Abstract In the present study, several logit models were tested to identify the antecedents of entrepreneurial intention among the youth of Bosnia and Herzegovina (B&H). Specifically, we explore whether demographic and socio-economic characteristic or whether perceptions of education curriculum and social and political engagement as well as the perception of media influence have an impact on the intention to start one’s own business. Data analysis was done on a sample of 3,611 young people. Education level and perception of the standard of living have an impact on the attitude towards self-employment. In addition, the perception of education curriculum and parents support in education is linked with the entrepreneurial intention. Furthermore, some campaigns of social and political engagement are significant predictors of the propensity towards starting the business. Finally, the perception of media influence impacts entrepreneurial intention positively. The findings have important implications for policymakers and universities.

Abstract This study investigates the impact of perceived formal, informal and regulatory support on entrepreneurial intention. In addition, entrepreneurial capacity and fear of failure are analyzed as predictors of the propensity toward entrepreneurship. An empirical analysis of students in B&H finds that informal support perceived as support of family and friends exert a significant positive influence on entrepreneurial intentions. Fear of failure has a significant adverse impact on entrepreneurial intentions while entrepreneurial capacity enhances entrepreneurial intention. The negative relationship between the fear of failure and entrepreneurial intention is moderated by informal support. In other words, support by family and friends dampens the negative relationship between fear of failure and entrepreneurial intention. The findings were confronted with an ex-post literature review.

Abstract This paper explores the impact of education-job mismatch on the net income of workers in the context of Bosnia-Herzegovina. We used an OLS linear regression method on data from the Measure BiH Youth Survey. A log-transformation of the dependent variable created the left-side semilog functional form, which is typically used in models of the earnings of individuals. Our findings strongly support the statement that education-job mismatch has a significant effect on net income. Workers can expect net income differences between 13% and 15% if their level of education does not match that required for their job. However, our results show that the impact of education-job mismatch depends on the level of schooling and age of respondents. Results regarding education-job mismatch vary across studies, but our study is the first to examine the effect of education-job mismatch on net income in the context of Bosnia-Herzegovina. Second, the effect of education-job mismatch might depend on the choice of estimation method for incidences of overeducation and undereducation. Third, we emphasise the importance of understanding interactions, and fourth, we introduce new variables to understand how they influence earnings. These include religiousness, and the importance of belonging to a family, or a particular city.

* Selma Smajlović, PhD., Senior Teaching Assisent, (corresponding author), University of Tuzla, Faculty of Economics, Bosnia and Herzegovina, Univerzitetska 8, BiH 75000 Tuzla, Phone: +387 35 320 820, E-mail: selma.smajlovic@untz.ba ** Bahrija Umihanić, Ph.D., Full Professor, University of Tuzla, Faculty of Economics, Bosnia and Herzegovina, Univerzitetska 8, BiH 75000 Tuzla, Phone: +387 35 320 820, E-mail: bahrija.umihanic@untz.ba *** ̋Lejla Turulja, Ph.D., Assistant Professor, School of Economics and Business Sarajevo, Bosnia and Herzegovina, Trg oslobodjenja – Alija Izetbegovic 1, Phone: +387 33 275 970; E-mail: lejla.turulja@efsa.unsa.ba Abstract. This study aims to clarify the relation between technological innovation and business model innovation and their shared impact on the business success of medium and large enterprises. Drawing on the ResourceBased View, this paper offers a comprehensive research model that analyses the relationships between technological innovation and business model innovations and their impact on business success. Structural Equation Modelling is utilized for the analysis of a dataset collected in a Southeast European developing country among medium and large enterprises. The results show that technological innovation has a positive influence on business model innovation and that business model innovation positively impacts the success of a business. Finally, the results confirm the mediating role of business model innovation between technological innovation and company business success. This research adds to the existing literature by empirically investigating the relationship between technological innovation, business model innovation, and company success identifying an antecedent role in the relationship between technological innovation and business model innovation.

There is an increasing interest in exploring the use of social media in the workplace, where the issue of the effect of this phenomenon often provokes opposite reactions. Consequently, managers face the challenge of making the right decision, allowing or limiting the use of social media. It is necessary for contemporary companies to create an environment that will enhance the performance of their employees, but also to understand the challenges and opportunities of the changing nature of the today’s workforce in the context of the development of new technologies and especially of social media. Thus, this paper draws on Uses and Gratification theory and aims to offer the theoretical model that explains the role and impact of different types of social media use at the workplace on employee's innovative behaviour and individual work performance. The research model predicts that social media influences innovative work behaviour and individual work performance.

Big data technologies have a strong impact on different industries, starting from the last decade, which continues nowadays, with the tendency to become omnipresent. The financial sector, as most of the other sectors, concentrated their operating activities mostly on structured data investigation. However, with the support of big data technologies, information stored in diverse sources of semi-structured and unstructured data could be harvested. Recent research and practice indicate that such information can be interesting for the decision-making process. Questions about how and to what extent research on data mining in the financial sector has developed and which tools are used for these purposes remains largely unexplored. This study aims to answer three research questions: (i) What is the intellectual core of the field? (ii) Which techniques are used in the financial sector for textual mining, especially in the era of the Internet, big data, and social media? (iii) Which data sources are the most often used for text mining in the financial sector, and for which purposes? In order to answer these questions, a qualitative analysis of literature is carried out using a systematic literature review, citation and co-citation analysis.