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This study aims to investigate the evolving travel intentions of tourists in the aftermath of the relaxation of international mobility restrictions in 2022. It aims to understand how the concept of “revenge travel” – travelling with the intent to make up for lost time during crisis periods – impacts tourists' travel intentions in the post-crisis era.

Employing a quantitative approach, the study uses Structural Equation Modelling (SEM). Data were collected through a survey of 320 respondents in 2022. This methodology enables a comprehensive understanding of travel intentions, including motivations, perceptions of destination safety and the influence of revenge travel.

The findings reveal that revenge travel is a significant predictor of travel intentions post-crisis. The results indicate that tourists are less concerned with health and safety and are more driven by the desire to compensate for lost travel opportunities. This shift suggests that travel intentions in the post-crisis era are not predominantly fear-induced. The study also offers insights into how these intentions can inform the recovery and sustainable planning of the tourism industry.

This paper recognises the impact of revenge travel on travel intentions following the lifting of crisis-related mobility restrictions. It provides novel insights into tourists' post-crisis travel behaviour, extending the understanding of travel motivations in extraordinary circumstances. The findings are valuable for tourism practitioners and researchers, offering guidance for future tourism development and marketing strategies within a post-crisis context.

The imperative to conserve resources and minimize operational expenses has spurred a notable increase in the adoption of lean manufacturing within the context of the circular economy across diverse industries in recent years. However, a notable gap exists in the research landscape, particularly concerning the implementation of lean practices within the pharmaceutical industry to enhance circular economy performance. Addressing this void, this study endeavors to identify and prioritize the pivotal drivers influencing lean manufacturing within the pharmaceutical sector.

The outcome of this rigorous examination highlights that “Continuous Monitoring Process for Sustainable Lean Implementation,” “Management Involvement for Sustainable Implementation” and “Training and Education” emerge as the most consequential drivers. These factors are deemed crucial for augmenting circular economy performance, underscoring the significance of management engagement, training initiatives and a continuous monitoring process in fostering a closed-loop practice within the pharmaceutical industry.

The findings contribute valuable insights for decision-makers aiming to adopt lean practices within a circular economy framework. Specifically, by streamlining the process of developing a robust action plan tailored to the unique needs of the pharmaceutical sector, our study provides actionable guidance for enhancing overall sustainability in the manufacturing processes.

This study represents one of the initial efforts to systematically identify and assess the drivers to LM implementation within the pharmaceutical industry, contributing to the emerging body of knowledge in this area.

The Operations and Maintenance (O&M) cost of a facility is typically 60–85% of the total life cycle cost of a building whereas its design and construction cost accounts for only 5–10%. Therefore, enhancing and optimizing the O&M of a facility is a crucial issue. In addition, with the increasing complexities in a building's operating systems, more technologically advanced solutions are required for proactively maintaining a facility. Thereby, a tool is needed which can optimize and reduce the cost of facility maintenance. One of the solutions is Augmented or Mixed Reality (AR/MR) technologies which can reduce repair time, training time and streamline inspections. Therefore, the purpose of this study is to establish contextual knowledge of AR/MR application in facilities operation and maintenance and present an implementation framework through the analysis and classification of articles published between 2015 and 2022.

To effectively understand all AR/MR applications in facilities management (FM), a systematic literature review is performed. The Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA) protocol was followed for searching and describing the search strategies. Keywords were identified through the concept mapping technique. The Scopus database and Google Scholar were employed to find relevant articles, books and conference papers. A thorough bibliometric analysis was conducted using VOS Viewer and subsequently, a thematic analysis was performed for the selected publications.

The use of AR/MR within facilities O&M could be categorized into five different application areas: (1) visualization; (2) maintenance; (3) indoor localization and positioning; (4) information management and (5) indoor environment. After a thematic analysis of the literature, it was found that maintenance and indoor localization were the most frequently used research application domains. The chronological evolution of AR/MR in FM is also presented along with the origin of publications, which showed that the technology is out of its infancy stage and is ready for implementation. However, literature showed many challenges hindering this goal, that is (1) reluctance of the organizational leadership to bear the cost of hardware and trainings for the employees, (2) Lack of BIM use in FM and (3) system lagging, crashing and unable to register the real environment. A preliminary framework is presented to overcome these challenges.

