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The purpose of this paper is to build a relationship between the quantitative and structural indicators of maqashid sharia studies produced from bibliometric analysis and the conceptual discussion developed through a thorough review of selected key literature.

The study uses bibliometric analysis, collecting information drawn from 219 articles published in 68 journals during the period of 2006–2022. This study uses VOSviewer, RStudio, Microsoft Excel, and an examination of research time periods using the Scopus database to illustrate the citation analysis and keyword map. It is also strengthened by content analysis of selected studies.

The main research theme found in this study is the application of maqashid sharia in Islamic banks, with Islamic banks and Islamic finance among the most frequently used keywords. Meanwhile, the geographical spread of maqashid sharia research has reflected its universal acceptance, as it has spread across both Muslim-dominant and non-Muslim-dominant countries. Besides, maqashid sharia is found to be an extremely important subject for ensuring the ethical dimension of Islamic finance products and services, a more inclusive human development index, and contributing to the international agenda of Sustainable Development Goals. Lastly, future research is expected to broaden it into a multi-dimensional horizon, with several recommendations offered to enrich the understanding of maqashid sharia.

The findings of this study can be beneficial to multiple stakeholders in Islamic finance industry, including the management of Islamic banks, who can enhance the values of maqashid sharia in designing their products/services, and the regulators, who can formulate regulatory frameworks which are reflective of maqashid sharia principles.

This study will assist future scholars in this field to formulate and design exciting research ideas and models to address the deficiencies found in the current implementation of maqashid sharia within Islamic finance industry.

The primary contribution of this study is to provide comprehensive review and discussion of selected significant literature on maqashid sharia and give direction for future research. In addition, this study also extends and incorporates the results of bibliometrics using the recent maqashid sharia studies published at the end of 2022.

This paper aims to examine and compare extant literature on the application of multi-criteria decision-making (MCDM) techniques in humanitarian operations (HOs) and humanitarian supply chains (HSCs). It identifies the status of existing research in the field and suggests a roadmap for academicians to undertake further research in HOs and HSCs using MCDM techniques.

The paper systematically reviews the research on MCDM applications in HO and HSC domains from 2011 to 2022, as the field gained traction post-2004 Indian Ocean Tsunami phenomena. In the first step, an exhaustive search for journal articles is conducted using 48 keyword searches. To ensure quality, only those articles published in journals featuring in the first quartile of the Scimago Journal Ranking were selected. A total of 103 peer-reviewed articles were selected for the review and then segregated into different categories for analysis.

The paper highlights insufficient high-quality research in HOs that utilizes MCDM methods. It proposes a roadmap for scholars to enhance the research outcomes by advocating adopting mixed methods. The analysis of various studies revealed a notable absence of contextual reference. A contextual mind map specific to HOs has been developed to assist future research endeavors. This resource can guide researchers in determining the appropriate contextual framework for their studies.

This paper will help practitioners understand the research carried out in the field. The aspiring researchers will identify the gap in the extant research and work on future research directions.

To the best of the authors’ knowledge, this is the first literature review on applying MCDM in HOs and HSCs. It summarises the current status and proposes future research directions.

This study aims to show the dyeing behaviour of polyester fabrics using four novel heterocyclic disperse dyes.

The four dyes were synthesized based on 5, 5'-(1, 4-phenylene) bis (1, 3, 4-thiadiazol-2-amine) as a diazonium compound. The UV/Vis absorption spectroscopic data of these disperse dyes while dyeing polyester fabrics were investigated. Following this, the dyeing properties of these dyes on polyester fabrics were investigated under acid condition.

The results showed that increasing the dyeing temperature from 80°C to 100°C led to an increase in dye uptake for all dyes, but further increases of the temperature to 130°C led to higher dye uptake for dye 3 as the dye exhaustion increased by about 50% from 55.9% to 91.4%.

This study is important as it introduces new dyes for the dyeing of polyethylene terephthalate (PET) fibres with colours that range from yellowish orange to bluish yellow and scarlet red and all with excellent brightness, levelness and depth of shade.

