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In the article is studied a problem of family care for the elderly peoples in the countries of Southeast Asia. Due to the global acceleration of population aging, care for the elderly has become a frequently discussed issue over the past decade.

ABSTRACTThis paper proposes the majority‐voting punishment mechanism and compares its effect on the contribution decision with other punishment mechanisms when individuals have homogeneous or heterogeneous marginal per capita returns on public goods. The experimental results show that if individuals are homogeneous, the majority‐voting punishment mechanism is an alternative to encourage cooperation and reduce antisocial punishment. But, if individuals are heterogeneous, the individual and majority‐voting punishment mechanisms are similarly effective in promoting cooperation in the organization. Furthermore, whatever punishment mechanism is implemented, organizations should pay attention to the problem of antisocial punishment.

Dry ports have the potential to enhance the sustainability of transport systems, yet their introduction requires major changes to the current logistics chain. Further, emphasising sustainability goals and continued employee engagement can be a challenge when developing or implementing organisational change management programs in dry ports. Key considerations include governmental requirements and compliance, investor expectations, as well as employee engagement ; these factors may be conflicting. The top-down management approach supported by strong leadership, participative approaches and constant communication assists in achieving successful change management. Sound selection of key performance indicators (KPIs) provides a set of metrics to track and aid the change process. They serve as a unifying link between top managements&rsquo ; sustainability goals and employees&rsquo ; engagement. The initial findings of our research confirm that both port and terminal operators have a gap in their understanding of the importance of sustainability goals and environmental goals. This will have a flow-on effect of port and terminal operators not driving the right messages to their staff in their organisational change management programs. Based on a critical literature review, it has been established what might qualify as good sustainability KPIs for dry ports. An example of a dry port at the Port of Somerton has been included. As every dry port has different requirements and constraints, it is important to develop KPIs together with stakeholders.

AbstractA fuzzy multi‐objective water resources management model is developed to determine the satisfactory water allocation plan in a coastal city of Northeast China. The imprecise predicted values of parameters are represented by fuzzy numbers, and seven fuzzy objectives of maximizing the possibilities of satisfying the water requirements for six users and total cost less than the expected value are considered. After weighted summation method (WSM) is used to transform the multi‐objective model into a single‐objective model, the satisfactory water allocation plan is efficiently derived according to decision makers' preferences by using a hybrid solution procedure of combining genetic algorithm with fuzzy simulation technique. Results of sensitivity test imply that the interval [0.2, 0.6] of cutting level, surface water and groundwater supplies have the most sensitive influence on results of the model. Moreover, results of discussion demonstrate that the assumption of linearity can be accepted, and membership function of fuzzy number has little influence on results of the model.

This study aimed to analyze the characteristics of highly cited public administration articles in the Social Science Citation Index published from 1900 to 2022. Results show that classic works were revealed to frequently occur in the 1970s, and most of articles are on collaborative governance research. The output of countries, institutions, authors, and journals in the field of public administration also was revealed. In addition, the study discovers the life cycle of highly cited articles, including three types: "delayed growth," "steady growth," and "rapid growth." This study describes the citation behavior characteristics of academic entities in the discipline of public administration and the common rules of highly cited papers, which provides insights for the future development direction of the discipline of public administration research.

AbstractPublic administration is a discipline with considerable history, and is also a diverse, interdisciplinary field in social science. To analyze its evolution, discover the present research foci, and predict future development trends, this study applied scientometrics visualization technology to evaluate over 72,000 scientific articles from the 1920s to 2020s. This research referred to the SSCI and JCR databases to gather scientific data of the discipline and the journals' impact factor. Consequently, paper citations, cited journals, journal co‐citations, author co‐citations, authoritative papers, top countries, productive institutes, average references, and research collaboration trends were analyzed on the bases of the published literature. This study found top productive journals in the discipline, discovered productive countries and institutes, present the research foci, and predicted future development trends. Through this study, scientific production, international cooperation, and knowledge evolution mode of public administration research offers a clear knowledge map of the public administration discipline.

AbstractAs the growing number of cases is draining the limited court resources in China, how to scientifically measure the reasonable saturated workload of judges has become an urgent issue. This issue is the prerequisite of other important topics such as determination of judges' quotas, measurement of the actual workload of a trial team, performance evaluation of judges, and resource allocation within courts. Data-driven measurement of the actual workload of China's judges depends on various factors such as local economic development, public transportation, case-load in the past, and staffing of assistant positions. Therefore, traditional approaches that depend only on a single element, such as cause of action, do not work well. We proposed a modelling framework based on big-data and machine-learning technology to more accurately measure the actual workload of judges. This framework extracts the core elements of judicial cases, assigns target workload to the cases based on feedback from judges and analyzing case samples to create a standard training dataset, and trains machine-learning models using the data. A preliminary case-weight calculation model is built using the framework. Besides, the model is continuously evaluated and improved by comparing its output with the actual demand in a court through methods such as sampling, questionnaires, and expert evaluation.

Green buildings (GB) have been globally adopted for sustainable development by enhancing the resource efficiency, reducing the operation cost, and improving the building environment for users. However, little research has systematically explored the key issues of GB in developing countries. This study has revealed the green technical capabilities and barriers to GB in Thailand from the perspectives of consultants, architects, and engineers, using a questionnaire survey and a case study. The results show experience in meeting the combined requirements of the Leadership in Energy and Environmental Design (LEED) and the green building rating system that Thailand developed in 2010, Thailand&rsquo ; s Rating of Energy and Environmental Sustainability (TREES), and &ldquo ; skilled in energy systems&rdquo ; to be the top two most important green technical capabilities. Barriers to GB mainly arise from financial pressure, technical limitations, and inadequate promotion. &ldquo ; Lack of motivations from owners&rdquo ; and &ldquo ; high initial cost&rdquo ; are ranked as the top two barriers to green building. The results collectively reveal that market demand and technological advancement are fundamental drivers for the GB industry, and the government, economic conditions, education, and corporate social responsibility are the other stimuli for the industry. The findings can help project participants adopt appropriate strategies to boost GB in emerging markets in developing countries. Future policies should focus on increasing market demand, encouraging green technology innovation, and reducing the cost of development and construction of GB.