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The purpose of this study is to examine the impact of the marketing mix, customer perceptions, and religion on the buying decision of Islamic banking products in an emerging market namely the United Arab Emirates (UAE).

This study adopts a quantitative approach to analyze the data of 435 respondents collected through an online survey during January–February 2022. Data analysis of direct and moderating relationships are done through Smart PLS (partial least squares) using structural equation modelling (SEM) technique.

The results indicate that marketing mix (product, price, place and promotion) and customer perceptions have a positive direct relation with the buying decision of Islamic banking products in the UAE. However, moderation analysis shows that religion is a non-significant moderator for the above relationships.

This study combines potential variables from the perspectives of marketing, human mindset, and individual beliefs. The findings of this study provide a wider understanding of consumer behavior toward Islamic banking products. Marketers of the Islamic banking industry can utilize these findings for effective market segmentation and well-crafted marketing strategies. This will ultimately contribute to the sustainable growth and development of the Islamic banking industry in the UAE and other regions.

This paper aims to propose a model for democratization of Islamic home financing to tackle the issue of sustainability of homeownership affordability.

A conceptual framework and fractional equity model (FEM) are developed to incorporate big data analytics, artificial intelligence and blockchain technology in an ecosystem for affordability and sustainability of homeownership via the proposed financing model. In addition, the FEM adopts the simulation approach to show its validity in terms of liquidity when compared with traditional home financing. In this regard, this paper is focused on developing and demonstrating the feasibility of a new financing model, rather than testing specific hypotheses or relationships. This is to propose the democratization model for Islamic Home Financing that will not benefit the prospective home buyers without compromising the profitability of the financial institutions.

The findings indicate that the proposed end-to-end solution within the financing ecosystem can lead to more efficient matching market between the buyers and sellers of houses, reduced transaction costs, greater transparency and enhanced efficiency which in the end could lead to lower costs of owning homes and sustained financial resilience among house owners. The findings indicate that the FEM model is able to increase homeownership with more elements of liquidity, marketability and sustainability for homebuyers.

This research highlights the potential of big data and blockchain technology in democratizing Islamic home financing and evidence that the transfer of ownership is possible through tokenization. However, this will require a mature financing environment to adapt the technology for practical application.

The model proposes a solution to propagate shared prosperity among stakeholders such as the house buyers/owners, sellers, investors as well the government agencies. The proposed FEM model provides alternative home financing that is more marketable, flexible and sustainable for households/buyers and financiers.

It is hoped that with the proposed financing ecosystem to promote affordability and sustainability of homeownership via big data analytics, artificial intelligence and blockchain technology can lead to greater financial resilience for homeowners which can then be translated to enhanced well-being, increased productivity and can further promote economic growth.

This research is a concept paper based on academic research and industry collaboration with a technology provider.

This paper aims to investigate the impact of halal awareness on the relationship between halal supply chain knowledge and purchase intention for halal meat products in the millennial generation.

The quantitative approach with the respondents of 177 millennial generations in Indonesia is selected to understand the relationships between variables. Structural equation model-partial least square is used to analyze the relationship between variables.

The findings of this study found that the purchase intention of halal products in the millennial generation is influenced by several factors such as halal supply chain knowledge, halal certification and logo and religious beliefs. However, the results of this study also show that concern for halal products failed to moderate the relationship between these three main variables on the purchase intention of halal products.

This study provides insights into the concern that strengthens the relationship between the main variables on the intention to purchase halal meat products for the millennial generation.

The purpose of this paper is to investigate a distinct set of characteristics that influence Muslim customers’ intentions to purchase Ar-Rahnu Islamic financing contract in Malaysia.

The study studied the impact of perceived value, perceived quality, perceived financial advantages, religious commitment and product knowledge on the purchase intention Ar-Rahnu Islamic financing contract using a quantitative research approach. A Google Form-based online survey was created and distributed through Twitter, Facebook and Instagram, among others. The survey data were analysed using structural equation modelling with a partial-least-square estimation property (PLS-SEM).

