Volume VII, Network Intelligence Studies
Issue 13
Veronika LISKUNÉ VATHY, Adrián NAGY
 

The role of talent management is becoming more and more important not only in Hungary, but also in Europe and in the world. This is also shown by the literature on the subject and by the developed infrastructure. The identification and care of talents begins in childhood and can be continued in tertiary education. In Hungary there are more and more talent care programs in our tertiary education, which enable students to work on their talents. We need to encourage talent management so that hidden talents can also become visible. There is a necessity in higher education for programs led by mentors who can identify and take care of the promising talents so that after finishing their education these students can fit in the labour market.

  • Type: Review Article
  • Published on: 5th May, 2019
  • Keywords: Talent; Gifted education; Higher education; Gifted and talented programmes
  • Pages: 7-12
  • Received: 24th February, 2018
  • Final revision and acceptance: 1st May, 2019
Volume VII, Network Intelligence Studies
Issue 13
Leyla MAHMUDOVA
 

In recent years, the successful performance of small and medium enterprises has played an important role in terms of economic prosperity, employment and wellbeing of the society. This research paper studies the position of small and medium sized enterprises in the economy of Azerbaijan. The research aims to compare and analyze certain indicators of small and medium sized businesses in the country while contrasting the statistical data with the “Strategic Road Map on Production of Consumer Goods at Small and Medium Entrepreneurship Level in the Republic of Azerbaijan 2016”. Subsequently, the impact and effectiveness of the program is evaluated regarding the results of three years in a row.

  • Type: Review Article
  • Published on: 5th May, 2019
  • Keywords: Entrepreneurship in Azerbaijan; Small and medium enterprise; Economic development
  • Pages: 13-20
  • Received: 30th March, 2019
  • Final revision and acceptance: 1st May, 2019
Volume VII, Network Intelligence Studies
Issue 13
Bilal HMOUD, Varallyai LASZLO
 

There has been an emerging trend of utilizing Artificial Intelligence (AI) technologies within the business environment throughout the last two decades. This paper presents the position of the Human Resources recruitment and selection, an aspect of HR management, regarding incorporating AI solutions. The paper addresses the following questions: To what extent will humans use AI to hire humans? To what extent and how will AI affect recruiters’ jobs? What are organizations’ and HR managers’ roles in this transformation? To this end, a set of literature and proposed models as well as examples of most commonly used temporary artificial intelligence solutions for the acquisition of Human resources have been reviewed to analyze and understand the previous contribution. It has been concluded that AI provides promising solutions for recruiters to optimize talent acquisition by taking over time-consuming repetitive tasks such as sourcing and screening applicants, to improve the quality of the hiring process and neutralize human biases. Augmented intelligence will be used widely and increasingly to produce better and more effective results; as a result, routine administrative jobs will be replaced by smart AI technologies and will gradually disappear.

  • Type: Review Article
  • Published on: 5th May, 2019
  • Keywords: Artificial Intelligence; Recruitment and Selection; Human Resources Information systems
  • Pages: 21-30
  • Received: 1st April, 2019
  • Final revision and acceptance: 1st May, 2019
Volume VII, Network Intelligence Studies
Issue 13
Edina ERDEI
 

The development and international competitiveness of Hungary's international relations depend on several factors. Nowadays, new production technologies have accelerated the ability of companies to produce. Thus, the delivery of goods in terms of tonnes per kilometre has also significantly increased. In recent years, instead of a labour-based economy, knowledge-based competitiveness has come to the fore. Some companies engage in intense international procurement but produce and sell on the local market, while other companies buy and produce in the country but sell on the international market. This study intends to analyse the data related to the transportation of goods and the strategic development of production networks for foreign and Hungarian companies. The main question is how the improvement in each country affects the national and international transport of production companies. This article focuses on the period 2010-2017. The goals are to see how fast production companies have changed in relation to Hungarian and international freight goods transport and how productivity has changed. There are several ways of transport: by water (rivers and sea) and land (road and rails). The analysis of relations used data from the Organization for Economic Cooperation and Development (OECD) from ten members of the European Union: Austria, Denmark, Estonia, Finland, France, Luxembourg, Hungary, Portugal, Sweden, and Slovakia.The relationships between the data were analysed using different descriptive statistical methods. The result of the research may have an impact on the development of international relations between production companies and the re-thinking of their production strategies.

