In recent years, procurement managers have introduced environmental considerations into supplier selection and evaluation as a response to strict environmental regulations implemented by governments. Although previous research investigated the selection of eco-friendly suppliers, little research has been conducted on the significance of the wide range of selection criteria used by industrial customers. The aim of this study was to address this gap and examine the difference in the perceived importance of the selection criteria versus the performance achieved using the selection criteria, in addition to the difference in the business performance and the total supply performance. By investigating the selection criteria of manufacturers in the market environment, this study aimed to demonstrate how their business performance was affected by the performance of suppliers in relation to such criteria. To accomplish this task, this study conducted an empirical analysis based on the questionnaire responses of 72 purchasing managers working in the electrical/electronic and heavy chemical industries. Based on previous research, the following six supplier selection factors were identified: eco-friendliness, quality, relationship, flexibility, delivery, and price/finance. By using statistical analyses, including sample t-tests and multiple regression analysis, this study identified a correlation between supplier and manufacturer performance. The findings show that some factors, such as eco-friendliness, flexibility, price, and delivery, were statistically relevant to the performance of manufacturers, which added value to the decision-making strategy employed in supplier selection.

The article developed and tested tools for assessing the impact of debt financing of energy saving projects on the financial sustainability of those enterprises that implement these projects. In particular, an indicator for assessing the level of financial stability of business entities is proposed. The calculation of this indicator is based on a comparison of the forecast value of the flow of income of the enterprise, which it can use to fulfill its obligations to creditors, with the minimum allowable value of this flow, at which these obligations will be guaranteed to be fulfilled by the enterprise. A model for assessing the impact of debt financing of energy saving measures at enterprises on the level of their financial stability has been developed. Analytical expressions have been established for the limiting values of the part of the loan financing of energy-saving projects, under which the financial stability of the enterprise after the implementation of these projects will not decrease or will be at the minimum acceptable level. This made it possible to identify the conditions under which the introduction of investment measures at enterprises aimed at improving energy efficiency leads to an increase in the level of financial stability of business entities. These conditions provide for a limitation on the share of borrowed funds in the structure of sources of financing for energy saving projects, taking into account the forecast values of return on investment and other indicators that affect the ability of enterprises to fulfill their loan obligations in a timely manner. An empirical analysis was carried out on a sample of Ukrainian enterprises belonging to three types of economic activity. This analysis showed, in particular, that an increase in the investment activity of enterprises in the field of energy conservation has a positive impact on their level of financial stability. It was also found that the increase in the share of debt financing of energy-saving projects, to a certain extent, negatively affected the financial stability of the enterprises that implemented these projects. However, at any level of debt financing, the implementation of energy-saving projects made it possible to increase the average financial stability of the companies under study. The purpose of the article is to develop and use tools for assessing the impact of debt financing of energy saving projects on the financial sustainability of those enterprises that implement these projects.

The age of entrepreneurship calls for the evolving of learning and development (L&D) models to meet the dynamic demands of innovation, sustainability, and technology innovation. This study examines the trends and issues of L&D models for entrepreneurs, more so focusing on how these models influence business success in a rapidly changing global landscape. The research employs bibliometric analysis, VOSviewer cluster analysis, and co-citation analysis to explore the literature from 1994 to 2024. Data collected from the Web of Science Core Collection database reflect significant trends in entrepreneurial L&D, with particular emphasis on the use of digital tools, sustainability processes, and governance systems. Findings emphasize the imperative role of L&D in fostering entrepreneurship, more so in areas such as digital transformation and the adoption of new technologies. The study also identifies central regions propelling this field, such as UK and USA. Future studies will be centered on the role of digital technologies, innovation, and green business models within entrepreneurial L&D frameworks. This study provides useful insight into the future of L&D within the entrepreneurial domain, guiding academia and companies alike in the planning of effective learning strategies to foster innovation and sustainable business growth.

Background: This systematic assessment of 408 research publications from 2004 to 2024 examines how talent management (TM) improves supply chain optimization (SCO). Objective: The main goal is to find and study TM CSFs that affect SCO. The research distinguishes internal elements (consumer expectations, flexibility, and cost reduction) from external aspects (human capital and sustainability) and provides insights into successful TM techniques that enhance supply chain performance. Methods: This research examines talent management (TM) and supply chain optimization (SCO) using a systematic literature review and bibliometric analysis. The study maps co-occurrence networks and significant themes using VOSviewer and RStudio on 408 Web of Science articles. TM’s influence on SCO is assessed by categorizing key success factors (CSFs) and showing trends, topic clusters, and literature gaps. Results: show that strategic TM practices including personnel planning and performance management improve operational efficiency, innovation, and market response. The paper also emphasizes TM integration into supply chain strategy by highlighting TM and SCO developments. Implications: This study highlights the relevance of TM in SCO and lays the groundwork for future research on TM and SCO.