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This paper aims to delve into the factors influencing the adoption of Islamic Fintech and investigates the potential impact of Religious Orientation.

The study uses a questionnaire to collect data from 291 Jordanians, using Structural Equation Model – Partial Least Squares (SEM-PLS) to evaluate the research model and test hypotheses.

The outcomes of the Smart PLS path analysis revealed that several factors significantly influence the adoption of Islamic Fintech. Notably, perceived risk, financial literacy, trust and convenience were identified as pivotal determinants in shaping individuals' decisions to adopt Islamic Fintech. Additionally, the study unveils the noteworthy role of religious orientation as a moderator, impacting the relationship between perceived risk, financial literacy, trust and convenience concerning the adoption of Islamic Fintech.

This study contributes fresh insights to the existing literature concerning the adoption of Islamic Fintech, enhancing the understanding of the key drivers in this domain. Furthermore, it emphasizes the practical implications of religious orientation in shaping individuals' attitudes and behaviors pertaining to Islamic Fintech adoption.

The global Islamic financial landscape is changing with rapid advances in technology. The increasingly tech-savvy demography is presenting both opportunities and challenges to the industry. With the advances in e-finance and mobile technologies, financial technology (Fintech) innovations emerged by combining the e-finance, Internet, social networking services, social media, artificial intelligence (AI) and big data analytics. Fintech promises to reshape the Islamic financial landscape by improving processes’ efficiencies, cost-effectiveness, increased distribution, Sharīʿah compliance and financial inclusion. As far as the Islamic fund management industry is concerned, AI seems to be the keyword. Islamic fund managers have recently started to incorporate AI and big data analytics into their strategy in the process of making accurate decisions based on facts and figures, which eliminates any biases and personal intuition. This disruption in status quo is raising new issues, new concerns and new exciting opportunities. While disruption may carry negative connotations, the industry players have been embracing the innovation and potential revolution the technology could offer. Thus, the objective of this chapter is to discuss legal aspects of Fintech and its impact on the Islamic fund management industry in Malaysia. This chapter introduces a historical overview of Fintech and its evolution in the Islamic fund management industry. This chapter further provides an overview of the legal and regulatory aspects of Fintech with regards to the industry. Finally, legal issues and challenges are identified and discussed. Being a legal research, this chapter adopts a qualitative method by analysing the relevant literatures on the subject. This chapter is expected to provide an insight into the application of Fintech and its impact on the Islamic fund management industry in Malaysia.

The worldwide trend of Financial Technology (Fintech) reached the Malaysian shores in the past few years, making the observations and analysis of this subject more critical than ever. Furthermore, Fintech has developed to be an unavoidable area in the Islamic finance industry. Therefore, this chapter seeks to analyse the development of Fintech in the Islamic finance industry and its connection to Islamic economics, as well as the impact towards existing regulatory mechanisms. While the scarcity of studies on this area is apparent, the authors have identified the undebatable need to regulate the development of the Fintech industry and its effects while analysing the drawbacks and positive effects of Fintech towards parties involved in the Islamic finance industry. This chapter objectively studies the phenomenon of Islamic Fintech globally with emphasis on Malaysia through analytical research methods by utilising existing facts and findings on Fintech to make proposals for possible issues identified. Existing legal frameworks are studied and scrutinised to determine whether they can accommodate the rapidly evolving Fintech. The new Regulatory Sandbox by Malaysia’s central bank and existing laws are also examined. It is found that there is a room for improvement to the current regulatory framework.

This study aims to provide a better comprehension of the behavioural intentions that influence the adoption of Islamic financial technology (Fintech) in Malaysia for two kinds of Islamic lending Fintech services, which are crowdfunding and peer-to-peer (P2P) lending.

From May to July 2022 the primary data were collected by using a questionnaire distributed online to survey 437 Islamic Fintech clients in Malaysia. Structural equation modelling has been used to analyse the data based on using the partial least squares approach.

The findings of this paper shows that planned behaviour, acceptance model and technology's use models are positively impacting factors that influence customers' opinions on adapting Islamic Fintech services in lending. The acceptance model was found to exert a negative impact on the intention to adopt Islamic lending P2P Fintech service. In addition, technology's use has a negative impact on the intention to adopt Islamic lending crowdfunding Fintech service.

First, the study is limited to Islamic Fintech customers in Malaysia only, second, the study adopted an online survey but there is no guarantee that the geography area was fully covered. Another limitation is that the study covers only Islamic Fintech services in lending, thus the study did not attend to variables such as religiosity and the authors believe that this will provide useful insights for future research.

Despite the importance of this topic, there has been a lack of empirical evidence until now. In this paper, the authors take stock of the empirical evidence in the literature through the importance of the adoption Fintech. This study provides a broad view of the market potentials for Fintech providers from the demand side on a wide range of Islamic Fintech services rather than focussing only on payment, transfer, etc. as presented in previous studies.

This study aims at two objectives, i.e. first, to identify the core elements of the Islamic fintech ecosystem, and second, to use the identified core elements to analyse the development of such an ecosystem in Indonesia.

This work combines data analytics of text mining with qualitative analysis of human intelligence in two steps. First, knowledge discovery of the Islamic fintech ecosystem’s core elements using a sample of eight academic articles totalling 102 pages and 75,082 words. Second, using the identified core elements from step one to explore such ecosystem development in Indonesia. This stage employs a sample of 11 documents totalling 371 pages and 143,032 words from cyberspace.

The core elements of the Islamic fintech ecosystem identified are financial customers, fintech startups, government, technology developers, traditional financial institutions and fatwa (Islamic legal opinion). Furthermore, the development of the Islamic fintech ecosystem in Indonesia is examined under these identified core elements, providing critical insights into the Islamic fintech ecosystem currently established in the country's industry.

