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This study aims to determine the effect of Islamic branding, experiential marketing and word of mouth on college decisions and to find marketing strategies through strengthening Islamic branding based on experiential marketing to increase the number of students at Muhammadiyah-Aisyiyah Higher Education.

This study used a quantitative method, with data collection carried out using a survey method by giving questionnaires to respondents. The respondents' criteria are active students, at least in semester three, who have studied at Muhammadiyah-Aisyiyah Higher Education in Indonesia, using a sampling technique with accidental sampling. Data analysis used Partial Least Square - Structural Equation Modeling to determine the estimated results or model predictions.

The results showed a significant direct effect of experiential marketing, Islamic branding and word of mouth on college decisions. There is an indirect effect between experiential marketing and Islamic branding on college decisions through word of mouth, but the word-of-mouth variable could not mediate the relationship between experiential marketing and Islamic branding on college decisions perfectly.

The limitation of the results of the study is that it uses respondents who are and have participated in learning activities on the Muhammadiyah-Aisyiyah Higher Education, where the Muhammadiyah-Aisyiyah Higher Education has added value compared to other private campuses. The added value on the Muhammadiyah-Aisyiyah Higher Education is the overall learning activity based on Kemuhammadiyahan Islam in Indonesia. Islam Kemuhammadiyahan is the identity of the Islamic branding strategy on the Muhammadiyah-Aisyiyah Higher Education, which is only owned by the Muhammadiyah-Aisyiyah Higher Education.

This study recommends marketing strategies through strengthening Islamic branding based on experiential marketing to increase the number of students at Muhammadiyah-Aisyiyah Higher Education.

The novelty of this research is the addition of experiential marketing and Islamic branding variable measurements on word of mouth and college decisions, especially prospective students to study at Islamic Higher Education in Indonesia.

This paper aims to apply several data mining techniques for predicting the daily precision improvement of Jakarta Islamic Index (JKII) prices based on big data of symmetric volatility in Indonesia’s Islamic stock market.

This research uses big data mining techniques to predict daily precision improvement of JKII prices by applying the AdaBoost, K-nearest neighbor, random forest and artificial neural networks. This research uses big data with symmetric volatility as inputs in the predicting model, whereas the closing prices of JKII were used as the target outputs of daily precision improvement. For choosing the optimal prediction performance according to the criteria of the lowest prediction errors, this research uses four metrics of mean absolute error, mean squared error, root mean squared error and R-squared.

The experimental results determine that the optimal technique for predicting the daily precision improvement of the JKII prices in Indonesia’s Islamic stock market is the AdaBoost technique, which generates the optimal predicting performance with the lowest prediction errors, and provides the optimum knowledge from the big data of symmetric volatility in Indonesia’s Islamic stock market. In addition, the random forest technique is also considered another robust technique in predicting the daily precision improvement of the JKII prices as it delivers closer values to the optimal performance of the AdaBoost technique.

This research is filling the literature gap of the absence of using big data mining techniques in the prediction process of Islamic stock markets by delivering new operational techniques for predicting the daily stock precision improvement. Also, it helps investors to manage the optimal portfolios and to decrease the risk of trading in global Islamic stock markets based on using big data mining of symmetric volatility.

This research is a pioneer in using big data mining of symmetric volatility in the prediction of an Islamic stock market index.

This paper aims to investigate customer attitude towards the use of emerging social media platforms (SMPs) for promotional activities by United Arab Emirates (UAE)-based Islamic banks, particularly, in the post-COVID-19 era. The key drivers of this research include analysing, anticipating and providing recommendations to reinvigorate the marketing and promotional strategies of the UAE Islamic banks to spark renewed customer interest.

This study is anticipatory and descriptive in nature. Primary data is used to understand customer perception towards the use of emerging social media marketing tools by the UAE-based Islamic banks. Reliability, factor analysis and multiple regression analysis are applied to understand customer attitude. While focusing on the current COVID-19 scenario, the need for innovative structure is envisaged to meet the post-COVID-19 needs.

The findings of this research highlight the significance of emerging SMPs such as WhatsApp, TikTok, Pinterest, Viber, Snapchat and their application as promotional tools to inspire the purchase intention of customers in this virtual age. The results of the study reveal these emerging SMPs are predicted to be used as the preferred promotional tools for Islamic banks.

This paper is limited to the UAE Islamic banks and to a specified set of SMPs as promotional tools. Nevertheless, its findings have important implications that can be extended and validated through studying the post-COVID-19 customer attitude towards other innovative promotional tools used by commercial banks in general and Islamic banks in particular, in the GCC and Middle East and North Africa (MENA) regions.

There is currently limited available research on the innovative social media marketing techniques and promotional strategies. This study is a novel attempt to examine the adoption of the emerging SMPs as promotional tools by the UAE Islamic banks. This paper extends value to the existing studies on the impact of the pandemic on the promotional activities of the UAE Islamic banking industry. Nonetheless, while regionally specific, it is valuable in its potential application to the Islamic banking sector in the entire GCC and MENA region in the post-COVID-19 era.

