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Purpose – The purpose of the research is to analyze the efficiency of Islamic banks in Indonesia. The data used in this research are panel data observed from 2012 until 2016. The sampling of this research is conducted on five Sharia banks in Indonesia, that is, Bank Muamalat, Bank SyariahMandiri, BukopinSyariah, BRI Syariah, and Bank Mega Syariah.

Design/Methodology/Approach – The study uses a quantitative method to analyze the efficiency of Sharia banking with formulation of comparison of operating expenses to operating revenues (BOPO).

Finding – The result of this research concludes that Sharia banking in Indonesia has not been efficient during the last five years, that is, 2012–2016. This can be seen from the range of banking efficiency ratio. The average level of Islamic banking efficiency ranges between 89.73% and 94.16%. Bank Muamalat whose range is 94.16% shows the highest average efficiency ratio compared to other Sharia banks. Meanwhile, Bank Mega Syariah maintains the lowest average efficiency ratio that is 89.37%. The five Sharia banks have a high efficiency ratio of over 80%. This shows that Sharia banking in Indonesia is inefficient

Originality/Value – The bank should be able to balance between cost (cost) and revenue. Sharia banks must also be able to create good product innovation in order to increase the collection of funds from the community, such as for competitive outcomes, prizes, or other programs that raise public interest to use the services of Sharia banking.

Research Limitations/Implications – This inefficiency is due to the high bank operating costs compared to the bank’s operating income.

Purpose: This chapter discusses the role and use of chatbots adopted by the different categories of banks (private and public sector banks) in India. The chapter presents brief essential services offered by Indian chatbots regarding accuracy, technology providers and virtual assistance, ways to connect, etc. This chapter concluded that most of the questions answered by the Indian chatbots are already available on the banks’ websites, and there is a need for enhancement in the capabilities of Indian chatbots.

Need for the Study: The need for the study is based on the working of banking chatbots, customer query handling, and the efficiency of the chatbots in India. The chapter helps to analyze the services offered by various banks.

Methodology: This chapter is based on secondary data collected from banks’ websites and articles from various journals. The study is based on nine banks (both private and public sectors) those are having working chatbots (SBI, HDFC Bank, ICICI Bank, Yes Bank, IndusInd Bank, Kotak Mahindra Bank, Axis Bank, Andhra Bank, Bank of Baroda). The present study is focused on chatbots, their services, and software applications for various customer-handling capacities.

Findings: The research concluded that Indian banks are investing a small amount in using chatbots, yet Indian chatbots are deficient regarding far too provincial administrations as they are adequate just for standard and basic inquiries. Also, Indian customers are not properly aware of chatbots and virtual assistance.

Practical Implications: This study provides an overview of the working chatbots in India (for both public and private sector banks) and their functions, as well as the capacities of these chatbots. The previous conducted studies are based on the uses, importance, and working of chatbots/artificial intelligence (AI) in banking. In this study, after discussing the different services, it is found that Indian banks need to update their AI/Virtual assistance with more features.

This research sought to examine the differential effect of chatbot banking artificial intelligence (AI) on consumer experience in the banking industry. A positivist paradigm was adopted to sample 389 consumers who were previously exposed to chatbot banking in Zimbabwe. A causal research design was employed whilst a quantitative approach was followed. In analysing data, the research study applied the structural equation modelling (SEM) technique. The authors found that chatbot banking significantly improves customer experience (CX) in the banking industry. Reliability and responsiveness of the chatbot need to be enhanced for effective improvements in CX. A need was also identified to enhance CX through the development of an ease-to-use chatbot which is embedded in everyday messaging applications of consumers. A significant association was also found between perceived benefits of chatbot banking and CX. This study informs the development of competitive advantage by banks and other related companies through AI-based CX management strategies. In times of pandemics and beyond, chatbot banking can be very instrumental in improving CX.

Systemic banking crises can have devastating effects on the economies of developing or industrialized countries. This paper reviews the factors that weaken banking systems and make them more susceptible to crises. It is the first of two papers examining root causes of banking crises and time-consistent policies for resolving them.

