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Interest in the Electronic Word-of-Mouth (eWOM) in connection with tourism is constantly growing not only among consumers but also among theoreticians. Therefore, the objective of this chapter is to provide an overview of studies that focus on eWOM in the tourism sector using the snowball method. The article is based on a review of the literature of 60 studies that focus not only on consumer behavior in tourism and the impact of eWOM on tourism supply but also on the impact of hotel managers' responses to other consumer behavior and tourism companies. The results of the studies show that eWOM has a significant impact not only on consumer behavior but also on tourism supply. Manager responses can also strongly affect other consumer behavior in decision-making. When eWOM is distributed, consumers are influenced by their emotions, motives, and also by the websites to which they have decided to contribute. The chapter proposes further research areas for different authors.

The purpose of this study is to gather the perceptions of the Shari'ah committee members on what and how they safeguard and strengthen their independence in fact and independence in appearance during the discharge of their duties.

Data were gathered through semi-structured interviews with 13 Shari'ah committee members from 13 different Islamic financial institutions (IFIs).

Based on the Islamic worldview and agency theory, the findings suggest that safeguard measures within the context of the Shari'ah committee are strengthened by the following factors: presence of competencies, personal characteristics of the Shari'ah committee members, board engagement, role of the chairman in the Shari'ah committee and accountability to God. Based on the agency theory, it can be suggested that the characteristics of the Shari'ah committee and the presence of an effective governance structure are able to minimise threats to the independence of the Shari'ah committee and enhance its effectiveness.

The insights from this study highlight that proper and fit criteria need to be enhanced to ensure the independence of the Shari'ah committee members when performing their roles for IFIs. Moreover, it shows that board engagement and chairman involvement in overseeing the Shari'ah committee in the discharge of its duties is able to improve the independence of the Shari'ah committee both in fact and in appearance.

This study contributes to the evidence on safeguard measures in the Malaysian context, which is highly regulated in relation to the Shari'ah governance practices in IFIs. This evidence could be considered by other Shari'ah committees in different contexts.

Financial health of a corporation is a great concern for every investor level and decision-makers. For many years, financial solvency prediction is a significant issue throughout academia, precisely in finance. This requirement leads this study to check whether machine learning can be implemented in financial solvency prediction.

This study analyzed 244 Dhaka stock exchange public-listed companies over the 2015–2019 period, and two subsets of data are also developed as training and testing datasets. For machine learning model building, samples are classified as secure, healthy and insolvent by the Altman Z-score. R statistical software is used to make predictive models of five classifiers and all model performances are measured with different performance metrics such as logarithmic loss (logLoss), area under the curve (AUC), precision recall AUC (prAUC), accuracy, kappa, sensitivity and specificity.

This study found that the artificial neural network classifier has 88% accuracy and sensitivity rate; also, AUC for this model is 96%. However, the ensemble classifier outperforms all other models by considering logLoss and other metrics.

The major result of this study can be implicated to the financial institution for credit scoring, credit rating and loan classification, etc. And other companies can implement machine learning models to their enterprise resource planning software to trace their financial solvency.

Finally, a predictive application is developed through training a model with 1,200 observations and making it available for all rational and novice investors (Abdullah, 2020).

This study found that, with the best of author expertise, the author did not find any studies regarding machine learning research of financial solvency that examines a comparable number of a dataset, with all these models in Bangladesh.

The purpose of this paper is to measure the technical inefficiency of dairy farms and subsequently investigate the factors affecting technical inefficiency in the Malaysian dairy industry.

This study uses multi-directional efficiency analysis to measure the technical inefficiency scores on a sample of 200 farm observations and single-bootstrap truncated regression model to define factors affecting technical inefficiency.

Managerial and program inefficiency scores are presented for intensive and semi-intensive production systems. The results reveal marked differences in the inefficiency scores across inputs and between production systems.

Intensive systems generally have lowest managerial and program inefficiency scores in the Malaysian dairy farming sector. Policy makers could use this information to advise dairy farmers to convert their farming system to the intensive system.

The results suggest that the Malaysian Government should redefine its policy for providing farm finance and should target young farmers when designing training and extension programs in order to improve the performance of the dairy sector.

The existing literature on Southeast Asian dairy farming has neither focused on investigating input-specific efficiency nor on comparing managerial and program efficiency. This paper aims to fill this gap.

The purpose of this study is to adopt quantile regression to investigate the impact of several factors on per capita income of participants of micro-financing scheme (Amanah Ikhtiar Malaysia [AIM]), who are mostly women at different point on the income distributions.

This study uses data collected from a survey on respondents who are the participants of AIM program using convenience sampling in Perak and Kelantan.

The empirical results show that the value of asset, value of loan, household size, ratio of spending to income and dummy state are consistently giving similar impacts on per capita income of participants at different quantiles.

However, age negatively and significantly affects per capita income only at middle and lower quantiles but not at higher quantile of per capita income.

This paper aims to investigate the extent to which maṣlaḥah (public interest) is taken into consideration in Islamic banking operations in Malaysia, particularly in bayʿ al-ʿīnah (sale and buyback), taʿwiḍ (compensation) and ibrāʾ (rebate).

