IDEAS home Printed from https://ideas.repec.org/a/eee/telpol/v37y2013i6p503-514.html
   My bibliography  Save this article

Mobile banking in a developing economy: A customer-centric model for policy formulation

Author

Listed:
  • Mishra, Vishal
  • Singh Bisht, Shailendra

Abstract

India needs inclusive growth to pull millions out of poverty. Despite the best efforts of mainstream financial institutions, financial exclusion is depriving millions of poor any chance to attain adequate standard of living. Telecommunication infrastructure growth especially mobile phone penetration has created an opportunity for providing financial inclusion. The current state of mobile banking is characterized by a top-down approach. This paper presents a bottom-up approach of designing mobile banking service which would be acceptable and accessible to the poor customers. The results point to clear preference of the urban poor for a joint bank–telecom led mobile banking model. Conjoint analysis of the data points to preference for attributes related to security/safety of a bank along with the coverage, accessibility and nimbleness of a telecom service provider with minimal documentation. The paper in its conclusion exhorts the regulators, telecom service providers and financial institutions to involve end-users in order to create a sustainable mobile banking service for financial inclusion.

Suggested Citation

  • Mishra, Vishal & Singh Bisht, Shailendra, 2013. "Mobile banking in a developing economy: A customer-centric model for policy formulation," Telecommunications Policy, Elsevier, vol. 37(6), pages 503-514.
    • Handle: RePEc:eee:telpol:v:37:y:2013:i:6:p:503-514
    DOI: 10.1016/j.telpol.2012.10.004
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0308596112001826
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.telpol.2012.10.004?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Singh, Sanjay Kumar, 0. "The diffusion of mobile phones in India," Telecommunications Policy, Elsevier, vol. 32(9-10), pages 642-651, October.
    2. Verdegem, Pieter & Verhoest, Pascal, 0. "Profiling the non-user: Rethinking policy initiatives stimulating ICT acceptance," Telecommunications Policy, Elsevier, vol. 33(10-11), pages 642-652, November.
    3. Green, Paul E & Srinivasan, V, 1978. "Conjoint Analysis in Consumer Research: Issues and Outlook," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 5(2), pages 103-123, Se.
    4. Warren, Martyn, 0. "The digital vicious cycle: Links between social disadvantage and digital exclusion in rural areas," Telecommunications Policy, Elsevier, vol. 31(6-7), pages 374-388, July.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Grošelj, Darja & Reisdorf, Bianca C. & Petrovčič, Andraž, 2019. "Obtaining indirect internet access: An examination how reasons for internet non-use relate to proxy internet use," Telecommunications Policy, Elsevier, vol. 43(3), pages 213-224.
    2. Winfried Steiner & Harald Hruschka, 2002. "A Probabilistic One-Step Approach to the Optimal Product Line Design Problem Using Conjoint and Cost Data," Review of Marketing Science Working Papers 1-4-1003, Berkeley Electronic Press.
    3. Merja Halme & Kari Linden & Kimmo Kääriä, 2009. "Patients’ Preferences for Generic and Branded Over-the-Counter Medicines," The Patient: Patient-Centered Outcomes Research, Springer;International Academy of Health Preference Research, vol. 2(4), pages 243-255, December.
    4. Dufhues, T. & Buchenrieder, G., 2004. "Der Beitrag der Conjoint Analyse zur nachfrageorintierten Entwicklung des ländlichen Finanzsektors in Vietnam," Proceedings “Schriften der Gesellschaft für Wirtschafts- und Sozialwissenschaften des Landbaues e.V.”, German Association of Agricultural Economists (GEWISOLA), vol. 39.
    5. Martinovici, A., 2019. "Revealing attention - how eye movements predict brand choice and moment of choice," Other publications TiSEM 7dca38a5-9f78-4aee-bd81-c, Tilburg University, School of Economics and Management.
