To achieve organizational performance excellence, modern organizations have not only the option but the necessity to adapt and implement corporate sustainability (CS) practices. CS changes previous business models, taking into account environmental and social aspects, thereby determining the success of the organization. The implementation of CS is, however, reinforced or limited by a number of internal and environmental factors. The main research goal was therefore to identify and evaluate the mechanisms linking perceived organizational support (POS) and entrepreneurial orientation dimensions such as autonomy (AU), risk taking (RT), competitive aggressiveness (CA) and innovativeness (IN) with CS. In order to verify the research hypotheses, a survey was conducted on a group of 200 small and medium-sized enterprises in 2022. A managerial approach was used in the study. The respondents used a 5-point Likert scale for the assessment of their attitudes and opinions. The relationships have been examined using structural equation modeling. The findings reveal that the type of enterprise moderates the relation between perceived organizational support and corporate sustainability, and innovativeness mediate this relation.

The implementation of Industry 4.0 concept brings many risks mainly for small and medium-sized enterprises (SMEs). The objective of the study is a diagnosis and comparison of the perception of selected risk issues connected with Industry 4.0 implementation in Slovak and Polish SMEs, which have knowledge or experience with cluster cooperation. This category of SMEs is specific due to the fact, that not all of the SMEs have experience with cluster cooperation or know this form of doing business. For this purpose, the questionnaire survey of 787 respondents was conducted, focused on the risks of Industry 4.0 that are the most important for SMEs included in three categories: technical readiness, risks of innovation and risks of information. The statistical analysis of the survey results with the application of software STATISTICA and Social Science Statistics calculator leads to the conclusion that, except for the kind of risk of “New products and services”, all the observed risks are perceived as higher by Slovak SMEs than by Polish SMEs. The novelty of this research and its contribution to the body of knowledge lies in identification and evaluation of most important risks for specific group of SMEs related to Industry 4.0 implementation compared in two countries. The results of this research provide useful information for the practical fine-tuning of the policy aimed at transfer to Industry 4.0 in specific field – cluster cooperation, depending on the size of the enterprise.

Volatility and complexity factors determines the management and decision-making approach in organization. The aim of this paper is to point out that the specific features of company environment (complexity, uncertainty, limitation of skills and abilities) necessitate them to search for new management approaches that fit in with the new challenges. The features of the areas of complex system and complexity decision-making have been indicated as elements one of selected sense-making approach - Cynefin. Cynefin has been used in a range of contexts to support decision-making in dynamic and challenging situations. We conclude how this approach may help in management and complexity decision-making support

Entrepreneurship and Sustainability Issues is a peer-reviewed journal which publishes original research papers and case studies

Management of business processes is a comprehensive approach to implementation of the objectives of an organisation. It concentrates on optimising the ways business processes are run in organisations in order to increase effectiveness of operations within an organisation. The aim of this paper is to identify and analyse an enterprise's orientation on process management and to identify the limitations in the process approach to an enterprise management. To achieve this aim, a questionnaire survey was conducted in 2015 examining enterprises and business processes they perform. It enabled identification of statistical relationships with reference to selected categories of enterprises and verification of the research hypotheses which defined, among other things, level of entrepreneurs’ knowledge and orientation on processes occurring in an enterprise management