National Research University – Higher School of Economics

About: National Research University – Higher School of Economics is a education organization based out in Moscow, Russia. It is known for research contribution in the topics: Population & Politics. The organization has 12873 authors who have published 23376 publications receiving 256396 citations.

Predicting Winning Team and Probabilistic Ratings in “Dota 2” and “Counter-Strike: Global Offensive” Video Games

Abstract: In this paper, we present novel winning team predicting models and compare the accuracy of the obtained prediction with TrueSkill model of ranking individual players impact based on their impact in team victory for the two most popular online games: “Dota 2” and “Counter-Strike: Global Offensive”. In both cases, we present game analytics for predicting winning team based on game statistics and TrueSkill.

Utility Maximization, Choice and Preference

Abstract: The utility maximization paradigm forms the basis of many economic, psychological, cognitive and behavioral models. Since it was first devised in the eighteenth century, numerous examples have revealed the deficiencies of the concept.This book makes a contribution to overcome those deficiencies by taking into account insensitivity of measurement threshold and context of choice. It covers classic theory as a special, context-free case and gives a systematic overview of new models of utility maximization within a context-dependent threshold as well as related preference and choice models.The second edition has been updated to include the most recent developments and a new chapter on classic and new results for infinite sets. The presented models will be helpful to scientists in economics, decision making theory, social choice theory, behavioral and cognitive sciences, and related fields.

The extent and impact of intellectual capital research: a two decade analysis

Abstract: This paper examines the leading publication trends including the extent and impact of intellectual capital research in the Journal of Intellectual Capital (JIC) over a two-decade period (2000–2020). The bibliometric analysis offers the description of publications trends such as key authors, articles, cited references, institutions and countries— in other words the extent and impact in the field. This paper also presents the knowledge structure (including conceptual, intellectual and social structures) of JIC, that is prominent themes, co-citation and bibliographic networks.,In order to achieve research objectives, we collected the bibliographic information of the articles published in JIC for the period 2000 to 2020 from the Scopus database on 11.04.2020. The bibliographic information of 737 documents were analysed using to open source analysis tool, that is bibliometrics package in r software and VOSviewer. These tools were used to create the graphical visualization of bibliographic data on basis of co-occurrence, co-citation and bibliographic coupling.,The results show that the journal is progressing in terms of publication quantity and reputation in the field. To date, 737 documents have been published in JIC, which includes 659 research articles, eight editorials, seven notes and 63 review papers. This paper also portrays the author impact list in terms of most impactful articles published in JIC. Country-wise Italy, Australia, and USA exert maximum influence on JIC scholarship.,Bibliographic analysis offers a comprehensive understanding of past trends and presents the future direction of a journal.

Motivation of female entrepreneurs: a cross-national study

Abstract: Purpose This paper focuses on the motivation of females to start businesses in developed and emerging economies. Although the issues related to the motivation of entrepreneurs have been widely studied, there are a few studies focusing on the differences in women’s entrepreneurial motivation in countries with different levels of market economy development. Furthermore, existing studies on female founders mainly adapt the concepts that have often been developed in male-dominated paradigm. The purpose of this paper is to explore in depth motivations of female entrepreneurs in different contexts and discover the dissimilarities in women’s entrepreneurial motivations in countries with different levels of economic development. Design/methodology/approach The qualitative research approach is applied in this study to explore the social-driven and profit-driven motives of female entrepreneurs. The authors have employed purposeful sampling to select cases. The authors investigated the motivations of 45 female entrepreneurs in Norway (12), Russia (21) and Ukraine (12). Semi-structured interviews were used to collect primary data. The authors have also triangulated the data collected from interviews with the data available on the internet, company reports and newspaper publications. Findings The findings indicate that women often pursuit business opportunities to satisfy social needs, rather than focusing on traditional business outcomes such as growth or profit. However, different contexts – the emerging economies context of Russia and Ukraine and the developed one of Norway – seem to influence the motivation to establish new ventures differently. The study found a stronger desire to contribute to a society’s needs among female founders in Norway compared to their counterparts in Russia and Ukraine. This indicates that cultural and social context in developed countries, such as in Norway, probably provides more possibilities for female entrepreneurs for self-realisation elsewhere leaving more room for focusing on societal issues in business in comparison with emerging countries contexts. Originality/value A novel conceptual contribution is the exploration of links between the social-driven and profit-driven motives of female entrepreneurs in emerging and developed economises. The study also adds to debates relating to context embeddedness of smaller firms.

Stuck Between Surplus and Shortage: Demand for Skills in Russian Industry

Abstract: In order to remain competitive, firms need to keep the quantity and composition of jobs close to optimal for their given output. Since the beginning of the transition period, Russian industrial firms have been widely reporting that the quantity and composition of hired labour is far from being optimal. This paper discusses what kinds of firms in the Russian manufacturing sector are unable to optimize their employment and why. The main conclusion is that the key issue is an excess of non-viable firms and a shortage of highly efficient firms because of weak selection mechanisms. The main solution is seen to be the creation of institutional conditions that stimulate a more efficient reallocation of labour. The analysis presented in this chapter is based on data from a large-scale survey of Russian manufacturing firms.