The concept of open innovation is currently one of the key issues regarding the innovative development of micro, small, and medium enterprises (SMEs). It has been the subject of research both in the theoretical and empirical context. At present, there is no unambiguous definition conceptualizing the conceptual scope of open innovation (OI). However, enterprises do not always decide by themselves to be open to the environment. Therefore, determinants are important, as they encourage enterprises to greater openness, which can be treated as a key element of a value chain for SMEs, contributing to their innovative development. Classification of these determinants (also named as factors) is very poor in the literature. Generally, internal and external determinants are identified. Authors decide on the selection of these factors and their division by themselves. The research presented in this article has indicated the existence of several significant regularities. Firstly, larger entities are more likely to use the OI concept. Secondly, market determinants are the most important for the use of OI among SMEs. Thirdly, both internal and external determinants have a huge impact on the application of the OI concept, with external determinants being more significant for smaller rather than larger entities. The conclusions drawn were a consequence of the assumed aim of the article: The assessment of the influence of determinants that affect the use of the OI concept among SMEs in Poland.

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As part of the assumptions of Industry 4.0. many modern technologies are developing. One of them is robotic process automation (RPA). It allows the replacement of human labor with robots, thus increasing the production capacity of enterprises. In practice, the implementation of RPA takes place through two solutions (models): using the services of an external entity offering RPA (service insourcing) or creating your own center of excellence (CoE). The use of both solutions is influenced by numerous conditions (determinants), among which we can mention benefits on the one hand and threats on the other. They are very different and depend on the model used. In this article, attempts were made to identify and determine their impact on the selection of the appropriate model from the point of view of the company (the purpose of the article). The research used two cases of entities implementing RPA on the basis of opposites, i.e., two different models, in which the discussed technology is treated as an important element of their automation. The achieved results indicate that there is no universalism, and their dominant feature is individualism concerning both enterprises and the solutions they implement. This is undoubtedly the effect of the currently too shallow RPA market, as well as the small number of entities using technologies based on intelligent systems. This is a serious research gap, which along with RPA growth will be reduced as a result of more and more intensive research in this field.

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Within the broadly understood concept of Industry 4.0, many intelligent systems featuring artificial intelligence are used. Their importance in recent years has been growing. That can be attributed to a number of notable advantages these systems provide, including the possibility of expanding the manufacturer’s offer, greater customization of products, which facilitates reaching niche markets, as well as better internal and/or external communication (between the company and the consumer). Six such systems are brought into focus: The Internet of Things, Data Base, Cloud Computing, Blockchain, SCADA (Supervisory Control and Data Acquisition), and SMAC (Social, Mobile, Analytics, Cloud). The aim of the study was to assess their relevance and impact on the market position of enterprises in Poland. The analysis is based on the research carried out by the authors in 2020 on a sample of production companies that use logistic supply chains in their operations. The conclusions are to some extent surprising, e.g., the companies do not believe that implementing intelligence systems gives them significant market advantage nor that the positive impact of these systems depends directly on the number of systems used.