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Based on the poll’s results, the financial services sector is now on the edge of a digital revolution. Financial institutions are undergoing a period of radical change due to technological advancements in the digital sphere. The widespread use of cutting-edge digital technologies in the real world has accelerated the shift from the conventional economy to the digital economy. Total operational risk as a percentage of total bank capital was 0.65%, which is below the minimum permitted figure. This metric allows for the diversification of company risks. This chapter proposes a novel, future-oriented strategy for studying financial crises, expanding the digital transformation research agenda across disciplines. Accordingly, the authors simulated the study object’s operational risk using an optimal approach to measurements (AMA) in accordance with Basel II (Santander Bank). The study’s findings enabled the authors to determine whether or not the value was necessary for Santander Bank to bear in the next years by calculating the overall value of operational risks and evaluating the indicator’s acceptability relative to the bank’s capital.

In recent years, the field of financial technology (Fintech) has garnered significant attention due to advancements in technology, evolving consumer preferences and the growing need for financial services that are more accessible and user-friendly. The exponential expansion of Fintech is presenting novel prospects and obstacles for business. This study aims to investigate the relationship between gender diversity on corporate boards and firms’ performance, with a particular focus on the moderating role of Fintech.

The study sample consisted of financial sector firms listed on the Bahrain Bourse (banks and insurance firms) during the period 2016–2022. The data were gathered primarily from annual reports and the Bahrain Bourse website. The independent variable represents the percentage of female directors on corporate boards while firms’ accounting and market-based performance were measured using return on assets and Tobin’s Q variables. The moderating variable, Fintech, was measured using a checklist developed using the Global Fintech Adoption Index. Fixed effect (FE) regression was used to analyze the study data. An alternative gender diversity measure was used to test the reliability of the main regression analysis.

The results of the study indicate a positive relationship between gender diversity on corporate boards and financial performance. Additionally, the findings of the study highlighted the positive impact of Fintech practices on firms’ performance. Nevertheless, the impact of Fintech on the relationship between board gender diversity and corporate performance was found to be insignificant.

The study sample included a particular sector in a single country, which may limit the generalizability of the findings. Also, the current study applied FE regression to analyze the data; however, other econometric approaches could be used to overcome the endogeneity issue.

The findings of this study may have implications for policymakers and society, particularly in terms of promoting gender diversity and Fintech innovation.

This study contributes to the existing body of research by examining the potential impact of the percentage of female directors and the utilization of Fintech on firms’ performance in Bahrain. Given the ongoing endeavors to provide advanced Fintech solutions in the financial sector and the increasing focus on enhancing gender diversity in Bahraini corporate boards, this research aims to provide additional evidence in this domain. Moreover, this study stands out as one of the limited number of research endeavors that use Fintech as a moderating variable in the investigation of the impact of female directors on firms’ performance.

Introduction: In a world characterised by volatility, uncertainty, complexity, and ambiguity, change is the only constant. Over the years, human resource management (HRM) has evolved from conventional functions of hiring and firing to being a strategic partner in organisations. Similarly, there has been a paradigm shift in the landscape of artificial intelligence (AI) from being a mere searching tool to the design and development of intelligent robots. Over the years, AI has emerged into a collection of powerful technologies re-inventing different functional areas, including HRM. The application of AI in HRM is perceived as an optimistic opportunity since it ought to bring maximum value at minimum cost. AI focuses on building tools that exhibit human-level intelligence and discernment in making decisions.

Purpose: The purpose of this chapter is to draw deeper insights into the relevance of AI in different functional areas of HRM. Integrating AI into HRM functions such as talent acquisition, training and development, performance management, employee engagement, and the like can help leverage efficiency and create an engaging employee experience. In the wake of Industry 4.0, where digitalisation has become imperative, this chapter explores the integration of AI into specific HR functions for a synergistic competitive advantage in companies. The purpose of this chapter is to signify the integration of AI into four vital functions of HRM, namely talent acquisition, training and development, performance management, and employee engagement. The objective is to chart how companies integrate various AI tools in four specific HRM functions to enhance efficiency. Also, the companies willing to implement AI in their HR functions can refer to the case studies used as exemplars in the chapter.

