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This chapter aims at examining financial distress issue by designing a comprehensive model to explain and predict financial distress in Egypt. This comprehensive model incorporates accounting ratios, market-based ratios and macroeconomic ratios. The sample of the existing research includes all the listed firms in two main sectors: basic resources and chemicals. Using logistic regression model, the results showed that adding market ratios and macroeconomic ratios enhances the predictability of the model and accounting information are not sufficient to explain financial distress.

A pattern of personal intelligence is seen emerging from the concept of agent-mediated personal knowledge management (PKM) in achieving collective organisational goals. The purpose of this paper is to present the results of surveys undertaken to prove this emergence.

A quantitative analysis supported by a qualitative analysis was conducted across three main industries in Malaysia, namely manufacturing, service and education. The triangulation of analysis is based on the four proposed hypotheses.

From these analyses, it was discovered that the emergence of personal intelligence is embedded within the collaborative interactions amongst software agents, and between agents and human knowledge workers. All the hypotheses are supported by the results of the surveys which manifest organisational knowledge management (OKM) practices as a consequence of the agent-mediated PKM processes.

This research focused on the PKM in Malaysia, where the level of KM implementation varies among the organisations. The results may not reflect other developing countries due to the socio-cultural differences amongst the knowledge workers.

The results from this paper can be used either to relook and reanalyse the existing organisational KM system or to plan and design a KM system for organisations that have not implemented any.

The focus on personal intelligence and agent-mediated PKM contribute to further development of agent-based system that animates these theories in the real working environment.

This study developed a model for the mediation role of satisfaction on Jaiz bank products and services as an alternative way of improving customer’s subjective experiences of banking in Nigeria.

This paper adopted structural equation modelling’s confirmatory factory analysis with three-factor theory. Composite reliability, average variance extracted and discriminant validity were used to test the validity and reliability of data collected from a sample of 345 participants comprising senior, middle and lower-income earners. Also, descriptive statistics and independent analysis of variance were used for the analyses.

This paper provides insights into how Jaiz bank products and services will significantly improved the social lifestyle of Nigeria. Findings also indicates how context-specific Islamic bank products and services are embedded in the social ordering of communities in Nigeria and thus facilitate a more satisfactory and productive experience of customers.

Findings from the study provide insight and inform managers in making an informed decision on the products and services offered to a section of the popular, where strategic and analytical insights could strengthen different segments of the banking system in Nigeria. This study emphasises the significance of Islamic banking within the specific context of Nigeria, and also has an obvious theory and management implications.

It is hard to find a research paper discussing the mediation role of customer’s satisfaction on Jaiz bank products and services in improving the social lifestyle of Nigerians. This study provides a model that can be adopted in analysing products and services of Islamic banks based on customer’s satisfaction.

Monitoring corporate credit risk (CCR) has traditionally relied on such indicators as income, debt and inventory at a company level. These data are usually released on a quarterly or annual basis by the target company and include, exclusively, the financial data of the target company. As a result of this exclusiveness, the models for monitoring credit risk usually fail to account for some significant information from different sources or channels, like the data of its supply chain partner companies and other closely relevant data yet available from public networks, and it is these seldom used data that can help unveil the immediate CCR changes and how the risk is being propagated along the supply chain. This study aims to discuss the a forementioned issues.

Going beyond the existing CCR prediction data, this study intends to address the impact of supply chain data and network activity data on CCR prediction, by integrating machine learning technology into the prediction to verify whether adding new data can improve the predictability.

The results show that the predictive errors of the datasets after adding supply chain data and network activity data to them are made the ever least. Moreover, intelligent algorithms like support vector machine (SVM), compared to traditionally used methods, are better at processing nonlinear datasets and mining complex relationships between multi-variable indicators for CCR evaluation.

This study indicates that bringing in more information of multiple data sources combined with intelligent algorithms can help companies prevent risk spillovers in the supply chain from causing harm to the company, and, as well, help customers evaluate the creditworthiness of the entity to lessen the risk of their investment.

The purpose of this study is to examine the drivers and barriers of travel behavior associated with tourist behavior during/post-COVID-19 pandemic to provide a knowledge base as well as an agenda for future research.

The authors utilized the Systematic Literature Review (SLR) technique for searching the articles published in Web of Science (WOS) and Scopus, to identify the main drivers and barriers affecting the tourist behavior during/post-COVID-19 pandemic. Eventually, 47 articles were chosen for the final analysis.

The findings are reported in three sections, (1) quantitative research profile, (2) qualitative synthesis and (3) future agenda. This study addresses the nuanced questions regarding the significant change in tourist travel behavior, emotional dynamics and a detailed understanding of mechanisms, such as which drivers and barriers affect tourist behavior in a particular destination. Drivers and barriers to tourist travel behavior were characterized in personal-related, destination-related, and health-related factors. Moreover, this study provides thought-provoking ideas in theory, policy and practice in the field of tourism and hospitality.

