In machine learning and data science literature, clustering is the task of dividing the observations (data points) into several categories in such a way that data points falling into one group are being dissimilar than the data points falling to the other groups such that the variation within a...

While studies on ambidexterity and its impact on outcomes have been ubiquitous in organizational research, the literature regarding its nature in schools has been scarce and has lacked information about its impact on student achievement. To address this research gap, this study examined the...

Digital transformation is changing the innovation landscape, not only of firms but also at the macro level. This study aims to analyse how configurations of European Union countries' innovation inputs that lead to innovation outputs are affected by the levels of national digital transformation....

This paper features an analysis of cryptocurrencies and the impact of the COVID-19 pandemic on their effectiveness as a portfolio diversification tool and explores the correlations between the continuously compounded returns on Bitcoin, Ethereum and the S&P500 Index using a variety of parametric...

Objective: The objective of the article is to assess why some zone managing companies (ZMCs) are more successful in developing their special economic zones (SEZs) than others. In almost every part of Poland, there are winners and losers among SEZs. It suggests that the advantage of having a...

The objects of study of the humanities and social sciences are intrinsically complex. Because it is philosophically attractive, and because it helps in practice to manage such complexity, one of the most influential central ideas throughout the history and present of these disciplines is the...

This paper analyses correlations between several organizational characteristics and product/process innovations in enterprises in Serbia. We used the World Bank Enterprise Survey data on 339 small, medium, and large companies from various industries. Many of the factors analysed in this study...

This paper discusses the causal relationships among posted content types, the number of reached individuals and follower counts of a Facebook brand page by investigating the communication forms of a Hungarian Twitch.tv live streamer. The Kolmogorov-Smirnov test for the analyses' distributional...

Poverty statistics are conventionally compiled using data from household income and expenditure survey or living standards survey. This study examines an alternative approach in estimating poverty by investigating whether readily available geospatial data can accurately predict the spatial...

The spatial granularity of poverty statistics can have a significant impact on the efficiency of targeting resources meant to improve the living conditions of the poor. However, achieving granularity typically requires increasing the sample sizes of surveys on household income and expenditure or...