Modelling agent activity and diagnostics of agency professional competencies
- DOI
- 10.2991/icemw-18.2018.28How to use a DOI?
- Keywords
- modelling, agent, professional diagnostics, agency compensations, digital economy
- Abstract
Expansion of Digital tools of economic activity reveal the role of the humans within the business processes. The growth of aggregators as a business model that automates the agency activity causes interest in the analysis of the content of professional agency activity and the identification of the specifics that differentiate the work of the agent from the algorithms of intellectual data processing. Under agency activities we consider the professions of doctors, lawyers, realtors. The spread of telemedicine, systems of normative legal documents and artificial intelligence, databases of offers and requests in the field of real estate, nevertheless, does not lead to the disappearance of these types of agents. On the contrary, the work of competent professionals in these areas is increasingly in demand. This means that the specific qualities and parameters of agency activity for today are not amenable to full algorithmization, i.e. it is possible to identify the specific agent competencies, which are more valuable than the processing of medical, legal information or real estate market data. The article examines the main components for constructing the model of the professional agency activity and provides an example of diagnosing the professional agent's competences in the digital economy.
- Copyright
- © 2018, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Nadezhda N. Pokrovskaia AU - Denis A Fedorov AU - Dmitry V. Golohvastov PY - 2018/08 DA - 2018/08 TI - Modelling agent activity and diagnostics of agency professional competencies BT - Proceedings of the International conference "Economy in the modern world" (ICEMW 2018) PB - Atlantis Press SP - 151 EP - 155 SN - 2352-5428 UR - https://doi.org/10.2991/icemw-18.2018.28 DO - 10.2991/icemw-18.2018.28 ID - Pokrovskaia2018/08 ER -