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Despite the widespread use of social media globally, SMEs exhibit a below-average adoption rate. This raises critical questions about the reasons behind SMEs' limited engagement with this ubiquitous platform. The primary objective of this research is to explore the factors influencing the utilization of social media by small and medium-sized enterprises (SMEs) and assess its influence on brand awareness and customer engagement in the Jordanian context.

This study utilizes a quantitative research approach to examine SMEs' adoption of social media. Data are collected from 290 SMEs in Jordan through paper-based and online surveys employing purposive sampling. The validity of the proposed model is confirmed using a partial least squares (PLS) approach, specifically employing SmartPLS 4 for analysis.

The results reveal that the examined model successfully captures the dynamics of social media usage among SMEs, shedding light on the significant drivers influencing their decision to use social media in their activities. The findings also underscore the pivotal role of social media usage in SMEs, particularly in enhancing brand awareness and fostering customer engagement within the Jordanian business landscape.

This study significantly contributes to the existing literature by highlighting the practical implications of social media activity, specifically in the context of SMEs. Using the UTAUT2 model to examine the drivers of social media use among SMEs and extend it to assess the broader impact of social media usage on brand awareness and customer engagement adds uniqueness to the study, providing a more nuanced view of social media usage in the SME sector.

This study aims to develop an interrelation model between critical parameters for assessing the construction readiness (CR) of abandoned housing projects, using Malaysia as a case study. To achieve that aim, the study objectives are to (1) identify critical parameters for assessing the CR of abandoned housing projects; (2) develop underlying constructs to categorize interrelated critical parameters and (3) assess the influence of the underlying constructs on the CR of abandoned housing projects.

This study identifies potential parameters for assessing the CR of abandoned housing projects by reviewing existing literature and interviewing industry professionals. Then, the list was used to develop a questionnaire survey. The collected survey data were analyzed using normalized mean analysis to identify the critical parameters. Exploratory factor analysis (EFA) was used to develop underlying constructs to categorize interrelated critical parameters. Finally, the influence of the underlying constructs on the CR of abandoned housing projects was examined through partial least squares structural equation modeling (PLS-SEM).

The analyses suggest that 21 critical parameters are affecting the CR of abandoned housing projects. The critical parameters can be categorized into four underlying constructs: construction site evaluation, management verification, uncertainties mitigation and document approval. Finally, the analyses confirmed that all four constructs affect the CR of abandoned housing projects.

This study is a pioneering effort to quantitatively analyze the parameters for assessing the CR of abandoned housing projects. The findings significantly benefit researchers and industry professionals by providing a list of critical parameters associated with the CR of abandoned housing projects.

The purpose of this paper is to investigate the factors that determine the long-term readiness of UAE-listed companies to handle environmental, social and governance (ESG) related opportunities and disruptions.

In this paper, we use S&P Global Ratings' ESG evaluation to assess the long-term preparedness of UAE-listed companies in addressing ESG risks and opportunities. The score for long-term preparedness provides a forward-looking, cross-sector analysis of a company’s capacity to operate successfully in the future, based on how ESG factors may affect stakeholders and lead to material direct or indirect financial impacts. Specifically, the paper investigates the corporate governance and ownership structure factors that significantly impact the ability of UAE-listed companies to effectively prepare for and respond to long-term ESG risks and opportunities. Our final sample consists of 48 listed companies observed over the period from 2019 to 2021. We employ an ordered logit model for our estimations.

Our paper findings provide evidence that (1) firm size has a positive significant effect on ESG rating and governance rating implying that larger firms have a robust governance system and strong ability to implement ESG strategies within the organization. (2) Firm performance measured by ROE looks to be an important determinant of ESG rating, environmental rating and social rating. (3) Firm leverage has a positive and significant effect on ESG rating and environmental rating. (4) Board size has a positive effect on social rating and governance rating. (5) Government ownership has a positive and significant effect on ESG rating, environmental rating and governance rating. (6) Institutional ownership has a positive and significant effect on governance rating.