This study accommodates a variety of application domains within facilities O&M. The publications were systematically selected from the existing literature and then reviewed to exhibit various AR/MR applications to support FM. There have been no literature reviews that focus on AR and/or MR in the FM and this paper fills the gap by not only presenting its applications but also developing an implementation framework.

Synthetic materials have many drawbacks in high-performance garments because they absorb less moisture and cause allergies to sensitive individuals. Cotton materials cannot satisfy all the requirements and cannot provide the required high performance. This study aims to use eco-friendly materials with a common structure to analyse their suitability for high-performance garment application.

This study used two eco-friendly yarns (bamboo, modal and bamboo: modal 50:50) and yarns per needle (two- and four-ply yarns). with a single jersey knit construction and gauge of 7. The physical, mechanical, appearance, comfort, thermal and ultraviolet protection factor (UPF) protection characteristics were evaluated using 15 tests.

The produced knitted fabrics showed high performance for use as garments with physical, mechanical, appearance, comfort, thermal and UPF protection characteristics that were achieved, tested and analysed. The highest-achieved samples with a good UPF (<15) were made from bamboo material, which has other high-performance characteristics such as antibacterial characteristics, a soft surface, thermal insulation and others.

The single jersey structure was used for producing fabrics as it is the common structure in the garment. Also, only gauge 7 was used for its economics and ease of production.

The purpose of this study is to examine the impact of the marketing mix, customer perceptions, and religion on the buying decision of Islamic banking products in an emerging market namely the United Arab Emirates (UAE).

This study adopts a quantitative approach to analyze the data of 435 respondents collected through an online survey during January–February 2022. Data analysis of direct and moderating relationships are done through Smart PLS (partial least squares) using structural equation modelling (SEM) technique.

The results indicate that marketing mix (product, price, place and promotion) and customer perceptions have a positive direct relation with the buying decision of Islamic banking products in the UAE. However, moderation analysis shows that religion is a non-significant moderator for the above relationships.

This study combines potential variables from the perspectives of marketing, human mindset, and individual beliefs. The findings of this study provide a wider understanding of consumer behavior toward Islamic banking products. Marketers of the Islamic banking industry can utilize these findings for effective market segmentation and well-crafted marketing strategies. This will ultimately contribute to the sustainable growth and development of the Islamic banking industry in the UAE and other regions.

Takaful insurance is gaining increasing popularity worldwide. However, the takaful industry is relatively new in Uganda and its research is still in embryonic stages. This study aimed at exploring the contextual determinants for the uptake of takaful insurance in Uganda, a minority Muslim country.

This study used a sequential exploratory mixed research design using qualitative and quantitative approaches and drawing data from the managers of insurance companies and a section of potential customers of takaful products in Uganda. The qualitative data were analysed using content analysis to determine the emerging themes, whereas quantitative data was analysed using descriptive statistics.

The findings revealed that informational, individual personality and demographic factors influences the customer’s choice to select takaful products in Uganda. The authors concluded that focusing on informational besides, individual personality and demographic factors would enhance the uptake of takaful insurance in a minority Muslim country like Uganda.

This study was limited to establishing and classifying the contextual determinants of takaful insurance without establishing the degree by which each of the determinants especially informational, demographic and individual personality explains the penetration of takaful insurance. Hence, future studies can examine the causal relationship between each of the three highlighted determinants on the penetration of takaful insurance in the context of minority Muslim countries.

The study contributes to the insurance industry players and the insurance regulator in understanding the respective customers needs for them to subscribe to takaful products.

This study presents an opportunity to understand the takaful or Islamic insurance market in Uganda by exploring the factors that can determine the subscription of takaful products in the country.

This study aims to explore the long- and short-run effects of daily confirmed cases of COVID-19 (C_t) on daily stock returns (R_t) for Kuwait. This is the first study that was applied to the case of Kuwait.

We employed the autoregressive distributed lag (ARDL) model of Pesaran et al. (2001) and the nonlinear autoregressive distributed lag (NARDL) model of Shin et al. (2001) for daily data over the period March 2020 to August 2021.

The findings first document the existence of a long-run relationship (cointegration). Second, the findings of the ARDL model show a significant positive long-run effect of daily confirmed cases of COVID-19 (C_t) on daily stock returns (R_t) but a significant negative short-run effect. As for the NARDL model, the findings showed that the increase and decrease of daily confirmed cases of COVID-19 (Ct−1+,Ct−1−) have symmetric long-run effects on daily stock returns but asymmetric short-run effects. Finally, the vector error correction model causality test shows significant long- and short-run unidirectional causality running from daily confirmed cases of COVID-19 (C_t) to daily stock returns (R_t).

