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Applying three psychological theories, this study aims to attempt to investigate the role of consumer psychology, specifically the factors of trust in vaccination, threat severity, fear, anxiety, risk and hygiene, and safety, on intention to resume hotel consumption. The authors also tested the mediation effect of anxiety among psychological constructs: perceived threat, fear and risk with the intention to resume hotel consumption.

Using purposive sampling, data were collected from 470 respondents from four cities in Malaysia and analysed by applying analysis of moment structures (AMOS) structural equation model technique. The respondents for this study were frequent travellers meaning the leisure tourists who at least travel twice a year or travel when getting the occasion to explore new things. In this study, an online survey was employed to ensure easy accessibility and to enhance the number of replies.

The results of this study confirmed that perceived severity, risk and fear influence travellers' anxiety. This study further confirms that trust in vaccination and hygiene & safety provided by the hotelier reduces anxiety levels. Anxiety is found one of the most important predictors of intention to resume hotel consumption, which further mediates the relationship between other psychological variables: perceived severity, risk, fear and intention to resume hotel consumption. Anxiety mediates the relationship between perceived severity, fear and intention to resume hotel consumption and partially mediates the association between risk and intention to resume hotel consumption.

This study examined three psychological theories and extended them by including the trust in vaccination and the hygiene and safety constructs. Anxiety was investigated as a mediator.

Contrasted with some other industries, the construction industry has been linked with the most noteworthy accident occurrence rate, the majority of which has been related to poor health and safety practises. This paper therefore sets out to conduct a comprehensive review of the critical success factors that can aid sustainable health and safety practises on construction sites in Malaysia.

The review focussed heavily on published reports, drawn between the years 2000 and 2022. The Scopus database was used for gathering the articles reviewed for this study.

After reviewing various literature studies, a total of 106 critical success factors were identified. All these factors were then categorised under the three pillars of sustainability. A total of 48 factors were grouped under the economic factors, 37 factors were grouped under the social factors and the remaining 21 factors were grouped under the environmental factors.

This paper conducted a comprehensive review of the critical success factors for bridging sustainability and health and safety. This study will help in developing a sustainable health and safety model that can drastically reduce the accident rate on the construction site.

This study aims to offer a new area of discourse by investigating the factors determining the usage of the Islamic non-bank financing product ar-rahnu (Islamic pawnbroking) among women micro-entrepreneurs in Malaysia within the framework of the informal credit market theory.

The study is based on primary data obtained by using self-administered questionnaires distributed in three states in Malaysia: Kedah, Kelantan and Terengganu. The questionnaires were distributed to a total of 750 participants, with each state contributing 250 respondents. Total number of respondents valid for data analysis was however 600.

Based on descriptive and inferential statistics by using the IBM statistical package for the social sciences and structural equation modelling analysis of moment structures, the results show that the main factor influencing women micro-entrepreneurs to use ar-rahnu is the service charge.

This study only covers three states in Malaysia and is limited to examining the use of ar-rahnu by women micro-entrepreneurs in those states.

As micro-entrepreneur s often face constraints to obtaining financial access in the formal credit market, ar-rahnu provides an alternative mode of obtaining business financing to female micro-entrepreneurs, so they can sustain their operations and even expand their businesses. The significance of such factors like service fee, as revealed in this study, indicates that managers should focus on this element when offering Islamic financial products, especially to women micro-entrepreneurs.

The informal credit market theory is frequently used in conventional studies. This paper adds Sharīʿah compliance in the context of this theory as a new area to be considered when discussing Islamic financial products.

The aim of the paper is to analyse the prevalence of corruption in Malaysia since 2004 in relation to political leadership, implementation of anti-corruption measures and the political and business culture based on money politics.

The paper draws from the information and data provided by the Malaysian Anti-Corruption Commission, the Malaysian government, international organisations, media reports, and academic papers.

