Prediction of effectiveness of adaptation to operating conditions in the Arctic as a factor of production performance

Authors: Sharok V.V.

The article analyzes the components of an appropriate occupational selection toward enhanced production performance in the Arctic conditions. The research attracted 194 respondents employed in different spheres of activity, including solid mineral mining and processing. The research methods were the analysis of contingency tables, as well as the correlation, factorial, dispersion and multiple regression analyses. In the capacity of a solution to the set problem, a diagnostic procedure is proposed to determine professional aptitude and to forecast adaptation effectiveness in operation in the Arctic. Reliability and validity of the procedure are proved by a strong correlation between three estimates of the adaption complexity: the procedure-based estimate, the expectations of the respondents and the actual adaptation effectiveness. From the multiple regression analysis, a regression equation is constructed, which enables estimating difficulty of adaptation of an individual planning to work in the Arctic. The proposed procedure and interpretation of its results make it possible to forecast easiness of adaptation to operating conditions in the Arctic depending on whether a prospective employee was born in the Arctic, ever stayed in the Arctic and how long he/she is planning to work in the Arctic. Furthermore, the procedure allows drawing up a psychological portrait of a prospective employee and assessing his/her suitability to working in the conditions of the harsh climate, heavy service and social isolatedness.

Keywords: Arctic, vocational aptitude, adaptation, human resources, psychological maker, diagnostic procedure, procedure reliability and validity, multiple regression analysis.
For citation:

Sharok V. V. Prediction of effectiveness of adaptation to operating conditions in the Arctic as a factor of production performance. MIAB. Mining Inf. Anal. Bull. 2024;(6):163–181. [In Russ]. DOI: 10.25018/0236_1493_2024_6_0_163.

Acknowledgements:
Issue number: 6
Year: 2024
Page number: 163-181
ISBN: 0236-1493
UDK: 331.44
DOI: 10.25018/0236_1493_2024_6_0_163
Article receipt date: 15.12.2023
Date of review receipt: 07.02.2024
Date of the editorial board′s decision on the article′s publishing: 10.05.2024
About authors:

V.V. Sharok, Cand. Sci. (Psychol.), Assistant Professor, Empress Catherine II Saint-Petersburg Mining University, 199106, Saint-Petersburg, Russia, e-mail: sharok_vv@pers.spmi.ru, ORCID ID: 0000-0003-4185-7855.

 

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