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The purpose of this paper is to propose an approach that integrates three complementary perspectives, multi-agent systems, fuzzy logic and case-based reasoning. Unsatisfied customers, information overload and high uncertainty are the main challenges that are faced by today’s supply chains. In addition, a few existing agent-based approaches are tied to real-world supply chain functions like supplier selection. These approaches are static and do not adequately take the qualitative and quantitative factors into consideration. Therefore, an agent-based framework is needed to address these issues.

The proposed approach integrates three complementary perspectives, multi-agent systems, fuzzy logic and case-based reasoning, as a common framework. These perspectives were rarely used together as a common framework in previous studies. Furthermore, an exploratory case study in an office furniture company is undertaken to illustrate the value of the framework.

The proposed agent-based framework evaluates supply offers based on customers’ preferences, recommends alternative products in the case of stock-out and provides a collaborative environment among agents who represent different supply chain entities. The proposed fuzzy case-based reasoning (F-CBR) approach reduces the information overload by organizing them into the relevant cases that causes less overall search between cases. In addition, its fuzzy aspect addresses the high uncertainty of supply chains, especially when there are different customers’ orders with different preferences.

The present study does not include the functions of inventory management and negotiation between agents. Furthermore, only the case description and case retrieval phases of the case-based reasoning approach are investigated, and the remaining phases like case retaining, case reusing and case revising are not included in the scope of this paper.

This framework balances the interests of different supply chain structural elements where each of them is represented by a specific agent for better collaboration, decision-making and problem-solving in a multi-agent environment. In addition, the supplier selection and order gathering mechanisms are developed based on customers’ orders.

This study aims to examine the relationship of work–family demands with employees’ well-being, and the role of management/supervisory support in this relationship. The following hypotheses were proposed: work–family demands would be negatively related to employees’ well-being; management/supervisory support would moderate the relationship of work–family demands with employees’ well-being.

The researchers used 250 working female academicians as respondents, working in the research universities in Kuala Lumpur, Malaysia. Their ages ranged from 30 to 60 years.

The findings of the present study proved that the work–family demands were negatively associated with employees’ well-being. Results also revealed that management and supervisory support strengthens the relationship between work–family demands and employees’ well-being. Thus, management and supervisory support plays an important role in balancing work demands and family roles and also in increasing working female academicians’ well-being.

In this study, management and supervisory support was found to be directly related to well-being, including life satisfaction, job satisfaction and family satisfaction. However, the direct relationship between management/supervisory support and well-being was positive and significant. This study also found that management/supervisor support reduced work–family conflict and work–family demands. Also, supervisory and management support was found to have a significant and positive relationship with well-being. Given these findings, supervisory and management support plays a very important role as a moderator of work–family demands and in developing and improving well-being in working women.

The purpose of this paper is to develop an index for measuring urban house price affordability that integrates spatial considerations and to explore the drivers of housing affordability using the post-least absolute shrinkage and selection operator (LASSO) approach and the ordinary least squares method of regression analysis.

The study is based on time-series data collected from 2005 to 2021 for 256 prefectural-level city districts in China. The new urban spatial house-to-price ratio introduced in this study adds the consideration of commuting costs due to spatial endowment compared to the traditional house-to-price ratio. And compared with the use of ordinary economic modelling methods, this study adopts the post-LASSO variable selection approach combined with the k-fold cross-test model to identify the most important drivers of housing affordability, thus better solving the problems of multicollinearity and overfitting.

Urban macroeconomics environment and government regulations have varying degrees of influence on housing affordability in cities. Among them, gross domestic product is the most important influence.

The paper provides important implications for policymakers, real estate professionals and researchers. For example, policymakers will be able to design policies that target the most influential factors of housing affordability in their region.

This study introduces a new urban spatial house price-to-income ratio, and it examines how macroeconomic indicators, government regulation, real estate market supply and urban infrastructure level have a significant impact on housing affordability. The problem of having too many variables in the decision-making process is minimized through the post-LASSO methodology, which varies the parameters of the model to allow for the ranking of the importance of the variables. As a result, this approach allows policymakers and stakeholders in the real estate market more flexibility in determining policy interventions. In addition, through the k-fold cross-validation methodology, the study ensures a high degree of accuracy and credibility when using drivers to predict housing affordability.

This study aims to determine research performance in Islamic business ethics and explore future research directions from leading articles and scholars.

This paper used bibliometric and content analysis to analyze 250 articles from reputable Scopus and Web of Sciences journals.

To date, the normative style still dominates Islamic business ethics research. Asian countries such as Malaysia and Indonesia are the center of discussion on Islamic business ethics. This study also suggests that researchers and academics study aspects of the economy that Islamic values have not touched, such as the theme of art, artificial intelligence for labor relations, workers' rights and language.

This research aims to contribute knowledge to Muslims as a reference guide for ethical business behavior. Non-Muslim managers can use this paper as a guide in forming a global company that is pluralistic and respectful of religious communities.

This research makes a scholarly contribution by providing a comprehensive exploration and detailed future research directions in each subtheme of Islamic business ethics.

This paper is drawn on resource-based theory (RBV), dynamic capability theory (DCV) and situational strength theory (SST). It aims to investigate the relationship of entrepreneurial leadership (EL) on project success (PS) through the mediating role of dynamic capabilities (DCs), big data analytic capability (BDAC) and sustainable resilience (SR). It also explores the moderating effect of knowledge sabotage behaviour (KSB) on the relationship of BDAC and SR with PS.

Data was collected via Questionnaire survey through convenience sampling from the sample of 550 employees working on project in software companies. Of these, 467 response was deemed valid for analysis. The data was analysed using structural equation modelling (SEM) with SMART-PLS tool.

The study revealed a significant impact of EL on PS (p < 0.05). It also confirmed the significant mediating role of BDAC and SR (p < 0.05) in EL and PS relationship. These findings emphasize that adapting an entrepreneurial leadership style provides an environment conducive to achieving project success. Moreover, the presence of DCs like BDAC and SR enhances the organization adaptability, efficiency and firms’ endurance to disruption and strengthens their ability to navigate challenges and drive firm outcomes.

The research provides valuable insight into the role of EL as a contemporary leadership style in project-based firms that are marked by high risk and uncertainty. Also, this research is the first to examine the role of DCs, i.e. BDAC and SR as essential support in the execution of a project. Moreover, the research also highlights the importance of the effective role of DCs in achieving PS by mitigating the moderating influence of KSB. Thus, these DCs are empirically proven to facilitate EL in-driving project success in volatile environment while avoiding counterproductive work behaviour.