Application of multifactorial regression analysis to improve the efficiency of human resource management

Authors

  • Елена Борисовна Абросимова National Research University Higher School of Economics, 25/12 Bolshaya Pecherskaya Ulitsa, 603155, Nizhny Novgorod, Russian Federation https://orcid.org/0000-0002-5759-3447

DOI:

https://doi.org/10.15587/2312-8372.2015.57192

Keywords:

human resource management, efficiency analysis, partial indicators, multifactorial regression analysis

Abstract

This article discusses the use of multifactorial regression analysis to solve problems to improve the efficiency of human resource management.

The main aim of the article is to develop methods of using multifactorial regression analysis for quantitative studies of the efficiency of human resource management. Problems of human resource management at all times are highly relevant. Proper recruitment, evaluation, development of motivation systems are the key links in the chain of problems of increase of organization productivity. Application of statistical methods for HR analytics allows seeing the reserves of increase productivity, reducing turnover, etc. The developed technique allows identifying three key performance indicators of personnel management services; based on the characteristics of the contents of the factors influencing the HRM, select the private performance indicators for multivariate regression analysis and build a multifactorial regression model. The research results can be applied in practice of HR departments to improve the efficiency of personnel and the development of personnel policy.

Author Biography

Елена Борисовна Абросимова, National Research University Higher School of Economics, 25/12 Bolshaya Pecherskaya Ulitsa, 603155, Nizhny Novgorod

Candidate of Technical Sciences, Associate Professor

Department of Industrial Management and Logistics 

References

  1. Adams, B. (2006). Effektivnoe upravlenie personalom. Мoscow: AST, 362.
  2. Braverman, A., Saulin, A. (1998). Integral'naia otsenka rezul'tativnosti predpriiatii. Voprosy ekonomiki, 6, 108.
  3. In: Kibanov, A. Ya. (2010). Upravlenie personalom organizatsii. Ed. 4. Мoscow: INFRA-M, 695.
  4. Huselid, M. A., Becker, B. E., Beatty, R. W. (2007). Otsenka personala: kak upravliat' chelovecheskim kapitalom, chtoby realizovat' strategiiu. Мoscow: Williams, 432.
  5. Abrosimova, E. B. (2005). Aktual'nye razdely statistiki dlia menedzherov. Nizhny Novgorod, 38.
  6. HR analitika: put' k effektivnomu upravleniiu. (2013). Spravochnik po upravleniiu personalom, 6. Available: http://www.pro-personal.ru/article/533729-hr-analitika-put-k-effektivnomu-upravleniyu
  7. Choosing measurement methods. (2005, January). Strategic HR Review, Vol. 4, № 2, 7. doi:10.1108/14754390580000584
  8. Kozhevnikova, E. A. (2011). Analiz effektivnosti ispol'zovaniia personala predpriiatiia. Planovo-ekonomicheskii otdel, 8. Available:http://www.profiz.ru/peo/8_2011/analiz_efektivnost_person/
  9. Sanders, K., Cogin, J. A., Bainbridge, H. T. J. (2014). Research methods for human resource management. New York: Routledge, 452. doi:10.4324/9781315852300
  10. Mihalkina, E., Skachkova L., Kosolapova, N. (2014, February 10). Application of Non-Parametric Statistics and Econometrics Methods in HR-processes Analysing. Management of the Personnel and Intellectual Resources in Russia, Vol. 3, № 1, 11–16. doi:10.12737/2620

Published

2015-11-26

How to Cite

Абросимова, Е. Б. (2015). Application of multifactorial regression analysis to improve the efficiency of human resource management. Technology Audit and Production Reserves, 6(5(26), 53–58. https://doi.org/10.15587/2312-8372.2015.57192