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The main purpose of this paper is to introduce the gradient discretisation method (GDM) to a system of reaction diffusion equations subject to non-homogeneous Dirichlet boundary conditions. Then, the authors show that the GDM provides a comprehensive convergence analysis of several numerical methods for the considered model. The convergence is established without non-physical regularity assumptions on the solutions.

In this paper, the authors use the GDM to discretise a system of reaction diffusion equations with non-homogeneous Dirichlet boundary conditions.

The authors provide a generic convergence analysis of a system of reaction diffusion equations. The authors introduce a specific example of numerical scheme that fits in the gradient discretisation method. The authors conduct a numerical test to measure the efficiency of the proposed method.

This work provides a unified convergence analysis of several numerical methods for a system of reaction diffusion equations. The generic convergence is proved under the classical assumptions on the solutions.

A research line has emerged that is concerned with investigating human factors in information systems and cyber-security in organizations using various behavioural and socio-cognitive theories. This study aims to explore human and contextual factors influencing cyber security behaviour in organizations while drawing implications for cyber-security in higher education institutions.

A systematic literature review has been implemented. The reviewed studies have revealed various human and contextual factors that influence cyber-security behaviour in organizations, notably higher education institutions.

This review study offers practical implications for constructing and keeping a robust cyber-security organizational culture in higher education institutions for the sustainable development goals of cyber-security training and education.

The value of the current review arises in that it presents a comprehensive account of human factors affecting cyber-security in organizations, a topic that is rarely investigated in previous related literature. Furthermore, the current review sheds light on cyber-security in higher education from the weakest link perspective. Simultaneously, the study contributes to relevant literature by gaining insight into human factors and socio-technological controls related to cyber-security in higher education institutions.

End-of-life electronic products exchange (EEPE) program could be an effective approach to e-waste recycling that requires consumers' participation. Thus, it is highly recommended to study factors stirring consumer behavior with regard to EEPE programs, which is largely under-explored in the existing literature. Hence, grounding on the Theory of Planned Behavior (TPB) and Attitude-Behavior-Context (A-B-C) model, this study attempts to understand the determinants of consumers' EEPE intention by adding contextual and non-cognitive factors to the proposed research model.

Employing a purposive sampling technique, respondents were drawn from university students and general consumers of electronic products in a developing country. Factor analysis, structural equation modeling (SEM) and SPSS PROCESS were used to analyze the collected data.

Empirical results confirm that subjective norm has the strongest positive impact on EEPE intention. Following this, attitude toward EEPE and perceived behavioral control play positive mediating roles in determining EEPE intention. Moreover, government initiatives moderate the unsolicited “attitude–intention gap”.

Drawing on this study's outcomes, the study urges to form comprehensive awareness-building campaigns, rules and regulations regarding proper e-waste management, promote “exchange offer” programs and educational programs to encourage EEPE.

This study makes two fresh contributions to the extant literature. First, by coupling the TPB and A-B-C theory, this study showed that both attitude (i.e. attitude toward EEPE) and context (i.e. government initiatives) are essential in eliciting individual-level post-consumption pro-environmental behavior (PEB) (i.e. EEPE). Second, government initiatives elucidate the attitude–intention gap in the reverse logistics context, especially in developing countries.

This paper aims to examine the existing practice of accepting zakat payments using cryptocurrencies and crypto assets by discussing its Shariah issues.

This is qualitative research in nature, as unstructured interviews with experts in the field were conducted to understand the existing practice regarding zakat on cryptocurrencies/crypto assets while literature on the topic was reviewed to derive conclusions.

It is found that there are divergent views among contemporary Shariah scholars on the Shariah permissibility of cryptocurrency and crypto assets. As such, by evaluating the existing practices of some companies, this study has concluded that there is room to pay zakat using cryptocurrencies and from investments made on crypto assets. As long as they have been screened and classified as Shariah-compliant, they can be qualified to be part of one’s wealth from which zakat shall be paid. However, the findings of this research shall be subject to the fatwa and rules adopted in the specific jurisdiction in which the zakat payer resides. Laws made by the ruler to benefit the public ought to be considered in upholding the masalih (public interests) of all, which is in line with the legal maxim of “tasarruf al imam manut bi al-maslahah” (the ruler’s decision is dictated in favor of the people).

