The present paper investigates the adoption of green manufacturing approaches among industrial enterprises in Slovakia, emphasizing the interplay between institutional pressures and enterprise-level resources. Based on a survey of 88 enterprises from energy- and material-intensive sectors, the study evaluates how regional context and enterprise size influence the adoption of green practices. Using logistic regression and the chi-squared test, the findings reveal minimal regional variation, suggesting strong isomorphic effects of harmonised European Union environmental regulations. In contrast, enterprise size significantly correlates with the adoption of complex green practices, confirming the relevance of the resource-based view. These results highlight the dominance of internal capabilities over regional factors in green transition pathways within small post-transition economies. The study contributes to cross-national theorising by showing how resource asymmetries, rather than institutional diversity, shape environmental behaviour in uniform regulatory environments. Specifically, the paper examines how institutional pressures, enterprise-level resources, stakeholders, and legitimacy influence the adoption of green manufacturing practices in Slovak industrial enterprises. The study draws on institutional theory, the resource-based view, stakeholder theory, and legitimacy theory to explore the relationship between enterprise size, regional location, and the adoption levels of green manufacturing.

In the context of digital transformation and the use of big data technologies, this study shows the potential and possible applications associated with using big data, depending on the respective logistics area. The evaluation of this potential follows a logistical target system, which has been expanded to include ethical and sustainable aspects in line with the challenges of the 21st century. Furthermore, the status quo of the degree of digitization is determined, problems in understanding the terminology are shown, and cognitive and technical prerequisites and recommendations for action concerning the use of big data technologies (e.g., cobots) are derived. The survey methodology was based on a quantitative research method in the form of a survey. The article aims to provide the building blocks for a holistic approach (economic, ecological, and social) for politics and companies and to derive recommendations for action in logistics. The challenge is to find an alternative to conventional research, which examines big data almost exclusively for growth targets and optimization potential. Ecological and social goals should also be included here as an unchangeably fixed point and a normative limit as a value compass for business decisions. To close this research gap, it is necessary to evaluate the potential of logistics in connection with big data solutions to derive specific applications, their applications, and recommendations for action. This article presents an excerpt of the results.

The aim of the article is to propose ways to increase the functioning efficiency of the newly created workplace with regard to the course of the processes themselves, as well as of the working conditions of the affected employees in the selected company, dealing with the production of refrigeration and air conditioning units for automobiles. The automotive market is primarily customer-oriented, to which companies strive to meet and deliver high-quality products that are different from their competition. To ensure this goal, it is necessary to acquire theoretical knowledge in the field of organization and structure of the production process. It is also necessary to analyse problematic points of the newly created working zone on the basis of observations and interviews with employees. The essence of streamlining the workplace and improving the working conditions of employees lies in the identification, analysis and elimination of shortcomings, that have arisen mainly due to dynamic changes and rapid implementation of the working zone in the corner of the production hall. Based on the identified deficiencies, the authors of the paper have proposed corrective actions and have analysed the results of the improved condition.