Educational Imperialism: Phantom India and The Non-Aligned Movement’s New World Information Order, 1969-1980

This article explores how the BBC’s new educational format, the BBC-2 docu-series, became consequential to global politics in the “long” 1970s. While educational television in the U.S. has long been an issue of contention among liberal and conservative political factions, European educational television was often understood by European legislators and media scholars as central to public broadcasting. This paper challenges such assumptions by uncovering 1970s debates over media ownership. In June 1970, the BBC showcased its new documentary series, Phantom India to much disapproval from the Indian state and the Non-Aligned Movement (NAM). In response to the Phantom India affair, the NAM established its Commission for Broadcasting in Sarajevo, Yugoslavia in 1976. And yet, this article shows how ideological inconsistencies between Yugoslav broadcasting and its foreign policy undermined the NAM’s efforts to truly challenge Western media hegemony. Through close textual analysis and archival research, I offer a new understanding of educational television in the 1970s as a battleground for political and cultural dominance in the, then, faltering liberal world-system

Job Satisfaction, Organizational Commitment and Job Involvement: The Mediating Role of Job Involvement

We conducted an empirical study aimed at identifying and quantifying the relationship between work characteristics, organizational commitment, job satisfaction, job involvement and organizational policies and procedures in the transition economy of Serbia, South Eastern Europe. The study, which included 566 persons, employed by 8 companies, revealed that existing models of work motivation need to be adapted to fit the empirical data, resulting in a revised research model elaborated in the paper. In the proposed model, job involvement partially mediates the effect of job satisfaction on organizational commitment. Job satisfaction in Serbia is affected by work characteristics but, contrary to many studies conducted in developed economies, organizational policies and procedures do not seem significantly affect employee satisfaction

Instruments and Methods for Identifying Indicators of a Digital Entrepreneurial System

Entrepreneurial ecosystems are the main driver of the widespread trend of digitalization, and they open opportunities for the advancement of the digital economy. The digital economy makes its progress through innovative enterprises that can ensure global progress. In order to effectively use the opportunities that open up the process of digitalization, information is needed on how much the Republic of Serbia is able to support the process of discovering entrepreneurship, which is stimulated by digitalization, which is the subject of this paper. The aim of this paper is to analyze the digital entrepreneurial system of the Republic of Serbia, as well as to identify indicators that hinder the development of this system, using appropriate instruments and methods that will be presented in detail in the paper. The results have demonstrated that the starting point for improvement of the digital entrepreneurial system is in the field of finance, with a particular focus on companies in the startup and stand-up phases. Furthermore, a comparative analysis will showcase the digital entrepreneurial system of the Republic of Serbia and the member states of the European Union, where it will be seen that the digital entrepreneurial system of the Republic of Serbia is lagging behind the member states of the European Union in its growth and development. The results will serve as the starting point for policymakers to improve the process of digitalization and the digital entrepreneurial system as a whole. The results show the starting point for the improvement of entrepreneurship in the Republic of Serbia, that is, how small, and medium-sized enterprises can be encouraged on the path to their successful management

The Model of Knowledge Management Based on Organizational Climate

Keeping in mind the fact that organizations in the region of Vojvodina are moving from a negotiated to market economy, this study aims to analyze how the dimensions of collaborative climate affect the various activities of knowledge management. The degree to which collaborative climate influences knowledge work is investigated on 190 participants in the region of the Province of Vojvodina (Serbia). Two standardized questionnaires were used to collect data: a knowledge management questionnaire, which included 32 questions, and a collaborative climate questionnaire of 20 questions. To test the hypothesis of the study, the technique used was descriptive statistics, confirmatory factor analysis, and structural equation modeling. The results show that only the organizational culture as a dimension of collaborative climate contributes to the explanation of all the activities of knowledge management, except the activity of leaving knowledge, which fails to achieve a statistical relationship with any dimension of collaborative climate. This study provides useful insights for practitioners wanting to improve an organization’s performance and to increase organizational sustainability and learning. It is a useful base to expand further research in a way of better understanding the impact that collaborative climate has on the implementation of knowledge management in a transition towards a knowledge economy

Image Processing Method for Automatic Discrimination of Hoverfly Species

An approach to automatic hoverfly species discrimination based on detection and extraction of vein junctions in wing venation patterns of insects is presented in the paper. The dataset used in our experiments consists of high resolution microscopic wing images of several hoverfly species collected over a relatively long period of time at different geographic locations. Junctions are detected using the combination of the well known HOG (histograms of oriented gradients) and the robust version of recently proposed CLBP (complete local binary pattern). These features are used to train an SVM classifier to detect junctions in wing images. Once the junctions are identified they are used to extract statistics characterizing the constellations of these points. Such simple features can be used to automatically discriminate four selected hoverfly species with polynomial kernel SVM and achieve high classification accuracy

Prediction of gas-particle partitioning of polycyclic aromatic hydrocarbons based on M5' model trees

During the thermal combustion processes of carbon-enriched organic compounds, emission of polycyclic aromatic hydrocarbons into ambient air occurs. Previous studies of atmospheric distribution of polycyclic aromatic hydrocarbons showed low correlation between the experimental values and Junge-Pankow theoretical adsorption model, suggesting that other approaches should be used to describe the partitioning phenomena. The paper evaluates the applicability of multivariate piece-wise-linear M5' model-tree models to the problem of gas-particle partition­ing. Experimental values of particle-associated fraction, obtained for 129 ambient air samples collected at 24 background, urban, and industrial sites, were compared to the prediction results obtained using M5' and the Junge-Pankow model. The M5' approach proposed and models learned are able to achieve good correlation (cor­relation coefficient >0.9) for some low-molecular-weight compounds, when the target is to predict the concentration of gas phase based on the particle-associated phase. When converted to particle-bound fraction values, the results, for selected compounds, are superior to those obtained by Junge-Pankow model by several or­ders of magnitude, in terms of the prediction error