This article aims to examine the influence of top management green commitment and green intellectual capital of Thailand’s thrift and credit cooperatives on sustainable business performance: the mediating role of collaboration. A questionnaire was used to collect data from 400 Thailand’s thrift and credit cooperatives. The measurement and structural models were analyzed with Structural Equation Modeling (SEM). The finding of the study demonstrated that top management green commitment and green intellectual capital have a positive influence on sustainable business performance and collaboration. Moreover, collaboration has a positive influence on sustainable business performance and mediates the relationship between top management green commitment on sustainable business performance, and also green intellectual capital on sustainable business performance. This empirical finding contributes to the body of knowledge in Resource Based View theory.

As the population grows and demand increases, cities have seen a rise in the number of chain stores. To remain competitive, these companies must reduce costs and attract more customers. A key factor in achieving this is the strategic placement of store branches, which reduces the distance between stores and customers, instilling trust and increasing their appeal while also cutting costs by reducing the need for employees to navigate longer distances. In this study, an integer linear programming model is presented with the goal of dividing a zone in Ahvaz city into several scenarios to determine the optimal number of stores while maintaining control over the distance between active stores. This research is the first to include this specific limitation in the mathematical model of the problem. The results of the study demonstrate a significant reduction in the distance between customers and stores.

This paper aims to improve the ABC analysis method used for inventory management by applying the Pythagorean Fuzzy TODIM approach. ABC analysis is one the well-known and widely used inventory classification techniques which divides inventory items into three categories according to their importance and value. However, the traditional ABC analysis does not consider the imprecision and vagueness of real-world inventory data, which can lead to inaccurate results and poor inventory management decisions. The proposed approach enhances the traditional ABC analysis by incorporating fuzzy numbers to be considered in real-world inventory data. The improved ABC analysis helps companies to optimize inventory levels, reduce costs, improve customer service, and increase overall operational efficiency. To check for the reliability and effectiveness of the developed model under different scenarios sensitivity analysis is conducted. Additionally, the comparative analysis among other existing models further demonstrates the model's accuracy. The model prepared shows that the Pythagorean Fuzzy TODIM approach is superior to the conventional ABC analysis in terms of reliability and dealing with the uncertain inventory data. Overall, this paper provides a novel and effective approach to inventory management and offers valuable insights for practitioners and researchers in the field.

In disease mapping, it is preferable to estimate the risk rather than the significance in general, but the variation in estimation precision across the geographical map of the study region must also be taken into consideration. In such a situation the conventional methods would not yield the best estimates. Heterogeneity is an important aspect to be considered as significant in Disease Mapping and relative risk estimation. The simple regression models often do not capture the extent of the variation exhibited in the spatial count data. This is the case when the spatial data is over-dispersed or there is spatial correlation due to unobserved confounders. In such situations, it is appropriate to include some additional terms, which may be in the form of the prior distribution. In this paper, a Poisson model with Gamma prior is used to model and map the dengue incidences in Tamil Nadu to explain the patterns of variations.

The global value chain (GVC) recognizes post production processes that involve socio economic engagements of stakeholders with electrical and electronic equipment (EEE or e-products) at their near or end of life. This paper attempts to measure some of the key social, economic, environmental, and sustainability indicators in line with GVC for lithium-ion batteries from e-products at their near or end of life. The assessment was based on the socioeconomic impacts on the battery sector for managing spent lithium-ion (Li-ion) batteries in Southeastern Nigeria. The study methodology highlighted strategic features in line with socioeconomic assessment by deploying questionnaire administration. Ten (10) local government areas (LGAs) were purposely selected from five mutually exclusive States, with 100 stakeholders investigated. Descriptive statistics were used to analyze data for innovation potentials for the battery recycling/refurbishing sector, and discussed accordingly under sustainability, social, economic and environmental impacts. The socioeconomic drivers (or outcomes) for the recycling and refurbishing of lithium ion batteries touched on self-sustainability, institutionalization, service demand, service utilization and prevalence.

