CRITICAL SUCCESS FACTORS ON COMPANY’S BUSINESS PERFORMANCES THROUGH WEB-BASED SOCIAL NETWORKS

  • Saso Josimovski Faculty of Economics, University ss. Cyril and Methodius-Skopje, Macedonia
  • Dimitar Jovevski Faculty of Economics, University ss. Cyril and Methodius-Skopje, Macedonia
Keywords: business performance, critical success factors, social media, social networks, e-business models

Abstract

Since their introduction, social media sites (SMSs) such as Facebook, LinkedIn and Twitter have attracted millions of users, many of whom have integrated these sites in their daily practices. As of this writing, there are hundreds of SMSs, with various technological affordances, supporting a wide range of interests and practices. Social media are gaining popularity and are increasingly used in regular operations of many companies, including start–ups, small, medium-sized, and large organizations. The purpose of this paper is to explore the different critical success factors related to use of web based social networks that can improve business performance of companies in the Republic of Macedonia. This research will focus on the extent of impact that web based social networks have on organizational capabilities and business performance. From the research it could be found that successful deployment of set of external and internal critical success factors can lead to the improvement of business performance (financial and nonfinancial) of the companies.According to the results, the successful use of web-based social networks can improve (1) CRM integration, (2) open communication within a company and (3) ICT integration.

References

Agnihotri, R., Kothandaraman, P., Kashyap, R., Singh, R., 2012. Bringing “Social†into Sales: The Impact of Salespeople’s Social Media Use on Service Behaviors and Value Creation. J. Pers. Sell. Sales Manag. 32, 333–348.

Ansari, A., Koenigsberg, O., Stahl, F., 2011. Modeling Multiple Relationships in Social Networks. J. Mark. Res. JMR 48, 713–728.

Bagozzi, R.P., Yi, Y., 2012. Specification, evaluation, and interpretation of structural equation models. J. Acad. Mark. Sci. 40, 8–34.

Barney, J., 1991. Firm Resources and Sustained Competitive Advantage. J. Manag. 17, 99–120.

Bell, J., Loane, S., 2010. “New-wave†global firms: Web 2.0 and SME internationalisation. J. Mark. Manag. 26, 213–229. doi:10.1080/02672571003594648

Belleghem, S., 2013. Social media integration [WWW Document]. Steven Van Belleghem. URL http://stevenvanbelleghem.com/ (accessed 8.13.13).

Burt, R.S., 2005. Structural holes: the social structure of competition. Harvard Univ. Press, Cambridge u.a.

Chaffey, D., 2008. Internet marketing. Financial Times Prentice Hall, Harlow.

Chen, P., 2010. Factors Affecting Business-to-Business Electronic Commerce Success: An Empirical Investigation.

Collins, C.J., Smith, K.G., 2006. Knowledge Exchange and Combination: The Role of Human Resource Practices in the Performance of High-Technology Firms. Acad. Manage. J.

Eduardo, L., 2013. Web-based business models in 2013.

Fischer, E., Reuber, A.R., 2011. Social interaction via new social media: (How) can interactions on Twitter affect effectual thinking and behavior? J. Bus. Ventur. 26, 1–18. doi:10.1016/j.jbusvent.2010.09.002

Fornell, C., Larker, D.F., 1981. Evaluating Structural Equation Models with Unobservable Variables and Measurement Error. J. Mark. Res. 18, 39–50.

Godin, S., 2008. Tribes: we need you to lead us. Portfolio, New York.

Groenland, E., Stalpers, J., 2012. Structural equation modeling: A verbal approach. Nyenrode Res. Pap. 12, 1–39.

Hair, J.F., 2010. Multivariate data analysis. Prentice Hall, Upper Saddle River, NJ.

Hair, J.F., Black, W.C., Babin, B.J., Anderson, R.E., 2009. Multivariate data analysis (7th ed.). Upper Saddle River, NJ: Prentice Hall.

Harris, A., Rea, A., 2009. Web 2.0 and Virtual World Technologies: A Growing Impact on IS Education. J. Infomation Syst. Educ. 20, 137–144.

Kaplan, A.M., Haenlein, M., 2010. Users of the world, unite! The challenges and opportunities of Social Media. Bus. Horiz. 53, 59–68. doi:10.1016/j.bushor.2009.09.003

O’Reilly, T., 2009. What is Web 2.0, 1 edition. ed. O’Reilly Media.

Reagans, R., McEvily, B., 2003. Network Structure and Knowledge Transfer: The Effects of Cohesion and Range. Adm. Sci. Q. 48, 240–267. doi:10.2307/3556658

Schreiber, J.B., Stege, F.K., King, J., Amaury, N., Barlow, E.A., 2006. Reporting Structural Equation Modeling and Confirmatory Factor Analysis Results: A Review. J. Educ. Res. 99, 323–338.

Smith, D.C., 2009. Social Media Correlates of Organizational Climate. ProQuest LLC. 789 East Eisenhower Parkway, P.O. Box 1346, Ann Arbor, MI 48106. Tel: 800-521-0600; Web site: http://www.proquest.com/en-US/products/dissertations/individuals.shtml.

Published
2015-04-02