Strategic analysis of labour market of the Amur region (data taken form HeadHunter and SuperJob web-platforms)

K. V. Shevchenko ()

Russian Journal of Industrial Economics, 2022, vol. 15, issue 2

Abstract: The article presents strategic analysis of labour market of the Amur region using the data taken from HeadHunter and SuperJob web-platforms. The analysis can be regarded as an important component of strategizing the employment of the population of the region. According to the theory of strategy and methodology of strategizing Vladimir Kvint, the final goal of the implementation of any strategy (global, national, regional, sectoral, corporate and personal) is improvement of the quality and standard of human life. Identifying interests in developing employment of the regional population is the most important stage of strategizing because finding out the real situation can make it possible to establish the priorities that will both correspond with the trends and meet the needs of the employment of the regional population. To conduct strategic analysis of labour resources of the Amur region the author makes use of the theory and methodology of strategizing by Vladimir Kvint. According to the theory strategic analysis involves examining internal and external factors of the object of strategizing. The external factors include global, national, regional and sectoral trends. To analyze internal factors affecting the development of labour resources of the Amur region the author analyzed the information about vacancies in the companies and resumes of the applicants located in the region. The information was taken from the largest employment web-platforms in Russia – HeadHunter and SuperJob. One of the most popular methods of labour market analysis abroad is analyzing employment web-platforms. This method involves such positive features as efficiency, data accessibility and large population size which provides the opportunity to make representative sample.

Date: 2022
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Persistent link: https://EconPapers.repec.org/RePEc:ach:journl:y:2022:id:1009

DOI: 10.17073/2072-1633-2022-2-234-242

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