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IDENTIFICATION OF THE HUMAN RESOURCE MANAGEMENT MODEL IN KOSOVO AGROBUSINESS

Arbëresha Behluli

First published: 2019-06-20https://doi.org/10.5593/sgem2019/5.3/s21.047View metrics

Abstract

The existence of the traditional human resources department within the organization has always been of interest to organizations as a whole, especially for the agribusiness sector, as this sector faces difficult working conditions. They offer products that cover the basic needs of the population by having an important social role, so it would be interesting to analyze human resource patterns and show us how much was their integrity and application is today. Therefore, by analyzing the application of each model in agribusiness we will validate the model used by these enterprises because human resource management is a basic organizational function that makes a significant contribution to achieving the objectives. Parts of the study were 382 agribusiness workers, of whom 65.4% (n = 250) were males and 34.55% (n = 132) were females, from whom we received information about the type of HRM model applied and their motivation. Data analysis will be done through the Statistical Package for the Social Sciences (SPSS). From the findings of this study, we came to the conclusion that the human resource model applied in agribusiness is the Pol Reilly model for personnel management, and the motivation of the workers is very low. Given the results of the research, we can say that the findings of this study are important not only for the fact that the applied HRM model has been identified but also the level of motivation of the employees. Therefore, there is a possibility that the current status of Kosovo agribusinesses will be improved by applying other HRM models and other strategies to increase motivation.

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Publication details

Title
IDENTIFICATION OF THE HUMAN RESOURCE MANAGEMENT MODEL IN KOSOVO AGROBUSINESS
Authors
Arbëresha Behluli
Proceedings
SGEM International Multidisciplinary Scientific GeoConference EXPO Proceedings; 19th International Multidisciplinary Scientific GeoConference SGEM2019, Ecology, Economics, Education and Legislation
Publisher
STEF92 Technology
Year
2019
Pages
375-382
SWS Citekey
Behluli201921375382
ISSN
1314-2704
ISBN
978-619-7408-86-7
Language
en
Publication type
Conference Paper
Keywords
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