This paper has several practical implications. First, by adopting a forward-looking upstream approach that identifies the determinants of long-term ESG preparedness, it supports the efforts of UAE regulators to enforce ESG strategies among listed firms. Second, the paper provides an overview of the long-term preparedness for ESG risks and opportunities for firms listed on the Abu Dhabi Securities Exchange (ADX) and Dubai Financial Market (DFM), which can aid various stakeholders in making informed decisions. Third, the findings underscore the need to strengthen corporate governance mechanisms to promote sustainable development.

To the best of the authors' knowledge, this paper is the first to explore the determinants of long-term preparedness for ESG risks and opportunities among UAE-listed companies, utilizing a unique dataset to assess ESG performance. The research contributes to understanding the factors influencing firms' long-term readiness to handle ESG challenges and supports regulators' efforts to implement ESG strategies in the UAE market.

The purpose of this paper is to provide a systematic literature review on Shariah governance and Islamic banks.

The literature was searched from Scopus and Web of Science using various queries related to Shariah governance and Islamic banks. Through a screening process, 93 articles were considered fit for the systematic literature review.

The paper provides a systematic review based on different themes, including measurement of Shariah governance in Islamic banks, disclosure of Shariah governance and its determinants, the impact of Shariah governance on performance, risk management and other outcomes of Islamic banks. Finally, issues and challenges of Shariah governance in Islamic banks are discussed, followed by conclusions and recommendations related to future research.

This study is the first of its kind, to the authors’ knowledge, to provide a comprehensive systematic literature on Shariah governance and Islamic banks by exploring different themes and highlighting multiple future avenues of research.

The development of waqf is growing rapidly. To maintain progress of waqf per se sharia, Muslim scholars try to present Islamic values (IVs) in activities and operations of waqf institutions. To find out implementation of IVs in waqf institutions, previous research was carried out as a guide for future research; this study aims to systematically review the literature.

This study draws on the implementation of IV in waqf institutions. Through the Preferred Reporting Items for Systematic Review and Meta-analysis for Protocol approach, 327 articles were collected, which were then extracted to gain lessons from various case studies related to problems in waqf institutions.

This study illustrates tawheed, justice, accountability, trust, mutual consultation, Allah consciousness, enjoin virtue and avoiding evil and objectives of shariah in waqf governance.

The materials used in the systematic literature review were retrieved from few databases. The use of more academic databases will be better and more diverse, in addition to the repertoire of knowledge related to management and strategies at waqf institutions.

The identified values provide a framework for practitioners, policymakers and researchers to guide their efforts in developing and governing waqf institutions in accordance with Islamic principles.

The findings provide deep insights into the current state of IV in waqf institution in literature. This paper highlights many gaps in the literature and suggests directions for future studies to advance the understanding of implementation of IV. This study will help researchers to identify the new dimensions of research and contribute to the literature.

Higher education institutions like Effat University play a critical role in realizing the ambitious goals of Saudi Arabia’s Vision 2030, which emphasizes adaptability, agility, and sustainability in the educational sector. With the higher education landscape undergoing rapid transformation globally, institutions are compelled to rethink curricula and align more closely with the changing needs of students, industry, and the government. Effat University, situated at the confluence of Saudi Arabia’s Vision 2030 and the global Sustainable Development Goals (SDGs), shows adaptability, agility, and sustainability in the higher education sector. At the heart of Effat’s mission lies the IQRA core values, anchoring its academic and administrative endeavors and fostering graduates who are holistic, ethically grounded, and attuned to global challenges. This book chapter investigates Effat University’s distinctive approach, fortified by innovative initiatives, transformative leadership, expansive research activities, and the unwavering IQRA principles, as it positions itself to further the goals of Vision 2030 and the SDGs. Effat’s research, diverse in its scope and impact, ranges from cutting-edge technological advancements to interdisciplinary collaborations that address both local and global challenges.

Using a mixed-method approach and drawing from internal data and insights from the university’s archives the chapter underscores Effat University’s commitment to innovation, interdisciplinary education, research excellence, international collaborations, and sustainable practices, all harmonized by the guiding IQRA values. These concerted efforts resonate deeply with Vision 2030 and the SDGs, setting the stage for sustained academic excellence and solid foundation for future academic and societal progress.

