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As corporate sustainability is systemic, it cannot be achieved without effective involvement of suppliers. This study aims to examine the drivers of supplier companies’ resource allocation to a sustainability issue that affects customer companies and society at large.

Supplier companies’ resource allocation for a sustainability issue is explained from variables at the levels of the institutional, supply chain and internal environments of a supplier company. The framework is tested with a moderated regression model on 102 supplier companies in animal-based supply chains, focussing on their resource allocation for farm animal welfare.

The findings show that supply chain factors have the strongest influence on suppliers’ resource allocation, including a strong effect of investment specificity and a U-shaped effect of chain integration. Also, significant effects from institutional variables, namely, the pressure on consumer companies, and an inverted U-shaped effect of sustainability competition are found. The innovativeness, referring to the internal environment of supplier companies, appears as another important factor for the allocation of resources to animal welfare, as a sustainability issue.

The results have implications for consumer market companies to deal with sustainability issues that require involvement of their suppliers, for supplier companies to increase their competitive positions and strengthen their relationships within the supply chain, and for policymakers seeking solutions for sustainability issues in the market domain.

While existing literature focusses mostly on the corporate sustainability of highly visible and large consumer companies, to the best of the authors’ knowledge, this study is the first to examine the drivers of supplier companies’ resource allocation for a sustainability issue, namely, animal welfare. It provides insights on what drives supplier companies, usually operating outside the spotlight, to become part of a sustainability transition.

Different from manufacturing resources allocation problems, the prices and amounts of limited public service resources could not be changed with the consumers’ requirements and social fairness is the most important objective for improving allocation efficiency. To measure social fairness reasonably, the purpose of this paper is fourfold: first, divide social fairness into longitudinal comparative fairness and crosswise comparative fairness, therefore providing their calculation formula and describing the comprehensive fair degree by using the interval numbers. Second, the comparison regulations of interval numbers are given and the corresponding features are also described. Third, an extension of VIKOR method is put forward for evaluating social fairness of different allocation alternatives with interval numbers. Finally, a numerical example illustrates the proposed method and clarifies the main results developed in the paper.

In this paper, the author depicts the social fair degree as an interval number, and thus proposes the comparison method between any two interval numbers. Based on the basis procedure of the VIKOR method, the paper proposes an extension of the fuzzy VIKOR method with the interval numbers to rank and select the compromise allocation alternatives. Finally, a numerical example illustrates the practicability of the proposed method.

The comparison of interval numbers is very important when the author evaluates the decision alternatives. Through analyzing the present comparison methods, the paper proposes the simple method of comparing the interval numbers, which can obtain the same results with the above two methods. The fuzzy VIKOR method, a popular multi-criteria decision-making method, focusses on ranking and selecting from a set of alternatives in a fuzzy environment. For the fuzzy value, the paper also proposes the extension of the VIKOR method to perform an evaluation and get the compromise alternatives.

According to the huge customers’ requirement, how to improve their social fair degree has become the focus in public service resources allocation, where the social fair degree may be a comprehensive concept which includes the fair degree compared with all the other allocation alternatives and the fair degree compared with the other small group under the same allocation alternative. In the paper, the author defines the above two types of fair degree and then depicts the comprehensive fair degree as their integration, which will be interval numbers.

This study aims to investigate the feasibility of employing a multi-objectives integer-programming model for effective allocation of resources for cyberfraud mitigation. The formulated objectives are the minimisation of the total allocation cost of the anti-fraud capacities and the maximisation of the forensic accounting capacities in all cyberfraud incident prone spots.

From the literature survey conducted and primary qualitative data gathered from the 17 licenced banks in South Africa on fraud investigators, the suggested fraud investigators are the organisation’s finance department, the internal audit committee, the external risk manager, accountants and forensic accountants. These five human resource capacities were considered for the formulation of the multi-objectives integer programming (MOIP) model. The MOIP model is employed for the optimisation of the employed capacities for cyberfraud mitigation to ensure the effective allocation and utilisation of human resources. Thus, the MOIP model is validated by a genetic algorithm (GA) solver to obtain the Pareto-optimum solution without the violation of the identified constraints.

The formulated objective functions are optimised simultaneously. The Pareto front for the two objectives of the MOIP model comprises the set of optimal solutions, which are not dominated by any other feasible solution. These are the feasible choices, which indicate the suitability of the MOIP to achieve the set objectives.

The results obtained indicate the feasibility of simultaneously achieving the minimisation of the total allocation cost of the anti-fraud capacities, or the maximisation of the forensic accounting capacities in all cyberfraud incident prone spots – or the trade-off between them, if they cannot be reached simultaneously. This study recommends the use of an iterative MOIP framework for decision-makers which may aid decision-making with respect to the allocation and utilisation of human resources.

