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This study aims to examine the moderator effect of religiosity on the relationship between halal brand awareness and habit towards purchasing decisions of halal products.

The quantitative method is used in this study. Descriptive and statistical (multiple and moderated regression) analyses are employed to test the hypothesis according to the research model. The data is collected using a cross-sectional design from 197 respondents consisting of business owners in North Sumatera, Indonesia.

It is found that both halal brand awareness and habit have a positive and significant effect on the purchasing decision of halal products. Meanwhile, religiosity significantly acts as a moderating variable in the relationship between awareness and purchasing decisions, as well as habit and purchasing decisions.

This study revealed the important factor of religiosity as a moderating factor in purchase decisions of halal products. The government may need to collaborate with Islamic educational institutions to raise awareness of the halal concept and product awareness. It is assumed that individuals who know about the Islamic religion will have a higher degree of awareness of halal products compared to individuals with limited knowledge of Islam; thus, providers of Islamic education play a crucial role in raising the level of awareness of halal products. Schools may serve as catalysts for the dissemination of knowledge of halal products.

Developing halal product markets can be done by enhancing the religiosity level of consumers, one of them through attending formal or informal religious classes.

This study aims to explore and assess the key Sharīʿah governance factors that may have an influence on the internal Sharīʿah audit structure and its practices in Islamic financial Institutions in Yemen, particularly in the Islamic banking sector.

To do so, the study adopts a qualitative approach employing case study analysis, and both primary and secondary data are used to formulate the appropriate interview questions and achieve the objectives of the study.

The authors observed that the key factors that help in assessing the internal Sharīʿah audit structure and its practices are Sharīʿah auditor charter, audit plan and audit manual. In addition, the authors observed that, in general, internal Sharīʿah audit tends to be subjective in Yemeni banks because they depend on the internal Sharīʿah auditor’s qualifications and experience more than formal guidelines and regulations. This is because there are no detailed internal Sharīʿah audit plans or detailed audit manual. Moreover, the internal Sharīʿah auditor charter is not comprehensive in explaining the duties required of the internal Sharīʿah auditor, and it is mixed with the Sharīʿah Supervisory Board (SSB) duties. This means the internal Sharīʿah auditor lacks the critical tools that enable him to achieve the desired audit manual objectives where the effectiveness of internal Sharīʿah audit can be measured.

One of the important implications of this study is providing very important guidance about enhancing the areas where shortfalls are found within the Sharīʿah governance process in the Yemeni banking system. This enhancement process of the internal factors of Sharīʿah governance can be achieved by increasing the awareness of the enhancing internal Sharīʿah audit structure as it reflects ultimately on the internal Sharīʿah auditor’s role and his practices.

Understanding the effectiveness of internal Sharīʿah audit structure among internal auditors will improve the Sharīʿah audit framework standards, enhance the Sharīʿah knowledge among internal auditors and provide general guidelines to design audit programmes for Sharīʿah governance auditing process.

Qualified immigrants (QIs) and their work experiences have been studied using a wide variety of theoretical approaches with divergent characteristics. This paper reviews theoretical progress and proposes directions for future research and practice.

Using relevant keywords, articles indexed by Web of Science in management, business, industrial relations and applied psychology were systematically searched for and analysed. In total, 60 theoretical articles published during 2008–2018 were included. The theoretical progress and future theoretical and practical challenges were organised based on the notions of equality, diversity and inclusion.

Eight theoretical approaches utilised to study QIs' work experiences were recognised: (1) human capital theory, (2) career capital theory, (3) theory of practice, (4) intersectionality, (5) social identity theory, (6) sensemaking, (7) cultural identity transition and (8) the career-centred approach. The contributions and limitations of each theoretical lens were then scrutinised. Overall, research on QIs still lacks a comprehensive theoretical framework. As a step towards that, the paper proposes considering the role of organisations and labour market intermediaries, strategic view over the immigrant workforce, agency–institution play, identity–capital play and host–immigrant play.

The focus is on theory development and empirical papers with no clear theoretical foundation are excluded.

This review is the first attempt to summarise and direct the divergent research on the topic. The main contribution is setting an agenda for future research, particularly by proposing the elements of a comprehensive theoretical framework for studying QIs in the workplace.

Diagnosing brain tumors is a process that demands a significant amount of time and is heavily dependent on the proficiency and accumulated knowledge of radiologists. Over the traditional methods, deep learning approaches have gained popularity in automating the diagnosis of brain tumors, offering the potential for more accurate and efficient results. Notably, attention-based models have emerged as an advanced, dynamically refining and amplifying model feature to further elevate diagnostic capabilities. However, the specific impact of using channel, spatial or combined attention methods of the convolutional block attention module (CBAM) for brain tumor classification has not been fully investigated.

To selectively emphasize relevant features while suppressing noise, ResNet50 coupled with the CBAM (ResNet50-CBAM) was used for the classification of brain tumors in this research.

The ResNet50-CBAM outperformed existing deep learning classification methods like convolutional neural network (CNN), ResNet-CBAM achieved a superior performance of 99.43%, 99.01%, 98.7% and 99.25% in accuracy, recall, precision and AUC, respectively, when compared to the existing classification methods using the same dataset.

Since ResNet-CBAM fusion can capture the spatial context while enhancing feature representation, it can be integrated into the brain classification software platforms for physicians toward enhanced clinical decision-making and improved brain tumor classification.

This research has not been published anywhere else.