Relationship between Social Media Usage and the Performance of Selected Microfinance Institutions in Meru County
Abstract
In the world today social media platforms have snowballed and sparked both opportunity and concern on how its use affects the financial performance of microfinance institutions. The study aimed to determine the relationship between social media usage and the performance of selected microfinance institutions in Meru County. The study used descriptive design. The study established that social media is practically applicable because of how easy it is in usage and how many customers prefer it to the traditional way banks and financial institutions have been operating. This study thus recommends that there should be a paradigm shift that will enable microfinance institutions operate competitively and perform better financially. This cannot be realized if the leadership is stack in the old ways of doing things.
Keywords: Social Media Usage, Performance, Microfinance Institutions, Meru County
References
Ahmad, D. (2016). The Impact of Social Media on the Performance of selected microfinance Institutions in Developing Countries: A quantitative Approach. [Unpublished Ph.D. Thesis, Brunel University] London. http://dx.doi.org/10.1108/ITP-03-2018-0135.
Alex, M., & Haenlein, M. (2012). Social Media: Back to the roots and back to the future. Journal of systems and information technology, 14(2), 101-104. https://doi.org/10.1108/13287261211232126.
Ali, S.S., & Khan, M.N.A. (2013). ICT Infrastructure Framework for Microfinance Institutions and Banks in Pakistan: An Optimized Approach. International Journal of Online Marketing (IJOM), 3(2), 75-86. https://doi.org/10.4018/ijom.2013040105.
Eckerling, D. (2014). How to Measure Social Media ROI.
https://www.socialmediaexaminer.com/measure-social-media-roi/.
Green, K.M., Covin, J.G., & Slevin, D.P. (2014). Exploring the relationship between strategic reactiveness and entrepreneurial orientation: the role of structure-style fit. Journal of Business Venturing, 23(3), 356-383.
Grellhesl, M., & Punyanunt-Carter, N. M. (2012). Using the uses and gratifications theory to understand gratifications sought through text messaging practices of male and female undergraduate students. Computers in Human Behavior, 28(6), 2175-2181.
Kaplan, R.S., & Norton, D.P. (2015). The balanced scorecard: measures that drive performance. Harvard Business Review, 70(1), 7-79. https://hbr.org/1992/01/the- balanced-scorecard-measures-that-drive-performance-2.
Meikle, G. (2016). Social media: Communication, sharing and visibility. Routledge: Abingdon.
Misati, R., & Kamau, A. (2017). Local and international dimensions of credit provision by commercial banks in Kenya. Banks & bank systems, 12 (3), 87-99.
Munene, A. G., & Nyaribo, Y. M. (2013). Effect of social media predication in the workplace on employee productivity. International Journal of Advances in Management and Economics, 2(2), 141-150.
Mwambui, E. (2012). Conservation 2.0: Leveraging social media for fundraising in Kenya– the case of Wildlife Direct.
Rozzani, N., Rahman, R. A., Mohamed, I. S., &Yusuf, S.N.S. (2013). Applying: Issues in Microfinance Operations. Middle East Journal of Scientific Research, 17(3), 374-381.
Sundar, S. S., & Limperos, A. M. (2013). Uses and grats 2.0: New gratifications for new media. Journal of Broadcasting & Electronic Media, 57(4), 504-525.
vanMarrewijk, M., & Were, M. (2015). Multiple Levels of Corporate Sustainability. Journal of Business Ethics, 44(3), 107–119. http://dx.doi.org/10.1023/A:1023383229086.