With the development of e-commerce in Poland, consumer awareness has evolved. Buyers not only compared prices and assessed the quality of products but also began to take into account the impact of their purchases on the environment, which was previously an overlooked aspect. This growing environmental awareness is part of a broader effort to address environmental issues and support practices that promote sustainability. Currently, there is a noticeable increase in ecological awareness among society, government bodies, and the scientific community, strengthening human interaction with the natural environment. The aim of this study was to examine changes in ecological awareness and ecological attitudes among Polish e-consumers over ten years and their impact on online shopping behavior. This study explored how the ecological attitudes of Polish e-consumers have evolved over the last decade and what impact these changes in environmental attitudes have had on the online purchasing behavior of these consumers. Longitudinal studies were used to enable the analysis of changes over time. The research technique was based on repeated measurements of the same phenomena and features, carried out on diverse research samples from the same population, using the same methods and tools. This study was conducted twice, in 2010 and 2020, on a sample of 1150 people in each of these years. This research employed an online survey questionnaire, which included scales for assessing the personality traits of e-consumers and the determinants of online shopping. A significant change was found in e-consumers’ attitudes towards the natural environment and their purchasing preferences. This change has had a clear impact on purchasing behavior, including an increase in the importance of convenience, access to detailed product information, and a wide range of products offered, reflecting more conscious and convenience-oriented consumer behavior.

The aim of this study is to assess the level of awareness and readiness of organizations to implement the assumptions of Industry 5.0, as well as to identify the benefits and challenges associated with this process. The paper makes an original contribution by combining empirical analysis with the proposal of a practical model, enabling a better understanding of the technological and social transformation process in Polish organizations. The article presents an original model for implementing the assumptions of Industry 5.0, integrating technological, social, and organizational aspects, offering a comprehensive approach to transformation towards sustainable and human-centered development. The study was conducted among 556 Polish companies from five sectors: IT, automotive, industrial, service, and banking/financial, using a non-random sampling method and data analysis through techniques such as association rules and hierarchical clustering. The research results indicate that most organizations are familiar with the basics of the Industry 5.0 concept (25% full knowledge, 66% partial knowledge), but only a portion is engaged in the transformation process (59%), which typically takes place gradually (53%). The most commonly reported benefit of Industry 5.0 by organizations was improved product and service quality (73%), while the most frequently cited challenges included the need for staff training (58%), ensuring data and network security (53%), and modernizing infrastructure and systems (52%). Benefits such as improved product quality, increased production efficiency, and cost optimization are primarily recognized by companies in the IT and industrial sectors. At the same time, challenges such as the need to modernize infrastructure and ensure data security, as well as implementation costs, remain significant barriers, particularly for small- and medium-sized enterprises. The research findings have practical significance as they provide companies and decision-makers with guidance on effective planning and implementation of actions related to the implementation of Industry 5.0.

W artykule dokonano charakterystyki wykorzystania Business Intelligence (BI), rozwiązań Big Data (BD) oraz Competitive Intelligence (CI), omówiono wykorzystanie tychże systemów w działalności organizacji. W dalszej części zaprezentowano wyniki badań dotyczące rozpoznania stopnia, zakresu oraz perspektyw wykorzystania rozwiązań systemów klasy BI, CI oraz Big Data w przedsiębiorstwach województwa śląskiego. Badanie opiera się na: (1) krytycznej analizie literatury przedmiotu dotyczącej BI, CI oraz BD, jak i na (2) prezentacji wybranych wyników badań ankietowych dotyczących wykorzystania wyżej wymienionych rozwiązań informatycznych w organizacjach. W ramach projektu badawczego przeprowadzono badania, które miały charakter bezpośredni i były wykonane za pomocą kwestionariusza ankietowego. Badanie przeprowadzono wśród firm z branży produkcyjnej, usługowej oraz handlowej.

