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This chapter provided systematic and comprehensive analysis on trawl fisheries management and conservation measures in the Straits of Malacca. Detailed analysis is conducted on Malaysian fishery management framework particularly domestic country's trawl fishery status, legal structure, input-control strategies, ecosystem protection plan, pollution, law enforcement, and complementary measures that designed to reduce and prevent overfishing in the exclusive economic zone (EEZ) of Malacca Straits. Gaps and challenges found in existing trawl fisheries literature are presented followed by recommendations for improvement in the management and conservation of trawl fisheries.

This study aimed to identify the level of students' academic integration in the physical environment of the classroom.

This study used an experimental approach. The study sample consisted of 60 students, who were divided into an experimental group (n = 30) and a control group (n = 30) in two classrooms (classes 9 and 13). To verify the equivalence of the two groups, an ANOVA test was performed to determine the level of academic integration, and identify any statistically significant differences between the two groups before separating them and controlling all the other variables, except for the classroom environment variable.

The results revealed no statistically significant differences in the mean of pre-application academic integration. Ten days later, the lecturer explained the topic within the academic course and redistributed the scale of academic integration. The results of the second application revealed differences in the average mean of academic integration in favour of the experimental group (class 13). To identify statistically significant differences, a t-test was used for independent samples. The results showed statistically significant differences in the level of academic integration of the experimental group attributed to the variable of physical environment in favour of class 13.

This study recommend to proposing future physical learning environments in classrooms by improving physical aspects. These new learning environments can enhance the cooperation between teachers and students, allow for easier conveyance of ideas and promote students' ability to solve problems more effectively. The use of Metaverse technology in education may create an appropriate virtual physical environment that solves the problem of the physical environment and raises the level of academic integration of students.

This study aims to discuss the impact of the physical environment on the quality of distance education from the viewpoint of a number of teaching staff in Jordanian universities during the COVID-19 pandemic.

A total of 308 lecturers were selected using a snowball sampling method from different social media websites. The researcher used a descriptive analysis method by conducting social surveys.

The results reveal that there is a negative impact of the physical environment on the quality of distance education from the perspective of the teaching staff in Jordanian universities during the COVID-19 pandemic. The results also show that there are statistically significant differences between males and females in terms of the quality of distance education in favor of males. In addition, there are no statistically significant differences in the quality of distance education based on the place from which the lecture is given and the faculty type.

The study recommends improving teaching staff’s performance in the teaching process, boosting their comfort level and reducing stress and anxiety which may be caused by the surrounding physical environment during distance education.

The topic of the study is of great significance to quality assurance in education, i.e. online learning and teaching.

This study aims to identify and validate the environmental cleaning elements and performance criteria to prevent Covid-19 infection in health-care facilities.

Eight elements and 38 performance criteria were identified from the literature, and a questionnaire survey that involved environmental cleaning experts was carried out. Content validity index was used to validate the content of the environmental cleaning elements and performance criteria in this study.

The result indicates that the performance criteria of “Finishes, furnishings” and “Equipment Maintenance Log” were not relevant to be applied in current fighting against Covid-19 infection in health care. However, the remaining 36 performance criteria were proved as relevant and acceptable.

The findings of this study can provide a significant contribution to the built environment industry. By knowing the environmental cleaning elements and performance criteria, efforts can be carried out to explore measures that can be taken to improve the environmental cleaning practice in health care to battle against Covid-19 infection.

This paper fulfils an identified need to study how environmental cleaning can be implemented in health-care facilities.

This study aims to determine the influence of store attributes on customer experience, brand love and brand loyalty at Hijup stores.

This research uses quantitative methods. The technique of determining the sample used is purposive sampling. The sample criteria in this study were consumers who had visited and bought products directly at the Hijup store with a minimum age of 17 years. The amount of data collected is 224 samples. Data was collected by distributing online questionnaires. The data analysis technique used the structural equation modeling operated through the IBM AMOS 26.0 program.

The results of the study reveal that customer experience is influenced by all dimensions of the store attribute variable including merchandise, communication with staff, store atmosphere and transaction convenience. In addition, this study shows that customer experience also positively affects brand love and brand loyalty. Finally, the analysis shows that brand love positively affects brand loyalty.

The theoretical contribution of this research is the testing of four variables (store attribute, customer experience, brand love and brand loyalty) in the same model in the context of halal fashion, thus helping to broaden insight and understanding of the influence of store attributes on customer experience, brand love and brand loyalty in halal fashion. This research can be a reference for academics to develop further research following this research topic.

This study provides practical implications for managers to increase their efforts in creating good store attributes, to create a positive customer experience that can build customer brand love and brand loyalty.

The long-term effect of the company’s success in developing brand love and brand loyalty is that it makes it easier for customers to trust, be satisfied and recommend the brand to others.

In the context of the halal concept, several studies among Muslims in Asia and western countries have yielded important information about consumer behavior toward halal products such as food and tourism. Departing from previous research, this research is to fill the gaps of previous research and get better insights into the customer experience visiting halal fashion stores. Therefore, this study tries to define and validate consumer profiles about halal fashion and identify customer experience, brand loyalty and brand love in the context of halal fashion.

