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This paper aims to analyze the scientific trend of research on Islamic banking sustainability (IBS) through a bibliometric study. In particular, the paper extensively investigates all the articles issued through the Scopus database regarding the IBS.

The authors discovered 76 papers that met the function, subject and set requirements by using the phrase IBS. The authors used VOSviewer as an analytical tool and the Scopus website.

IBS publications were found in the period 2005–2022, and the publication trend of IBS research demonstrates that it is growing exponentially after 2018. Malaysia is the leading country in terms of productive authors, universities, number of documents, citations and collaboration research on IBS. The current research trends are summarized into five cluster maps for future research directions: sustainability measurement, sustainability practices, risk and governance, corporate social responsibility (CSR) and IBS theory. The Maqashid al Shariah approach conceptually influences the framework for constructing the dimensions and indicators used to measure the IBS.

The authors retrieved data for their research from the Scopus database; using other databases might result in totally different research patterns with this IBS bibliometric research.

The research encompasses valuable implications for Islamic banking as it offers valuable insights on how to assess the performance of IBS. Particularly, it contributes to identifying the dimensions and indicators needed to measure IBS performance. Furthermore, this research provides strategic initiatives to promote sustainable practices in Islamic banking in terms of green financing taxonomy, services, operations, risk management and governance.

This research is valuable for other scholars as it offers a foundation for the future growth of IBS research, focusing on important sustainability clusters obtained from selected reputable journals. This research is beneficial for regulators in enhancing the roadmap for establishing and enhancing long-term IBS with impacts on socio-economic, environmental and governance.

The study presents a concise review of the bibliometric study in IBS and provides recommendations for future research directions in cluster mapping of themes and subthemes. There is still insufficient research that examines the IBS, in particular, complete insights into the IBS literature review.

Blockchain, a groundbreaking technology that recently surfaced, is under thorough scrutiny due to its prospective utility across different sectors. This research aims to delve into and assess the cognitive elements that impact the integration of blockchain technology (BT) within library environments.

Utilizing the Stimulus–Organism–Response (SOR) theory, this research aims to facilitate the implementation of BT within academic institution libraries and provide valuable insights for managerial decision-making. A two-staged deep learning structural equation modelling artificial neural network (ANN) analysis was conducted on 583 computer experts affiliated with academic institutions across various countries to gather relevant information.

The research model can correspondingly expound 71% and 60% of the variance in trust and adoption intention of BT in libraries, where ANN results indicate that perceived possession is the primary predictor, with a technical capability factor that has a normalized significance of 84%. The study successfully identified the relationship of each variable of our conceptual model.

Unlike the SOR theory framework that uses a linear model and theoretically assumes that all relationships are significant, to the best of the authors’ knowledge, it is the first study to validate ANN and SEM in a library context successfully. The results of the two-step PLS–SEM and ANN technique demonstrate that the usage of ANN validates the PLS–SEM analysis. ANN can represent complicated linear and nonlinear connections with higher prediction accuracy than SEM approaches. Also, an importance-performance Map analysis of the PLS–SEM data offers a more detailed insight into each factor's significance and performance.

By any count or criterion, Pakistan is a national security state. It always was. The country has fought four wars with India, and it continues to suffer the devastating consequences of confrontation with its formidable neighbor – India; it has been put under siege for more than 40 years by the terrorist and religious extremist groups; it has suffered long spells of military rule; its political structure remains fragile; its civil society organizations are vulnerable, weak, and toothless; and its media, universities, research institutes, and judiciary are under huge stress. Given the state of affairs, the realization is rather slow to grow that human development strengthens national power and national security much more than weapons. It is in this context that a study on food insecurity in Pakistan has been undertaken. It aims to explain as to how a predominantly agricultural country has been reduced into a food resource poor country, and how has the neglect of social, economic, and cultural sectors made Pakistan more insecure. This study covers a number of related issues as well, but it mainly looks for answer to two questions: first, should food insecurity be studied in isolation as a separate issue or as a part of the larger issue of governance, security, and people; and second, isn't there a need to drastically restructure the economic, political, and security landscape and framework to significantly diminish poverty, illiteracy, and food insecurity in the country?