To the best of the author’s knowledge, this is the first study that was applied to the case of Kuwait.

The purpose of this paper is to examine how the board of directors effectiveness (BODE), financial determinants, Takaful-specific determinants and the Takaful firms’ financial stability are related to the Shari’ah Supervisory Board’s quality (SCQ).

Using hierarchical regression analysis, the authors examine the determinants of financial stability of Takaful insurance and the authors test the moderator role of SCQ over 2016–2022 on a sample of 19 listed Takaful firms in 10 countries in the Middle East and South Asia region.

The findings reveal that SCQ negatively moderates the positive relationship between BODE, the Takaful model, diversification strategy, solvency, liquidity and Takaful financial stability. Shari’ah governance plays a crucial role in improving the financial soundness and the Shari’ah compliance of Takaful insurance.

This paper includes two main limitations. The results are restricted to the Middle East region and South Asia and may not be generalized to other areas. The study presents data from only 19 Takaful firms.

This kind of investigation is of immense relevance to enhance the understanding of governance and soundness of Takaful companies. Furthermore, it serves as a guide to the recruitment of Shari’ah board members, the choice of Takaful model and appropriate strategy to increase its financial stability.

This research studies the financial stability of Takaful insurance and the moderating role of SCQ, unlike the majority of other works that focus on financial performance.

This paper aims to examine existing literature on halal food consumption from the perspective of consumer behaviour research. It identifies progress, current state and gaps and provides direction for future research to advance the field.

This paper reviewed papers from 2007 to 2023 using Scopus and WOS databases. The review used the Theories–Context–Characteristics–Methods (TCCM) framework and followed the scientific procedures and rationales for systematic literature reviews (SPAR-4-SLR) protocol.

The review summarises the methods, theory and approaches used in the topic and presents key findings and a proposed framework. It can guide future researchers in developing their models, making it a valuable starting point for future research. Despite the existence of SRL in halal food to the best of the authors’ knowledge, this work is the first review that proposes a model for halal food in consumer behaviour.

This review provides a twofold contribution. First, this review's theoretical contribution is advancing consumer behaviour literature on halal food. Second, this work's practical contribution is to enrich practitioners' understanding of the antecedents of consumer behaviour regarding halal food. This is the first review proposing a consumer behaviour model for Halal food. It makes a theoretical contribution to understanding consumer behaviour on Halal food and provides practical insights for practitioners.

This study aims to address the key issues concerning supplier selection in traditional construction procurement by proposing an innovative, novel, state-of-the-art prototype plugin building information modelling – supplier search and ranking (BIM-SSR) and an associated conceptual framework. It enhances building information modelling (BIM) capabilities through web crawling and analytical hierarchy processes (AHP). It uses the World Wide Web to procure construction material suppliers.

Prevalent issues in traditional procurement of material suppliers have been identified through a rigorous literature review. Field experts vetted these issues. A framework has been presented to address these issues based on integrated web crawling and AHP as a multi-criteria decision-making (MCDM) method. A BIM prototype (BIM-SSR) has been developed using Python and plugged into Autodesk Revit to automate the search and evaluation of material suppliers based on precise material specifications from the BIM design. The BIM-SSR prototype is tested through a case study and validated by field professionals for its efficiency in tackling the identified issues.

Thirteen key issues have been identified concerning traditional construction procurement pertinent to supplier selection. Best-value procurement was encouraged by identifying supplier selection criteria such as cost, delivery time, experience, compliance with quality management standards, warranties, and claim period. The presented BIM-SSR prototype has an efficiency of 80%–95% in addressing the issues identified in this study and 97.5% effectiveness in improving the overall procurement management process.

The BIM-SSR prototype developed in this study is a novel and innovative addition to the body of knowledge that has been integrated into Autodesk Revit as a Plugin. Automation of supplier search and selection through digital technologies, including web crawling and integration of traditionally accepted MCDM methods such as AHP in BIM, is another innovation in the current study. Overall, this study presents a holistic, innovative system, from conceptual design to practical implementation and demonstration. This is one of the steps to help the traditional construction procurement process evolve into a more modern and digital procurement.