This study has three limitations, as follows. First, the authors searched only two databases, Scopus and Web of Science, due to which the authors might be missing some related studies existing on the other databases. Although these databases provide an extensive range of academic literature, further studies could extend the data collection from the other databases (e.g. via Taylor & Francis). However, our systematic literature review (SLR) coverage is quite extensive, since journals are listed on these three main databases. Second, the authors followed a main study search protocol based on the synonyms and related keywords, however, some of the studies that may be related to the tourist behavior towards the destination are missing on account of the lack of our keywords in there, title, author, keyword and abstract. Furthermore, future research could endeavor to add other keywords to expand the results of studies. Third, although the accurate analysis was conducted to reduce subjectivity in identifying themes for drivers and barriers of tourist behavior, future studies on categorization could work to ensure that other sub-themes categorize.

The recent study has some key practical implications. First, this study is valuable for all the stakeholders in a unique way, including destination managers, academicians and policymakers, because it provides insight into barriers and drivers that influence the development of tourist behavior towards the destination. Second, the current study also offers practical implications for people involved in tourism service industries including governments and private businesses. Policymakers and other leaders are increasingly interested in harnessing the economic potential of tourism. Therefore, identifying the barrier which is inhibiting the tourist traffic towards the destination is beneficial to understand and effectively develop strategies to minimize the effect of such factors. Moreover, drivers and barriers of tourist behavior towards the destination in the COVID-19 pandemic situation towards the destination may help to create a framework for the development of destinations according to the current vulnerable situation. Third, current findings suggest that tourism marketers understand the drivers and barrier constructs found in this study and tailor their marketing strategies for attracting existing and new tourists. For instance, marketers should understand the drivers and barriers of tourist behavior for effective strategy development to increase the positive effect of drivers and to reduce the negative effect of barriers.

This is the first systematic literature review on the impact of drivers and barriers of tourist travel behavior. This paper analyses the methods and approaches that have been used in the previous literature to examine the drivers and barriers of tourist travel behavior. The paper ends with the research implication and limitations of the studies.

This study aims to compare the nexus between donations to Islamic and conventional microfinance institutions (MFIs) and their credit risk, financial performance and social outreach.

The authors use fixed effects and two-step system generalized methods of moments models with internal instrumentation. The analysis is conducted on an international sample of 1,519 MFIs in 55 countries during 1999–2019.

Islamic MFIs receiving greater donations experience an increase in credit risk, whereas the opposite occurs among their conventional counterparts. Donations are associated with an improvement in the depth of outreach of Islamic MFIs, allowing them to serve a poorer client base, despite a simultaneous decline in the breadth of their outreach. On the other hand, donations improve both the depth and breadth of conventional MFIs outreach. Donations also exhibit a positive relation with productivity, efficiency and sustainability in conventional MFIs.

This paper addresses a gap in the literature on Islamic MFIs and their use of donor funds by examining how donations contribute to the quality of their credit portfolios, financial performance and social outreach. This study used Ahmed’s (2012, 2017, 2020, 2021) total factor productivity model to capture the impact of donations on the performance of MFIs.

Donations are found to contribute to positive financial inclusion outcomes for both Islamic and conventional MFIs, a promising implication for society and donors alike.

This paper addresses a gap in the academic literature on Islamic MFIs and their use of donor funds by examining how donations contribute to the quality of their credit portfolios, financial performance and social outreach.

The purpose of this paper is to discuss how the current research on the Islamic financial services industry attempts to classify its consumers and provide a fresh and critical insight into the retail Islamic banking market segmentation to harness and enhance understanding, as well as provide a guideline for a better segmentation to bank marketers.

This study is conceptual in nature. Based on Qur’anic verses and previous literature, the authors aim to propose an applicable model of market segmentation for the retail Islamic banking market in Malaysia. Consumer segmentation in the conventional financial service industry is analysed, and prior studies on the selection criteria of Islamic banks are evaluated.

In moving forward, taking cue from the classification of people in classical doctrinal and historical literature and the initial exploratory study conducted from the managerial perspective, the authors propose five cluster groups of consumers for the retail Islamic banking market in Malaysia, namely, religious conviction, religious and economic rationality, economic rationality, ethical observant and economic rationality and ethical observant. A discussion linking consumer segmentation to the branding in the retail Islamic banking market is discussed.

The five cluster groups of consumers for the retail Islamic banking market in Malaysia proposed in this study pave the way for embarking on promising and relevant future research, which is needed to substantiate and enrich the academic understanding and managerial practice of linking market segmentation and brand positioning for Islamic banking market in Malaysia. Future research should focus on verifying the five proposed segments by conducting empirical studies on a larger scale among the retail banking consumers in Malaysia and globally.

