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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.

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.

Robo-advisory has become an increasingly popular asset management tool in recent decades. This paper studies the association between robo-advisor usage and perceived financial satisfaction.

Using data extracted from the National Financial Capability Study 2015 (NFCS2015), the present study carried out a logistic analysis that examines the association between robo-advisory and perceived financial satisfaction. This model also studies the interaction effect of age on this association.

The present study finds that robo-advisor usage is positively correlated with a person’s perceived financial satisfaction after controlling for covariates related to financial literacy and other demographic factors. Moreover, the present study reveals that age moderates the association between robo-advisory usage and financial satisfaction. The results are robust after regressing financial satisfaction on robo-advisory by different age groups.

This paper extends existing literature on robo-advisory by showing that robo-advisory usage relates to a higher level of financial satisfaction. This finding helps understand the rapidly increasing trend of robo-advisory in the financial industry. Moreover, the present study reveals a moderate effect of age on the association between robo-advisory usage and perceived financial satisfaction.

Financial services industry is increasingly showing interest in automated financial advisors, or robo-advisors, with the aim of democratizing access to financial advice and stimulating investment behavior among populations that were previously less active and less served. However, the extent to which consumers trust this technology influences the adoption of rob-advisors. The resemblance to a human, or anthropomorphism, can provide a sense of social presence and increase trust.

In this paper, we conduct an experiment (N = 223) to test the effect of anthropomorphism (low vs medium vs high) and gender (male vs female) of the robo-advisor on social presence. This perception, in turn, enables consumers to evaluate personality characteristics of the robo-advisor, such as competence, warmth, and persuasiveness, all of which are related to trust in the robo-advisor. We separately conduct an experimental study (N = 206) testing the effect of gender neutrality on consumer responses to robo-advisory anthropomorphism.

Our results show that consumers prefer human-alike robo-advisors over machinelike or humanoid robo-advisors. This preference is only observed for male robo-advisors and is explained by perceived competence and perceived persuasiveness. Furthermore, highlighting gender neutrality undermines the positive effect of robo-advisor anthropomorphism on trust.

We contribute to the body of knowledge on robo-advisor design by showing the effect of robot’s anthropomorphism and gender on consumer perceptions and trust. Consequently, we offer insightful recommendations to promote the adoption of robo-advisory services in the financial sector.

This study aims to examine the nexus between digital financial literacy and customers’ perceived financial behavior within the Kuwaiti context. Moreover, it will further explore how digital financial literacy relates to financial behavior dimensions.

Data collection was facilitated by creating a questionnaire derived from multiple literature sources. This study used a cross-sectional, time-based dimension. Data was analyzed using the partial least square (PLS) structural equation modeling approach, using the Smart-PLS 4 software for computation.

Findings demonstrated a significant relationship between digital financial literacy and financial behavior, with a path coefficient of 0.542, a p-value of 0.000 and an R² value of 0.581. The explorative model revealed substantial relationships between many dimensions of digital financial literacy and various dimensions of financial behavior. More precisely, financial knowledge, awareness and decision-making were the factors that had the most significant impact on financial behavior.

Kuwaiti policymakers should consider including digital financial literacy programs in comprehensive financial education programs to improve public understanding of digital financial instruments and their consequences.

As the authors know, this is the initial endeavor to evaluate the relationship between digital financial literacy, financial behavior and their respective dimensions.

This paper explores the current state of Robo-advisory services in India. This paper further highlights the problems experienced by the service providers in disseminating the innovative business model among the Indians.

The study adopts a qualitative approach to investigate the industry experts by conducting semi-structured interviews. The data collected were transcripted and further analyzed using the content analysis technique. Finally, the authors utilized categorization and coding techniques to frame broad study themes.

The study findings reveal that the three pillars of Robo-advisory are ease and convenience, the time factor and transparency in operations. Robo-advisory services are still at a nascent stage in India. Furthermore, keeping the sentiments of Indians in mind, FinTech companies could combine automated Robo-advisory with a human touch of a wealth manager for optimal advisory services.

Since the present study is qualitative, the authors cannot generalize the study results. Future research can focus on empirically proving the constructs of the study using quantitative methods.

Robo-advisors have a well-established market in developed nations but are still nascent in developing countries like India. The current focus of service providers and regulatory authorities must be to increase awareness among investors by educating the investors and building trust.

The present study is the first to qualitatively synthesize the challenges faced by the FinTech service providers in the Indian market.

Artificial intelligence (AI) is transforming consumers' experiences and how firms identify, create, nurture and manage interactive marketing relationships. However, most marketers do not have a clear understanding of what AI is and how it may mutually benefit consumers and firms. In this paper, the authors conduct an extensive review of the marketing literature, develop an AI framework for understanding value co-creation in interactive buyer–seller marketing relationships, identify research gaps and offer a future research agenda.

The authors first conduct an extensive literature review in 16 top marketing journals on AI. Based on this review, an AI framework for understanding value co-creation in interactive buyer–seller marketing relationships was conceptualized.

The literature review led to a number of key research findings and summary areas: (1) an historical perspective, (2) definitions and boundaries of AI, (3) AI and interactive marketing, (4) relevant theories in the domain of interactive marketing and (5) synthesizing AI research based on antecedents to AI usage, interactive AI usage contexts and AI-enabled value co-creation outcomes.

This is one of the most extensive reviews of AI literature in marketing, including an evaluation of in excess or 300 conceptual and empirical research. Based on the findings, the authors offer a future research agenda, including a visual titled “What is AI in Interactive Marketing? AI design factors, AI core elements & interactive marketing AI usage contexts.”