scholarly journals The Human Resources as an Important Factor of Regional Development

2021 ◽  
Vol 21 (3) ◽  
pp. 1464-1478
Author(s):  
Dana Jašková ◽  
Katarína Havierniková ◽  
Katarína Havierniková
Keyword(s):  
Cluster Analysis ◽  
Human Resources ◽  
Statistical Methods ◽  
Hierarchical Cluster Analysis ◽  
Socioeconomic Development ◽  
Slovak Republic ◽  
Hierarchical Cluster ◽  
Human Resources Development ◽  
Development Potential ◽  
Resources Development

The human resources present the key aspect of socioeconomic development, prosperity and competitiveness of each region due to the fact that contribute to increasing of employment, to the development of working places and improving the life standard of inhabitants. The main aim of the paper is the quantification of human resources development potential in Slovak regions. To meet this aim, the authors concentrated attention mainly on the evaluation of the level and variability of the selected indicators that were observed within four descriptors. The crucial contribution of the evaluation is the ranking of regions, based on the evaluation in each descriptor and drawing the overall ranking of human resources development potential in the Slovak Republic. To determine the order of regions, the relevant statistical methods were used: the characteristics of location and variability, hierarchical cluster analysis and its method of complete linkage. The results showed the dominance of Bratislava region that is following by Trnava and Žilina region.

scholarly journals Appraisal of the load of productive population by post-productive segment of population with the usage of SAS

2006 ◽  
Vol 54 (6) ◽  
pp. 7-12
Author(s):  
Mária Belanová ◽  
Zita Varacová
Keyword(s):  
Human Resources ◽  
Spatial Statistics ◽  
Slovak Republic ◽  
Human Resources Development ◽  
Important Indicator ◽  
Spatial Aspect ◽  
Random Location ◽  
Resources Development

The load of productive population by post-productive segment is an important indicator of human resources development. Relating to spatial aspect of the mentioned indicator we have used the methods of spatial statistics. The means of SAS have appeared as very advantageous tool for this kind of analysis. The results confirm the random location of the investigating indicator on the space of Slovak Republic in the years of 1993, 1997 and 2000, too.

scholarly journals Assessment of Sustainable Socioeconomic Development in European Union Countries

2020 ◽  
Vol 12 (5) ◽  
pp. 1986 ◽  
Author(s):  
Viktorija Skvarciany ◽  
Daiva Jurevičienė ◽  
Gintarė Volskytė
Keyword(s):  
Cluster Analysis ◽  
Hierarchical Cluster Analysis ◽  
Socioeconomic Development ◽  
Scientific Literature ◽  
Hierarchical Cluster ◽  
The Third ◽  
Factors Influencing ◽  
European Union Countries ◽  
Current Article ◽  
The Eu

There are still debates in the scientific literature about the factors influencing countries’ sustainable socioeconomic development. Therefore, the current article aims at determining the factors of sustainable socioeconomic development and assessing its level in the EU countries. The following methods were employed for the research: an evaluation based on distance from average solution (EDAS) and hierarchical cluster analysis (HCA). EDAS was used to reveal which countries have the highest level of sustainable socioeconomic development, and which have the lowest. The ranking was done based on the appraisal score, which is an outcome of EDAS. Hierarchical cluster analysis (HCA) was used for clustering the countries based on the appraisal scores in order to distinguish groups of countries having a similar level of sustainable socioeconomic development. The results revealed that the highest level of sustainable socioeconomic development is in Germany, and the lowest in Portugal. Based on HCA, the countries were divided into three groups. The first cluster’s countries have the weakest sustainable socioeconomic development, and countries assigned to the third cluster have the best. In the current research, the third cluster consists of one country, Germany, which supports the results obtained with the EDAS method, i.e., Germany is the country with the highest level of sustainable socioeconomic development in the EU.

Pengarug Gaya Kepemimpinan, Budaya Organisasi, dan Kepercayaan Pegawai terhadap Komitmen Organisasi pada Suku Dinas Pendidikan Dasar Kota Administrasi Jakarta Barat

2015 ◽  
Vol 3 (3) ◽  
Author(s):  
Soeparlan Kasyadi
Keyword(s):  
Organizational Culture ◽  
Organizational Commitment ◽  
Strategic Planning ◽  
Human Resources ◽  
Path Analysis ◽  
Leadership Style ◽  
Basic Education ◽  
Human Resources Development ◽  
Resources Development ◽  
Unit Analysis

<p>This research is aimed at obtaining information related to the affect of the <br />leadership style, organizational culture, and employees’ trust on organizational <br />commitment. Research has been implemented using path analysis after all variables put into a matrix of correlation. In this research, employees had been chosen as a unit analysis and 65 samples selected randomly. The results of research found out that: (1) there is direct affect of leadership style on employees’ trust; (2) there is direct affect of organizational culture on employees’ trust; (3) there is direct affect of leadership style on organizational commitment; (4) there is direct affect of organizational culture on organizational commitment; and (5) there is direct affect of employees’ trust on <br />organizational commitment. Based on those findings it could be concluded that any changing or variation which occurred to the organizational commitment of Basic Education Office in West Jakarta had been effected by leadership style, organizational culture, and trust to employees. Therefore, leadership style, organizational culture, and employees’ trust should be put into strategic planning of human resources development in increasing the organizational commitment of Basic Education Office in West Jakarta, however other variables are necessary to be taken into account properly. <br /> <br /><br /></p>

Initiatives to Address Human Resources Development Using AR Technology

2019 ◽  
Vol 57 (5) ◽  
pp. 376-378
Author(s):  
Y. Enokidani ◽  
N. Imaizumi ◽  
D. Tanaka
Keyword(s):  
Human Resources ◽  
Human Resources Development ◽  
Resources Development
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