The innovation capability of a company is considered the determinant of its competitiveness in the long-term. Therefore, it is of increasing importance to understand the critical variable behind a firm’s innovation capability. The paper explores these issues and contributes to the research on the factors that drive a company’s innovation capability. The aim of the paper is to identify which factors determine the innovation capability of manufacturing enterprises operating in Poland. In the theoretical part, it provides an overview of recent contributions to the literature on a company’s innovation capability enhancers. The empirical contribution of the paper refers to recognising the relationship between the certain practices pursued by Polish manufacturing enterprises and their innovation capability measured by innovation output. Using a model for panel data, the study finds that that the factors driving innovation capability of manufacturing enterprises operating in Poland are the following: inter-organisational cooperation, hiring employees in research and development (R&D) activities as well as firms’ internal expenditures on R&D. The study is based on the data from publications of the Central Statistical Office of Poland, which contain information on the activities of manufacturing enterprises and reports presenting the results of research on the innovation capability of enterprises.

The use of artificial intelligence (AI) in companies is advancing rapidly. Consequently, multidisciplinary research on AI in business has developed dramatically during the last decade, moving from the focus on technological objectives towards an interest in human users’ perspective. In this article, we investigate the notion of employees’ trust in AI at the workplace (in the company), following a human-centered approach that considers AI integration in business from the employees’ perspective, taking into account the elements that facilitate human trust in AI. While employees’ trust in AI at the workplace seems critical, so far, few studies have systematically investigated its determinants. Therefore, this study is an attempt to fill the existing research gap. The research objective of the article is to examine links between employees’ trust in AI in the company and three other latent variables (general trust in technology, intra-organizational trust, and individual competence trust). A quantitative study conducted on a sample of 428 employees from companies of the energy and chemical industries in Poland allowed the hypotheses to be verified. The hypotheses were tested using structural equation modeling (SEM). The results indicate the existence of a positive relationship between general trust in technology and employees’ trust in AI in the company as well as between intra-organizational trust and employees’ trust in AI in the company in the surveyed firms.

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The present study investigates the country-specific determinants of intra-industry trade between Poland and its European Union trading partners in agricultural and food products during the time period 2002-2011. An econometric model for panel data is applied for the analysis of the factors determining Polish bilateral intra-industry trade with European Union countries. The research leads to the formulation of a statement that the intensity of intra-industry trade in agricultural and food products is positively influenced by the intensity of trade with EU countries and the level of economic development of the member countries (as measured by the size of their GDP per capita). Increase in intra-trade turnover is also facilitated by EU membership and by the fact that Poland's trade partners use similar Slavic-based languages. Relative differences in the size of the economies and relative differences in Poland's and its trading partners' levels of economic development have a negative impact. The degree of the imbalance of trade turnover between trading partners also negatively influences the intensity of intra-trade exchange. The research confirms that the impact of all of the identified factors determining intra-industry trade is consistent with the predictions of the theory.

This study has investigated the country-specific determinants of intra-industry exchange between Poland and its European Union trading partners during the time period 2002–2011. The analysis of the factors determining the Polish bilateral intra-industry trade with European Union countries applied an econometric model for panel data. As follows from the research, the intensity of intra-industry trade is dependent on numerous factors. The factors that exert a positive impact on the development of intra-trade exchange include the participation of processed products in bilateral trade between Poland and UE states, the intensity of trade with specific countries as well as the size of a partner country measured by its GDP per capita. Increases in the intra-trade turnover are also facilitated by EU membership and by the fact that Poland’s trade partners use a similar language, belonging to the group of the Slavic languages. The intensity of intra-trade exchange is weakened by the degree of the imbalance of trade turnover between trading partners, geographical distance that separates trading partners and significant differences in the size of trading partners’ GDPs.