This study primarily used semi-structured data from cyberspace. Traditional approaches to qualitative data collection, e.g. focused group discussions and interviews, may be beneficial for future studies in addressing the Islamic fintech ecosystem issues.

Academia worldwide may benefit from this work in incorporating knowledge of Islamic fintech ecosystem’s core elements into Islamic finance literature. Specifically, fintech stakeholders in Indonesia may be advantaged to understand how far the Islamic fintech ecosystem has grown in the country.

The rise of unethical fintech peer-to-peer lending shows social problems in Indonesia’s fintech industry. The finding derives social implications that elucidate the current state of the country’s Islamic fintech ecosystem.

Using a kind of big data (i.e. semi-structured text data) from cyberspace and applying steps of text mining combined with qualitative analysis, may contribute to the creation of novelties for qualitative research on financial issues.

This paper aims to examine the impact of financial technology (FinTech) startups on Islamic and conventional banking performance in Indonesia.

Data were collected from a sample of 124 conventional and Islamic banks in Indonesia from 2004 to 2018. The two-step generalized methods of moments was used to estimate the system model.

This study finds that FinTech startups have a detrimental effect on bank performance. This study also finds that Islamic banks have low performance compared to conventional banks. However, when FinTech startups interact with Islamic banks, this paper discovers that a greater number of FinTech startups have a positive effect on the performance of Islamic banks, particularly the peer-to-peer lending category. Additionally, this paper finds that FinTech startups improve Islamic banks' performance in both normal and crisis periods.

This paper provides recommendations for Islamic bank management and supervisors to deal with FinTech startups during normal and crisis periods by collaborating with FinTech startups and being willing to adopt cutting-edge financial technology applications.

This paper provides evidence of the impact of FinTech on the performance of Islamic banks, specifically on peer-to-peer lending and payment startup during the crisis and normal periods.

This study aims to design appropriate micro-fintech models for Islamic microfinance institutions (IMFIs), especially Baitul Maal wat Tamwil (BMT) in Indonesia, thus enabling BMT to combine Islamic social and commercial microfinance optimally.

This study uses the analytic network process and Delphi methods, with three groups of experts as the respondents, namely, academician-regulators, BMT practitioners and Fintech practitioners.

The first results show that the micro-fintech tools needed by IMFI/BMT are digital banking, payment, peer-to-peer (P2P) financing, P2P social and e-commerce. These could be developed by a BMT alone or with an APEX or Association, which could also collaborate with an existing fintech company that specialises in micro-fintech, applying the offline to online approach. This means that commercial funding, as well as social fundraising of zakat and waqf, would be conducted online, whereas commercial financing for micro and small enterprise customers and the disbursement of zakat and waqf would be conducted offline. The second results show that the limited open ecosystem and hybrid ecosystem are the most appropriate micro-fintech ecosystems for IMFIs/BMT, with various alternative models. In addition, the private closed ecosystem preferred by BMT would be feasible if all criteria show improvement in the future.

This study is qualitative in nature. The methods used have limitations, meaning the models could be improved by incorporating other methods. Moreover, the case and respondents are all Indonesian, which means that the results may only be applicable to BMTs in Indonesia.

A BMT and/or BMT association could immediately apply micro-fintech with a limited open ecosystem, while in the future, they could apply micro-fintech with a private closed ecosystem.

The micro-fintech model could be used to optimise the collections of zakat, infaq and waqf, meaning BMT could provide more social programmes for those in need.

The growth of fintech in Islamic microfinance has occurred only recently, while only a limited number of studies have been conducted; therefore, no study exists on the development of a micro-fintech model appropriate for IMFIs, especially BMT.

This study aims to examine the results of structural equation modelling in applying unified theory of acceptance and use of technology in adopting Islamic Fintech among millennials in Malaysia via measurement and structural models.

A total of 418 valid responses have been obtained from Malaysians who are using Islamic Fintech. Before the data is analysed into measurement and structural modelling preliminary analysis such as common method bias has been conducted.

All the requirements for model fit in this study have been achieved. Four exogenous constructs are performance expectancy, effort expectancy, social influence and facilitating condition. The mediating construct is behavioural intention, whereas the endogenous variable is user adoption. All exogenous constructs show significant p-values except for effort expectancy.

This study offers important implications, specifically for the digital economy that is currently making its way throughout every aspect of human life, namely, social, religious, financial transaction, entertainment and others. The impact of the digital economy can be traced through the emergence of Fintech. The adoption of Islamic Fintech is one of the least discussed areas academically, therefore, this study is considered necessary to explore the prediction of consumer behaviour in Islamic Fintech adoption as a part of the digital economy in Malaysia.

This study fills the perceived gap in the existing financial technology literature by assessing Islamic financial technology adoption via measurement and structural modelling.

This paper aims to examine the determinants that influence bank users’ acceptance for Islamic financial technology (FinTech) services by extending the technology acceptance model (TAM) in the Malaysian context.

The survey was conducted using convenience sampling. Moreover, 205 responses were gathered from users of the Islamic bank. On the same note, the literature on determinants of Islamic FinTech acceptance and TAM was reviewed as well in a bid to contribute to the factors that are instrumental in determining the acceptance of FinTech services.

Findings of the study reveal that Islamic FinTech’s services acceptance is determined by perceived ease of use, perceived usefulness and also by another variable, which is consumer innovativeness (CI). On the contrary other factors, self-efficacy and subjective norms are found not to be influential in determining Islamic FinTech’s acceptance by Islamic banking users.

TAM is extended in the context of Islamic FinTech. A new variable, namely, CI is tested using TAM. CI is yet to be tested, therefore, this paper will be a useful reference for the policymakers, academicians and future researchers.

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.