The purpose of this research was to investigate at the influence of technology acceptance model (TAM) characteristics including perceived ease of use, perceived compatibility, and perceived security on the perceived utility and actual use of mobile banking among Yemeni academics. It also investigated the function of perceived utility as a moderator in the link between TAM variables and mobile banking adoption. The sample size was 251 respondents who worked at universities in Yemen and were chosen using stratified random selection. According to the findings, perceived compatibility and perceived security had a substantial positive influence on perceived usefulness and real mobile banking use; however perceived simplicity of use had no effect on mobile banking usage. According to the results, perceived usefulness slightly mediated the association between perceived ease of use and security and mobile banking use, whereas it completely mediated the relationship between perceived compatibility and mobile banking usage. Overall, the research proved the significance of TAM elements in academics’ use of mobile banking in Yemen, offering a credible empirical framework for studying mobile banking usage in this setting.

This chapter investigates the presence of a difference in the systemic risk level between Islamic and conventional banks in Bangladesh. The authors compare systemic resilience of three types of banks: fully fledged Islamic banks, purely conventional banks (CB), and CB with Islamic windows. The authors use the market-based systemic risk measures of marginal expected shortfall and systemic risk to identify which type is more vulnerable to a systemic event. The authors also use ΔCoVaR to identify which type contributes more to a systemic event. Using a sample of observations on 27 publicly traded banks operating over the 2005–2014 period, the authors find that CB is the least resilient sector to a systemic event, and is the one that has the highest contribution to systemic risk during crisis times.

This study examines the legal codification of nascent markets, specifically, the process of defining and incorporating Islamic banking and organic agriculture within the legal system in Turkey. I find that actors’ priorities differ significantly with respect to formal codification and that the existing legal order and socio-political and economic contexts shape how state and non-state actors influence legislative and regulative action. This study contributes to our understanding of how actors and their ideological commitments and relational concerns affect the legal formulation of new industries.

The transition in the Nigerian financial environment can be directly linked to digitalization as banks are racing to digital complexity. Historically in Nigeria, the utilization of digital operations by financial institutions is to reduce the burden of long queues in the banking hall and the pressure of carrying cash all the time. The goal of financial technology was to enable bank customers to use digitalized banking services. Hence, the purpose of this paper is to establish an empirical analysis evaluating the effect of service digitalization (internet banking, mobile banking, and automated teller machine) on bank competitiveness. Survey data were collected from 118 banks employees and hypothesized relationships were assessed through SMART-PLS structural equation modeling tool version 3.3.3. The study found a positive and significant impact of internet banking and automated machines on bank competitiveness. The findings also revealed that mobile banking has an insignificant effect on bank competition, although the outcome was positive. Overall, both the regulators and bankers should formulate and integrate their digitalized banking system by focusing on the attributes that are required for effective and safe digital-based banking.

Deregulation and other factors permit and encourage financial institutions to become more integrated, both within their own (financial) industries, such as banking and insurance, and across these industries. Financial regulators have responded with like integration. As financial institutions increasingly compete with firms from other industries and areas, financial regulators similarly compete more across borders. The resulting competition in financial regulation enhances innovation, choice, and efficiency. The advent of home-run regulation, which in general allows financial institutions to adhere only to the financial regulations of their home area and is spreading across the US and Europe, may allow numerous regulatory regimes within a given market.

Purpose: Thanks to the Fourth Industrial Revolution and the digital economy, digital banking has become an attractive business trend. Moreover, the spreading of the Covid-19 virus worldwide over the past two years has boosted the digitalisation of banking services. The development of digital banking is now becoming an uncontroversial issue that will attract the concern of scholars, bank managers, and policy-makers.

Methodology: As an emerging country with a young population having significant digital appliance joy, Vietnam will be a perfect case study to research the development of digital banking. Besides, digital banks, as well as the appliances of artificial intelligence (AI) in the banking sector, have appeared in Vietnam’s banking system at several different levels.

Findings: Moreover, most commercial banks in Vietnam are now in the race to complete their digital services to provide innovative digital banking services that add more value to their clients. Hence, the chapter will describe the overall picture of Vietnam’s current digital banking market.

Implications: Based on the crucial features of the operations of several digital banks and the appliances of AI in the digital banking sector in Vietnam during the chosen period, the author would like to give information on the potential of the Vietnamese digital banking market and suggest the key policies which the Vietnamese government should consider to support the digital transformation of the banking sector in Vietnam.