The purpose of this study is to examine the relationships of master production scheduling (MPS), total quality management (TQM), blood production (BP) and blood transfusion sustainability in the blood bank sector of Uganda. This study considers MPS as an independent variable and examines its relationship with BTS through TQM and BP. Based on the dynamic capability theory, this study concurrently incorporates and considers TQM and BP as independent and serial mediators. Data was collected from 213 blood bank respondents using a self-administered questionnaire. Random simple sampling was used to draw the sample. SEM approach was used in the study to assess the model. The major findings are positive total effect relationship between MPS and BTS; BP was found to be an independent mediator, TQM was found not to be an independent mediator, and TQM and BP mediated the MPS and BTS relationship serially. The findings suggest that MPS is related to BTS through a serial mediation model with two mediators. Therefore, blood banks in Uganda need to pay attention to develop and maintain a better MPS program so that positive perceptions of blood transfusion can be attained. Future research should investigate the mediating effect of other TQM and BP dimensions in the link between MPS and BTS in other countries.

This research aims to examine the influence of top management commitment on the operational performance through the mediating role of the green purchasing and ISO 14000 implementation. This study used a quantitative approach and collected data by distributing 70 questionnaires to textile companies located in the Central Java region, Indonesia. One respondent from the top management level, a manager or general manager represented each company. Off the 70, 48 questionnaires were returned and completed correctly. Data analysis used a partial least square (PLS) technique with SmartPLS software version 3.0. The results show that top management commitment has a significant influence on green purchasing, ISO 14000 implementation, and operational performance directly. The results also show that top management commitment also influences the operational performance through the mediating role of the green purchasing and the ISO 14000 implementation. Additional findings indicate that top management commitment contributes more influence on the operational performance through the mediating role of the green purchasing and the ISO1400 implementation than its direct influence. This study contributes to the current theory on supply chain management and paves the way for the practitioner in enhancing the operational performance of the textile industry.

This research paper aims to explore the relationship between water pollution and sustainable development. Water pollution is a significant environmental challenge that threatens the sustainability of ecosystems, human health, and economic development. Sustainable development aims to meet the needs of the present generation without compromising the ability of future generations to meet their own needs. The research methodology involves a comprehensive review of relevant literature on water pollution and sustainable development, including empirical studies, theoretical frameworks, and policy documents. The research will explore the impact of water pollution on sustainable development, the drivers of water pollution, and the policy and regulatory frameworks that promote sustainable water management. The findings of this research paper will contribute to a deeper understanding of the complex relationship between water pollution and sustainable development and provide insights into effective strategies and policies that can promote sustainable water management. The research will also highlight the importance of public awareness and education in promoting sustainable practices and behaviors that can help to prevent and mitigate water pollution. This research paper will provide valuable insights into achieving sustainable water management practices that promote environmental sustainability and socio-economic development.

Loading and unloading operations for Stock Keeping Units (SKUs) in warehouses are critical to logistics management systems. However, these operations also have a significant impact on the environment, particularly in terms of carbon dioxide (CO2) emissions. As such, warehouse management must consider not only operational efficiency but also environmental impact. The reduction of CO2 emissions in warehouses is becoming increasingly important, both for legal compliance and to meet sustainability targets. In this article, we will emphasize the environmental impact of warehouse operations, particularly on CO2 emissions, and explore ways to minimize them while still maximizing warehouse performance. We will review various optimization models proposed to address this issue and highlight the importance of considering environmental objectives when designing warehouse operations. We will also describe a simulation study conducted to determine the Pareto optimal frontier for a warehouse design, considering transportation, space utilization, and CO2 emissions. The outcomes of implementing this simulation's results include reduced CO2 emissions and increased space utilization, which demonstrate the potential benefits of considering environmental objectives in warehouse design and management.

This research paper examines the role of cloud computing in promoting sustainable development. Cloud Computing (CC) has emerged as a transformative technology that has the potential to reduce the environmental impact of businesses and organizations, while also enabling economic growth and social development. The paper explores the environmental benefits of cloud computing, including energy efficiency, reduced carbon emissions, and the potential for renewable energy integration. It also examines the economic and social benefits of cloud computing, including cost savings, increased productivity, and improved access to technology. The paper concludes by highlighting the potential challenges and opportunities associated with the adoption of cloud computing for sustainable development and identifies key areas for future research and policy action. Overall, the paper argues that cloud computing has the potential to play a critical role in promoting sustainable development, and that further research and policy action are needed to realize its full potential.