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This study explores the relationship between leverage and earnings management in the context of Palestinian-listed companies, while also investigating whether audit industry specialization influences this relationship.

The data used in this study are extracted from public financial reports of 39 firms listed on Palestine Stock Exchange (PEX), spread across the service, insurance, industry and investment sectors, for the time period 2011–2022. A model is developed to test 4 hypotheses about the relationships between long-term and short-term debts, and earnings management, and then to examine the influence of audit industry specialization on these relationships.

The results depict a significant, negative relationship between long-term debt and earnings management. Whereas the association between short-term debt and earnings management is insignificant. Audit industry specialization is proven to have no influence on the relationships between the independent and the dependent variables. Results are robust for firms that changed their accounting policies and using different audit industry specialization proxies.

The association between leverage and earnings management is a significant research topic, given that previous research identifies credit ratings and debt covenant violations as key factors which motivate earnings management. This paper fills a substantial research gap by examining the relationship between the two variables in the context of Palestinian-listed firms, while emphasizing the distinction between long-term and short-term debts. It also highlights key relationships that have been neglected in this particular context, which adds to the body of literature. Furthermore, the research's findings provide a solid information base that is of great interest to accounting and auditing experts and that may be seriously evaluated to support and advance the PEX sector.

This study aims to examine the factors affecting brand image and consumer satisfaction towards Islamic travel package in Malaysia.

This study used a cross-sectional design and quantitative method in examining the factors affecting the brand image and consumer satisfaction on Islamic travel package. This study has chosen Google form as a platform to collect the data.

The findings revealed that product quality, Islamic physical attribute and Islamic belief have a significant positive effect on brand image and consumer satisfaction. The findings confirmed that product quality, Islamic physical attribute and Islamic beliefs are the crucial tools for brand image that leads to the satisfaction of Muslim consumers on the Islamic travel package.

This paper addresses understudied aspects of brand image and consumer satisfaction towards Islamic travel package in Malaysia. It provided useful insights into the product quality, Islamic physical attribute and Islamic belief on brand image and consumer satisfaction towards Islamic travel packages. Tourism companies should improve and update their package based on the religious perspective to attract Muslim consumers.

While existing research has explored the association between supervisor support and turnover intention among construction workers, there is a notable gap in the literature concerning the potential mediating role of work engagement in elucidating this relationship, warranting further investigation. The paper, hence, aims to examine the mediating role of work engagement in the relationship between supervisor support and turnover intention among construction workers.

Based on the quantitative research method, the hypothesis was tested. The data were collected from 144 construction professionals using a structured questionnaire. Observed variables were tested using confirmatory factor analysis, and the mediating role relationship was validated using hierarchical regression.

The outcome of this study shows a significant positive impact of work engagement and supervisor support on employee turnover intention. The study further showed that work engagement plays a mediating role in the connection between supervisory support and the intention to turnover and improve project and business performance. Turnover intention, on the other hand, negatively affects project and organizational performance.

By enhancing employee work engagement and perceptions of supervisor support, the findings of this study may aid construction organizations in making better judgments regarding the likelihood of employee turnover. The effectiveness of the project and the organization will likely be greatly impacted.

The results of this study provide supporting evidence and advance efforts at reducing employee turnover intention through work engagement and supervisor support in improving project and organizational performance.

This paper aims to analyse the Sharī'ah premises of classical waqf doctrines followed by critically analysing the framework of waqf jurisprudence (fiqh al-awqāf) from a Maqāṣid al-Sharī'ah (the higher objectives of Islamic law) perspective. The objective of examining the jurisprudential framework of waqf from a maqāṣid perspective is to contextualise the scope of dynamism and innovation in the modern waqf structure.

For examining the jurisprudential aspects of classical fiqh al-awqāf with a special reference to Maqāṣid al-Sharī'ah, the paper analyses the classical waqf books and treatises from the four Sunni schools of jurisprudence by employing a textual analysis method.

The paper finds that the key constituents of maqāṣid are interwoven in the classical discourse of waqf rulings. It finds that in deriving the principles of waqf, the jurists ensured that the essentialities of Maqāṣid al-Sharī'ah are subtly intermingled with the necessary components of fiqhī principles. Deconstructing the applied analogical reasoning of the classical jurists in deriving the waqf rulings, this paper provides recommendations for maqāṣid-oriented application of waqf in the modern context.

This study does not cover either the historical contribution of waqf among the Muslim societies nor does it touch on the empirical aspects of modern waqf. Rather, the focus of the study is limited to analysing the classical jurisprudential rulings of waqf and their distillation process from a Maqāṣid al-Sharī'ah perspective. The study has good implication for modern awqāf, which need to be created, managed and directed in the spirit of Maqāṣid al-Sharī'ah.

The key objective of adopting the maqāṣid framework for the analysis of fiqh al-awqāf in its classical permutations is to learn how to utilise the maqāṣid approach as a baseline for the deduction of new waqf rulings in a contextualised term.

The novelty of the paper lies in its examination of the classical waqf rulings distillation process, and the cogent intersection of Maqāṣid al-Sharī'ah with the principles of fiqh. By delving into the Sharī'ah premises of classical waqf jurisprudence through the lens of maqāṣid, the paper adds an original value and fills an existing gap in the available literature.

Modern meat processing requires automation and robotisation to remain sustainable and adapt to future challenges, including those brought by global infection events. Automation of all or many processes is seen as the way forward, with robots performing various tasks instead of people. Meat cutting is one of these tasks. Smart novel solutions, including smart knives, are required, with the smart knife being able to analyse and predict the meat it cuts. This paper aims to review technologies with the potential to be used as a so-called “smart knife” The criteria for a smart knife are also defined.

This paper reviews various technologies that can be used, either alone or in combination, for developing a future smart knife for robotic meat cutting, with possibilities for their integration into automatic meat processing. Optical methods, Near Infra-Red spectroscopy, electrical impedance spectroscopy, force sensing and electromagnetic wave-based sensing approaches are assessed against the defined criteria for a smart knife.

Optical methods are well established for meat quality and composition characterisation but lack speed and robustness for real-time use as part of a cutting tool. Combining these methods with artificial intelligence (AI) could improve the performance. Methods, such as electrical impedance measurements and rapid evaporative ionisation mass spectrometry, are invasive and not suitable in meat processing since they damage the meat. One attractive option is using athermal electromagnetic waves, although no commercially developed solutions exist that are readily adaptable to produce a smart knife with proven functionality, robustness or reliability.

This paper critically reviews and assesses a range of sensing technologies with very specific requirements: to be compatible with robotic assisted cutting in the meat industry. The concept of a smart knife that can benefit from these technologies to provide a real-time “feeling feedback” to the robot is at the centre of the discussion.