The article presents a comparative analysis of the flow and utilisation of biodegradable polymer waste in relation to the waste of petroleum-based thermoplastic polymers. It compares energy expenditures and the costs of the reutilisation of both types of plastics in industrial applications. The performed studies and an analysis of the yielded results enabled the acquisition of real data involving the subject of managing petroleum-based plastic waste after the end of its life cycle, as well as biodegradable plastic waste, over the recent years, which is the main purpose of the study. So far, this subject has not been analysed very frequently, and, considering climate change, the predatory economy and the growing population of our planet, it is becoming an important topic, within the scope of which it is necessary to develop a new approach and new solutions regarding legal regulations and social awareness, as well as the technological possibilities of their implementation. The authors’ own research will indicate factual results related to managing various types of waste, based on the example of data acquired from a company involved in the retreatment of plastics and give answers to bothering questions such as: Is there an impact of retreatment on technological indicators defined by means of the mass flow rate? Is the retreatment of biodegradable plastics justified in terms of economy, energy and ecology? Is the retreatment of biodegradable plastics efficient?

The Covid-19 pandemic has complicated business activities at various levels, primarily in terms of work organization. The objective of this research is to determine the significance of organizational culture for employees working in home office conditions. What values and amenities, previously preferred in a company, are missing for employees in remote working conditions at home (RQ1)? Which values of organizational culture were predominant during remote work, playing an important role in home office conditions (RQ2)? Which were lacking (RQ3)? To analyze the above issues, this article used both secondary studies of national reports examining remote work, and the author’s pilot study using an online questionnaire. The research results indicated that remote work during the Covid-19 pandemic, in most cases, did not neglect the key values of organizational culture and the involvement of employees. The biggest problem turned out to be cultivating the values primarily responsible for building trust, honesty, and respect, as well as communication and motivation.

Objective: The article aimed to determine the factors of the implementation and functioning of customer relationship management (CRM) in Polish enterprises, whether they see the benefits and whether they can identify the reasons for choosing specific software and its supplier in the field of CRM systems, and whether the collected data is subjected to effective analyses. The research problem is to determine the determinants of the implementation and operation of the CRM system in Polish enterprises. Due to the lack of detailed research on this topic among Polish enterprises and the emerging need for more and more frequent use of the CRM system, the article attempts to examine this issue. Research Design & Methods: We formulated five research hypotheses adequate to analysing the research problem described in the literature sources. We conducted research using a survey questionnaire with the participation of a professional research panel. We surveyed 261 enterprises. We examined the relationships using the chi-square test (with Yates’ correction). We assessed relationship strength using Cramer’s V coefficient. Furthermore, we evaluated the strength and direction of the relationship using the Gamma coefficient. We subjected the data collected during the research to statistical analysis in Statistica TIBCO 13.3 software. Findings: Research has shown that larger enterprises and those with a greater reach are more willing to use CRM IT systems. Enterprises that have incurred investment expenditure in the last three years also use these systems. The article also has theoretical implications. They allowed us to reveal certain phenomena in organisations and mechanisms. This can serve to create universal theoretical business models. Implications & Recommendations: The article shows business practitioners how vital the application of the CRM system and its constant updating in the light of the latest trends are for their success. Moreover, in theoretical considerations, researchers indicate that companies notice numerous benefits after implementing CRM, such as the ability to make effective business decisions and increased customer loyalty. However, as mentioned in the article, many CRM implementations are fraught with the risk of failure. Contribution & Value Added: The article discusses using CRM systems in business, which are essential in building lasting customer relationships in a rather saturated market. The article is dedicated mainly to practitioners but also to scientists deepening the topic of using CRM.

Artificial Intelligence (GenAI) is fundamentally transforming enterprise operations by facilitating automation, enhancing decision support, and enabling new forms of value creation. Although GenAI offers considerable strategic potential, organizations encounter substantial challenges related to safety, ethics, legal compliance, and operational risk. This paper investigates two primary hypotheses: (H1) the positive impact of GenAI adoption on enterprise performance depends on the effective management of associated challenges and safety risks; (H2) enterprises implementing robust governance frameworks, ethical safeguards, and risk-mitigation strategies are more likely to achieve sustainable value from GenAI, while insufficient oversight may lead to operational, legal, and reputational harm. The study was analytical and validatory in nature. It was conducted using a research methodology consisting in reviewing the latest scientific literature and reports on the topic of GenAI and its impact on enterprises. Its primary goal was not merely to describe the GenAI adoption phenomenon but to analyze specific cause-and-effect relationships (hypotheses) between technology, management, and enterprise performance, using available scientific and empirical evidence.