FORECASTING THE NEEDS OF THE ECONOMY IN LABOR RESOURCES IN THE PROFESSIONAL QUALIFICATION SECTION: A REVIEW OF FOREIGN EXPERIENCE

Smirnov Vladimir Mikhailovich1, Ryazantseva Margarita Vasilevna2
1Financial University under the Government of the Russian Federation, Doctor of economic sciences, Associate professor, Deputy Dean of the Risk Analysis and Economic Security Faculty
2Financial University under the Government of the Russian Federation, Сandidate of technical sciences, associate professor at the Personnel Management and Psychology Department

Abstract
The world economic faces with the increasing speed of global changes, especially technological. That is why government should change the policy on the labor market and develop tools that could impact match skills demand and supply. One of such tools is forecasting models that allow to determine the skills needs of the economy. Using appropriate strategies formal institutes can influence and change skills demand and supply. This article summarizes foreign approaches to labor market forecasting, as well as a number of other strategies that ensure the regulation of the labor market in the medium and long term.

Keywords: HR strategy, human capital, labor market, personnel management, professional development


Category: 08.00.00 Economics

Article reference:
Forecasting the needs of the economy in labor resources in the professional qualification section: a review of foreign experience // Modern scientific researches and innovations. 2017. № 3 [Electronic journal]. URL: https://web.snauka.ru/en/issues/2017/03/79358

View this article in Russian

Sorry, this article is only available in Русский.



Artice view count: Please wait

All articles of author «Рязанцева Маргарита Васильевна»


© If you have found a violation of copyrights please notify us immediately by e-mail or feedback form.

Contact author (comments/reviews)

Write comment

You must authorise to write a comment.

Если Вы еще не зарегистрированы на сайте, то Вам необходимо зарегистрироваться:
  • Register