The primary aim of this study is to explore challenges and prospects of Islamic banking system in non-Muslim states to foster regulatory frameworks of the system.

Content analysis as an integral part of qualitative research was used. Secondary data through the exploration of cursory literature was taken into consideration.

The findings identified three prime challenges, namely, regulatory, operational and institutional, which are impeding the smooth activities and performances of Islamic banks in using innovative Islamic products and services that can favourably compete with products and services of conventional banking system in non-Muslim states. In addition, strengthening the adoption and performance of Islamic banking in non-Muslim states can efficiently and effectively address the identified and multifarious regulatory, operational and institutional challenges to achieve financial inclusion and overall economic growth.

Challenges encountered and prodigies or potentials of operating Islamic banking system by most of non-Muslim countries remains a pivotal aspect that needs research attention in the recent.

Nonetheless, the limitation of this study is that the study relies on the use of secondary data. However, it has provided a substantial direction for future studies in empirically exploring the variables of this study.

Indeed, 19th century was a remarkable turning point in the development and expansion of Islamic banking system in the Muslim world. Many predominant Muslim countries such as Malaysia, Indonesia, Saudi Arabia, Bangladesh, Pakistan, among others have been efficiently and effectively operating Islamic banking system within the framework of Islamic legal provisions. Many non-Muslim countries such as Australia, the UK, USA, etc., have also adopted Islamic banking system.

It is noted that policy directions of the study among others should address the regulatory frameworks that is Shari’ah-compliant in the operation of Islamic banking system in non-Muslim states. It is therefore suggested that the policymakers, Islamic financial experts and regulators should use the innovation that could bring competitiveness into the operation of Islamic banking system in non-Muslim states.

In this article, the authors try to determine why and under what conditions consumers intend to buy green and what the consequences are. Relying on theories of reasoned action and theory of planned behaviour (TPB), the authors offer that the green purchase intention (GPI) is impressed by environmental and personality components. Provide statements about the determinants and key implications of such market identification.

This study aims to examine the ability of big data analytics (BDA) to investigate financial reporting quality (FRQ), identify the knowledge base and conceptual structure of this research field and explore BDA techniques used over time.

This study uses a comprehensive bibliometric analysis approach (performance analysis and science mapping) using software packages, including Biblioshiny and VOSviewer. Multiple analyses are conducted, including authors, sources, keywords, co-citations, thematic evolution and trend topic analysis.

This study reveals that the intellectual structure of using BDA in investigating FRQ encompasses three clusters. These clusters include applying data mining to detect financial reporting fraud (FRF), using machine learning (ML) to examine FRQ and detecting earnings management as a measure of FRQ. Additionally, the results demonstrate that ML and DM algorithms are the most effective techniques for investigating FRQ by providing various prediction and detection models of FRF and EM. Moreover, BDA offers text mining techniques to detect managerial fraud in narrative reports. The findings indicate that artificial intelligence, deep learning and ML are currently trending methods and are expected to continue in the coming years.

To the best of the authors’ knowledge, this study is the first to provide a comprehensive analysis of the current state of the use of BDA in investigating FRQ.

The adoption of energy-efficient systems is crucial for Pakistan to meet its growing energy demand and address its energy challenges. However, adoption of these systems in Pakistan is hindered by several barriers, including economic constraints, lack of awareness and social attitudes toward sustainable development. Therefore, the purpose of this study is to explore adoption of energy-efficient household systems and the associated social influence.

The study incorporates social influence as a mediating factor to examine the relationships between awareness of consequences, perceived consumer effectiveness and attitudes toward the adoption of energy-efficient systems. A quantitative survey method was used to collect data from households from Faisalabad, Pakistan. A total of 203 valid questionnaires were received and data analyzed through SmartPLS 4 for structural equation modeling.