This study applies deductive and inductive methods to analyze the application of maṣlaḥah in Islamic financial transactions. Three issues in Malaysia are selected as a case study, allowing bayʿ al-ʿīnah, standardizing the rate of taʿwiḍ and stipulating the ibrāʾ clause in financial agreements. As this study is qualitative in nature, all data are analyzed based on the content analysis method.

Both the maṣlaḥah of Islamic banks and their customers were found to be considered by the Central Bank of Malaysia in the implementation of contracts and principles of Islamic banking. The first maṣlaḥah represents the viability of Islamic banks, while the second maṣlaḥah promotes fairness and transparency between Islamic banks and their customers.

This study only focuses on the contracts and principles of Islamic banking operations in Malaysia with regard to three selected issues.

This paper clarifies the practical application of maṣlaḥah in the Islamic banking industry, particularly with regard to implementing its contracts and principles.

This paper analyzes the argument of maṣlaḥah on the issues of bayʿ al-ʿīnah , taʿwiḍ and ibrāʾ in Malaysia, which are considered among scholars to be debatable issues. While many discussions focus on the legal aspect of Sharīʿah on those issues, this study emphasizes how the application of maṣlaḥah aims to solve the current problems and harmonize between Sharīʿah and reality.

This study investigates the effect of COVID-19 pandemic perceived health risk on traveller's post-pandemic perception and future travel intention. The study aims to provide insight into the unprecedented COVID-19 pandemic and its potential influence on tourist behaviour.

Two hundred and forty-four responses were gathered quantitatively through an online survey. The research hypotheses were analysed using the partial least square structural equation modelling (PLS-SEM).

This study found that COVID-19 affects tourists' travel behaviour. Key findings found that perceived health risk discourages travel attitudes and eventually lessens their future travel intentions. Results also suggest future strategies/directions for restarting the tourism industry.

The study outcome assists tourism stakeholders in understanding the changes in tourist behaviour amid the heightened perceived health risk of COVID-19. Tourism policymakers and industry players should consider exploring how to mitigate similar health crises in the future.

By extending the theory of planned behaviour (TPB), this study establishes a theoretical framework in exploring the interrelationships between perceived risk, post-pandemic perception and future travel intention. This study sets a significant research agenda for future tourism research in understanding the mechanism behind health risk perceptions and tourist behaviour.

This study investigates the relationship between leaders' ethical behaviors and internal whistleblowing among hotel employees through the mediation role of organizational virtuousness. According to the conceptual framework, ethical leadership creates a virtuous workplace and encourages whistleblowing.

A survey approach with responses of 442 employees from Egyptian five-star hotels was used. Structural equation modeling (SEM) was used to test the hypotheses proposed based on leader–member exchange (LMX) and ethical leadership theories.

Ethical leadership has a favorable impact on organizational virtuousness and, as a result, has a significant impact on whistleblowing intention. The ethical leaders–subordinates' intents to whistleblow association partially mediated organizational virtuousness. To assist them in reporting ethics violations, most hotel employees require organizational characteristics, such as organizational climate and psychological empowerment, in addition to individual characteristics, such as moral bravery and ethical efficacy.

The conceptual framework of this paper adds a new guide for future research related to the hospitality literature, which is how employees' intent to internal whistleblowing. As such, senior management should serve as a moral role model for hotel employees, inspiring them to be moral and allowing them to participate in decision-making.

本研究擬透過組織德行所扮演的仲介角色，去探討領導者的道德行為與酒店員工間內部舉報的相互關係。根據有關的概念框架，領導倫理會為機構創造一個富有道德的工作場所，以及鼓勵員工互相舉報不當的行為。

研究採用調查方法進行，數據來自442名於埃及五星級酒店工作的僱員的回覆。研究人員以結構方程模型來測試研究的假設 － 研究的假設乃根據領導者－成員交換理論和倫理型領導理論而提出的。

領導倫理會給組織美德帶來積極的影響，因此，領導倫理也會給舉報動機帶來重要的影響。領袖－下屬舉報合夥人合乎道德的動機，對組織美德起著仲介作用。若要酒店僱員舉報違反道德規範的行為，除了僱員須有個人特質、如道德勇氣和倫理效能等之外，酒店亦須具備一些組織特徵、如組織氛圍和心理賦權等。

本研究的概念框架，給探討僱員作內部舉報行為的動機的學者提供新的指引，為餐旅業的研究提供方向。組織的高級管理人員應以身作則，為僱員建立道德典範，鼓勵他們遵循道德規範而行事，並容許他們參與決策。

This study aims to explore the associations between emotional intelligence (EI), organizational justice (OJ) perceptions and work outcomes. The study proposes a model where EI is linked to job satisfaction and turnover intentions through the three dimensions of organizational justice.

In all, 556 employees in the Malaysian service sector were used as samples for this study. Analysis was performed using SPSS and AMOS structural equation modelling (SEM) path analysis to test the study’s hypotheses.

Results indicate that EI had a significant direct effect on all organizational justice sub-dimensions (distributive, procedural and interactional justice) as well as on job satisfaction and turnover intentions. However, only distributive justice was found to partially mediate the relationship between EI, job satisfaction and turnover intentions.

This study provides further insights into the mechanisms through which trait EI impacts service sector employee workplace attitudes. It also investigates the role of trait EI in deciphering why employees may differ in their OJ perceptions and deepens understanding of the discrete roles that organizational justice sub-dimensions perform.