The study results suggested that Muslim customers in Malaysia had a greater propensity to buy Ar-Rahnu Islamic financing contract. Analysis of the data revealed that perceived value, perceived quality, perceived financial benefits and religious commitment had direct effects on the desire to buy Ar-Rahnu Islamic financing contract in Malaysia. In addition, the results reveal that religious commitment, perceived quality and perceived financial benefit are the top three important factors in explaining Ar-Rahnu Islamic financing contract buying intentions in this country.

Muslim customers may use Ar-Rahnu Islamic financing contract as a short-term credit alternative to enhance their financial standing. Ar-Rahnu Islamic financing contract generates a substantial quantity of credit demand and supply, which not only allows Muslim customers to adhere to Islamic standards but also contributes to the expansion of the economy. The result would aid and advise Ar-Rahnu finance resources and legislators in measuring the efficacy of the program in Malaysia, especially among Muslim customers.

Ar-Rahnu Islamic financing contract as a financing alternative has been explored extensively, but this study takes a whole new approach to the subject by looking at dimensions of perceived value, perceived quality and perceived financial benefit along with individual product knowledge and religious commitment. Consequently, this study will contribute to the understanding of how Muslim customers will respond to the Ar-Rahnu Islamic financing contract and will assist financial institutions in increasing the possibility that Muslim consumers would acquire Ar-Rahnu Islamic financing contract.

This study aims to identify calendar anomalies that can affect stock returns and asymmetric volatility. Thus, the objective of this study is twofold: on the one hand, it examines the impact of calendar anomalies on the returns of both conventional and Islamic indices in Indonesia, and on the other hand, it analyzes the impact of these anomalies on return volatility and whether this impact differs between the two indices.

The authors apply the GJR-generalized autoregressive conditional heteroskedasticity model to daily data of the Jakarta Composite Index (JCI) and the Jakarta Islamic Index for the period ranging from October 6, 2000 to March 4, 2022.

The authors provide evidence that the turn-of-the-month (TOM) effect is present in both conventional and Islamic indices, whereas the January effect is present only for the conventional index and the Monday effect is present only for the Islamic index. The month of Ramadan exhibits a positive effect for the Islamic index and a negative effect for the conventional index. Conversely, the crisis effect seems to be the same for the two indices. Overall, the results suggest that the impact of market anomalies on returns and volatility differs significantly between conventional and Islamic indices.

This study provides useful information for understanding the characteristics of the Indonesian stock market and can help investors to make their choice between Islamic and conventional equities. Given the presence of some calendar anomalies in the Indonesia stock market, investors could obtain abnormal returns by optimizing an investment strategy based on seasonal return patterns. Regarding the day-of-the-week effect, it is found that Friday’s mean returns are the highest among the weekdays for both indices which implies that investors in the Indonesian stock market should trade more on Fridays. Similarly, the TOM effect is significantly positive for both indices, suggesting that for investors are called to concentrate their transactions from the last day of the month to the fourth day of the following month. The January effect is positive and statistically significant only for the conventional index (JCI) which implies that it is more beneficial for investors to invest only in conventional assets. In contrast, it seems that it is more advantageous for investors to invest only in Islamic assets during Ramadan. In addition, the findings reveal that the two indices exhibit lower returns and higher volatility, which implies that it is recommended for investors to find other assets that can serve as a safe refuge during turbulent periods. Overall, the existence of these calendar anomalies implies that policymakers are called to implement the required measures to increase market efficiency.

The existing literature on calendar anomalies is abundant, but it is mostly focused on conventional stocks and has not been sufficiently extended to address the presence of these anomalies in Shariah-compliant stocks. To the best of the authors’ knowledge, no study to date has examined the presence of calendar anomalies and asymmetric volatility in both Islamic and conventional stock indices in Indonesia.

This paper evaluates the performance of actively managed conventional and Islamic equity funds in a developing economy with a focus to assess the performance-growth puzzle posited by Gruber (1993) (a.k.a Gruber’s puzzle). Under the context of an emerging market of Pakistan, this study explores if actively managed equity fund (AMEF) managers have been able to add value by outperforming the market in terms of stock-selection and market-timing abilities; and the comparative performance analysis of Islamic versus conventional AMEFs is also carried out.

