Challenges faced by MFIs in adopting management information systems during their growth phase: the case of Togo

Couchoro, Mawuli Kodjovi

doi:10.3362/1755-1986.2016.011

Cited by 6 publications

(6 citation statements)

References 26 publications

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“…Nearly 67% of the Togolese population was subscribed to mobile telephony in 2015, and the number of mobile internet users doubled between 2014 and 2015. However, less than 15% of consumers have bank accounts in Togo [18,19]; in addition, mobile banking acceptance rates are lower than expected, i.e., 1% [20]. It is then rational to merely presume that mobile money should provide significant input to nurture the rate of mobile financial services usages.…”

Section: Introductionmentioning

confidence: 99%

Extended Technology Acceptance Model to Predict Mobile-Based Money Acceptance and Sustainability: A Multi-Analytical Structural Equation Modeling and Neural Network Approach

2019

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This research is a pioneering study into the adoption of mobile-based money services for financial inclusion and sustainability in developing countries like Togo. Owing to their differences from more usual mobile-based banking and payment services, such technology is being aggressively promoted by providers of network telecommunication companies. However, the factors influencing its sustainable acceptance remain largely unknown. This paper extends the original Technology Acceptance Model (TAM), by integrating self-efficacy (SEMM), technology anxiety (TAMM), and personal innovativeness (PIMM). The research model is assessed with survey data of 539 actual and prospective mobile money users employing structural equation modeling–artificial neural networks (SEM–ANN) approach. A feed-forward-back-propagation (FFBP) multi-layer perceptron (MLP) ANN with significant predictors obtained from SEM as the input units and the root mean square of errors (RMSE) indicated that the ANN method achieves high prediction accuracy. The results present conclusive evidence that perceived ease-of-use (PEMM) is the most significant factor affecting consumers’ attitudes to mobile-based money. While perceived usefulness (PUMM) and PIMM affect adoption decisions, their impact is much lower. Consumer attitudes and intentions were found to have a significant relationship with TAM. SEMM and TAMM; however, they showed mixed results. These findings will be useful to retain prevailing users and attract new ones.

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Section: Introductionmentioning

confidence: 99%

Extended Technology Acceptance Model to Predict Mobile-Based Money Acceptance and Sustainability: A Multi-Analytical Structural Equation Modeling and Neural Network Approach

2019

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“…They, therefore, were of the view that it is necessary for MFIs to, as much as possible, expedite the procedure for granting credit facilities to clients. Also, it has been strongly asserted by several researchers, including Flora (2015) and Couchoro (2016), that clients of MFIs who typically have low levels of education are likely to face challenges as to how to manage whatever credit advanced to them. Thus, the need to give the clients of the MFIs some form of financial education is necessary for them to use the credit facilities given to them judiciously.…”

Section: Challenges Facing Clients Of Mfismentioning

confidence: 99%

Assessing the Impact of Operational Flaws on the Performance of Microfinance Institutions in Ghana

Gyimah¹,

Agyeman

Adu-Asare³

2020

IFB

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Microfinance institutions contribute significantly to the development of a country, and many of these institutions are found in most developing countries including Ghana. However, many challenges have been alleged to stifle the efforts of microfinance companies in their attempt to make their all-important contribution to the development of nations. This study explored the effect of operational flaws on the performance of microfinance institutions in Ghana. The results discovered flaws and challenges associated with the operations of the MFIs in many areas including corporate governance, credit risk management, credit administration, regulatory challenges, and training programs. The study also revealed that such flaws and challenges do harm the overall performance of the MFIs. Based on the findings, it is recommended that MFIs put in place a well-composed and resourceful credit committee to perform the duty of credit risk management in the institutions. The institutions could also reduce their interest rates to encourage their clients to apply for more loans. Lastly, it is recommended that the MFIs take all necessary steps to ensure that they reduce the flaws and challenges they face to mitigate the negative impact of such deficiencies on their performance.

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“…Traditionally, their performance has been assessed based on the ability to pursue their double bottom line objectives of social outreach and financial sustainability (Ayayi & Sene, 2010;Banna et al, 2021;Couchoro, 2016;Wijesiri et al, 2015). However, due to the growth in expectations of various stakeholders in the last decade, the environmental performance of MFIs has come under increased scrutiny (Rippey, 2009).…”

Section: Introductionmentioning

confidence: 99%

Is there a trade‐off between environmental performance and financial sustainability in microfinance institutions? Evidence from South and Southeast Asia

Ayayi

Wijesiri

2022

Bus Strat Env

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The environmental performance of microfinance institutions (MFIs) has received considerable attention in recent years. However, the question of whether MFIs' involvement in environmental practices can drive their financial sustainability has yet to be addressed. This is the knowledge gap that we intend to investigate in the current study. Specifically, using a panel of 587 MFI‐year observations for the 2007–2014 period, we investigate whether pursuing proactive environmental strategies, individually and in aggregation, can improve the financial sustainability of MFIs in South and Southeast Asian countries. By analyzing aggregate environmental performance, we demonstrate that environmental performance adversely influences the financial performance of MFIs. This provides support for the trade‐off hypothesis that predicts that higher levels of environmental practices worsen firms' financial sustainability. Our results also show that the relationship between the individual environmental performance dimensions and financial performance of MFIs varies with the individual dimension of green practice being considered. Finally, we find that there is a significant variation in this relationship across MFI ownership types. The findings have valuable implications for practitioners, investors, and policymakers.

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Challenges faced by MFIs in adopting management information systems during their growth phase: the case of Togo

Cited by 6 publications

References 26 publications

Extended Technology Acceptance Model to Predict Mobile-Based Money Acceptance and Sustainability: A Multi-Analytical Structural Equation Modeling and Neural Network Approach

Extended Technology Acceptance Model to Predict Mobile-Based Money Acceptance and Sustainability: A Multi-Analytical Structural Equation Modeling and Neural Network Approach

Assessing the Impact of Operational Flaws on the Performance of Microfinance Institutions in Ghana

Is there a trade‐off between environmental performance and financial sustainability in microfinance institutions? Evidence from South and Southeast Asia

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