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Purpose: The banking sector is facing a challenge in the quality of services rendered to the ultimate customers for the adoption of Fintech applications in an efficient way. Due to dynamic market conditions, it is difficult for the banks to win the heart of the customers. It can be done only by providing them with updated technological applications and excellent services. Here, service quality plays a major role in this regard. It acts as an optimum strategy for the service providers to attain the interest of their customers and change their perceptions towards the banks in a positive way by providing them satisfactory services. This chapter aims to critically analyse and assess the quality of banking services rendered for Fintech applications to the customers.

Design/Methodology/Approach: The study evaluated the preference for public/private banks for Fintech applications across various demographic factors. In this research, users of public or private banks have been considered as respondents who are using Fintech applications. The service quality of both banks has been measured using a service quality scale, i.e., SERVQUAL. With the help of the Questionnaire, data were collected from 100 respondents from Punjab State on a convenience sampling basis. The Chi-square method was used to check the preference for different types of banks across demographic profiles.

Findings: ‘Responsiveness’ and ‘Tangibles’ are the most significant service quality dimensions. The present study revealed that the preference towards public/private sector banks has no dependency on occupation but found dependence on age and education level.

Research Limitations/Implications: The present study merely concentrates on the banking sector’s service quality towards Fintech applications. It could be used for the security market, insurance and other sectors in the future period. The present study provides implications for future interdisciplinary research addressing the need for Fintech applications as Fintech has become the need of every industry.

Originality/Value: This study is conducted to explore the opportunities for Fintech in the banking sector vis-á-vis service quality. The authors anticipate that the current study will contribute to existing literature and thus become the reference for academicians, researchers and industry professionals.

The purpose of this paper is to evaluate the impact of financial inclusion (FI) on control of corruption in selected African countries.

The study employs secondary data spanning over a period of 2005–2016. These data are sourced from IMF's International Financial Statistics, World Bank Development Indicators, Global Financial Development Database, Transparency International and International Country Risk Guide. The author uses Sarma (2008) approach to construct the FI index for 13 countries in Africa. The author applies random effect, robust least square and instrumental variable (IV) estimations to examine the impact of FI on control of corruption in Africa.

The author finds that financial inclusion improves the control of corruption. The author tests for possible FI threshold to avoid the case of extreme FI in Africa. The results show that there is a threshold level if reached, FI would have negative impacts in the control of corruption. This may likely happen mainly due to weak institutions in Africa. The results are robust to alternative proxy for control of corruption and various alternative estimation techniques.

The finding indicates that FI can serve as part of toolkits for reducing corruption in Africa.

This study stresses the important role of FI in the economic system. It is the first paper that empirically suggests the role of FI in controlling corruption in Africa.