The phenomenon of delayed payment to contractors, particularly in the construction industry, is a vital one and has implications for the health of economies of both developing and developed countries. However, the knowledge of this phenomenon seems patchy and scattered. This paper aims to provide a comprehensive overview of the knowledge on the subject matter with directions for future research.

A systematic literature review coupled with a scientometric analysis was used to identify the main strands of delayed payment to contractor research as a basis for qualitative analysis and directions for future investigations.

Current trends of delayed payment to contractor research are categorised into five broad themes, namely: causes, effects, mitigation measures, ethical and law and regulatory issues. On the basis of these themes, directions for future research are proffered.

To the best of the authors knowledge, this is the first attempt at providing a comprehensive and an integrated knowledge on delayed payment to contractor research with pointers for further investigation and policy directions.

The purpose of this paper is to investigate the benefit of critical success factors (CSFs) clustering in different phases of make-to-order (MTO) projects and develop standards for management.

This study is based on a questionnaire survey. First of all, collecting data by structured interviews, relying on a questionnaire and second from leader contractors who are active in the engineering and steel industry (in Iran). So, the requirements and objective of the research are presented to the top management of MTO projects to gain their support in data collection. Then 20 CSFs were identified by the literature review so a questionnaire survey was prepared for the CSFs assessment and interview with the experts. Finally analyzing the importance and performance of CSFs in project phases and cluster them in different project phases with self-organizing map as one of the artificial neural network (ANN) approaches due to high predictive accuracy. Review the research result with the top management of MTO project and examine the results obtained from neural networks and validation indices.

Cluster analysis shows that the implementation phase is the most important stage in MTO organizations and the other phases like feasibility and start-up, design and planning, delivery and end-phase should be also considered as effective phases in determining the level of organization performance. Different industries with additional data at different periodic times will verify the result. Furthermore, testing the other ANN model will improve risk analysis and could shift this classification approach to a regression type.

The main limitation of the research is related to the sample. Research findings are limited to the time of data collection so validity is limited to the mentioned time. Different industries with additional data will verify the result. Furthermore, testing different ANN models such as K-MEANS, non-negative matrix factorization (NMF) analyses will improve risk analysis and could meet different classification results to find gaps.

In this paper, CSF and project phase dimensions are viewed together which is necessary to meet better results for simplifying social and economic benefits. Merge the new findings and latest technologies could prepare the best results and enable managers to create a better framework or implement key factors for minimizing waste.

This paper moves the definition of MTO organizations beyond measuring cost, complexity and financial variables by clustering CSFs in different phases of projects. So, the results enable managers to use this concept in their daily production to minimize waste and could be implemented to efficiently choose factors.

This study aims to investigate whether various types of risks faced by the publicly listed commercial banks of India and Bangladesh are driven by market power and provides comparative insights from both economies.

By using the adjusted Lerner index to gauge bank market power and applying the generalised methods of moments (GMM) regression approach, the research delved into the relationship between bank market power and three distinct facets of risk across a sample of 26 publicly listed commercial banks in India and 22 listed banks in Bangladesh spanning from 2011 to 2022.

The results indicate that for Bangladesh, both “competition fragility” and “competition stability” viewpoints coexist simultaneously across all risk types, supporting a nonlinear relationship between market power and risk. However, in the Indian context, a nonlinear association exists only in the case of credit risk, while the relationship with insolvency risk is linear, substantiating the “competition fragility view”. Apart from market power and bank-specific variables, GDP growth rate has emerged as a prominent driver across all risk categories in both countries.

The filtration of banks is a limitation that might have influenced the outcomes. This study recommends that the Reserve Bank of India encourages further bank consolidation. Along the same line, Bangladesh Bank should closely oversee the growing competitive landscape. Furthermore, the regulators must monitor the elevated levels of non-performing loans to reduce credit risk so as to bolster the stability of their respective banking sectors.

This comparative study is the first attempt to analyse the market power and risk relationship and includes a novel bank-specific variable, i.e. technology, apart from other established variables.