  • Type: Case Study
  • Published on: 15th July, 2019
  • Keywords: Road freight; Rail freight; River, sea freight; Productivity
  • Pages: 31-41
  • Received: 7th May, 2019
  • Final revision and acceptance: 1st July, 2019
Volume VII, Network Intelligence Studies
Issue 13
Iulia ROȘOIU
 

The purpose of this article is to analyze why there are very large differences in income per capita (or output per worker) across countries today and to examine whether countries with same characteristics will develop in the same time and will grow fast enough to reduce the income gap between themselves. The empirical study analyzes the income evolution of six countries over the period 1995-2016: Romania, Poland, Hungary, Croatia, Czech Republic and Bulgaria. Several models are estimated in order to test the „unconditional convergence” and „conditional convergence”. The second type of convergence is tested based on Solow model, which includes investments in physical capital and population growth (increased with technological growth and capital depreciation rate) and based on Augmented Solow model, which adds human capital.

  • Type: Case Study
  • Published on: 15th July, 2019
  • Keywords: Basic Solow Model; Augmented Solow Model; Convergence; Steady state; Cross-country analysis
  • Pages: 43-53
  • Received: 5th July, 2019
  • Final revision and acceptance: 14th July, 2019
Volume VII, Network Intelligence Studies
Issue 13
Anca COLIBABA, Irina GHEORGHIU, Ramona CIRSMARI, Cintia COLIBABA, Stefan COLIBABA
 

The article is based on the European project E-Classes (Ref.no. 2017-1-RO01-KA202-037344), which is being developed within a partnership of eight educational and IT institutions from Bulgaria, Italy, Romania and Spain. The project aims at offering solutions to the new educational challenges in Europe; it provides science teachers and trainers with open educational resources (OER) which will enhance their professional, IT and pedagogical competences and facilitate their students’ transition from school to work. The article presents the E-Classes project: its methodology, objectives, target groups and outputs. It looks at the cooperation between students, schools and companies as considered within the partnership. The project partnership led to the creation of videos relying on interviews students had with employers and also issues students appreciated as revealing essential aspects of the job. The testimonials collected from teachers and students participating in a virtual meeting with teachers and students from Bulgaria give some insights into this work-based learning experience.

  • Type: Case Study
  • Published on: 15th July, 2019
  • Keywords: Flipped learning; Science; E-classes; Cooperation between students; Schools and companies
  • Pages: 55-59
  • Received: 25th June, 2019
  • Final revision and acceptance: 14th July, 2019
Volume VII, Network Intelligence Studies
Issue 13
Andreea DUMITRACHE, Alexandra NASTU
 

Data can be analysed by using a wide range of techniques. The present article focuses on the use of the basic approaches to statistics and econometrics (descriptive analysis, distribution analysis, logistic regression and tests for model validation) in order to establish a correlation between the individual returns of the securities and a macroeconomic factor. The novelty of the paper consists in designing well-defined steps according to objective criteria of the financial market when evaluating financial assets. Thus, a unifactorial model consisting of several data science techniques is used, which assumes that the profitability of any financial title is in a linear relationship with a macroeconomic variable.The study is based on Apple and market portfolio data series and the results show that there is a strong positive dependence between them.

  • Type: Case Study
  • Published on: 15th July, 2019
  • Keywords: Statistics; Time series; Stationarity; Normality; Linearity test; Data Science
  • Pages: 61-70
  • Received: 27th June, 2019
  • Final revision and acceptance: 14th July, 2019