Factors influencing people to approach micro finance institutions in India

  • Authors

    • Aarthi N
    • Suresh M
    2018-06-08
    https://doi.org/10.14419/ijet.v7i2.33.15545
  • Micro Finance Institutions, Microcredit, Micro Finance Factors, Interpretive Structural Modelling
  • Microfinance or Microcredit is providing financial access to the low-income people to improve their living standard and also this will en-hance the growth of national economy. Micro Finance Institutions (MFIs) provide financial services such as loan, savings, investment, insurance, money transfer and other financial products customized for low-income people. It is a highly competitive market consisting of banks, private financial institutions, local money lenders with exorbitant interest etc. Creating awareness of MFIs among the financially backward people and establishing their trust on the upcoming commercial offering is a tedious job, which requires thorough knowledge and analysis skills in addition to keen observations on the trends of financial markets. The current paper gives an insight on the factors influenc-ing common people or the driving factors to approach MFIs for their financial activities. In this paper, Interpretive Structural Modelling (ISM) approach is applied to find the interrelationships among the factors and driving power and dependence power of those factors con-cluding with most influential factors, purpose and legal elements which influences the people to approach MFIs.

     

     

  • References

    1. [1] Ahmed, F., Brown, B., & Williams, S. P. (2013). Is it time to regulate microfinance? Progress in Development Studies, 13(3), 209-220. doi:10.1177/1464993413486546.

      [2] Allet, M. (2013). Why Do Microfinance Institutions Go Green? An Exploratory Study. Journal of Business Ethics, 122(3), 405-424. doi:10.1007/s10551-013-1767-2.

      [3] Ambika Devi Amma, T., Radhika, N., & Pramod, V. R. (2015). Major Cloud Computing Threats-An ISM Approach. International Journal of Applied Engineering Research, 10(16), 37804-37808.

      [4] Chiu, T. (2013). Putting Responsible Finance to Work for Citi Microfinance. Journal of Business Ethics, 119(2), 219-234. doi:10.1007/s10551-013-1626-1.

      [5] Chiu, T. (2015). Factors Influencing Microfinance Engagements by Formal Financial Institutions. Journal of Business Ethics, 143(3), 565-587. doi:10.1007/s10551-015-2811-1.

      [6] Dasgupta, R. (2006). An architectural plan for a microfinance institutional network. Economic and Political Weekly, 1095-1100.

      [7] Donou-Adonsou, F., &Sylwester, K. (2017). Growth effect of banks and microfinance: Evidence from developing countries. The Quarterly Review of Economics and Finance, 64, 44-56. doi: 10.1016/j.qref.2016.11.001.

      [8] Jain, D., &Banwet, D. (2013). Modelling critical elements of selection for strategic alliance partner for network managed services using interpretive structural modelling (ISM). Journal of Modelling in Management, 8 (3), 290-304. doi:10.1108/jm2-04-2011-0024

      [9] Jharkharia, S., & Shankar, R. (2005). IT-enablement of supply chains: understanding the barriers. Journal of Enterprise Information Management, 18(1), 11-27.

      [10] Kwon, W. J. (2010). An Analysis of Organisational, Market and Socio-cultural Factors Affecting the Supply of Insurance and Other Financial Services by Microfinance Institutions in Developing Economies. The Geneva Papers on Risk and Insurance - Issues and Practice, 35 (1), 130-160. doi:10.1057/gpp.2009.32.

      [11] Panda, S., Panda, B. K., & Das, A. P. (2013). Microfinance in India: Literature Review. International Journal of Applied Business and Economic Research, 11(2), 355-374.

      [12] Patri, R., & Suresh, M. (2017a). Factors influencing lean implementation in healthcare organizations: An ISM approach. International Journal of Healthcare Management, 11(1), 25-37.

      [13] Patri, R., & Suresh, M. (2017b). Modelling the enablers of agile performance in healthcare organization: A TISM approach. Global Journal of Flexible Systems Management, 18(3), 251-272.

      [14] Pitt, M., &Khandker, S. (1998). The impact of Groupâ€Based Credit Programs on Poor Households in Bangladesh: Does the Gender of Participants Matter? Journal of Political Economy, 106(5), 958-996. Doi: 10.1086/250037.

      [15] Ravi, V., Shankar, R., & Tiwari, M. K. (2005). Productivity improvement of a computer hardware supply chain. International Journal of Productivity and Performance Management, 54(4), 239-255.

      [16] Saleeshya, P. G., Thampi, K. S., & Raghuram, P. (2012). A combined AHP and ISM-based model to assess the agility of supply chain–a case study. International Journal of Integrated Supply Management, 7(1-3), 167-191.

      [17] Tchuigoua, H. T. (2015). Determinants of the governance quality of microfinance institutions. The Quarterly Review of Economics and Finance, 58, 32-43. doi:10.1016/j.qref.2015.02.011.

      [18] Yunus, M. (1999). The Grameen Bank. Scientific American, 281(5), 114-119. Doi: 10.1038/scientificamerican1199-114.

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  • How to Cite

    N, A., & M, S. (2018). Factors influencing people to approach micro finance institutions in India. International Journal of Engineering & Technology, 7(2.33), 978-981. https://doi.org/10.14419/ijet.v7i2.33.15545