The survival of hotel business in maintaining market competitiveness depends on the constant improvement of the quality of hotel facilities and services. The key to sustain hotel business is lean on the adaptability of the hotel management team towards current lifestyle trends and its surrounding context in fulfilling customer satisfaction. Because of hotel operating service complexity, the hotel contributes a higher impact on environmental degradation in performing their daily activities. Therefore, hoteliers need to determine sustainable strategies to minimize environmental impact and at the same time be able to provide satisfaction to their customers. However, green initiatives require a proactive action by the organizational management engaging both employees and guests in the environmental management process. Thus, this paper aims to review the concept of green practices, the implementation of green practices from the stakeholders’ perspectives (manager, employee and customers) in the hotel industry, the performance impact from the green practices on the sustainability pillars and to further develop a conceptual green practice to sustainable hotel operations and performance impact.

This paper identified relevant empirical research that published in the recent 10 years from January 2012 to December 2021. The articles are searched through reputable databases such as Emerald, Elsevier and Taylor and Francis. The obtained data were screened preliminarily from 108 research papers. The post-screening process has finalized a total of 57 articles as the findings for this paper, where the themes were delineated to the attributes that need to implemented by the stakeholder in hotels industry, that is, manager’s perspectives, employee’s perspectives and customer’s perspectives.

The findings of this paper revealed that there are 27 attributes of green practices and initiatives for sustainable hotel operations from the manager perspectives (10 attributes – Green Marketing Strategy, Green Managerial Attitude, Eco-Innovation Investment, Marketing and Sustainability, Environmental Management Strategy, Green Supply Chain, Green Managerial Awareness, Green Procurement, Green Human Resources and Green Technology), employee perspectives (5 attributes – Employee Green Awareness, Employee Green Training and Educating, Employee Environmental Behaviour, Employee Green Performance and Employee Green Reward) and customer’s perspectives (12 attributes – Customer Perception, Customer Loyalty, Customer Awareness, Customer Behaviour, Customer Trust, Green Supply Chain, Green Value, Green Marketing Strategy, Customer Perceived Value, Service Quality, Brand Image and Hotel Design). All of the attributes are aligned to the performance effectiveness as the major concern in the hotel’s operations and impacted towards the sustainability pillars, environmental performance, economic performance and social performance. Sustainable practice in organization benefits the owners towards sustainable economic, environmental, socio-cultural and legal policy.

This review paper provides key elements of current green practices and sustainable initiatives for the hotel’s operations, as proactive measures. The novelty of the findings is to be able to convey valuable inputs to the relevant stakeholders (hotel’s owner, consultants, designers, maintenance officers, hoteliers, staffs, customers and end-users) in perceiving the elements of green practices into the preliminary planning of the hotel’s design. The review also helps to identify practices and measures to the performance impact to the hotel’s operations.

This study seeks to develop a clearer understanding of the motivational factors affecting Saudi female business undergraduates' choice of pursuing entrepreneurship.

The research adopts a quantitative approach to gain general understanding of the students' perceptions with regard to their motivations to pursue entrepreneurship. Data were collected through a structured questionnaire survey administered to 214 female business undergraduates at Prince Mohammad Bin Fahd University (PMU) in Al-Khobar, to investigate their perceptions of entrepreneurial motivations. Descriptive statistics and factor analysis were used to identify the motivational factors. Multiple regression analysis was used to reveal relationships between the motivation factors and entrepreneurial motivation of female business undergraduates.

The study revealed four generalised entrepreneurial motivations among Saudi female business undergraduates: personal motivational factors with an emphasis on freedom and social status; business motivational factors such as financial rewards and security; social motivational factors manifested in the influence of the community, roles and family; and environmental motivations which were mainly associated to education, the market knowledge and ability to access finance.

The study was restricted to female students at PMU University. Thus, generalisation of the results could be limited. The findings of the study could be useful to relevant authorities to enhance and boost entrepreneurship for female students and hence to contribute to the national Vision 2030.