We employ Sharpe and Treynor ratios, Capital asset pricing model, Fama–French three factors model (1993), Carhart four-factor model (1997) and Hendrickson (1981) market timing models on 45 equity funds comprising of 23 conventional and 22 Islamic equity funds operating in Pakistan for a period of 10 years. The overall sample period (2008–2018) is divided into two 5 years sub-periods (i.e. 2009–2013 and 2014–2018) and three 3 years sub-periods (2009–2011, 2012–2014 and 2015–2017) to be viewed in conjunction with the country's macro-economic condition.

We report that the actively managed equity funds (AMEFs) were unable to beat the market index with their stock selection or market timing capabilities. However, AMEFs depicted improved performance in the post-global financial crisis period where both conventional and Islamic AMEFs generated substantial rewards for the given amount of risk. Also, conventional AMEFs outperformed Islamic AMEFs potentially due to their holdings in highly leveraged value and large-cap stocks, while Islamic AMEFS invest more cautiously in small-cap and value firms. Analysis of market timing skills revealed that the funds have not been able to select the undervalued stocks and adopted a defensive strategy in the post-global financial crisis recovery period.

Our findings shed some interesting insights and raise some pertinent questions for research, policy, and practice – specifically for developing countries’ context. The no ‘return-growth’ configuration defies its fit with the ‘Gruber puzzle’ and somewhat presents a case of what we call the ‘Inverse Grubber puzzle’. This novel notion of the ‘Inverse Grubber puzzle’ should inform policy and practice to reflect on their practices, institutional arrangement, regulatory framework and policy design in developing economies characterized by lacklustre performance and growth of AMEFs. For example, the regulatory design may consider focusing on stimulating financial inclusion and deepening by motivating low-cost Index tracker funds (ITFs) – with lower fund management costs, while allocating the avoided cost to flow towards effective marketing campaigns driving greater awareness, financial deepening, and investor base diversification. For future research, financial development researchers may explore the implications and appropriateness of AMEFs versus ITFs in other developing economies.

The work reported in this paper is original and constitutes a valuable asset for ethno-religious-sensitive investors. The research has not been published in any capacity and is not under consideration for publication elsewhere.

Considering the speedy growth of Islamic finance and limited research work on Muslim behavior regarding Islamic Banking, this study aims to investigate to comprehend the stimulus of religiosity on customer’s behavior.

A conceptual model is developed on existing literature. The key dimensions of religiosity in the model include practice, knowledge, experience and consequences to capture the whole religiosity of customers. Model of the study investigates the impact of customer’s religiosity on their behavior in decision-making about selection of Islamic bank. Analysis of the study is based on the sample of 370 customers of Islamic banks from District Nowshera Khyber Pakhtunkhwa, Pakistan. The data for the study collected through random sampling by a comprehensive survey questionnaire. Binary logistic model is used to test the data for statistical analysis.

The key findings of the study suggest that religiosity influence customer behavior positively in decision-making regarding Islamic finance. Service standards of Islamic banking has also significant impact on customer perception, while the financial education of the customers has insignificant impact on customer behavior.

This study mainly focused on the curiosity of the customer religious commitment, so religiosity is a vast phenomenon; there are deep sections in each dimension of religiosity, so further study is suggested for the comprehensive capture of each dimension of religiosity.

The results of the study have a great importance for the managers of Islamic finance industry to identify and detect the potential customers and divide the target market of banking industry on the base of religiosity. Furthermore, the study may bring significant managerial suggestions for marketing planners and can help them in market segmentation strategies.

The study examined the association between Muslim religiosity and Islamic banking customer’s selection behavior. This study spread the understanding of religiosity and its impact on Islamic banking customer’s behavior. Furthermore, the study is valuable to discover the level to which religiosity determines the inclinations of customers. This study helps marketing practitioners and researchers to grow their knowledge about customer’s motives in terms of religious commitment.

This study examined the impact of; COVID-19 investor sentiment, COVID-19 cases, geopolitical risk (GPR), economic policy uncertainty (EPU), oil returns and Islamic banking on bank stock returns. In addition, it examined whether Islamic bank stock returns differed from conventional banks when interacting with selected variables.

This study consisted of 137 conventional and Islamic stock market listed banks in 16 Middle East and North Africa (MENA) countries from February 2020 to July 2021. Monthly data were used for bank stock returns, number of COVID-19 cases, COVID-19 investor sentiment, oil price and EPU, while GPR data were obtained annually. This paper used unconditional quantile regression (UQR) in its analysis.

