APPROPRIATE SELECTION, TRAINING AND MOTIVATION OF STAFF UNDER MODERN CONDITIONS OF ROBOTIZED AND AUTOMATED AGRICULTURE

Gergana Slavova

INTERNATIONAL SCIENTIFIC AND PRACTICAL CONFERENCE "HUMAN RESOURCE MANAGEMENT", 2019, issue 1, 188-201

Abstract: We are witnessing a rapidly changing and dynamic new century. In it, new technologies gradually, but persistently, slightly shift people away from their vital positions in the workplace. New positions and new professions, new requirements and, above all, new skills and competences are needed for the development of companies in each sector. The agrarian business is no exception to this current trend. Indeed, in Japan, Western Europe, and the USA, there are already companies that have completely automated their work. Using robotic software, these companies produce crops using automation from the moment of sowing to the moment of harvesting on the basis of automated systems, with the application of artificial intelligence under the strict control of one person. This fact raises the question of the proper selection, training, and motivation of staff in the agricultural sector. Clearly, hired people need to be much more skilled and understand software, sensors and digital management. In short, companies must be prepared for the creation of precision agriculture based on new technologies. Therefore, the purpose of this report is to analyze the necessary changes that must be made to select, train and motivate staff in a modern agricultural company, subject to robotics and automation of part of the work processes. Different methods of analysis were used to achieve this goal, based on induction, deduction, retrospection, and others, and the author's opinion on the subject is shared.

Keywords: Agrarian sector; Automated systems; Management; Staff (search for similar items in EconPapers)
JEL-codes: O13 O15 Q13 (search for similar items in EconPapers)
Date: 2019
References: Add references at CitEc
Citations:

Downloads: (external link)
http://conference.ue-varna.bg/hrm/wp-content/uploa ... nfProceeding2019.pdf (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:vrn:hrmsnr:y:2019:i:1:p:188-201

Access Statistics for this article

More articles in INTERNATIONAL SCIENTIFIC AND PRACTICAL CONFERENCE "HUMAN RESOURCE MANAGEMENT" from University of Economics - Varna Contact information at EDIRC.
Bibliographic data for series maintained by Radka Nacheva ().