The paper analyses the perceived extent of corruption in Malaysia by examining how successive governments have dealt with the problem through a wide range of measures. Corruption remains widespread because of ineffective implementation, a culture of money politics based on mutually beneficial crony associations between political actors and business leaders, political interference to frustrate enforcement against corruption offenders, especially prominent personalities, and the mixed impact of corruption prevention measures. The paper concludes that the political and business culture and the nature of political leadership have eroded the political will to combat grand corruption in Malaysia.

This paper builds on previous research on corruption in Malaysia and highlights the combined negative impact of political leadership and a business and political culture that tolerates and espouses corruption, especially through money politics, and the consequent weak political will for tackling grand corruption.

Halal and Islamic tourism is gaining attention in the tourism literature in recent years. This study uses bibliometric analytical techniques to explore all the publications indexed in the Scopus database in the broad subject of Halal and Islamic tourism from 2004 to 2021.

The authors found 238 publications that fit the function, subject and set criteria. The papers were analysed in terms of publication by knowledge area, number of studies published every year, contribution by countries, number of authors and most influential journals. VOS viewer was used to perform a visual analysis on co-occurrence of keywords and document citations.

According to the findings, the Scopus database includes 151 (34.40%) documents on business, management and accounting, and 89 (20.27%) documents on social science. It was reported that 29 documents were published in 2018, followed by 54 documents in 2019 and 56 documents in 2021. Malaysia has contributed 86 documents on Islamic tourism, whereas Indonesia has contributed 64 documents. The paper also discusses other interesting findings.

The bibliometric analysis carried out was confined to Scopus data. Other national and international databases were not taken into account for this research.

Between 2004 and 2021, this study examined relevant studies on Halal and Islamic tourism. The study presents a concise review of the literature accessible to researchers working in this area and provides recommendations for future research.

Tourism on wellness is a rapidly expanding segment of the travel industry; nevertheless, it is still in its infancy, and more study research is needed to develop a scientific foundation for health and wellness tourism. The study uses bibliometric indicators like as citations to determine the field structure on wellness tourism from 1998 to 2021, and the VOSviewer software to map the significant trends in wellness tourism (WT) area, to examine the present situation.

To reach this objective, the theme of “wellness tourism” was searched in the “Scopus” database, and bibliometrics data on the publications were obtained. In total, 414 papers were found during the initial search, which was then narrowed according to the criteria. Using this strategy, the author discovered 386 records, and after removing 4 duplicates and 1 irrelevant document, the refining produced 381 related documents. The most-cited papers, significant authors, co-citation of references, sources and authors were all investigated for the publications related to WT.

According to this report, research into wellness tourism has increased in recent years. The authors discovered two papers with over 238 “Scopus” citations and a total of 10 studies with 1414 citations. According to Scopus, the document Napier et al. receives 36.5% of citations each year. There were a total of 804 authors who published about WT between 1998 and 2021, with Smith, M, Voigt, c, and Puczkó, L being the most-cited reference authors in the subject. Han h. has the highest index of 56 of all the authors.

The “Scopus” database was used for bibliometric analysis, although the VOSviewer was used exclusively. This considered as a first study to utilize a bibliometric method to address this research gap, identifying the tools, journals, and, most crucially, conceptual subdomains like spa, yoga, therapy, spirituality and trekking that will be significant in future research.

Using a bibliometric analytic approach, this article looked at papers on wellness tourism published between 1998 and 2021. Thus, its goal is to learn more about wellness tourism and to enlighten wellness tourism scholars on the field's structure.

The purpose of this paper is to propose a process mining approach to help in making early predictions to improve students’ learning experience in massive open online courses (MOOCs). It investigates the impact of various machine learning techniques in combination with process mining features to measure effectiveness of these techniques.

Student’s data (e.g. assessment grades, demographic information) and weekly interaction data based on event logs (e.g. video lecture interaction, solution submission time, time spent weekly) have guided this design. This study evaluates four machine learning classification techniques used in the literature (logistic regression (LR), Naïve Bayes (NB), random forest (RF) and K-nearest neighbor) to monitor weekly progression of students’ performance and to predict their overall performance outcome. Two data sets – one, with traditional features and second, with features obtained from process conformance testing – have been used.

