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This study aims to identify the intention to purchase Halal food products amongst non-Muslim consumers in Malaysia, moderated by the acculturation effect.

A structured close-ended questionnaire was used to gather data through the random distribution of 397 non-Muslim consumers from the Alumni network of several private higher education institutions in Malaysia.

The collected data was analyzed through the structural equation modelling technique using partial least squares with SmartPLS 3.0. The result indicated that attitude, subjective norms and perceived behavioral control were positively influenced by the purchase decision of Halal food products amongst non-Muslim consumers in Malaysia. Apart from that, the acculturation effect moderates the relationship between attitude and intention to purchase.

This finding will contribute to academics, Halal food makers and government in understanding the Halal food purchase intention amongst non-Muslim consumers in Malaysia.

The outcome of this study can be used as an input for Halal entrepreneurship in terms of marketing and operation strategy. On the government aspect, this study also provides an implication on national public policy and strategic economic planning in developing overall national Halal policy.

The social harmonization amongst the multiple races in Malaysia is partially contributed through the acculturation effect. The acculturation effect has been reflected through the food choice decision amongst Malaysian, despite of different religious belief and home culture background.

Research in studying Halal food purchase intention amongst non-Muslim consumers are scarce. This research is able to reinforce the theory of planned behavior model in dealing with Halal food choice decisions, taking into consideration of acculturation effect.

The purpose of this study is to investigate the nonlinear association between financial inclusion and inclusive economic growth (IEG) in developed economies. A Block of G7 countries (Germany, Japan, Canada, France, Italy, the UK and the US) are considered in this study.

For analysis, the authors have employed the “Panel Smooth Transition Regression model.” Annual data consists of the period from 1995 to 2019.

This research makes a unique contribution to literature with reference to G7 countries, being a pioneering attempt to apply the panel threshold regression model to analyze the relationship between financial inclusion and IEG by applying more rigorous and advanced econometric techniques.

The results indicate that total labor force available in a country, gross fixed capital formation and financial inclusion are positive and significant in lower regimes, but as it moves toward the higher regime, the labor force available in a country becomes less impactful. However, an increase has been observed in financial inclusion in the higher regime. The complete sample generally exhibits a positive yet significant relationship between financial inclusion and inclusive economic development.

The need to improve energy efficiency as an essential factor for achieving the Sustainable Development Goals (SDGs) through green financing is one of the most important issues worldwide. It is even more important for ASEAN (Association of Southeast Asian Nations) countries because of their potential for economic growth and the challenge of their environmental problems. This paper therefore addresses the question of whether and how green finance (with the proxy of issued green bonds [GBs]) promotes energy efficiency (with the proxy of energy intensity) in the ASEAN member countries.

The paper runs a two-stage generalized method of moments (GMM) system model for the quarterly data over the period 2017–2020. It also uses a linear interaction model to explore how the pandemic may affect the relationship between green finance and energy efficiency in this region.

The main results only demonstrate the short-term negative impact of GBs on energy intensity. Furthermore, per capita income, economic integration and renewable energy supply can be used as potential variables to reduce energy intensity, while modernization in ASEAN increases energy intensity. Establishment of digital green finance, long-term planning of a green finance market, trade liberalization and policies to mitigate the negative impacts of COVID-19 are recommended as golden policy implications.

The present study has several limitations. First, it accounts for explanatory variables by following a number of previous studies. This may lead to omissions or errors. Second, the empirical estimates were conducted for 160 observations due to the repositioning of GBs in ASEAN, which is not bad but not good for an empirical study.

To the best of authors' knowledge, there has not been any in-depth study focusing on the relationship between energy efficiency and green financing for the case of ASEAN economies.

The present paper aims to conduct a comprehensive scientific mapping of exchange rate forecasting, highlighting trends, developments, and methodological changes. This will provide research scholars, researchers, and policymakers valuable insights to facilitate predictions.

The researchers performed a bibliometric analysis of exchange rate forecasting using a scientific search method on the Scopus database from 1991 to 2022. They applied a web interface program called Biblioshiny, part of the Bibliometric package built in R by Aria and Cuccurullo (2017). VOSviewer was used to identify the most influential journals, authors, countries, articles, citations, and co-citations from 1,602 documents.

The conceptual and intellectual framework of the papers under review provided an in-depth and comprehensive analysis of the domain. The research outcomes provided essential information on the subject matter, highlighting the need for further investigation. The study’s findings demonstrate the evolution of the theory of forecasting exchange rates reflecting continuous developments in the methodologies applied to forecast the exchange rates.