Methodology: This conceptual chapter is based on the secondary sources, which also build upon case studies of different companies that have implemented AI-enabled solutions and integrated them into different HRM functions and processes per needs. This chapter utilises the conceptual framework of both AI and HRM functions to give deeper insight into the challenges and implementation of technology-enabled solutions.

Findings: AI is used in HRM functions to automate repetitive and operational tasks to shift the focus to more strategic aspects. Despite many advantages of AI and machine learning, very few companies are using it, and companies may integrate technology-enabled solutions based on the size and nature of business.

The purpose of this study aims to examine the effect of fintech on pre- and post-financing credit risks faced by the Islamic banks.

This research uses primary data for fintech awareness and adoption and secondary data of various financial and economic variables from 2009 to 2021. It uses baseline regression to identify moderation of fintech controlling gross domestic products, size, return on assets and leverage. The findings are confirmed using robustness against key variable bias. It also uses a dynamic panel two-stage generalized method of moments for endogeneity.

The study finds that the fintech awareness and adoption are not the same across all Islamic countries. The Asia Pacific region is far ahead of the other two regions where Indonesia is ahead in terms of fintech awareness and adoption, and Malaysia is ahead in terms of reaping its benefits in credit risk management. Fintech affects prefinancing credit risk significantly more than postfinancing credit risk. Also, the study finds that Islamic banks suffer from the problem of “Adverse selection under Shariah compliance.”

This research invites regulators to introduce fintech in Islamic banks on war footing. Similar studies can be conducted on the role of other risks such as operational and market risks. Fintech will also help in improving the risk profile and stability of Islamic banks against systemic risks and financial crises.

This research has variety of originalities. First, it is the pioneering study that addresses the effect of fintech pre- and post-financing credit risks in Islamic banks. Second, it identifies “Adverse selection under Shariah compliance” for Islamic banks. Third, it helps identify how fintech can be useful in reducing credit risk that will help in reducing capital charge for regulatory capital.

This study aims to understand the impacts of Covid-19 on the progression of digitalization of banks in an emerging market. For this purpose, business model canvas (BMC) is used as a theoretical framework to explore these effects on each business elements of Turkish Banks’ business strategies.

Data are collected through structured interviews with the top managers of seven diversified banks. Interview questions are designed based on BMC.

The results show that the onset of the Covid-19 is a shock that has made digitalization a strategic issue that necessitates an urgent change in many business elements of banks such as customer relationships, communication channels, resource allocation, partnerships and financing. Further, it has stimulated redefining value proposition and collaboration/interaction among all financial institutions through digital platforms.

BMC can be used to explain decision-making and business processes of banks for exploring the effect of recent and/or unexpected developments in the business environment of an emerging economy. The results provide insights and recommendations to managers of financial institutions into the impacts of Covid-19 on banks’ operational and strategic processes. That allows financial institutions, including Fintechs, to use this information for taking precautions and proactive actions against shocks.

This study is an initial attempt to explore the impacts of the Covid-19 on banks in an emerging economy by using BMC. With that, this study contributes to the literature by explaining the effect of progression of digitalization in banking from a strategic business model perspective using a qualitative research method.

This paper investigates the viability of the relationship-oriented business model. Specifically, it examines the effects of bank customers' satisfaction, loyalty, and trust in bank advisors on two client-level performance measures; client-level non-interest revenue, and client-level revenue on net interest spread. It further investigates how effects are moderated by differences in clients' risk tolerance and financial literacy.

The findings are based on analyses of a data set that combines survey data (collected from 13,525 bank clients in 2013) with bank record data from each respondent. The cross sectional data is analyzed using OLS-regression and structural equation modeling.

