The sustainable development of the global economy and society necessitates the integration of environmental and socially responsible management, known as ESG (environmental, social, and corporate governance). Despite growing recognition of ESG’s importance, the strategic management of ESG factors in Kazakhstan’s telecommunications industry remains underexplored. This study bridges this gap by analyzing Kazakh telecom’s ESG strategies from 2019 to 2021 through a cross-sectional design and semi-structured interviews with 12 industry experts. Utilizing the National Rating Agency (NRA) methodology, the research evaluates environmental, social, and governance variables. Key findings reveal that Kazakh telecom excels in “Climate Change” and “Human Capital Management” but needs significant improvements in “Environmental Impact” and “Society.” The study offers specific recommendations such as enhancing corporate volunteering, responsible marketing, service quality, and integrating sustainable practices. The primary contributions of this research include actionable insights for improving ESG strategies in telecommunications companies and advocating for more systematic and standardized ESG assessment approaches. This study expands the understanding of how ESG principles can enhance competitiveness and sustainable development in the telecommunications industry, providing valuable guidance for industry practitioners and policymakers. It offers insights into effective ESG implementation practices and highlights critical areas requiring attention to drive sustainable development in telecommunications.

At present, states and entire regions that possess significant reserves of sought-after minerals have great potential to maintain and even improve their socio-economic position in the foreseeable future. Since the beginning of 2000, the increase in mining volumes of minerals has been more than 50%; however, more than half of all extracted raw materials fall to only five leading countries: China, the USA, the Russian Federation, Australia, and India. This article presents the results of the analysis of the global structure of mineral production by type and geographic region. The article provides an in-depth analysis of the world’s leading mining companies, identifying the key players in the industry. A comprehensive overview of each company’s performance, including key financial indicators and production statistics, is presented. The main environmental risks as a result of the continued increase in the global scale of mining have been identified. The prospects for the development of the mining sector are shown. The results of the study can be used by the scientific community as an information source.

Technology development in the agricultural sector is important in the development of Thailand’s economy. The purpose of this research was to study the approach of guidelines for future agricultural technology development to increase productivity in the Agricultural sector in order to develop a structural equation model. The research applied mixed-methodology. Qualitative research by in depth interview from 9 experts and focus group with 11 successful businesspersons for approve this model. The quantitative data gather from firm, in the 500 of agricultural sector by using questionnaire, using statistical tests of descriptive analysis, inferential analysis, and multivariate analysis. The research found guidelines for future agricultural technology development to increase productivity in the Agricultural sector composed of 4 latent. The most important item of each latent were as following: 1) Agrobiology Technology (= 4.41), in important item as choose seeds that for disease resistance and tolerate the environment to suit the cultivation area, 2) Environmental Assessment (= 4.37),, in important item as survey of cultivated areas according to topography with geographic information system, 3) Agricultural Innovation (= 4.30), in important item as technology reduces operational procedures, reduce the workforce and can reduce operating costs, and 4) Modern Management Systems (= 4.13), in important item as grouping and manage as a cooperative to mega farms. In addition, the hypothesis test found that the difference in manufacturing firm sizes. Medium and Small size and large size revealed overall aspects that were significantly different at the level of 0.05. The analysis of the developed structural equation model found that there was in accordance and fit with the empirical data and passed the evaluation criteria. Its Chi-square probability level, relative Chi-square, the goodness of fit index, and root mean square error of approximation were 0.062, 1.165, 0.961, and 0.018, respectively.

The global economic recession has caused pessimism in terms of prospects of sales recovering in the future. The present study is an attempt to investigate the cost stickiness behavior by focusing on specific characteristics of companies. The research was done through documentary analysis and access to quantitative data, with the use of statistical methods for analysis as panel data. The statistical population of the actual study included all companies listed on the India stock exchange from 2017 to 2021. They were selected after screening 128 listed companies. The regression method was used to examine the relationship between variables and to present a forecast model. The results of testing the first hypothesis showed that companies’ costs are sticky and according to the results of this hypothesis, an increase in costs when the level of activity increases is greater than the level of reduction in costs when the volumes of the activities are decreased. The results of the second hypothesis showed a remarkable relationship between the cost stickiness and specific characteristics of companies (size, number of employees, long-term assets, financial leverage, and accuracy of profits forecast). Based on the third hypothesis, there is a notable difference between cost stickiness at different levels of specific characteristics of companies. Therefore, the results show that environmental uncertainty such as COVID-19, increases cost stickiness.

This research investigates the determinants of digital transformation among Vietnamese logistics service providers (LSPs). Employing the Technological-Organizational-Environmental framework and Resource Fit theory, the study identifies key factors influencing this process across different three stages: digitization, digitalization, digital transformation. Data from in-depth interviews with industry experts and a survey of 390 LSPs were analyzed using covariance-based structural equation modeling (CB-SEM). The findings reveal that the factors influencing the digital transformation of Vietnamese LSPs evolve across different stages. In the initial phase, information technology infrastructure, financial resources, employee capabilities, external pressures, and support services are key determinants. As digitalization progresses, leadership emerges as a crucial factor alongside the existing ones. In the final stage, the impact of these factors persists, with leadership and employee capabilities becoming increasingly important.

The purpose of this research was to explore the link between Environmental, Social, and Governance (ESG) performance and corporate financial performance in the Pacific Alliance countries (Mexico, Colombia, Peru, Chile). The study used regression models to examine the correlation between ESG scores, environmental pillar scores, and financial performance metrics like return on assets (ROA) and EBITDA for 86 companies over 2016-2022. Control variables like firm size and leverage were included. Data was obtained from Refinitiv and Bloomberg databases. The regression models showed no significant positive correlations between overall ESG or environmental pillar scores and the financial valuation measures.The inconclusive results on ESG-firm value connections underscore the need for continued research using larger samples, localized models, and exploring which ESG aspects drive financial performance Pacific Alliance.