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.