The study provides an initial bases or dimensions of consumers of the retail Islamic banking market in Malaysia. The proposed consumers segments are useful in guiding the management of Islamic bank in Malaysia in making decisions relating to the promotion strategy as well as product and brand positioning strategy.

For both academia and the Islamic banking industry, this study provides useful knowledge in strategically using market segmentation to position Islamic banking products and services in Malaysia and the global market.

This study aims to present research evidence on the relevance of online gamification flip learning as a pedagogical instruction in promoting learning engagement when college students are impacted by the coronavirus pandemic. In this study, a gamified formative assessment was used to examine learner engagement and to evaluate the effectiveness of gamification within a synchronous online flipped instruction.

A multiphase mixed methods research design was used for this study. The evaluation relied on triangulated evidence gathered through questionnaire surveys and semi-structured interviews administered at an Indonesian college setting.

Based on the findings, gamified learning and formative assessments that adopt online flipped approaches have shown a positive bearing on learner engagement, despite the challenges learners face while harrowing through times of calamity. The results of this study provide prima facie support for the claim that the use of interactive gamified e-quizzes proves to be an innovative means of stimulating student engagement during the online class.

The results further suggest that a learning framework that incorporates both online flipped and gamification techniques provide the stimulus that is likely to forge an emotional connection that can inspire learner engagement, much needed when learners rally through calamitous events. This study has established evidential links between gamification and flipped classroom instructional delivery, particularly for online class settings. It is well-anticipated that gamification flip learning can continue to be implemented either in online, blended or face-to-face class instruction and particularly after the time of the pandemic.

This paper aims to provide an overview of research topics and publications produced by Islamic Finance scholars in Malaysia, focusing on six research domains (Shariah-based, Islamic Finance, Islamic Economics, Islamic Accounting, Islamic Management and Halal Management) in five public universities in Malaysia.

This study seeks to analyse the research gaps and recommend future research based on publications produced by Islamic Finance scholars from five public universities in Malaysia. Data on talents were collected from the MIFER report 2016 and each universities’ website, while research and publications of the talents were collected from Google Scholar and the Scopus database. The extracted data were analysed using bibliometric analysis in VOSviewer version 1.6.15.

The results show that the five selected universities talents have different research strengths according to six research domains highlighted in MIFER 2021 and Beyond Report. All five universities are found to contribute the least research in Halal Management domain. In view of the increasing prominence of this area of research in the national and international levels, these universities and other universities in Malaysia can generate more research in Halal Economy, Halal Management, and other related areas within this domain. The finding indicated that each university tends to have a strength according to the different domains, and 2019 is the most productive year for Islamic Finance publications. Analysis from productive scholars and co-citations shows that the authors collaborate within the same university to create a different topic for each research cluster.

The bibliometric analysis only captures the general keyword terms, which may be limited to the only generalised sub-research areas.

This bibliometric study, which is based on the expertise of researchers, complements meta-analysis, and qualitative structured literature reviews aid researchers or talents in developing future research directions such as Green economy, Cryptocurrency, Fintech, Halal Management and others. In addition, this is a case study in nature and can serve to enhance understanding the landscape of Islamic finance education and as a reference for practices in institutions of higher learning from around the world.

To the best of the authors’ knowledge, this study is a new research initiative comparing five top programme providers in the field of Islamic finance using a bibliometric approach to enhance talent development and capacity building. With the government’s efforts to further promote Malaysia as the Islamic Financial Hub, this study highlights the research gap in Islamic finance based on scholars’ publications from selected five Malaysian universities and potential topics for future research. This study focuses on the research domain for each university, the trend of publishing, the number of journals published by academics, productive scholars and citations by Malaysian universities, and examines if the publications align with current industry needs.

This study aims to construct a scale and identify the factors that might affect the implementation of gamification and Bloom's Digital Taxonomy-based assessment of students' learning, guided by the Goal-Setting Theory.

This study used a sequential exploratory mixed-methods design where data were collected qualitatively via interviews (n = 18) and field notes. Quantitative analysis was then applied via questionnaires (n = 96).

Four major themes emerged following thematic analysis of the observation notes and interview data: learning engagements; understandable learning goals; friendly competitions; and interactive learning feedback. A scale consisting of 32 items was developed based on the qualitative data. The quantitative data were then collected to evaluate the scale's factor structure using maximum likelihood exploratory factor analysis with Promax factor rotation. The final version of the scale had 29 items. The authors verified the alpha coefficients for each element and the entire hierarchy, ranging from 0.94 to 0.98 for the factors. The total scale was determined to be 0.96, and the Item Content Validity Index was considered valid.

The scale developed in this study is expected to inform future research and guide educators who wish to incorporate contemporary digital pedagogies in a different context. This study could also be beneficial to researchers who aspire to perform research on Goal-Setting Theory in the educational context.