The scientific mapping of the present study’s bibliometric analysis is limited to the Scopus database because of its comprehensive coverage of high-quality journals and predefined structures compatible with Bibliometrix software.

The study provides considerable insight into forecasting exchange rates and their interlinkages. By outlining the social and intellectual structure of the field, it directs upcoming scholars about the relevant topics, contexts and potential collaborations emerging in this field. The study also reveals the critical concerns in the area and leads to potential research opportunities.

The study sheds light on emerging trends and approaches to forecasting exchange rates and will provide valuable information and insights to policymakers, economists, investors and decision-makers in the financial sector. It will contribute to prioritising research in overlooked areas and support the formulation of effective policies.

This study contributes significantly by bringing together disparate literature on exchange rate forecasting, highlighting important journals, authors and documents, and examining the recent studies on the foreign exchange rate.

This review aims to present the state of the art regarding the impact of financial technology (FinTech) on financial inclusion and its implications for consumers and institutions in terms of accessibility, usage and quality. An integrated framework is developed to illustrate the primary thematic areas for future research.

We performed a systematic literature review (SLR) to summarize and synthesize existing research published in peer-reviewed academic journals. Forty-two eligible studies were identified from the Web of Science database and a cross-reference search.

The results suggest that FinTech promotes financial inclusion for consumers and businesses by increasing the accessibility, usage and quality of financial products. We present a multidisciplinary integrative framework that links the three dimensions of financial inclusion (i.e. access, usage and quality) to financial technology. Finally, we propose several avenues for future research.

To the best of the author’s knowledge, this is the first SLR on how FinTech is associated with the accessibility, usage and quality of financial products. We provide an integrative framework for understanding the topic with implications in different fields.

While the relationship between natural resource rent and economic growth is well documented in the literature, not much robust analysis has been done to estimate the causative relationship between oil resource rent and economic growth in Ghana. This might be due to the fact that commercial production of crude oil started not long ago in Ghana. This paper aims to examine the causal relationship between oil resource rent and economic growth for the period of 2011 to 2020 in Ghana.

The study incorporates economic growth as a function of oil resource rent, non-oil revenue, foreign direct investment, capital and interest rate in a Cobb–Douglass production function/model. The study used four different estimation strategies including the autoregressive distributed lags model, Toda–Yamamoto test approach, nonlinear autoregressive distributed lags model and nonlinear Granger causality.

The main finding revealed that 1% increase in oil resource rent generates 0.84% increase in economic growth of Ghana in the long run. Contrary, the authors find an insignificant positive effect of oil resource rent on economic growth of Ghana in the short run for the period under study. The result from the Toda–Yamamoto test approach also showed a unidirectional causality running from oil resource rent to economic growth of Ghana, providing evidence in support of the resource blessing hypothesis in Ghana. The results are robust to two different alternative estimation strategies.

The causal relationship between crude oil resource rent and economic growth is examined.

This study aims to explore the gap between research and practice on supply chain risks due to COVID-19 by exploring the changes in global emphasis on supply chain risk research.

This work designed a research framework to compare the research of supply chain risks before and during the COVID-19 pandemic based on machining learning and text clustering and using the relevant publications of the web of science database.

The results show that scholars' attention to supply chain crisis has increased in the wake of the COVID-19 outbreak, but there are differences among countries. The United Kingdom, India, Australia, the USA and Italy have greatly increased their emphasis on risk research, while the supply chain risk research growth rate in other countries, including China, has been lower than the global level. Compared with the pre-pandemic period, the research of business finance, telecommunications, agricultural economics policy, business and public environmental occupational health increased significantly during the pandemic. The hotspots of supply chain risk research have changed significantly during the pandemic, focusing on routing problem, organizational performance, food supply chain, dual-channel supply chain, resilient supplier selection, medical service and machine learning.

This study has limitations in using a single database.

This work compared the changes in global and various countries' supply chain risk research before and during the pandemic. On the one hand, it helps to judge the degree of response of scholars to the global supply chain risk brought about by COVID-19. On the other hand, it is beneficial for supply chain practitioners and policymakers to gain an in-depth understanding of the relationship between the COVID-19 pandemic and supply chain risk, which might provide insights into not only addressing the supply chain risk but also the recovery of the supply chain.

The initial exploration of the changing extent of supply chain risk research in the context of COVID-19 provided in this paper is a unique and earlier attempt that extends the findings of the existing literature. Secondly, this research provides a feasible analysis strategy for supply chain risk research, which provides a direction and paradigm for exploring more effective supply chain research to meet the challenges of COVID-19.