This study aims to examine the effect of several factors on Muslims' intentions to invest in the Hajj fund Sukuk, Jordan. The study's hypothesis and model were derived from previous studies.

The present study was undertaken based on a self-administered questionnaire of 356 Jordanians who are Muslims and non-investors in Hajj Fund Sukuk. The sample was selected using a purposive sampling method. The data were analyzed using Smart-PLS version 4.

The results indicated that social influence, knowledge, religion and return on investment significantly affect the purchase intention of Jordanian Muslims to invest in Hajj Fund Sukuk.

There are some limitations to this study. First, the study was done in Jordan; thus, additional research might be conducted in other parts of the Islamic world to learn more about the perception of investing in Islamic Sukuk, particularly Hajj Sukuk. Second, while the present study used a quantitative research technique to achieve its purpose, it would be advantageous if the researchers used more qualitative techniques, such as interviews or focus groups, in the future to explore additional factors that may impact Muslims' intent to invest in Hajj Fund Sukuk.

The findings of the current study could help practitioners in the Islamic sukuk industry by identifying the key factors that encourage Muslims to invest in Hajj sukuk. They may use the results of this study in the formulation of marketing policies and the development of marketing strategies to persuade more investors to invest their money in these sukuk.

To the best of the author’s knowledge, this is the first study carried out to better understand the main factors that may influence Muslims to invest in Hajj Sukuk in the Jordanian context. Hence, this study contributes to increasing the body of knowledge in the area of Islamic marketing in general and in the field of Islamic sukuk investment specifically.

In this study, the authors analyze the impact of geopolitics risk on Sukuk, Islamic and composite stocks, oil and gold markets and portfolio diversification implications during the COVID-19 pandemic and Russia–Ukraine conflict period.

The study used a mix of wavelet-based approaches, including continuous wavelet transformation and discrete wavelet transformation. The analysis used data from the Geopolitical Risk index (GP{R), Dow Jones Sukuk index (SUKUK), Dow Jones Islamic index (DJII), Dow Jones composite index (DJCI), one of the top crude oil benchmarks which is based on the Europe (BRENT) (oil fields in the North Sea between the Shetland Island and Norway), and Global Gold Price Index (gold) from May 31, 2012, to June 13, 2022.

The results of the study indicate that during the COVID-19 and Russia–Ukraine conflict period geopolitical risk (GPR) was in the leading position, where BRENT confirmed the lagging relationship. On the other hand, during the COVID-19 pandemic period, SUKUK, DJII and DJCI are in the leading position, where GPR confirms the lagging position.

The present study is unique in three respects. First, the authors revisit the influence of GPR on global asset markets such as Islamic stocks, Islamic bonds, conventional stocks, oil and gold. Second, the authors use the wavelet power spectrum and coherence analysis to determine the level of reliance based on time and frequency features. Third, the authors conduct an empirical study that includes recent endogenous shocks generated by health crises such as the COVID-19 epidemic, as well as shocks caused by the geopolitical danger of a war between Russia and Ukraine.

1. We analyze the impact of geopolitics risk on Sukuk, Islamic and composite stocks, oil and gold markets and portfolio diversification implications during the COVID-19 pandemic and Russia–Ukraine conflict period.

2. The results of the wavelet-based approach show that Dow Jones composite and Islamic indexes have observed the highest mean return during the study period.

3. GPR and BRENT are estimated to have the highest amount of risk throughout the observation period.

4. Dow Jones Sukuk, Islamic and composite stock show similar trend of volatility during the COVID-19 pandemic period and comparatively gold observes lower variance during the COVID-19 pandemic and Russia–Ukraine conflict.

We analyze the impact of geopolitics risk on Sukuk, Islamic and composite stocks, oil and gold markets and portfolio diversification implications during the COVID-19 pandemic and Russia–Ukraine conflict period.

The results of the wavelet-based approach show that Dow Jones composite and Islamic indexes have observed the highest mean return during the study period.

GPR and BRENT are estimated to have the highest amount of risk throughout the observation period.

Dow Jones Sukuk, Islamic and composite stock show similar trend of volatility during the COVID-19 pandemic period and comparatively gold observes lower variance during the COVID-19 pandemic and Russia–Ukraine conflict.

This study aims to identify the ability of gold and cryptocurrency (Cryptocurrency Uncertainty Index (UCRY) Price) as safe haven assets (SHA) for stocks and bonds in both conventional (i.e. stock indices and government bonds) and Islamic markets (i.e. Islamic stock indices and Islamic bonds (IB)).

The authors employed the nonadditive panel quantile regression model by Powell (2016). It measured the safe haven characteristics of gold and UCRY Price for stock indices, government bonds, Islamic stocks, and IB under gold circumstances and level of cryptocurrency uncertainty, respectively. The period spanned from 11 March 2020 to 31 December 2021.

This study discovered three findings, including: (1) gold is a strong safe haven for stocks and bonds in conventional and Islamic markets under bearish conditions; (2) UCRY Price is a strong safe haven for conventional stocks and bonds but only a weak safe haven for Islamic stocks under high crypto uncertainty; and (3) gold offers a safe haven in both emerging and developed countries, while UCRY Price provides a better safe haven in developed than in emerging countries.

