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Urban built-up has been increasing exponentially in the world. Urban population growth and migration are depleting the land resources and creating thermal discomfort. Cities all around the world are facing urban heat island effects and increased temperatures. This study aims to map land cover and formulate local climate zones for enhancing urban resilience against disaster and climate risks.

This study uses exploratory research to identify local climate zones for Lahore, Pakistan. Landsat 8 imagery was used to develop a land use land cover map. For mapping local climate zones, the standard World Urban and Access Portal Tool procedure was used.

Results have revealed that Lahore has grown exponentially. Compact low rise and open low rise were the two most common local climate zones prevalent in the city. In contrast, the outer regions of the city consisted of LCZ D (low plants) and LCZ F (bare soil).

This study highlights the need to consider local climate zones in future development plans and policies for ensuring sustainable, resilient and climate-friendly cities.

Local climate zone studies are missing in Pakistan. This study has empirically analyzed the ground situation of local climate zones for Lahore metropolitan city. This study will provide baseline support for future studies on urban heat island and climate change adaptation planning.

The current work sought to investigate the mediating effect of supply chain ambidexterity on the relationship between Industry 4.0 capabilities and operational performance of manufacturing firms in Jordan.

Data collection was carried out through a survey with 253 respondents from manufacturing firms in Jordan through the first quarter in 2023. The quantitative approach and structural equation modeling (SEM) were applied to analyze the collected data. Dynamic capabilities view (DCV) theory was the adopted theoretical lens for this work.

The results demonstrated that Industry 4.0 capabilities positively and significantly affect exploration, exploitation and operational performance. In addition, the results confirmed that exploration and exploitation positively and significantly affect operational performance. Further, it is also found that exploration and exploitation in the supply chain positively and significantly mediate the relationship between Industry 4.0 capabilities and operational performance.

This study focuses on this gap to deepen the understanding of operational performance in a recent manufacturing environment under various factors and perspectives (Industry 4.0 capabilities and supply chain ambidexterity).

This study aims to present a detailed investigation of Shariah audit research based on a systematic literature review.

A total of 53 studies were collected from the Scopus and Web of Science databases following a systematic methodology. These studies were analyzed and evaluated based on the theoretical perspective, geographical distribution, research settings and themes background.

The findings indicate an increase in the literature on Shariah auditing over time, especially in the Malaysian context, with a dearth of research in other contexts and institutions (Takaful). It has been also revealed that the existing literature is still unclear about the effectiveness and consequences of effective Shariah auditing, pointing the need for more work on these areas. The authors outline opportunities for future Shariah auditing research.

The synthesized findings are helpful for policymakers and managers to understand better how research in Shariah auditing is developing and how to translate research findings into practice. To the best of the authors’ knowledge, this is the first research to comprehensively synthesize the literature on this topic and identify the potential opportunities for future research directions.

This paper aims to delve into the factors influencing the adoption of Islamic Fintech and investigates the potential impact of Religious Orientation.

The study uses a questionnaire to collect data from 291 Jordanians, using Structural Equation Model – Partial Least Squares (SEM-PLS) to evaluate the research model and test hypotheses.

The outcomes of the Smart PLS path analysis revealed that several factors significantly influence the adoption of Islamic Fintech. Notably, perceived risk, financial literacy, trust and convenience were identified as pivotal determinants in shaping individuals' decisions to adopt Islamic Fintech. Additionally, the study unveils the noteworthy role of religious orientation as a moderator, impacting the relationship between perceived risk, financial literacy, trust and convenience concerning the adoption of Islamic Fintech.

This study contributes fresh insights to the existing literature concerning the adoption of Islamic Fintech, enhancing the understanding of the key drivers in this domain. Furthermore, it emphasizes the practical implications of religious orientation in shaping individuals' attitudes and behaviors pertaining to Islamic Fintech adoption.

This paper aims to examine how the diversity of educational levels within bank boards influences the efficiency and stability of banks operating in the Middle East and North Africa (MENA) region. Unlike previous studies, this analysis also investigates the role of board gender diversity in moderating the relationship between board educational level diversity and bank efficiency and financial stability in MENA.

In this study, a sample of 77 banks in the MENA region spanning the years 2011 to 2018 is used. The relationship between the presence of highly educated directors on the board, bank efficiency and stability is assessed using the ordinary least squares method. Additionally, the authors use the Generalized Method of Moments technique to correct endogeneity problem.