The results show that techniques used in the study are able to make predictions on the performance of students. Overall accuracy (F1-score, area under curve) of machine learning techniques can be improved by integrating process mining features with standard features. Specifically, the use of LR and NB classifiers outperforms other techniques in a statistical significant way.

Although MOOCs provide a platform for learning in highly scalable and flexible manner, they are prone to early dropout and low completion rate. This study outlines a data-driven approach to improve students’ learning experience and decrease the dropout rate.

Early predictions based on individual’s participation can help educators provide support to students who are struggling in the course.

This study outlines the innovative use of process mining techniques in education data mining to help educators gather data-driven insight on student performances in the enrolled courses.

Many studies have illustrated the vast advantages which blended learning has to offer to the learning community. However, when a learner accesses a digital platform, one cannot ignore the negative repercussions which the learner would be subjected to in the process. Our study tries to analyze the negative repercussions of digital media distractions on their wholistic development.

Information pertaining to the use of digital media among students for blended learning and the consequent distractions faced by them in the process was elicited through a well-structured questionnaire from pre-university and university students. The PLS-SEM model was constructed to identify the effect of digital distractions on students' academic performance, outlook of life and health, keeping counseling and spiritual inclination as moderating variables.

From our research, we inferred that the students' time spent on a digital platform was directly related with their time spent on blended learning and their tendency to get distracted. However, they were more prone to e-distractions than e-learning. Furthermore, e-learning did not enhance their academic performance. However, distractions had significant negative repercussions on their mental health. Counseling that the students were getting in their educational institutions did not play any significant role in improving their mental health.

Studies which have been undertaken to analyze the negative repercussions of blended learning on the wholistic development of students are scarce. Given the increasing popularity of blended learning among South Asian students in recent times, our study has tried to bridge this gap.

The objective of the paper is to explore and evaluate practical accounting education to find its weaknesses and suggest avenues to build strengths which will provide the market with effective accountants from the universities (the primary source of accountants).

The study uses semi-structured interviews to understand and extract the study problem and build the questionnaire; the final step is to analyse and interpret the questionnaire results based on structured interviews, dividing the research community into professors and market elements, business managers and university graduates.

The market has provided a negative evaluation of practical education. Reasons include a shortage of instructors with professional experience; curriculums that lack the topic of professional and ethical skills; and internships if provided, with unsatisfactory results. The study suggests accounting simulation labs as a reasonable substitution for the placement year (internship) if the labs are qualified and the internship results unsatisfactory.

This article is based on a multiregional research community, making results transferable to any country that faces a lack of professional accounting education. The applied evaluation method is capable of use by any other field in the business industry since accounting is part of this industry.

The purpose of this research is to study the relationship between exchange rate fluctuations and stock market returns of the seven highest economic performing emerging countries (E7).

The study is conducted using the daily data for exchange rates and stock market returns in each of the E7 countries from January 1, 2019, to January 1, 2022. The study employs the ordinary least squares, autoregressive distributed lag error correction regression and generalized autoregressive conditional heteroskedasticity (GARCH (1,1)) regression models to fully investigate the impact of exchange rate on stock markets. For further investigation, the GARCH (1,1) model is run twice for each country with and without the inclusion of exchange rate to determine its effect on the volatility of stock returns.

The findings support the presence of cointegration relationship between the variables for all countries. The results reveal significant positive long-run relationship between exchange rates and stock market returns in all countries except for Indonesia, which evidenced a significant negative impact. The results of the GARCH (1,1) add that the inclusion of exchange rate in the model accounts for a slight change in the volatility of stock returns.

The research provides empirical evidence that appreciating currencies are perceived positively by investors leading to better performing capital markets. The outcomes of this study may assist policy makers in understanding to what degree changes in exchange rates can influence capital markets, as well as narrow the gap in literature regarding which theory is more relevant in explaining how exchange rate fluctuations impact market values.