Overall, the findings are that the relationship banking model generates non-interest revenue, but not revenue on net interest spread. In more detail, findings show that trust has a positive direct effect on client-level non-interest revenue. Furthermore, trust mediates the entire effect of satisfaction and loyalty on client-level non-interest revenue. Customer satisfaction and loyalty do not lead to enhanced client-level non-interest revenue if there is little trust in bank advisors. Findings further show that the relevance of trust for non-interest revenue is higher for clients with high risk tolerance and high financial literacy. Satisfaction, loyalty, and trust have no effect, however, on client-level revenue on net interest spread.

While previous literature mainly has used subjective intentions (e.g., repurchase behavior) as operationalization of performance, this paper combines subjective survey data and objective performance data, allowing the investigation of how the customer relationship model affects actual performance. Furthermore, the paper investigates the relational banking model's effect on non-interest and net interest spread revenue, and we show that the relational banking model generates only non-interest revenue, and not net interest spread revenue. The fine-grained client-level data also allows the investigation on how the effect of trust on client-level performance differs among client groups with different cognitive characteristics (i.e., risk tolerance and financial literacy).

This study aims to explore the existing Islamic financial technology (fintech) lending in Indonesia. Doing so is to better understand in what way the fintech firms have been promoting the global movement of sustainable development goals (SDGs) in the local context.

This study engages qualitative methods. This paper first reviews relevant literature related to fintech and establishes the substantive definition of Islamic fintech. Further, the existing literature of SDGs is explored to understand its original idea and its recent implementation, particularly in Indonesia. Following this, the official reports from the domestic regulators are referred to select the fintech firms which meet the criteria of Islamic fintech lending based on the proposed definition. The selected firms are then analysed based on several themes which best capture their position in promoting the SDGs. Finally, the discussion is linked to the recent performance of Indonesia in implementing SDGs.

This work finds that the reviewed fintech firms have been promoting the idea of financial inclusion, for example, financing the underdeveloped sectors such as agriculture and small and micro enterprises (SMEs). Furthermore, the selected fintech firms are also found to collect and distribute Islamic social funds such as infaq (charity spending), waqf (endowment) and sadaqah (voluntary charity). Besides, the firms are also found to initiate charity programmes for underprivileged community. In some degree, these findings are synonymous of the firms’ effort in promoting SDG of ending poverty (SDG 1) and hunger (SDG 2) and reducing the inequalities (SDG 10).

The discussion of this work does not provide any positivist generalisation due to the method used.

The Indonesian Government is advised to legally engage with the existing fintech firms and other related stakeholders to best solve its recent issue of the declining trend in SDG 15 (life on land).

This work elaborates in what way the Islamic fintech lending has been promoting the SDGs in Indonesian context. In some extent, such discussion can best challenge the social issue of fintech which has been stigmatised of bringing mafsadah (harm), as subjectively claimed by one particular religious group in Indonesia.

This study is among the pioneers which offers the definition of Islamic fintech and further explains its position in endorsing the global movement of SDGs.

This paper aims to investigate and discover the demographic characteristics of corporate leaders (CEOs) in Fintech sector firms representing the implementation of the sustainable business model. Particularly, the purpose is to identify a benchmark profile of CEOs and to understand which are the main features (e.g. age, tenure, education specification, education level, gender, nationality, years of entrepreneurship, years in financial functions, years in IT functions), giving more opportunity to develop and maintain sustainable business models using innovative platforms.

The research questions are answered through a quali-quantitative methodology using descriptive and statistical approaches. The researchers collected a sample of 100 Fintech firms from the main Fintech firms in 2018 identified by the annual KPMG Report (2019). Thus, the research observed and tested the average level of the major CEO demographic features. Additionally, the paper explored whether these variables have a major probability to affect Fintech leading.

Assuming a relevant part of Fintech firms, the main results of this paper show the relevance of several CEO demographic characteristics. Additionally, the age, the tenure and the presence of an MBA are significant elements in affecting Leading companies.

The paper is novel because it contributes to the literature examining the internal governance and sustainable business model, still not explored. Moreover, this study contributes to identifying the CEO demographic characteristics that foster financial institutions' transition towards sustainable business models.