Automating Processes of Personnel Motivation Management in the Context of Implementing a Principle of Social Justice
https://doi.org/10.26794/2404-022X-2019-9-4-63-74
Abstract
The paper is devoted to studying the experience of Russian organizations in solving the problem of automation of one of the main HR functions — motivation and work incentives of employees of the organizations. After personnel administration, HR motivation management has become the second HR function, which is successfully automated in Russian organizations. The methodological basis of the study is a modern understanding of the theory of human capital. The research methodology provides for the reconstruction of the labor stimulation process based on the development and implementation of key performance indicators in conjunction with the automation processes of operational HR processes. The work results as follows: systematization of software that automates the basic processes for staff motivation; development of recommendations for HR departments on the development and implementation of an automated system of main performance indicators. The authors have proved that the correctly implemented automation of the HR function to calculate compensation and benefits during the transition to a more complex remuneration system makes it possible in practice not just to increase the economic results of the organization, but also to implement the fundamental principle of effective management — the principle of a fair assessment of the results of each employee’s work.
Keywords
About the Authors
I. A. Ivanova
Financial University
Russian Federation
Irina A. Ivanova — Cand. Sci. (Econ.), Associate Professor of the Department of Human Resources Management and Psychology
Russian Federation
Irina A. Ivanova — Cand. Sci. (Econ.), Associate Professor of the Department of Human Resources Management and Psychology
O. S. Osipova
Financial University
Russian Federation
Olga S. Osipova — Dr. Sci. (Sociol.), Professor of the Department of Sociology, History and Philosophy
Russian Federation
Olga S. Osipova — Dr. Sci. (Sociol.), Professor of the Department of Sociology, History and Philosophy
V. N. Pulyaeva
Financial University
Russian Federation
Valentina N. Pulyaeva — Cand. Sci. (Econ.), Associate Professor of the Department of Human Resources Management and Psychology
Russian Federation
Valentina N. Pulyaeva — Cand. Sci. (Econ.), Associate Professor of the Department of Human Resources Management and Psychology
References
1. Armstrong M. Armstrong’s handbook of human resource management practice. London: Kogan Page Publ.; 2001. 792 p. (Russ. ed.: Armstrong M. Praktika upravleniya chelovecheskimi resursami. St. Petersburg: Piter; 2004. 849 p.).
2. Panigrahy R. K., Mishra R. K., Patnaik S. Soft computing for HR uncertainty management in steel industry. International Journal of Data Analysis Techniques and Strategies. 2013;5(3):252–269. DOI: 10.1504/IJDATS.2013.055351
3. Martin P., Teo P. Build human performance management into automation strategies. Hydrocarbon Processing. 2013;92(10):63–64.
4. Kaplan R., Norton D. The balanced scorecard: Translating strategy into action. Boston, MA: Harvard Business School Press; 1996. 336 p. (Russ. ed.: Kaplan R., Norton D. Sbalansirovannaya sistema pokazatelei: Ot strategii k deystviyu. Moscow: Olymp-Business; 2003. 214 p.).
5. Drucker P. F. Managing for results. New York: HarperBusiness; 1991. 256 p. (Russ. ed.: Drucker P. F. Upravlenie, natselennoe na rezul’taty. Moscow: Technological School of Business; 1994. 200 p.).
6. Redman T., Wilkinson A. Contemporary human resource management: Text and cases. 2nd ed. Harlow: FT Prentice Hall; 2006. 528 p.
7. Mitrofanova E. A., The main elements of the system of incentives and remuneration. Kadrovik. 2010;(8–2):30–34. (In Russ.).
8. Babynina L. S. Modern models of labor efficiency management. Normirovanie i oplata truda v sel’skom khozyaistve. 2008;(7):13–19. (In Russ.).
9. Vetluzhskikh E. N., Larina A., Petrenko T., Romanova A. How to develop an effective system of remuneration: Case studies of Russian companies. Moscow: Alpina Publisher; 2016. 201 p. (In Russ.).
10. Osipova O. S., Sakharova N. V., Smirnova M. E. New approaches to the organization and remuneration of teaching and auxiliary personnel in the higher education system. Moscow: Onebook.ru; 2015. 258 p. (In Russ.).
11. Osipova O. S., Netkacheva A. V. Using content analysis for integrated studies of the secondary level in the field of human resource management. Strategii biznesa = Business Strategies. 2014;(1):4–8. (In Russ.).
12. Shappo I. S. Automation of the personnel motivation system on QPR ScoreCard. URL: http://www.kpilib.ru/article.php?page=51 (accessed on 04.04.2019). (In Russ.).
13. Bersin D., Pelster B., Schwartz D., Van der Vyver B. Rewriting the rules for the digital age. 2017 Deloitte global human capital trends. URL: https://www2.deloitte.com/content/dam/Deloitte/global/Documents/HumanCapital/hc-2017-global-human-capital-trends-gx.pdf (accessed on 04.04.2019).
14. Osipova O. S., Kapitanov V. A., Ivanova V. M. Actual issues of motivation and stimulation of labor of personnel of socially-oriented non-profit organizations. Trendy i upravlenie = Trends and Management. 2018;(3):22–41. (In Russ.). DOI: 10.7256/2454–0730.2018.3.27489
15. Gutsche K., Griffith J. Automating motivation: A workplace analysis of service technicians and the motivational impact of automated assistance. In: Hara Y., Karagiannis D., eds. International Conference on Serviceology 2017: Serviceology for Services. Cham: Springer-Verlag; 2017:101–108. (Lecture Notes in Computer Science. Vol 10371).
16. Bögenhold D., Klinglmair R., Kandutsch F. Solo self-employment, human capital and hybrid labour in the gig economy. Foresight and STI Governance. 2017;11(4):23–32. DOI: 10.17323/2500–2597.2017.4.23.32
17. Sloan N., Agarwal D., Garr S., Pastakia K. Performance management: Playing a winning hand. 2017 Global Human Capital Trends. Deloitte. Feb. 28, 2017. URL: https://www2.deloitte.com/us/en/insights/focus/human-capital-trends/2017/redesigning-performance-management.html (accessed on 04.04.2019).
Review
For citations:
Ivanova I.A., Osipova O.S., Pulyaeva V.N. Automating Processes of Personnel Motivation Management in the Context of Implementing a Principle of Social Justice. Management Sciences. 2019;9(4):63-74. (In Russ.) https://doi.org/10.26794/2404-022X-2019-9-4-63-74
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