Topic Name:
Electronic Banking Service

Submitted by:
Lakshmi Suresh Chalwadi
(MMS) First year
Jankidevi Bajaj Institute of Management Studies, Santacruz

Introduction:
Electronic banking is a form of banking in which funds are transferred through an exchange of electronic signals. E- banking includes various transaction services such as internet banking, mobile banking, telebanking etc. Electronic banking services are a range of banking and other services or facilities that use electronic equipment.

Objective:
To Study underlying phenomena of Electronic Banking Services.

Role of Electronic payments
Awwad et al (2021) identified the exploration of electronic payments play a great role in enhancing the financial performance. Formulated as there is no statistically significant effect of E-payments on the Bank of Palestine financial performance. The study uses the variables such as return on asset return on equity and earning per share. Data were collected by reviewing the financial statements published on the Palestine Stock Exchange. Hence,concludes about the impact of electronic payment methods and return indicators on assets and equity.

Banking Security
Stashchuk et al (2021) says that banking sector in this matter creates an unusual symbiosis of conservative security of funds, operations, and customer data, with relentless progress and innovation in the life cycle. The study uses the logical method, the method of analysis and synthesis, the system method, the method of theoretical generalization, the grouping method and the expert method. The author identifies the Features of development of technological banking innovations in Ukraine, including in the conditions of influence of COVID-19 are considered. The characteristics of banking innovations are considered, the criteria to be met by banking innovations both on the part of the client and on the part of the bank.

Digital Transformation
Gustaitis I. et al (2021) explored the attitude of banks’ staff in Greece towards the digitalization of banking operations and their transition to the new digital banking environment. Digital transformation is used a digital trading channel such as e-banking, m-banking and e-branch.Uses the variables of usage behavior, perceived usefulness, perceived self-efficacy, perceived ease of use and intention to use. Multivariate Regression Analysis was implemented to analyse the items of the Technology Acceptance Model. The findings of this paper indicate the perception of bank employees with regard to new technologies.

Effects of Innovation on Bank Performance
Akshisar et al (2015) identify that the technology base product has a cost advantage, increase profit, lower risk than traditional banking products, Despite the arguments they felt there are inadequate infrastructural investments in banks. The variable used financial performance: ROA and ROE. Existing POS terminal ATM / branch. Data were extracted from the banks financial statement with focus on 23 advanced and 23 emerging countries. The study employs dynamic panel data analysis. The finding research are POS and no. Of customer that benefitted from internet banking affect profitability negatively where no. Of issued bank cards and ratio of ATM/ branch affect profitability positively.

Banking Services Quality
Hamzagic, E. et al (2021) the focus of this study lies in the fact that a great number of services in the banking industry, especially in undeveloped and developing countries, are conducted face-to-face. The most popular scales for measuring service quality are SERVQUAL, developed by Arun Parasuraman (1988). The study’s factor analysis, which used six unique dimensions including: Effectiveness and Assurance, Price and Interface, Tangibles and Services Portfolio, Access, Efficiency and Personal contact. The new extended of BSQ scale employed in the bank in Serbia. The study concludes that Banks should deliver high-quality service in all dimensions.

Ecommerce and its development
Bădîrcea et al (2022) says that the factors influencing e-commerce and to evaluate the long- and short-term impacts on the development. The hypotheses used to verify, namely education level, consumer’s residence, consumer’s labour market status, internet banking, and mobile and non-mobile users. Adopts fully modified ordinary least squares method and vector error correction model, performed an empirical analysis of the nexus and e-commerce based on panel data for EU–27 countries from 2011 to 2020. The descriptive statistical analysis of variables is presented shows that the data corresponding to the variables have large divergences.

Mobile Financial Services
Tun et al (2020) says that mobile wallet is a digital form of ordinary wallet that is expanding in the developing countries. The objective of this study is to examine and investigate the factors that influence the intention to use the Mobile wallet of Micro finance Support programme in Myanmar. The study of research model consists of perceived usefulness, service quality, user satisfaction, social influence, facilitating conditions and trust. A quantitative research design was used and confirmatory factor analysis (CFA). Data were mainly collected from potential Mobile Wallet users in Myanmar and 234 respondents participated in this study. The finding is to formulate the strategies and approaches for positioning their mobile wallet among a suitable user.

Internet Banking
Fatemeh Mohammad et al (2020) identified the most critical challenges for e-government and e-banking. The e-banking implementation model consists of variables such as security and privacy, perceived usefulness, perceived ease of use, and reluctance toward change. The descriptive survey research tries to describe different events, subjects, and issues in an objective, realistic, and organized way. The research model, which has been achieved by a combination of two fundamental theories, customer attitudes, subjective norms, behavioral control, and perceived usefulness lead to the creation of purchasing intention in customers. The proposed model was examined by conducting empirical research, including users of selected bank services.