The originality of this work lies in the development of multi-objectives integer-programming model for effective allocation of resources for cyberfraud mitigation.

Disaster management and humanitarian logistics (HT) play crucial roles in large-scale events such as earthquakes, floods, hurricanes and tsunamis. Well-organized disaster response is crucial for effectively managing medical centres, staff allocation and casualty distribution during emergencies. To address this issue, this study aims to introduce a multi-objective stochastic programming model to enhance disaster preparedness and response, focusing on the critical first 72 h after earthquakes. The purpose is to optimize the allocation of resources, temporary medical centres and medical staff to save lives effectively.

This study uses stochastic programming-based dynamic modelling and a discrete-time Markov Chain to address uncertainty. The model considers potential road and hospital damage and distance limits and introduces an a-reliability level for untreated casualties. It divides the initial 72 h into four periods to capture earthquake dynamics.

Using a real case study in Istanbul’s Kartal district, the model’s effectiveness is demonstrated for earthquake scenarios. Key insights include optimal medical centre locations, required capacities, necessary medical staff and casualty allocation strategies, all vital for efficient disaster response within the critical first 72 h.

This study innovates by integrating stochastic programming and dynamic modelling to tackle post-disaster medical response. The use of a Markov Chain for uncertain health conditions and focus on the immediate aftermath of earthquakes offer practical value. By optimizing resource allocation amid uncertainties, the study contributes significantly to disaster management and HT research.

Little research is devoted to how salary allocation processes interfere with gender inequality in talent development in universities. Administrative data from a university indicated a substantial salary gap between men and women academics, which partially could be explained by the unequal distribution of men and women in the academic job levels after acquiring a PhD, from lecturer to full professor, with men being overrepresented in the higher job levels, as well as in the more senior positions within each job level. We demonstrated how a lack of transparency, consistency and accountability can disqualify apparent fair, merit-based salary decisions and result in biased gender differences in job and salary levels. This chapter reflects on how salary decisions matter for the recognition of talent and should be an integral part of talent management.

This paper addresses the trade-off between asset investment and food safety in the design of a food catering production plant. It analyses the relationship between the quality decay of cook-warm products, the logistics of the processes and the economic investment in production machines.

A weekly cook-warm production plan has been monitored on-field using temperature sensors to estimate the quality decay profile of each product. A multi-objective optimisation model is proposed to (1) minimise the number of resources necessary to perform cooking and packing operations or (2) to maximise the food quality of the products. A metaheuristic simulated annealing algorithm is introduced to solve the model and to identify the Pareto frontier of the problem.

The packaging buffers are identified as the bottleneck of the processes. The outcome of the algorithms highlights that a small investment to design bigger buffers results in a significant increase in the quality with a smaller food loss.

This study models the production tasks of a food catering facility to evaluate their criticality from a food safety perspective. It investigates the tradeoff between the investment cost of resources processing critical tasks and food safety of finished products.

The methodology applies to the design of cook-warm production. Catering companies use cook-warm production to serve school, hospitals and companies. For this reason, the application of this methodology leads to the improvement of the quality of daily meals for a large number of people.

The paper introduces a new multi-objective function (asset investment vs food quality) proposing an original metaheuristic to address this tradeoff in the food catering industry. Also, the methodology is applied and validated in the design of a new food production facility.

The COVID-19 pandemic has forced countries to consider how to reach vulnerable communities with extended outreach services to improve vaccination uptake. The authors created an optimization model to align with decision-makers' objective to maximize immunization coverage within constrained budgets and deploy resources considering empirical data and endogenous demand.

A mixed integer program (MIP) determines the location of outreach sites and the resource deployment across health centers and outreach sites. The authors validated the model and evaluated the approach in consultation with UNICEF using a case study from The Gambia.

Results in The Gambia showed that by opening new outreach sites and optimizing resource allocation and scheduling, the Ministry of Health could increase immunization coverage from 91.0 to 97.1% under the same budget. Case study solutions informed managerial insights to drive gains in vaccine coverage even without the application of sophisticated tools.

The research extended resource constrained LMIC vaccine distribution modeling literature in two ways: first, endogenous calculation of demand as a function of distance to health facility location enabled the effective design of the vaccine network around convenience to the community and second, the model's resource bundle concept more accurately and flexibly represented complex requirements and costs for specific resources, which facilitated buy-in from stakeholders responsible for managing health budgets. The paper also demonstrated how to leverage empirical research and spatial analysis of publicly available demographic and geographic data to effectively represent important contextual factors.

