We analyse Esport data of professional CS:GO teams to shed light on the question of whether diverse teams survive longer. We also control for the prize money as a time dependent covariate. Another focus is on the liability of newness hypothesis.

Purpose: Video games are considered as a leisure activity that makes being unemployed more attractive than before. In this study, the authors use eSports prizes as a proxy for the popularity of video games to analyze its influence on total and youth unemployment. Design/methodology/approach:...

Purpose: This study suggests an alternative to confirmatory content analysis (CA) and empirically demonstrates that explorative CA enables new insights into the mechanism of intellectual capital (IC) disclosure. In so doing, this research contributes to both methodological and empirical...

Purpose: The purpose of this paper is to address the issue of efficiency of corporate universities. An efficiency is defined in relative terms: as having relatively better performance in comparison to other companies. Different indicators of performance were employed in order to analyze...

Purpose Company intellectual capital (IC) is nowadays considered as a key resource that can transform a company’s value. For this reason, the efficiency of IC is crucial for all stakeholders. Evaluating efficiency is difficult, because IC is partly unobservable and its efficiency varies across...

Purpose – This paper aims to explore whether individual intellectual capital of a fund manager allows mutual fund to outperform market. Design/methodology/approach – The sample includes 85 Russian equity funds for the period of 2013. First, Jensen’s alpha for each fund has been calculated,...

Our work is focused on Russian mutual funds managers' skills versus luck testing. Using the bootstrap procedure of Kosowski et al. (2007) we test Jensen's alpha signicance for each fund. We found that only 5% of equity mutual funds do have skills. These results for the emerging Russian market...

Our work is focused on Russian mutual funds managers’ skills versus luck estimating. Using bootstrap procedure we build Jensen’s alpha density for each fund. We find that only 5% of Russian equity mutual funds do have skills (in contrast to luck) to outperform the benchmark.