Mobile Phone: A Loan Monitoring Tool for Micro Businesses

Mobile Phone: A Loan Monitoring Tool for Micro Businesses

William Clifford Gomera, George S. Oreku
Copyright: © 2018 |Volume: 7 |Issue: 2 |Pages: 19
ISSN: 2472-3126|EISSN: 2472-3134|EISBN13: 9781522547440|DOI: 10.4018/IJICTRAME.2018070104
Cite Article Cite Article

MLA

Gomera, William Clifford, and George S. Oreku. "Mobile Phone: A Loan Monitoring Tool for Micro Businesses." IJICTRAME vol.7, no.2 2018: pp.48-66. http://doi.org/10.4018/IJICTRAME.2018070104

APA

Gomera, W. C. & Oreku, G. S. (2018). Mobile Phone: A Loan Monitoring Tool for Micro Businesses. International Journal of ICT Research in Africa and the Middle East (IJICTRAME), 7(2), 48-66. http://doi.org/10.4018/IJICTRAME.2018070104

Chicago

Gomera, William Clifford, and George S. Oreku. "Mobile Phone: A Loan Monitoring Tool for Micro Businesses," International Journal of ICT Research in Africa and the Middle East (IJICTRAME) 7, no.2: 48-66. http://doi.org/10.4018/IJICTRAME.2018070104

Export Reference

Mendeley
Favorite Full-Issue Download

Abstract

This article describes how loan monitoring tools are integrated applications designed to help Micro Finance Institutions (MFIs) to improve efficiency and effectiveness in loan collection. The task of loan monitoring is monumental to loan officers, forcing them to travel long distances to serve a large number of customers leading to ineffective use of time and money. For that reason, it is of great advantage to have an integrated system that can manage their business with the click of the mobile phone button, allowing MFI and MB to concentrate on their day to day business operations. The application is expected to provide an easy way to track loans and collections from micro businesses owners as well as improving transparency through provision of customers' report. The study conducted through in-depth literature review, interviews, focus group discussion and questionnaire. All this allowed end user participatory approach for good insight to the solution. The data was analyzed through the coding approach (qualitative approach). The test performance through a white and black box was designed and conducted MFI premises.

Request Access

You do not own this content. Please login to recommend this title to your institution's librarian or purchase it from the IGI Global bookstore.