The purpose of this paper is to explain how national innovation systems may transform innovation input into innovation output in different counties. Using the Global Innovation Index (GII) we discuss what can be understood by the term ‘innovation’ and how it is translated into the national level. The research question is founded on the assumption that the higher the innovation input, the higher the innovation output attained by a country. We use cluster analysis to verify our assumption, referring to a total of 228 countries. Afterwards we conduct a more in‑depth analysis of two cases (Poland and Bulgaria), where the research question does not find confirmation. Using the cross‑comparison method we aim to verify how and why national innovation systems failed (or succeeded) in creating innovations.

Purpose: Although several theoretical concepts imply different determinants of female entrepreneurship, the literature lacks a consensus on their significance. The aim of this paper is to verify how industry specificity influences the gender pay gap and its relation to female entrepreneurship.Design/methodology/approach: The authors distinguish industries based on the gender equality level, measured jointly by two factors: pay gap level and female participation rate. The study has been conducted among 22 European countries with relatively similar institutional backgrounds. The authors carry out the analysis based on the panel regression models, which enable the authors to verify two predefined research questions.Findings: The results of panel regression models indicate that industry specificity plays a significant role in the relation between the pay gap and female entrepreneurship. Generally, it can be concluded that gender pay gap as a measure of gender inequality is dependent on the industry specificity. The dependence is especially visible in the breakdown of male- and female-dominated industries.Originality/value: The findings are consistent with the assumption that the gender pay gap is a discriminatory factor for women willing to become entrepreneurs in certain industries. The findings of the study may constitute a vital tool in planning to overcome it.

Purpose: The outbreak of the coronavirus pandemic (COVID-19) has severely disrupted businesses around the world. To address the impact of operational and strategic business disruptions, this paper contributes to the practice of a firm's management in terms of identifying the determinants of organizational resilience (OR) and creating a hierarchical model of the potential sources of a firm's adaptive capability. Design/methodology/approach: A novel research framework integrating Pareto analysis, grey theory and total interpretive structural modeling (TISM) has been applied to, first, identify the sources of a company's resilience and, second, to determine contextual relations among these sources of OR. Findings: The findings of the survey highlight three primary sources that allow companies to build companies' resilience: access to financial resources, digitization level and supply chain (SC) collaboration. The authors' model shows that resilience cannot be viewed as a particular feature but rather as a dynamic intertwined network of different co-dependent sources. Research limitations/implications: The proposed hierarchical model indicates that the most crucial sources of company's resilience in the recent pandemic are access to financial resources, digitization level and SC collaboration. Originality/value: The study takes an original investigation on cognitive grounds, touching on the problem of firms' resilience to the unique nature of the crisis caused by the COVID-19 pandemic. The study also represents one of the few attempts to use integrated Pareto analysis, grey theory and TISM to examine this critical area of firm management.

Objective: Female entrepreneurship rates vary strongly across countries and industries. The aim of this paper is to verify what determines female entrepreneurship in male-dominated industries and female-dominated industries and whether the differences between those types of sectors are significant. Research Design & Methods: We use panel data across 7 European countries in the timespan of 2009-2018 to verify our assumptions. We study the Construction (NACE F) and Human Health and Social Work Activities (NACE Q) industries. Findings: The research shows significant differences amongst the determinants of female entrepreneurship in male-dominated and female-dominated industries. Industry-specific determinants play an important role in male-dominated industries and a much lesser role in female-dominated ones. Contribution & Value Added: The conducted research indicates the necessity of including the industry-perspective in studies on female entrepreneurship. Previous studies have frequently neglected this aspect, paying more attention to country-specific determinants.

The use of film material has a long tradition in management education and calls for dedicated video case studies date back more than 30 years. Against this backdrop and an incoming student generation that has grown up with digital technology, we assess the current use of stand-alone video case studies in international business (IB) teaching. Using survey data from IB scholars and students, we examine the usefulness of video case studies, the main barriers for and the (un)exploited potential of video case studies. While we find relatively modest use of video case studies in IB teaching to date, we also find strong interest by lecturers and students to expand their use. In particular, there seems to be a student preference and need for real-life, manager-led, and problem-solving video cases.

Objective: The objective of the article is to conceptualize and systematize the most relevant dimensions and issues of migrant entrepreneurship based on the literature review. Research Design & Methods: In the article, we applied a narrative literature review. We identified. relevant publications by indicating keywords that allowed for the selection of publications relating to the examined problem. We assumed an 11-year research period (2013-2023) and selected the Scopus database for the articles selection. Findings: The study revealed that although there are similarities among various categories of migrant entrepreneurs, they also display notable differences in their preceding circumstances, variables contributing to their success, and characteristics that moderate their outcomes. The study recognises and conceptualises diverse migration motivation (forced, voluntary, or next generation), and dominant embeddedness (home country, host country or international embeddedness) as factors impacting the key characteristics of migrant entrepreneurship types. Implications & Recommendations: The article suggests that customised assistance programmes are essential for various categories of migrant entrepreneurs, considering their distinct motivations and integration into the community. The recommendation is to develop focused programmes that target the individual issues encountered by each group, promoting both their assimilation and global economic growth. Contribution & Value Added: The significance and merit of this article reside in its comprehensive review of several categories of migrant entrepreneurship including transnational, diaspora, ethnic, refugee, and returnee entrepreneurs. It helps to develop a more nuanced understanding of these entrepreneurs. This framework facilitates the identification of various entrepreneurial trajectories and the distinct obstacles and prospects encountered by diverse migrant communities.