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This research aims to examine the impact of religiosity and other control variables on Muslims’ environmental preservation and economic growth choices in 33 nations.

The study uses data from the World Values Survey (Waves 4–7) with a large sample size of 30,242 individuals. Logistic regression analysis is used to analyze the data, and the robustness principle is applied using the marginal effect of interaction variables method to select a viable model.

This study reveals that different aspects of religiosity – cognitive, affective and behavioral – positively impact the tendency of Muslims in 33 countries to prioritize environmental protection over economic progress. However, these influences vary significantly, as seen through odds ratios. In essence, the degree of religious devotion in these nations affects individuals’ leaning toward environmental preservation. This impact is further shaped by other factors such as politics, governance, economic development, environmental measures and legal frameworks.

The practical implication of this study is the development of an alternative theory that explains the conditions and categories under which religious beliefs and attitudes can influence the preferences of Muslims concerning environmental issues and economic growth.

This study fills a void in the body of literature by examining the nonlinear relationship between religiosity and individual Muslim preferences for environmental preservation and economic growth. It offers a framework for comprehending religion’s impact on Muslims’ redistributive individual preferences in these fields.

This study aims to examine the impact of agency cost, Islamic board characteristics and corporate governance on the performance of Islamic institutions.

Based on the selected criteria, 92 Islamic banks (IBs) from 20 countries were selected for further research. The authors used generalized method moments (GMM) estimation method. The agency cost and Shariah board characteristics are the explanatory variables. The author uses the age of the bank and the size of the bank for variable control.

Empirical results indicate that first, agency costs represented by cast/total assets negatively affect IBs’ return on equity and net income. As agency costs rise, IBs’ financial performance declines. Second, Shariah supervisory board (SSB) size and board independence affect IB performance. The study found that SSB size positively affects IB performance.

This research contributes to the literature on IBs in different countries, which policymakers and practitioners can use to improve agency cost functions and Shariah board characteristics. Second, this analysis shows that IBs require specific attention for agency charges, given their operations and business structures. This study contributes to agency theory, which requires Islamic banking information and practices. Finally, the author has aided regulators and IBs by identifying the sources of agency cost practices that can be resolved. The other bank governance contribution is twofold. First, the author studied dual board governance in IBs (SSB and ordinary boards of directors). Second, the author examines how SSB and traditional board governance affect IB performance. This research focuses on banks listed on stock exchanges in the 20 countries analysed.

The research has policy and practical implications for central banks and IBs. By outlining appropriate regulatory guidelines and reporting systems, regulatory authorities can ensure Sharia compliance and protect the independence of IB Shariah department officers. Regulators and relevant stakeholders must ensure Sharia compliance, audits, inspections, reporting and accurate disclosure for IBs.

This paper offers original contributions to professionals in the field of IBs and stakeholders investigating the relationship between agency costs, governance of IBs, characteristics of Islamic supervisory boards and the performance of IBs.

The proliferation of ChatGPT, as in many other digital technologies and social media, has increasingly impacted many aspects of modern life, including second and foreign language education. This study, building on a common theoretical position of all these advances in Artificial intelligence (AI), seeks to establish a model for ChatGPT research on English language learning. It specifically explores the dimensions in which ChatGPT aids students in their English language learning.

The study adopts grounded theory in collecting and analyzing data from 20 ResearchGater (RG) through a two-week RG discussion about ChatGPT uses in their language learning contexts. Data collected via the discussion was analyzed thematically.

Preliminary findings show that ChatGPT can be used in developing learners' language skills; scaffolding the learning process by providing feedback to students on their language use and acting as partners in practicing language with recommended activities for more language practice.

The study contributes a five-dimension model for artificial intelligence assisted language learning (AIALL). The model involves flexible teacher's role to consolidate learner autonomy and provide enjoyable learning, urges future innovation, and celebrates various applications. Examining the AIALL model of ChatGPT for language learning, teachers should provide some directions for properly using this new application.