COVID-19 investor sentiment and EPU negatively influenced bank stock returns. However, oil returns were only positive and significant in first quantile. Conversely, GPR negatively impacted bank returns up to the median quantile, while the impact was positive in upper quantiles. Islamic banks outperformed conventional banks in all quantiles. Additionally, GPR negatively influenced Islamic bank returns up to 75th quantile, while oil returns negatively impacted Islamic bank returns up to 95th quantile. Ultimately, COVID-19 investor sentiment and EPU positively influenced Islamic bank returns up to 95th quantile.

Market conditions must be considered when implementing investment decisions and policies, as the effects of market shocks are mostly asymmetrical. For example, it is important for international investors to take into consideration asymmetric factors, such as market uncertainty in oil market. Especially in bearish Islamic markets, bad news concerning uncertainty can be perceived as riskier than good news.

A change in health sentiment, such as COVID-19 cases and COVID-19 investor sentiment, can be used to determine future direction of conventional and Islamic stock markets. Asymmetric effects associated with market news can make portfolio management more effective. COVID-19 investor sentiment states can be used to predict Islamic market index dynamics in MENA region.

This paper offered insight into heterogeneity of market conditions and dependencies of Islamic banks' stock market returns on COVID-19 investor sentiment and uncertainty, among others that should be considered when implementing investment decisions and policies.

This study aims to identify the problems in shariah compliance and the weak oversight of implementing Islamic crowdfunding (ICF). Shariah compliance regulation is an essential subsystem in Islamic social finance ecosystems.

This type of research is legal research. The research approaches are the statute, comparative and conceptual approaches. The study in this research examines Indonesia, the UK and Malaysia.

ICF is one of the fastest-growing sectors of Islamic financial technology (fintech). The Islamic fintech sector is showing maturity signals with a market size of $79bn in 2021, projected at $179bn in 2026. Malaysia, Saudi Arabia and Indonesia lead the Index by Global Islamic Fintech (GIFT) Index scores. However, low shariah compliance is still an issue in implementing ICF. This problem is caused by regulatory support that is still lacking and oversight of shariah compliance is not optimal. On the one hand, shariah compliance is the ICF core principle for Shariah Governance.

This study examines the regulation and oversight of ICF in Indonesia, Malaysia and the UK. Indonesia and Malaysia, a country with the highest GIFT index score in the world, and the UK, a country with an Islamic finance sector experiencing rapid growth.

The research results on shariah compliance regulation in ICF are helpful as a comprehensive approach for developing sustainable Islamic social finance ecosystems.

Shariah compliance is the core principle of ICF governance. Its implementation can increase public trust.

Crowdfunding platform and issuers in ICF must implement shariah compliance. Therefore, it is essential to consider the presence of shariah compliance requirements and a Shariah Supervisory Board (DPS).

This study aims to examine the dynamics of the market development of Islamic banking in Pakistan. This study investigates how shocks to the economy in the form of changes in benchmark rate and exchange rate and internal factors such as efficiency, profitability and asset quality affect the development of Islamic banking. The study also evaluates the impact of Islamic banking on the real economy in the macro perspective and society at large in terms of inclusiveness, competitiveness and fairness.

Autoregressive distributed lagged model method is used for analysing the short-run and long-run determinants of market development of Islamic banking and the economic impact of Islamic banking on the real economy.

Profitability and exchange rate have a positive effect on market development of Islamic banking while higher inefficiency and interbank rate have a negative effect. On the other hand, financing intensity and profitability in Islamic banking positively affect the large-scale manufacturing sector.

Stable profits, high asset quality, efficiency and rising import demand with low policy rate environment complement Islamic banking growth. Moreover, the economic assessment shows that Islamic banks have been able to achieve the financial inclusion of those who want to avoid Riba, but they need concerted efforts to improve competitiveness and distinction with regard to distributional impact.

To the best of the authors’ knowledge, this is the first study in Pakistan to evaluate determinants of market development of Islamic banking taking 16-year quarterly data and assessing the economic effects of Islamic banking on inclusiveness, competitiveness and fairness.