on 23–26 June 2013, Sozopol, Bulgaria.
  • Srivastava, A., Bartol, K.M., & Locke, E.A. (2006). Empowering leadership in management teams: Effects on knowledge sharing, effi cacy, and performance. Academy of Management Journal, 49(6), 1239–1251.
  • Steenkamp, M. & Hyde-Clarke, N. (2014). The use of Facebook for political commentary in South Africa. Telematics and Informatics, 31(1), 91–97.
  • Stollak, M., Vandenberg, A.S., Felhofer, N., & Sutherland, P. (2014). How social media is infl uencing the job search process. Journal of Management and Marketing Research, 15, 1–7. Retrieved from http://www.aabri.com/manuscripts/141817.pdf (March 2018).
  • Tajudeen, F.P., Jaafar, N.I., & Ainin, S. (2017). Understanding the impact of social media usage among organizations. Information & Management.
  • Talley, J.L. (2011). Decision making in organizations, 1–24. Retreived from http://www.jltalley.com/presentations/Decision%20Making.pdf (January 2018).
  • Team FME. (2013). Effective communication (online).Retrieved from www.free-management-ebooks.com/dldebkpdf/fme-effective-communication.pdf (5 October 2017).
  • Themessl-Huber, M. (2014). Evaluation of the χ2 statistic and different fi t-indices under misspecifi ed number of factors in confi rmatory factor analysis. Psychological Test and Assessment Modeling, 56(3), 219–36.
  • Trimi, S. & Galanxhi, H. (2014). The impact of Enterprise 2.0 in organizations. Service Business, 8(3), 405–424.
  • Wamba, S. & Carter, L. (2013). Twitter adoption and use by SMEs: An empirical study in system sciences (HISS). In Proceedings of 46th Hawaii International Conference on System Sciences (pp. 2052–2049).
  • Weekley, E. (1967). An etymological dictionary of modern English (Vol. 1). New York
  • Williams, L.J. & Anderson, S.E. (1991). Job satisfaction and organizational commitment as predictors of organizational citizenship and in-role behaviors. Journal of management, 17(3), 601–617.
  • Wu, C.W. (2016). The performance impact of social media in the chain store industry. Journal of Business Research, 69(11), 5310–5316.
  • Yesil, S. & Dereli, S.F. (2013). An empirical investigation of the organizational justice, knowledge sharing and innovation capability. Procedia, Social and Behavioral Sciences, 75, 199–208.

Document Type

Publication order reference

Identifiers

Biblioteka Nauki
2012476

YADDA identifier

bwmeta1.element.ojs-doi-10_7172_2449-6634_jmcbem_2018_1_3
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