Gold always wins big for safe haven properties during unstable economy. It can also win over investors who consider shariah compliant products. Therefore, it should be included in an investor's portfolio. Meanwhile, cryptocurrencies are more common for developed countries. Thus, the governments and regulators of emerging countries need to provide more guidance around cryptocurrency so that the societies have better literacy. On top of that, the investors can consider crypto to mitigate risks but with limited safe haven functions.

The originality aspects of this study include: (1) four chosen assets from conventional and Islamic markets altogether (i.e. stock indices, government bonds, Islamic stock indices and IB); (2) indicator countries selected based on the most used and owned cryptocurrencies for the SHA study; and (3) the utilization of UCRY Price as a crypto indicator and a further examination of the SHA study toward four financial assets.

This paper aims to achieve two goals: first, to evaluate the existing interest-free monetary policy tools in the major Islamic financial hubs of Malaysia, Pakistan and Bahrain and; second, to suggest how monetary policy tools in Turkey can be used in other countries.

This study follows a qualitative research method based on literature review, comparison, evaluation and design.

The policy rate cannot be used due to Shariah concerns. The reserve requirement depends on qard, and the reserves should be kept separately in the central bank. In terms of ijarah sukuk, Shariah concerns should be taken into account and a new structure, as displayed in Figure 3, should be followed. Government investment certificates can be used as an interest-free monetary policy tool. A genuine mudarabah interbank investments can also be used. Wadiah acceptance with no habitual gift can be used as well, and Tawarruq and central bank notes are not preferable due to Shariah concerns as well. Having said that, a Turkey-based tawarruq platform can be structured for others to use instead of applying to London.

This paper’s unique suggestion is to develop an interbank taqaruz market and a taqaruz method with the central bank. It is also unique for Turkey in the subject.

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 investigates the role of market concentration and efficiency in banking system stability during the COVID-19 pandemic. We empirically test the hypothesis that market concentration and efficiency are significant determinants of bank performance and stability during the time of crises, using a sample of 575 banks in 20 countries in the Middle East and North Africa (MENA).

The main sources of bank data are the BankScope and BankFocus (Bureau van Dijk) databases, World Bank development indicators, and official websites of banks in MENA countries. This study combined descriptive and analytical approaches. We utilize a panel dataset and adopt panel data econometric techniques such as fixed/random effects and the Generalized Method of Moments (GMM) estimator.

The results reveal that market concentration negatively affects bank profitability, whereas improved efficiency further enhances bank performance and contributes to the banking sector’s overall stability. Furthermore, our analysis indicates that during the COVID-19 pandemic, bank stability strongly depended on the level of market concentration, but not on bank efficiency. However, more efficient banks are more profitable and stable if the banking institutions are Islamic. Similarly, Islamic banks with the same level of efficiency demonstrated better overall financial performance during the pandemic than their conventional peers did.

The main limitation is related to the period of COVID-19 pandemic that was covered in this paper (2020–2021). Therefore, further investigation of the COVID-19 effects on bank profitability and risk will require an extended period of the pandemic crisis, including 2022.

This study provides information that will enable bank managers and policymakers in MENA countries to assess the growing impact of market concentration and efficiency on the banking sector stability. It also helps them in formulating suitable strategies to mitigate the adverse consequences of the COVID-19 pandemic. Our recommendations are useful guides for policymakers and regulators in countries where Islamic and conventional banking systems co-exist and compete, based on different business models and risk management practices.

The authors contribute to the banking stability literature by investigating the role of market concentration and efficiency as the main determinants of bank performance and stability during the COVID-19 pandemic. This study is the first to analyze banking sector stability in the MENA region, using both individual and risk-adjusted aggregated performance measures.

The purpose of this study is to conduct a systematic content review and bibliometric analysis of the current research trends, core concepts and knowledge mapping on the topic Islamic Banking and Finance (IBF) during Covid-19. Apart from highlighting the contributions of prolific authors, prominent institutions and countries, a comprehensive review of a significant number of documents using co-citation and co-word analysis is carried out for the science mapping.

A data set of 125 papers was collected published in Scopus database during the period December, 2019 and January 5th, 2023. Yearly publications, most-cited papers and authors, active sources, affiliations and countries are highlighted with descriptive analysis. Knowledge structure of the topic was mapped with investigating the social, intellectual and conceptual structures of IBF research. Content analysis is carried out to uncover the underlying research clusters that shape the scientific knowledge structure of studies.

A diverse group of authors and institutions contribute to the growing body of knowledge on the topic. IBF is adopting new paradigms and frameworks to integrate FinTech, crowd funding and Islamic social finance to provide sustainable solutions in both crisis and normal periods. The research on IBF is classified in to three themes: “financial markets in Covid-19,” “modeling risk and market regimes” and “FinTech and Islamic social finance.”

This study collects data only from Scopus database. Future studies must include research articles from other databases such as, Web of Sciences.

This study highlights research gaps in the existing literature and provides directions for future research.