Kadochnikova E.I.Kazan (Volga Region) Federal University (KFU), Kazan, Republic of Tatarstan, Russian Federation kad-ekaterina@yandex.ru ORCID id: not available
Subject. As economic processes get digitalized, management needs to address issues with new approaches to raising the efficiency of financial resources allocated for remuneration. Thus, the correlation of rewards and ultimate results of entities become a priority. Therefore, factors influencing the motivation and incentives of the staff and its performance underlie the reward system and the effectiveness of the entity. It is important for the management to measure the effect of the factors on the return on financial resources used for remuneration in order to attain goals and operate in the business environment effectively. Objectives. The study is to model the efficiency of rewards with reference to factors influencing the ratio of output to rewards, expertise and qualification of the staff. We use a linear model of multivariate regression on the basis of the Principal Component Analysis (PCA). Methods. The study relies upon the ordinary least squares methods and PCA, and general methods of research, such as an analysis, synthesis, induction, and deduction. Results. Conducting the managerial analysis of reward efficiency with reference of some determinants and their correlation (the output to reward ratio, staff's expertise and incentives), we evaluate internal corporate factors while handling new issues and outline future actions to set up the comprehensive reward system. The information helps improve the corporate performance and ensure the unbiased remuneration with reference to the employee’s contribution to the accomplishment of business goals. Conclusions and Relevance. The methodological approach we propose helps determine how the factors influence the reward mechanism in order to fulfill the corporate strategy objectives. The findings can be used for operational purposes of entities in order to set up the remuneration policy and tactics harmonizing pursuits of the business and staff.
Keywords: remuneration, efficiency, return on salary, rewards, management analysis, linear regression model, principal component method
References:
Chingos P.T. Paying for Performance: A Guide to Compensation Management. Wiley, 2002, 408 p.
Sungatullina L.B. [Modern paradigm of management accounting and analysis of the expenses on the employee benefit]. Audit in finansovyi analiz = Audit and Financial Analysis, 2014, no. 1, pp. 70–75. URL: Link (In Russ.)
Boyd B.K., Salamin A. Strategic Reward Systems: A Contingency Model of Pay System Design. Strategic Management Journal, 2001, vol. 22, iss. 8, pp. 777–792. URL: Link
Kozmenkova S.V., Sharapova N.A. [The specifics of accounting for payroll payments in a State-financed institution]. Bukhgalterskii uchet v byudzhetnykh i nekommercheskikh organizatsiyakh = Accounting in Budgetary and Non-Profit Organizations, 2017, no. 19, pp. 2–12. URL: Link (In Russ.)
Sungatullina L.B. [Development of the concept of managerial accounting and analysis of employees' remuneration]. Problemy sovremennoi ekonomiki = Problems of Modern Economics, 2014, no. 1, pp. 106–111. URL: Link (In Russ.)
Barrett R., Mayson S. Human Resource Management in Growing Small Firms. Journal of Small Business and Enterprise Development, 2007, vol. 14, iss. 2, pp. 307–320. URL: Link
Glushchenko A.V., Kucherova E.P., Yukina A.Yu. [An analysis of the labor and wages of the internal affairs bodies in the context of personnel security]. Mezhdunarodnyi bukhgalterskii uchet = International Accounting, 2020, vol. 23, no. 7, pp. 755–776. (In Russ.) URL: Link
Berndt E.R. The Practice of Econometrics: Classic and Contemporary. Addison-Wesley Publishing Company, 1996, 702 p.
Kadochnikova E.I. [Creating corporate knowledge: Econometric analysis of resource productivity]. Sovremennaya ekonomika: problemy i resheniya = Modern Economics: Problems and Solutions, 2014, no. 10, pp. 25–33. URL: Link (In Russ.)
Malova A.S. Osnovy ekonometriki v srede Gretl [Basics of econometrics via Gretl]. Moscow, Prospekt Publ., 2019, 112 p.
Hill R.C., Griffiths W.E., Lim G.C. Principles of Econometrics, International Student Version. John Wiley and Sons, 2012, 792 p.
García J., Salmerón R., García C., Martín López M.D.M. Standardization of Variables and Collinearity Diagnostic in Ridge Regression. International Statistical Review, 2016, vol. 84, iss. 2, pp. 245–266. URL: Link
Gómez S.R., Pérez J.G., Martín López M.D.M., García C.G. Collinearity Diagnostic Applied in Ridge Estimation through the Variance Inflation Factor. Journal of Applied Statistics, 2016, vol. 43, iss. 10, pp. 1831–1849. URL: Link
Yakupova N.M., Kadochnikova E.I. [Use of principal components regression in modeling the return on assets of the enterprise]. Sovremennaya ekonomika: problemy i resheniya = Modern Economics: Problems and Solutions, 2017, no. 7, pp. 8–19. (In Russ.) URL: Link
White R. A Strategic Approach to Building a Consistent Global Rewards Program. Compensation and Benefits Review, 2005, vol. 37, iss. 4, pp. 23–39. URL: Link
Bush T.J. Leverage Employee Rewards to Drive Performance. Hoosier Banker, 2003, vol. 87, iss. 4, pp. 26–29.
Sum V. The Role of Training and Firm's Competitiveness in the Knowledge-Based Economy. Review of Business and Technology Research, 2010, vol. 3, iss. 1, pp. 1–12. URL: Link