This study presents a systematic literature review (SLR) of the interdisciplinary literature on drones in last-mile delivery (LMD) to extrapolate pertinent insights from and into the logistics management field.

Rooting their analytical categories in the LMD literature, the authors performed a deductive, theory refinement SLR on 307 interdisciplinary journal articles published during 2015–2022 to integrate this emergent phenomenon into the field.

The authors derived the potentials, challenges and solutions of drone deliveries in relation to 12 LMD criteria dispersed across four stakeholder groups: senders, receivers, regulators and societies. Relationships between these criteria were also identified.

This review contributes to logistics management by offering a current, nuanced and multifaceted discussion of drones' potential to improve the LMD process together with the challenges and solutions involved.

The authors provide logistics managers with a holistic roadmap to help them make informed decisions about adopting drones in their delivery systems. Regulators and society members also gain insights into the prospects, requirements and repercussions of drone deliveries.

This is one of the first SLRs on drone applications in LMD from a logistics management perspective.

This study aims to develop a comprehensive insolvency model tailored to Islamic banks, ensuring alignment with Shariah principles throughout pre-insolvency, bankruptcy and post-bankruptcy stages.

The research adopts a qualitative research method, using a desktop research approach. Primary sources and secondary sources are examined to gather information and draw conclusions.

This study presents a comprehensive insolvency model designed for Islamic banks, rooted in Shariah principles. The model covers pre-insolvency, bankruptcy (taflis) and post-bankruptcy stages, incorporating key Shariah parameters to ensure adherence to Islamic finance principles. It addresses challenges such as adapting to dynamic financial landscapes and varying interpretations of Shariah principles. Notably, the model recognizes the separate legal personality of Islamic banks and emphasizes transparency, fairness and compliance with religious obligations. In the post-bankruptcy stage, directors are urged to voluntarily settle remaining debts, aligning with ethical and Shariah-compliant standards.

The study contributes to the stability and growth of Shariah-compliant financial systems by extending insolvency principles to Islamic banks, providing a foundation for future research and policymaking specific to this context.

This study aims to explore the determinants that impact state Islamic University/Perguruan Tinggi Keagamaan Islam Negeri students’ intention to adopt online cash waqfs. In doing so, this study integrates knowledge of cash waqf and trust variables within the theory of planned behavior (TPB), allowing an examination of the mediating role of TPB variables and trust within the relationship between knowledge of cash waqf and intention for online cash waqf behavior.

To carry out an empirical analysis, the authors developed a well-structured questionnaire and distributed it to a group of students currently enrolled in PTKIN, obtaining 443 usable responses. The partial least squares-structural equation modeling (PLS-SEM) technique was used for the dual purposes of data analysis and hypothesis testing.

This study demonstrates that factors such as attitude, subjective norms, perceived behavioral control, trust and knowledge of cash waqf have a significant and favorable influence on the intention to donate through e-cash waqf. Knowledge of cash waqf impacts attitudes, subjective norms, perceived behavioral control and trust. The final analysis shows that attitude, subjective norms, perceived behavioral control and trust partially mediate the relationship between knowledge and intention in the online cash waqf context.

The aforementioned elucidates the paramount importance of trust in shaping individuals’ tendencies to engage in cash waqfs. The insights mentioned have the potential to be used by cash waqf establishments to promote transparency and accountability, ultimately bolstering the confidence of potential donors.

The concepts of waqf and the use of online cash waqf as a means of donation in developing countries are relatively new. In this study, the intention of students to adopt online cash waqf was predicted for the first time by considering their knowledge of cash waqf and their trust in online cash waqf transactions.

In the stock market, herding behavior occurs when investors mimic the actions of others in their investment decisions. As a result, the market becomes inefficient and speculative bubbles form. This study aims to investigate the relationship between information, overconfidence, market sentiment, experience and national culture, and herding behavior among Malaysian investors. A total of 400 questionnaires are distributed to bank institutions' investors. The survey design based on cross-sectional data is analyzed using the Partial Least Squares Structural Equation Model. The results indicate that information, market sentiment, experience, and national culture are positively related to herding behavior, while overconfidence has no effect. With this, the government should strengthen regulations to prevent the dissemination of misleading information. Moreover, investors are encouraged to overcome narrow thinking by expanding their understanding of different cultures when making investment decisions.

This paper aims to review 69 studies related to Muslim consumer behavior and determine the relationship between these topics and Islamic rationality. In addition, this paper elaborates on Al-Ghazali’s Islamic rationality model.

A text analytics approach is used to map 69 studies on Muslim consumer behavior. In addition, the historical-critical and inductive approach is used to identify Muslim scholars’ concepts and opinions regarding Islamic rationality, especially Al-Ghazali.

This study confirms that Muslim consumer behavior is in line with the concept of Islamic rationality proposed by Al-Ghazali. This is evidenced by a strong awareness of Islamic morals and values, which fosters a high commitment to halal products.

The findings of this study will provide essential benefits in the development of Islamic rationality theory, which can then be used as an alternative in explaining Muslim consumer behavior and also can be used as a reference for stakeholders in the industry to mainstream halalfication on products offered in the Muslim market.

The value of originality in this study lies in identifying the relation between Islamic rationality and Muslim consumer behavior, and this effort was confirmed through 69 selected studies related to Muslim consumer behavior.