Theoretical background: These studies are motivated by three reasons: (1) the Competitive Intelligence (CI) approach is a critical factor in increasing the organization’s ability to monitor and strengthen competitive advantage; (2) too little research has been done on the use of new management theories in the CI approach and (3) there is no research devoted to computer-assisted CI. Purpose of the article: This study proposes a comprehensive framework for extending the CI’s potential in the organization’s activities and its computer-assisted support. The purpose of this article is to develop a new CI construction theory and propose a holistic, conceptual CI model, as well as carry out its initial verification. Research methods: The comprehensive CI model is based on the following theories: (1) Resource-Based View (RBV), Industrial Organization (IO) and Business Model Canvas, which were used for CI design, (2) theories for measuring and validating CI implementation, i.e.: Competitive Profile Matrix (CPM), Industrial Critical Success Factors (ICSF) and (3) theories for integrated computer-assisted CI. The validation of the proposed comprehensive CI model was based on data on the opinions of SUV class users. Main findings: The results obtained during the validation of the CI model show great importance for a comprehensive look at the topic of computer-assisted CI. This contribution is significant because in the literature there are no such studies and conclusions obtained from them. The results obtained and conclusions should be useful for all organizations that need to analyze competitiveness using a comprehensive CI model.

Digitalization and artificial intelligence (AI) are seen as promising pathways for small and medium-sized enterprises (SMEs) to enhance performance while preserving environmental and social resources. This paper identifies organizational determinants of AI maturity that can enable SMEs to use AI in a more sustainable, responsible, and capacity-enhancing manner. AI adoption becomes relevant to sustainability not only because a company adopts advanced technology but because this technology is embedded in leadership practices, employee competencies, interdisciplinary collaboration, and organizational learning. From this perspective, perceived benefits and management commitment are not outcomes of sustainability but mechanisms that help explain how SMEs transition from technological awareness to building organizational capacity. Such capacity building can be a necessary prerequisite for subsequent sustainability-oriented outcomes, such as efficient resource utilization, employee upskilling, responsible AI management, and long-term resilience. We conducted a cross-sectional survey among 402 managers from Polish SMEs (62 micro, 193 small, 147 medium) across manufacturing, services and trade industries. Respondents (mean age ≈ 42.5 years) assessed perceived benefits of AI, engagement of top leadership, AI maturity and competitive pressure. Partial least-squares structural equation modeling revealed that perceived benefits strongly predicted leadership engagement (β = 0.647), explaining 62.8% of its variance. Perceived benefits (β = 0.384) and leadership engagement (β = 0.362) in turn were the key drivers of AI maturity, with the model accounting for 65.5% of variance in AI maturity. Competitive pressure positively but weakly moderated the relationship between perceived benefits and leadership engagement (β = 0.011), while its moderating effect on the relationship between perceived benefits and AI maturity was not significant (β = −0.008). These findings suggest that articulating clear benefits of AI and securing active leadership engagement are more decisive for advancing AI maturity than external competitive pressure. The contribution of the study is to integrate the perceived benefits of AI, top management commitment and AI maturity into a model, empirically validated and interpreted from a socio-technical perspective of sustainable digital transformation in SMEs, while quantifying the moderating role of competitive pressure in the under-researched context of Central and Eastern Europe. For practitioners, investing in awareness of AI’s benefits and developing committed leadership may yield more sustainable digital transformation than reacting solely to external pressures.

The aim of this study is to assess the level of awareness and readiness of organizations to implement the assumptions of Industry 5.0, as well as to identify the benefits and challenges associated with this process. The study was conducted among Polish companies from five sectors: IT, automotive, industry, services, and banking, using a non-random sampling method and data analysis through techniques such as association rules and hierarchical clustering. The research results indicate that most organizations are familiar with the basics of the Industry 5.0 concept, but only a portion are engaged in the transformation process, which typically takes place gradually. Benefits such as improved product quality, increased production efficiency, and cost optimization are primarily recognized by companies in the IT and industrial sectors. At the same time, challenges such as the need to modernize infrastructure, ensure data security, and implementation costs remain significant barriers, particularly for small and medium-sized enterprises. The research findings have practical significance as they provide companies and decision-makers with guidance on effective planning and implementation of actions related to the implementation of Industry 5.0. The article presents an original model for implementing the assumptions of Industry 5.0, integrating technological, social, and organizational aspects, offering a comprehensive approach to transformation towards sustainable and human-centered development. The paper makes an original contribution by combining empirical analysis with the proposal of a practical model, enabling a better understanding of the technological and social transformation process in Polish organizations.