
Intelligent analysis of digital economy competencies in agriculture labor
Author(s) -
Анна Алетдинова,
Maxim Bakaev,
V A Astapchuk
Publication year - 2021
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/1019/1/012046
Subject(s) - informatization , agriculture , digital economy , information and communications technology , business , knowledge economy , resource (disambiguation) , production (economics) , marketing , knowledge management , economics , computer science , world wide web , microeconomics , ecology , computer network , biology
As information becomes the main resource and production factor, there is widely declared need for digital competencies and skills in employees. This demand is uneven between industries and regions and is often biased due to companies’ and organizations’ desire to “keep up with the times”. In our paper we focus on employees’ digital economy competencies in agriculture, which is traditionally considered a rather low-tech sector, and compare them to several other industries with varying degrees of informatization. To negate the possible biases, in our analysis we rely on online data – vacancy ads published by companies at job-related portals – instead of traditional statistics. The online data was collected by our dedicated labor market monitoring intelligent system that has been in operation since 2011. The digital economy competencies were divided into 6 types: 1) intellectual and educational, 2) communicational, 3) motivational, 4) managerial, 5) ICT, and 6) ecological. We further use the groups and the wordings of the competences in online job-related ads to fill-in the “competencies specifications” thesaurus. Finally, we calculate frequencies for the digital economy competencies in vacancies for the different industries. We found that in agriculture the most demanded were the intellectual and educational, managerial and ICT-related ones.