Risk Management
Moch Panji et al (2022) says that Industry 4.0 refers to the concept that technology has permeated all areas of society, production, finance, services, transportation, and communications. The purpose of this study is to estimate the maximum potential losses for digital banking transaction risks. The method used for estimating risks is the EVaR method. The first step is to resample the data using MEBoot. Next step is determination of Threshold and Extreme Data through the Process and the estimation of the GPD Parameter. The descriptive statistical analysis was carried out to analyzed the extreme data of each risk. The maximum potential losses of digital banking risks using the EVaR method is IDR144, 357, 528, 750.94. The research results imply that the banks need to pay attention to the maximum potential losses of digital financial transactions as a reference for risk management. Therefore, banks can anticipate the adequacy of reserve funds for these potential risks.
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Virtual Banks
Chen, H. et al (2021) identified the development of virtual banks in Hong Kong were investigated and the main risks that may occur and be harmful to the bank business sustainability were analyzed. This research makes use of both qualitative analysis and quantitative analysis. In the case studies, via understanding the overall situation of WeBank, its performance during the COVID-19 pandemic, and the practice standards of virtual banks in business continuity management were further clarified. At the end, three suggestions for virtual banks in Hong Kong were put forward to reduce customer information security risks through business continuity management, thereby maintaining its business sustainability.

Conclusion:
The study was done with the motive of understanding the electronic banking services. Through this study we understand the how the banking services play crucial role in the digital era. With the exploration of Electronic payments, banking security of funds, ecommerce to evaluate the long and short terms and the challenges of e- banking. The practice standard of Virtual banks in the business management with the maximum potential risk. Through e-banking, a customer can access his account and conduct many transactions using his mobile wallet or computer rather than a human interaction. We are moving towards digitalization banking operations. Improving the number of services in the bank industry.Electronic banking offers a high-level of convenience for managing one’s finance.However, it continues to present challenges to financial security and personal privacy.

Reference:
Awwad, B. S. (2021). The role of e-payments in enhancing financial performance: A case study of the bank of Palestine. Banks and Bank Systems, 16(4), 114-124 doi: http://dx.doi.org/10.21511/bbs.16(4).2021.10
Stashchuk, O., & Martyniuk, R. (2021). Banking innovations: Security technology solution. VUZF Review, 6(1), 79-86. doi:http://dx.doi.org/10.38188/2534- 9228.21.6.08
Gustaitis, I., G & Kamario Tou, M. (2021). Digital transformation and strategy in the banking sector: Evaluating the acceptance rate of E-services. Journal of Open Innovation: Technology, Market, and Complexity, 7(3), 204. doi:http://dx.doi.org/10.3390/joitmc703020
Hamzagic, E., & Tournois, N. (2021). New dimension in the bank service quality (BSQ) measurement scale: An empirical investigation. Journal of International Studies, 14(4) doi:http://dx.doi.org/10.14254/2071-8330.2021/14-4/9
Bădîrcea, R. M., Alina, G. M., Florea, N. M., Popescu, J., Florin, L. M., & Puiu, (2022). E-commerce and the factors affecting its development in the age of digital technology: Empirical evidence at EU–27 level. Sustainability, 14(1), 101. doi:http://dx.doi.org/10.3390/su14010101
Akhisar, I., Tunay, K.B., Tunay, N (2015), Effects of innovation on Bank performance of Electronics Banking Services. Procedia- Social and Behavioral Sciences,195,369-375
Tun, P. M. (2020). An investigation of factors influencing intention to use mobile wallets of mobile financial services providers in Myanmar. The Asian Journal of Technology Management, 13(2), 129-144. o doi:http://dx.doi.org/10.12695/ajtm.2020.13.2.3
Fatemeh Mohammad, E. S., Ramzani, U., Ebrahimzadeh, S., Sargolzae, S., & Sepasgozar, S. (2020). Technology acceptance in e-governance: A case of a finance organization. Journal of Risk and Financial Management, 13(7), 138. doi:http://dx.doi.org/10.3390/jrfm13070138
Moch Panji, A. S., Sukono, & Chaerani, D. (2022). Estimation of maximum potential losses for digital banking transaction risks using the extreme value-at-risks method. Risks,
10(1),10.doi:http://dx.doi.org/10.3390/risks10010010
Chen, H., Tse, D., Si, P., Gao, G., & Chang, Y. (2021). Strengthen the security management of customer information in the virtual banks of hong kong through business continuity management to maintain its business sustainability. Sustainability, 13(19), 10918. doi:http://dx.doi.org/10.3390/su131910918