This study is among those few studies located in the MENA region that explore Saudi female university students' attitude towards entrepreneurship. It adds to the authors' understanding on the four generalised factors by highlighting the importance of the family's role and entrepreneurship education in motivating Saudi female students towards entrepreneurship engagement. It also contributes to the understanding of these motivations that could be applied in other similar contexts.

Modern human society has continuous advancements that have a negative impact on the quality of the air. Daily transportation, industrial and residential operations churn up dangerous contaminants in our surroundings. Addressing air pollution issues is critical for human health and ecosystems, particularly in developing countries such as Egypt. Excessive levels of pollutants have been linked to a variety of circulatory, respiratory and nervous illnesses. To this end, the purpose of this research paper is to forecast air pollution concentrations in Egypt based on time series analysis.

Deep learning models are leveraged to analyze air quality time series in the 6th of October City, Egypt. In this regard, convolutional neural network (CNN), long short-term memory network and multilayer perceptron neural network models are used to forecast the overall concentrations of sulfur dioxide (SO₂) and particulate matter 10 µm in diameter (PM₁₀). The models are trained and validated by using monthly data available from the Egyptian Environmental Affairs Agency between December 2014 and July 2020. The performance measures such as determination coefficient, root mean square error and mean absolute error are used to evaluate the outcomes of models.

The CNN model exhibits the best performance in terms of forecasting pollutant concentrations 3, 6, 9 and 12 months ahead. Finally, using data from December 2014 to July 2021, the CNN model is used to anticipate the pollutant concentrations 12 months ahead. In July 2022, the overall concentrations of SO₂ and PM₁₀ are expected to reach 10 and 127 µg/m³, respectively. The developed model could aid decision-makers, practitioners and local authorities in planning and implementing various interventions to mitigate their negative influences on the population and environment.

This research introduces the development of an efficient time-series model that can project the future concentrations of particulate and gaseous air pollutants in Egypt. This research study offers the first time application of deep learning models to forecast the air quality in Egypt. This research study examines the performance of machine learning approaches and deep learning techniques to forecast sulfur dioxide and particular matter concentrations using standard performance metrics.

The purpose of this study is to analyze the combined effect of eight factors – performance expectancy (PE), effort expectancy (EE), hedonic motivation (HM), system quality (SQ), information quality (IQ), service quality (SEQ), digital literacy (DL) and computer anxiety (CA) on learners’ behavioral intention (BI) toward the adoption of e-learning in higher education institutions (HEIs) in India.

The study used factors from two theoretical models, the extended Unified Theory of Acceptance and Use of Technology and the DeLone and McLean Information Systems Success model. The study also considered DL and CA as additional factors because they could affect a learner’s intention in a developing country like India. Data were collected from three HEIs in Southern India and analyzed using fuzzy qualitative and comparative analysis (fsQCA).

The results of the study emphasize the importance of considering both individual and technological factors in e-learning adoption and provide evidence for the significance of integrating multiple theories in understanding the complex relationship between factors and learners’ BI. Four different configurations of the eight factors: EE*HM*SQ*IQ*SEQ*DL*∼CA; PE*EE*HM*SQ*IQ*DL*CA; PE*EE*HM*IQ*SEQ*DL*CA; and PE*EE*SQ*IQ*SEQ*DL*CA found to be sufficient to cause learners’ BI to use e-learning.

This study explores the complex relationship between different factors and learners’ intention to adopt e-learning using the fsQCA method. These findings may need further validation in HEIs across different geographical locations.

This study provides practical insights for HEIs in India and other developing countries on how different factors combine and interact to determine e-learning adoption in multiple contexts.

Using fsQCA as a novel and rigorous method, this study uncovers the complex and nonlinear causal relationships among various factors that affect e-learning adoption. This study provides a holistic and contextualized understanding of e-learning adoption in a developing country’s scenario. This study can inform educators and policymakers on how to design and implement effective e-learning strategies that suit different learner profiles and contexts.

This paper aims to derive a compatible Shariah opinion on the permissibility of using cryptocurrencies by Muslims by reviewing the opinions expressed by Shariah scholars on the permissibility of cryptocurrencies.