This study establishes a positive association between the presence of directors with advanced educational backgrounds on bank boards and bank efficiency and stability. Furthermore, the inclusion of women on the board strengthens this relationship.

These findings have important implications for policymakers and regulators in the MENA region, suggesting that promoting diversity policies that encourage the participation of highly educated directors on bank boards can contribute to enhanced efficiency and financial stability. Policymakers may also consider implementing quotas or guidelines to improve gender diversity in board appointments, thereby fostering bank performance in the region.

This study stands out for its innovation and distinctiveness, as it delves into the connection between board educational level diversity and bank efficiency in the MENA region. Notably, it surpasses previous research by investigating the moderating role of board gender diversity, thus offering valuable insights into the complex interplay between these two facets of board diversity. This contribution enriches the existing literature by providing novel perspectives on board composition dynamics and its influence on bank efficiency and stability.

The purpose of this study is to identify the impact of intellectual capital on the innovation performance of the Jordanian banking sector and identify the moderating role of big data analytics.

For this study's purposes, 333 questionnaires were analysed. Convergent validity, discriminant validity and reliability tests were performed through structural equation modelling (SEM) in the Smart-PLS program. A bootstrapping technique was used to analyse the data.

Empirical results showed that each of the components of intellectual capital and big data analytics explains 63.5% of the variance in innovation performance and that all components of intellectual capital have a statistically significant impact on innovation performance. The results also revealed that the relationship between structural capital and innovation performance is moderated through big data analytics.

This cross-sectional study provides a snapshot at a given moment in time, a methodological limitation that affects the generalisation of its results, and the results are limited to one country.

This study promotes the idea of focusing on components of intellectual capital to enhance innovation performance in the Jordanian banking sector and knowing the effect of big data analytics in this relationship.

This study makes recommendations for financial policymakers to improve the effectiveness of intellectual capital practices and innovation performance in the context of big data analytics.

This study has important implications for leaders in the Jordanian banking sector, in general, as the study highlights the importance of intellectual capital to enhance the innovation performance, especially in light of the big data analytics in this sector, and thus increase the innovative capabilities of this banks, which leads to an increase in the level of innovation.

The efficient application of building information modeling (BIM) methodology in the sustainable building design process, known as green BIM, provides ideal leverage to significantly enhance multidiscipline team collaboration. However, the practical execution of green BIM is characterized by issues such as duplication of work, information silos and poor cross-party coordination. Besides, there are limited studies on the specific components that are critical to driving green BIM collaborative design. This study aims to establish the critical components of green BIM collaborative design to enable the multidiscipline team to effectively use diverse software to collaboratively exchange accurate information, thus ensuring informed decision-making in the sustainable building design process.

Data were obtained by using a questionnaire to survey 360 respondents comprising mainly architects and engineers (civil, mechanical and electrical) in Malaysia. Subsequently, data were analyzed via confirmatory factor analysis. Afterward, a measurement model was established and used to test the 11 hypotheses of this study.

A covariance-based structural equation model of the critical components for successful BIM-based sustainable building design collaboration was established.

The research findings will guide the multidisciplinary team to collaboratively exchange accurate information in green BIM practices.

To the best of the authors’ knowledge, this research is the first attempt in the literature to provide a pragmatic approach for practitioners to combine the established critical components of green BIM to collaboratively exchange heterogeneous sustainability criteria and efficiently design buildings with high sustainability performance, particularly in emerging countries like Malaysia.

The purpose of this paper is to study the validity of the concept of learning organization through the use of the Dimensions of Learning Organization Questionnaire (DLOQ) in an Indian public sector organization. Literature on learning organizations was reviewed to ascertain the sample organization’s progress toward becoming a learning organization. The current research also tries to explore the relationship (if any) between learning organization dimensions and organizational performance.

The study employed a survey method for collecting data from 204 respondents from the sample organization. The data were statistically analyzed and interpretations were made.

The study reveals that the sample organization scores high on the various learning organization dimensions (seven dimensions of DLOQ), which in turn impact knowledge performance and financial performance. Learning organization practices and processes are prevalent in the sample organization and it is progressing well toward its vision of becoming a learning organization (mentioned in its HR vision).

The data for the study were collected from a single sample organization. Hence, any sweeping generalization of the results needs to be made with caution.

This research demonstrates the impact of the four levels of specific learning organization dimensions on its knowledge and financial performance in the context of an emerging country like India.