    6. James Agarwal & Wayne DeSarbo & Naresh K. Malhotra & Vithala Rao, 2015. "An Interdisciplinary Review of Research in Conjoint Analysis: Recent Developments and Directions for Future Research," Customer Needs and Solutions, Springer;Institute for Sustainable Innovation and Growth (iSIG), vol. 2(1), pages 19-40, March.
    7. Mahesh Balan U & Saji K. Mathew, 2021. "Personalize, Summarize or Let them Read? A Study on Online Word of Mouth Strategies and Consumer Decision Process," Information Systems Frontiers, Springer, vol. 23(3), pages 627-647, June.
    8. Simplice Asongu & Ndemaze Asongu, 2018. "The comparative exploration of mobile money services in inclusive development," International Journal of Social Economics, Emerald Group Publishing Limited, vol. 45(1), pages 124-139, January.
    9. Shin, Jungwoo & Hwang, Won-Sik, 2017. "Consumer preference and willingness to pay for a renewable fuel standard (RFS) policy: Focusing on ex-ante market analysis and segmentation," Energy Policy, Elsevier, vol. 106(C), pages 32-40.
    10. Haaijer, Marinus E., 1996. "Predictions in conjoint choice experiments : the x-factor probit model," Research Report 96B22, University of Groningen, Research Institute SOM (Systems, Organisations and Management).
    11. Ha, Jinkyung, 2018. "Consumer valuation of Fintech: The case of Mobile Payment in Korea," 22nd ITS Biennial Conference, Seoul 2018. Beyond the boundaries: Challenges for business, policy and society 190341, International Telecommunications Society (ITS).
    12. Simplice A. Asongu & Jacinta C. Nwachukwu, 2017. "Recent finance advances in information technology for inclusive development: a survey," Research Africa Network Working Papers 17/009, Research Africa Network (RAN).
    13. Gamboa, Luis Fernando & Otero, Jesús, 0. "An estimation of the pattern of diffusion of mobile phones: The case of Colombia," Telecommunications Policy, Elsevier, vol. 33(10-11), pages 611-620, November.
    14. P. A. Ferrari & S. Salini, 2008. "Measuring Service Quality: The Opinion of Europeans about Utilities," Working Papers 2008.36, Fondazione Eni Enrico Mattei.
    15. Asongu, Simplice & Boateng, Agyenim & Akamavi, Raphael, 2016. "Mobile Phone Innovation and Inclusive Human Development: Evidence from Sub-Saharan Africa," MPRA Paper 75046, University Library of Munich, Germany.
    16. Steinhorst, M.P. & Bahrs, E., 2013. "Renditansprüche im Kontext gleichmäßiger Rückflüsse – Ergebnisse eines Experiments mit Stakeholdern des Agribusiness," Proceedings “Schriften der Gesellschaft für Wirtschafts- und Sozialwissenschaften des Landbaues e.V.”, German Association of Agricultural Economists (GEWISOLA), vol. 48, March.
    17. Yavuz Taşcıoğlu & Mevlüt Gül & Metin Göksel Akpınar & Bahri Karlı & Bektaş Kadakoğlu & Bekir Sıtkı Şirikçi & Musa Acar & Hilal Yılmaz, 2023. "Optimum Support Policy Component for the Development of Agricultural Production: Potato Producer," Agriculture, MDPI, vol. 13(5), pages 1-13, April.
    18. Luisa Menapace & Gregory Colson & Carola Grebitus & Maria Facendola, 2011. "Consumers' preferences for geographical origin labels: evidence from the Canadian olive oil market," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 38(2), pages 193-212, June.
    19. Henrik Serup Christensen & Lauri Rapeli, 2021. "Immediate rewards or delayed gratification? A conjoint survey experiment of the public’s policy preferences," Policy Sciences, Springer;Society of Policy Sciences, vol. 54(1), pages 63-94, March.
    20. Srinivasan, V. Seenu & Netzer, Oded, 2007. "Adaptive Self-Explication of Multi-attribute Preferences," Research Papers 1979, Stanford University, Graduate School of Business.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:telpol:v:37:y:2013:i:6:p:503-514. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/wps/find/journaldescription.cws_home/30471/description#description .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.