This is a qualitative desk review research where the opinions expressed by the Shariah scholars on the permissibility of cryptocurrencies and the issues related to it have been analyzed using the literature. All the Shariah parameters checked pertaining to currencies have been studied and assessed to derive the Shariah opinion.

The research findings suggest that cryptocurrencies do not fully meet the characteristics of money according to Shariah principles. Scholars debate their classification as a medium of exchange due to concerns about volatility, intrinsic value and governance. The treatment of cryptocurrencies varies, and their decentralized nature prevents monopolization. Governance and resistance to manipulation are facilitated by blockchain technology. Classifying cryptocurrencies as hard money and their recognition as the primary unit of account face challenges. While they can be a store of value, price volatility and regulations must be considered. The network effect is crucial for their success, and their supply is controlled through complex protocols. These findings have implications for policymakers in Islamic finance.

The differences in Shariah opinions on using cryptocurrencies have been a major debate in the Islamic financial industry. A clear and comprehensive study is not found on the differences in the Shariah opinions on their reasonings, which is important for researchers and professionals in the field. Therefore, this research provides valuable insights for policymakers, scholars and practitioners in Islamic finance, contributing to the understanding of applying Islamic principles to cryptocurrencies.

The primary purpose of this research is to conceptualise and validate the comprehensive framework for effectively measuring and managing employee-based brand equity (EBBE) benefits. The study endeavours to integrate professional and socio-emotional facets of employees' into the proposed model, lending it a more holistic approach.

The study focusses on the banking sector in Kosovo, employing structural equation modelling to analyse data from a sample of 325 employees.

Both professional and socio-emotional perspectives significantly influenced brand knowledge, positively impacting EBBE benefits such as employee satisfaction, retention and positive word of mouth (WOM). These findings provide empirical support for the theoretical assumptions concerning the role of professional and socio-emotional perspectives in building EBBE.

Theoretically, this research could bridge marketing and organisational behaviour theories by highlighting employees' role in building brand equity. Moreover, it might expand the social identity theory within an organisational context, emphasising employees' identification with the brand as a crucial element.

The study offers practical implications for the banking industry and similar contexts, suggesting robust internal marketing strategies prioritising professional development and socio-emotional connectivity. Theoretically, this research could bridge marketing and organisational behaviour theories by highlighting employees' role in building brand equity. Moreover, it might expand the social identity theory within an organisational context, emphasising employees' identification with the brand as a crucial element.

The paper presents an original contribution to the field of brand equity research by proposing and validating a novel framework for EBBE that uniquely integrates both professional and socio-emotional dimensions of employees' experiences. This approach is particularly innovative within the context of the banking sector, offering new empirical insights.

This study aims to identify significant factors, analyse them using the consistent fuzzy preference relations (CFPR) method and forecast the probability of successful deployment of the internet of things (IoT) and cloud computing (CC) in Gujarat, India’s building sector.

From the previous studies, 25 significant factors were identified, and a questionnaire survey with personal interviews obtained 120 responses from building experts in Gujarat, India. The questionnaire survey data’s validity, reliability and descriptive statistics were also assessed. Building experts’ opinions are inputted into the CFPR method, and priority weights and ratings for probable outcomes are obtained to forecast success and failure.

The findings demonstrate that the most important factors are affordable system and ease of use and battery life and size of sensors, whereas less important ones include poor collaboration between IoT and cloud developer community and building sector and suitable location. The forecasting values demonstrate that the factor suitable location has a high probability of success; however, factors such as loss of jobs and data governance have a high probability of failure. Based on the forecasted values, the probability of success (0.6420) is almost twice that of failure (0.3580). It shows that deploying IoT and CC in the building sector of Gujarat, India, is very much feasible.

Previous studies analysed IoT and CC factors using different multi-criteria decision-making (MCDM) methods to merely prioritise ranking in the building sector, but forecasting success/failure makes this study unique. This research is generally applicable, and its findings may be utilised for decision-making and deployment of IoT and CC in the building sector anywhere globally.