It is anticipated that the findings of this research will benefit zakat organizations and zakat payers in understanding how they should deal with cryptocurrencies and crypto assets in the collection and payment of zakat.

The contribution of this study aims to twofold: First, it provides an overview of the current state of research on cyberattacks on Chinese supply chains (SCs). Second, it offers a look at the Chinese Government’s approach to fighting cyberattacks on Chinese SCs and its calls for global governance.

A comprehensive literature review was conducted on Clarivate Analytics’ Web of Science, in Social Sciences Citation Index journals, Scopus and Google Scholar, published between 2010–2021. A systematic review of practitioner literature was also conducted.

Chinese SCs have become a matter of national security, especially in the era of cyber warfare. The risks to SC have been outlined. Cybersecurity regulations are increasing as China aims to build a robust environment for cyberspace development. Using the Technology-organization-environment (TOE) framework, the results show that the top five factors influencing the adoption process in firms are as follows: relative advantage and technological readiness (Technology context); top management support and firm size (Organization context) and government policy and regulations (Environment context).

This review focuses on cyberattacks on Chinese SCs and great care was taken when selecting search terms. However, the author acknowledges that the choice of databases/terms may have excluded a few articles on cyberattacks from this review.

This review provides managerial insights for SC practitioners into how cyberattacks have the potential to disrupt the global SC network.

Past researchers proposed a taxonomic approach to evaluate progress with SC integration into Industry 4.0; in contrast, this study is one of the first steps toward an enhanced understanding of cyberattacks on Chinese SCs and their contribution to the global SC network using the TOE framework.

The purpose of this study is to investigate the potential of implementing a toxicity tax for heavily polluting vehicles in United Arab Emirates. A fast-changing world needs responsive policies to cope with the crisis human beings are currently facing on earth. Implementing a new policy represents a design for a change. Policies come in the form of regulations that have been officially agreed and chosen by either a political party, business or any other type of organization. This paper adopts the policy development cycle in the Australian policy handbook as a practical framework. A focus group comprising 35 participants and two decision makers thoroughly discussed each stage of the “policy development cycle”. A qualitative analysis of the data showed that there is potential for implementing a new tax to be imposed on highly polluting vehicles in United Arab Emirates (UAE) the most appropriate policy instrument in UAE is a policy enacted through restricted law; it might take more than 3 years to work; the expected tax would range between $280 and $1,100 per year; and there is concern that this new tax would slow Dubai’s preparation for EXPO 2020. These findings will help countries implement this new tax. Following the stages of the policy development cycle and their procedures will, therefore, inspire decision makers to formulate new environmental policies not only in UAE but around the world.

This research adopts the use of “focus groups” as its primary approach to data collection. A focus group is a common qualitative research technique and involves a small number of participants. The main reason for using qualitative research is because participants are asked for open-ended responses that convey their thoughts or feelings. The author of this paper served as the moderator who posed a series of questions intended to gain insight into the group’s views on the implementation of a toxicity tax for heavy polluting vehicles in the UAE. Time and attention were given to what it is that you expect to get out of focus-group research. The group was invited for one full day to a big hall and was seated around one table. The group was sometimes divided to obtain more focused views. Overall, four primary groups participated in this study. A fifth group, consisting of three senior members of a governmental agency who acted as decision makers, took part in one-to-one interviews at their place of work. Table I provides details on the backgrounds of the participant.

Research highlights the policy development cycle to investigate a new transport policy in UAE. A focus group comprising 35 participants and two interviews with two decision makers. There is potential for a tax to be imposed on highly polluting vehicles in UAE. The expected tax would range between $280 and $1,100 per year. The best policy instrument in the region is policy by law. The truck industry will be affected, and there will be a public refusal.

