The study focuses on analyzing the impact of corporate social responsibility (CSR) on economic growth and reducing inequality, highlighting the importance of CSR in achieving sustainable development and social justice. The main aim is to analyze how different CSR initiatives contribute to economic development, social prosperity, and the reduction in inequality by reviewing the methods used to assess their impact. The research methodology includes a detailed literature review, bibliometric analysis and scientific mapping, surveys of various business organizations, and a gap analysis regarding the identification of gaps between the current state of CSR activities and the expected outcomes. The research shows that companies perceive CSR as a key tool for improving corporate image, responding to stakeholder expectations, and investing in social justice. Despite positive intentions, challenges include the lack of clearly defined methodologies for measuring the impact on economic inequality, as well as difficulties in assessing the long-term effects of CSR initiatives. Key conclusions highlight the need for more structured approaches to assessing the social and economic effects of CSR, recommending that companies improve their transparency and accountability and implement clear indicators of success to achieve sustainable economic and social outcomes.

The research focuses on the attitudes and readiness of organizations to integrate Artificial Intelligence (AI) technology into their internal business processes. The present study aims to determine how organizations perceive technological innovations related to AI. Specific goals include measuring the degree of readiness and acceptance of technological innovations by organizations, as well as identifying factors influencing the success or failure of this process. The main object is AI technology and its potential for enhancing the efficiency of internal business process management. The significance of this analysis is threefold, providing valuable information on current trends and challenges in internal business processes and their transformation under the influence of AI. In the course of the study shall be justified the thesis that AI technology holds significant potential for optimizing internal business processes, that is not yet fully realized and utilized due to various obstacles. Overcoming these obstacles is possible through individualized strategies, the establishment of ethical standards, active training, and other measures that contribute to the successful integration of artificial intelligence into organizational dynamics. The methodology includes a comprehensive literature review combined with the use of questionnaire surveys, Gap analysis and SWOT analysis. The main conclusions are related to the diversity in motivations among surveyed companies, necessitating differentiated strategies. Improving operational efficiency and customer service, and enhancing competitiveness, transpire as driving power for AI implementation. Evaluating attitudes reveals differences in readiness among business organizations, resp. some of them actively taking steps to implement AI, while others are still exploring possibilities or are uncertain about the overall approach to adopt. The recommendations for organizations are multifaceted. Constantly exploring new technologies and updating approaches are necessary for a sustainable transition to more intelligent business process management.

Digital transformation is fundamentally changing the approach to natural resource management in both the private and public sectors. In the context of increasing regulatory requirements and growing pressure on companies to integrate sustainable business models, digital technologies offer new opportunities for monitoring, optimization and transparency. At the same time, the public sector has an important role to play in stimulating sustainable practices through regulations, public policies and smart resource management. The mechanism of responsible governance in the context of digital and sustainable transformation is the object of the study and the aim is to analyze and evaluate how digitalization and sustainable management strategies can support effective natural resource management in the private and public sectors, focusing on the role of CSR. The objectives are: to investigate the main digital technologies and their application in natural resource management; to analyze the ESM strategies in enterprises and their impact on sustainable management; to assess the role of the public sector in supporting digital sustainable practices; to identify synergy between the public and private sectors for more effective natural resource management. The research thesis is that the successful combination of digital technologies and sustainable management practices leads to more effective and transparent natural resource management in both the corporate and public sectors, with CSR acting as a bridge between the two sectors. The results are expressed in: 1) digital technologies significantly improve natural resource monitoring, analysis and management. 2) ESG reporting and CSR are key enablers for integrating sustainable strategies into business, with management increasingly using automated platforms to assess environmental impacts. 3) the public sector plays an important role in promoting sustainable transformation through regulations, subsidies and smart infrastructure projects. 4) there are significant opportunities for synergy between business and the public sector through partnerships, data sharing and innovation in natural resource management.

In the context of growing global challenges related to climate change, urbanization and the need for sustainable development, green technologies and smart city projects play a decisive role in the transformation of modern societies. Their potential to reduce environmental footprints, optimize resources and improve quality of life makes them an integral part of strategies for a sustainable future. The study focuses on the interaction between green technologies and smart city projects. It aims to analyze the synergies between them, highlighting their potential and contribution to sustainable development. The following objectives have to be settled for reaching the above-mentioned goal: 1. to research the main characteristics and types of green technologies; 2. to analyze the principles and best practices of smart city projects; 3. to identify the opportunities for synergies between the two concepts in the context of sustainability; 4. to assess the environmental, economic and social benefits of the integration of these approaches; 5. to formulate recommendations for enterprises and the public sector on the implementation of green technologies in smart city systems. In the course of the study shall be justified the thesis that the integration of green technologies in smart city projects not only contributes to sustainable development, but also creates innovative platforms for effective natural resource management, pollution reduction and quality of life enhancement in urban areas. The methodology includes a comprehensive literature review, structured interview, needs analysis, gap analysis and SWOT analysis. The expected results are: clarification of the relationship between green technologies and smart city projects; assessment of successful examples of synergies between these approaches; formulation of recommendations for business and public sector to support their implementation; identification of the main challenges and barriers related to the integration of the researched innovations.