This paper aims to fill a gap in the existing literature by shedding the light on four main issues. First, the relationship between child-at-risk protection and sustainable development and the key factors contributing to the failure or success of child-at-risk protection systems. Second, the main characteristics and limitations of the current institutional arrangements of the child-at-risk protection system in Egypt. Third, the budget allocations to child protection-relevant entities in Egypt. Fourth, the way forward to enhance the effectiveness of the child-at-risk protection system in Egypt.

The methodology used in this paper is of a qualitative nature. The authors relied on desk review of the international and national reports (including the un-published ones) and the relevant literature on the topic. Additionally, the authors reviewed the relevant laws and regulations and analyzed the fiscal data extracted from Egypt’s State budget. Also, semi-structured interviews were conducted with some officials from the different governmental entities covered by the study.

From the institutional perspective, the authors find that the current child-at-risk protection system in Egypt needs effective institutional arrangements, as it is attributed with the limited activation of the child protection committees, lack of coordination mechanisms and overlapping mandates with regards to case management. Hence, the authors propose two institutional approaches that could help in enhancing the performance of the current system. While the first approach has decentralized nature, the other is centralized. From the fiscal perspective, the authors analyze the trend and composition of the budget allocations to the child protection-relevant entities in Egypt. They show that such allocations are relatively small especially when items not related to child protection are excluded.

The paper analyzes the main characteristics and limitations of the current institutional arrangements of the child-at-risk protection system in Egypt. Moreover, it proposes two alternative institutional approaches to deal with such limitations and enhance the effectiveness of the current system. The paper also provides an analysis of the budget allocations to the child protection-relevant entities in Egypt. These issues have not been addressed sufficiently in the Egyptian context.

Over the past four decades, China has strived to make the market mechanism play a decisive role in resource allocation under the conditions of adhering to the basic socialist economic system. The paper aims to discuss this issue.

On this matter, this paper proposes a three-phase transition hypothesis for the Chinese institutional change models, namely, a de facto path, which gives potential to a successful incremental transition of a centralized country from planned economy to a market economy, lies in the incremental transitions of the institutional change models from a supply-oriented model at initial reform to a middle-proliferation model and to a demand-induced model along with the gradual establishment of exclusive property rights, thereby completing the transition to a socialist-market-economic system.

The Chinese economic model’s unique connotation is the reason why the solution to this model often baffles both the traditional political-economic logic and western mainstream institutional change theory.

This hypothesis corroborates that China’s unswerving practice of economic reform has provided unprecedented opportunities and challenges for the development of economic theory. The Chinese model constitutes the source of innovation for the subject of Economics with Chinese Studies.

The socialist political economy with Chinese characteristics is the scientific fruit of Xi Jinping thought on socialist economy with Chinese characteristics for a new era. People-centred philosophy is the core values of the Communist Party of China (CPC) Central Committee's governance of China with Xi Jinping as the core and has become the core values of the socialist political economy with Chinese characteristics. According to Xi Jinping thought on socialist economy with Chinese characteristics, it represents the interests of all people and determines the disciplinary attribute of the socialist political economy with Chinese characteristics, that is, people-centred economics. Xi Jinping has defined the essence of the socialism as eliminating poverty, improving people's livelihood and gradually realising common prosperity. That determines the main line of socialist political economy with Chinese characteristics is to liberate, develop and protect the productive forces and achieve common prosperity. This study aims to discuss the aforementioned statements.

Xi Jinping's scientific judgement on the new stage of development and the principal contradiction facing Chinese society has put forward the requirement of problem orientation for the study of socialist political economy with Chinese characteristics, involving the main contradiction facing Chinese society, high-quality development and modernisation. China's socialist basic economic system consists of a socialist market economy in which public ownership plays the leading role alongside other forms of ownership and distribution according to work is the mainstay, while other forms of distribution coexist alongside it. And this socialist basic economic system, marked out from three dimensions—production, distribution and exchange analysis, is the key of analysis of systems in the socialist political economy with Chinese characteristics. The economic operation analysis in political economy mainly involves resource allocation and the government's macroeconomic regulation and control.

The new thought and new practices about the role of the market and the government in the new era have opened up a new realm for the economic operation analysis in the socialist political economy with Chinese characteristics. The new development philosophy and new development paradigm define the content of the economic development theory in the socialist political economy with Chinese characteristics. The new development paradigm reflects the dual circulation theory of social reproduction.

The socialist political economy with Chinese characteristics is to study laws of economics in various aspects from economic system, economic operation, economic development to foreign economy and provide the basic principles of socialist political economy with Chinese characteristics. Its mainstream economic position will be consolidated continuously.