The results revealed that awareness of consequences positively impacts compliance, social identification and internalization, while perceived consumer effectiveness has a positive relationship with social identification and internalization. Moreover, the positive association of social identification and internalization with attitude were supported but relationship of compliance with attitude was unsupported.

The results may also be used to develop compelling marketing campaigns focusing environmental conservation and social influence for positive attitude development.

The study contributes to theoretical literature by examining the empirical relationships between specific individual characteristics and societal pressure that play a critical role in shaping attitudes toward the acceptance of energy-efficient systems. Additionally, the study's findings offer actionable implications for policymakers and marketers, contributing to the development of targeted interventions for promoting sustainable consumption.

This study aims to explore entropy evaluation in the bi-directional flow of Casson hybrid nanofluids within a stagnated domain, a topic of significant importance for optimizing thermal systems. The aim is to investigate the behavior of unsteady, magnetized and laminar flow using a parametric model based on the thermo-physical properties of alumina and copper nanoparticles.

The research uses boundary layer approximations and the Keller-box method to solve the derived ordinary differential equations, ensuring numerical accuracy through convergence and stability analysis. A comparison benchmark has been used to authenticate the accuracy of the numerical outcomes.

Results indicate that increasing the Casson fluid parameter (ranging from 0.1 to 1.0) reduces velocity, the Bejan number decreases with higher bidirectional flow parameter (ranging from 0.1 to 0.9) and the Nusselt number increases with higher nanoparticle concentrations (ranging from 1% to 4%).

This study has limitations, including the assumption of laminar flow and the neglect of possible turbulent effects, which could be significant in practical applications.

The findings offer insights for optimizing thermal management systems, particularly in industries where precise control of heat transfer is crucial. The Keller-box simulation method proves to be effective in accurately predicting the behavior of such complex systems, and the entropy evaluation aids in assessing thermodynamic irreversibilities, which can enhance the efficiency of engineering designs.

These findings provide valuable insights into the thermal management of hybrid nanofluid systems, marking a novel contribution to the field.

In today’s business landscape, drawing upon the critical role of environmental sustainability, this study investigates the intricate relationship between green human resource management practices (GHRMP), big data analytics capability (BDAC), green competitive advantage (GCA) and environmental performance (EP), further moderated by managerial environmental concern (MEC).

This study employs a quantitative approach using the latest version of SmartPLS 4 version 4.0.9.6 on a data sample of 467 participants representing a diverse range of manufacturing SMEs. Data were collected from managers and directors using a structured questionnaire and analyzed using structural equation modeling (SEM). This study contributes to the existing knowledge by integrating GHRMP and BDAC within the GCA framework, providing a comprehensive understanding of how these practices enhance SME`s sustainability.

The findings provide valuable insights into the manufacturing sector, aiming to enhance SMEs' green competitive advantage. Implementing GHRMP fosters environmental awareness within the workforce, and building BDAC allows for effectively translating that GHRMP into actionable insights, maximizing the potential for achieving GCA. Furthermore, recognizing MEC’s moderating role strengthens positive environmental outcomes associated with GCA. The findings confirm that GHRMP and BDAC are valuable resources and key drivers contributing to competitive advantage in sustainability of enterprises.

For SMEs, our findings suggest that strategically integrating GHRMP with BDAC not only boosts environmental stewardship but also improves operational efficiency and market positioning. This research outlines actionable steps for SMEs aiming to achieve sustainability targets while enhancing profitability. This research provides actionable insights for SMEs in strategic decision-making and policy formulation, aiding SMEs in navigating the complexities of sustainable development effectively.

This study contributes to the existing knowledge by integrating GHRMP and BDAC within the GCA framework, providing a robust theoretical explanation of how HRM practices and BDAC help SMEs gain green competitiveness. The implication of this study reveals that SMEs implementing and integrating green HRM practices with advanced data analytics are more likely to gain competitive advantage. This study draws theoretical support from the resource-based view (RBV) theory, positing that a firm’s sustainable competitive advantage stems from its unique and valuable resources and capabilities that are difficult for competitors to imitate or substitute.