A new policy of implementing tax for high polluting vehicles was, therefore, discussed in this paper. Participants thought the tax would work, but an in-depth feasibility study on both microeconomic and macroeconomic aspects will be required; providing governmental incentives will help support the shift to less-polluting vehicles.

The policy development cycle was utilized as a practical framework for this research.

People were engaged into this study to make the policy viable. People will react positively to this policy.

Due to the lack of such research in this area, this paper will fill a gap in the knowledge. Moreover, the policy will be real implementation based on this publication. The findings will not only help UAE but also many countries that share same environmental and social contexts.

The purpose of this study is to propose and develop a zakat model for digital assets from the Sharīʿah perspective.

This research adopts a qualitative research method while studying the literature thoroughly, and it analyzes the data through an exploratory research approach to propose a zakat model for the digital assets.

This research aims to develop a zakat model for digital assets within the framework of Sharīʿah. Using a qualitative research method, the study thoroughly examines existing literature and uses an exploratory research approach to propose this zakat model. The findings suggest that digital assets hold the potential to be considered for zakat in the contemporary digital age. Previous studies indicate that both commodity-based and currency-based digital assets meet the criteria for zakat imposition. Given zakat’s significant impact on socioeconomic development, it is imperative to carefully manage these assets to maximize their potential benefits. However, variations in interpretations by different jurisdictions and Sharīʿah scholars regarding the understanding and classification of digital assets lead to ongoing scrutiny from legal and religious perspectives. This research aims to contribute to the discourse by proposing a zakat model for digital assets and identifying potential assets eligible for zakat.

This research seems to be the pioneer in providing a zakat model for digital assets, combining different segments of digital assets.

This study delves into the influence of contractual frameworks on infrastructure project timelines and evaluates the role of long-term warranty agreements in maintenance efficacy. It underscores the correlation between construction contract structures and prevalent project delays, advocating for a revision in the allocation of responsibilities to mitigate such delays effectively.

While previous research has explored individual aspects of construction management, such as contractor incentives and risk allocation, our study uniquely integrates these elements to develop a comprehensive model that includes the effects of long-term warranty agreements and penalty clauses.

The findings advocate for contract revisions that entail clearly articulated responsibilities and thorough impact assessments, aimed at enhancing the efficiency of project execution and optimizing infrastructure investment returns. Concrete examples are provided from large-scale infrastructure and public works maintenance projects, illustrating the benefits of well-defined penalty clauses in curbing delays and ensuring sustained quality through long-term warranties. Our results demonstrate that optimized contractual structures can significantly reduce project delays and enhance maintenance effectiveness.

This study addresses significant gaps in understanding construction contract management dynamics, especially in transportation infrastructure. It rigorously analyzes how penalty clauses and long-term warranties impact contractor behavior and project outcomes. Key findings show that the benefits of long-term warranties, including social advantages, depend heavily on the strictness of penalty clauses. Innovatively, it employs a First-Price Sealed-Bid Auction framework with empirical data from various case studies, enhancing contract structure optimization for better stakeholder alignment and infrastructure integrity. These insights notably advance construction contract management methodologies.

Chatbots are increasingly embodied in business and IS contexts to enhance customer and user experience. Despite wide interest in chatbots among business and IS academics, surprisingly, there are no current comprehensive reviews to reveal the knowledge structure of chatbot research in such areas.

This study employed a mixed-method approach that combines systematic review and bibliometric analysis to provide a comprehensive synthesis of chatbot research. The sample was obtained in December 2023 after searching across six databases: EBSCOhost, PsycINFO, Web of Science, Scopus, ACM Digital Library and IEEE Computer Society Digital Library.

This study reveals the major trend in publication trends, countries, article performance and cluster distribution of chatbot research. We also identify the key themes of chatbot research, which mainly focus on how users interact with chatbots and their consequences, such as users’ cognition and behavior. Moreover, several important research agendas have been discussed to address some limitations in the current chatbot research in business and IS fields.

The present review is one of the first attempts to systematically reveal the ongoing knowledge map of chatbots in business and IS fields, which makes important contributions and provides useful resources for future chatbot research and practice.