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Enterprise Compensation System Statistical Modeling for Decision Support System Development

Author

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  • Artur Mitsel

    (Faculty of Control Systems, Tomsk State University of Control Systems and Radioelectronics, 634050 Tomsk, Russia
    Department of Experimental Physics, Tomsk Polytechnic University, 634050 Tomsk, Russia)

  • Aleksandr Shilnikov

    (Faculty of Control Systems, Tomsk State University of Control Systems and Radioelectronics, 634050 Tomsk, Russia)

  • Pavel Senchenko

    (Faculty of Control Systems, Tomsk State University of Control Systems and Radioelectronics, 634050 Tomsk, Russia)

  • Anatoly Sidorov

    (Faculty of Control Systems, Tomsk State University of Control Systems and Radioelectronics, 634050 Tomsk, Russia)

Abstract

This article raises the issue of decision support system (DSS) development in enterprises concerning the compensation system (CS). The topic is relevant as the CS is one of the main components in human resource management in business. A key element of such DSSs is CS models that provide predictive analytics. Such models are able to give information about how a particular CS affects output, product quality, employee satisfaction, and wage fund. Thus, the main goal of this article is to obtain a CS statistical model and its formulas for determining the probability densities of resultant indicators. To achieve this goal, the authors conducted several blocks of research. Firstly, mathematical formalization of CS functionality was described. Secondly, a statistical model of CS was built. Thirdly, calculations of CS result indicators were made. Reliable scientific methods were used: black box modeling and statistical modeling. This article proposes a statistical and analytical model. As an example, a piecework-bonus system statistical model is demonstrated. The discussion derives formulas of integral estimations showing the probability density of the resulting CS indicators and the related statistical characteristics. These results can be used to predict the behavior of the workforce. This constitutes the scientific novelty of the study, which will establish significant advances in the development of DSSs in the field of labor economics and HR management.

Suggested Citation

  • Artur Mitsel & Aleksandr Shilnikov & Pavel Senchenko & Anatoly Sidorov, 2021. "Enterprise Compensation System Statistical Modeling for Decision Support System Development," Mathematics, MDPI, vol. 9(23), pages 1-19, December.
    • Handle: RePEc:gam:jmathe:v:9:y:2021:i:23:p:3126-:d:695073
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    References listed on IDEAS

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    1. Kyungyong Chung & Raouf Boutaba & Salim Hariri, 2016. "Knowledge based decision support system," Information Technology and Management, Springer, vol. 17(1), pages 1-3, March.
    2. Joseph G. Altonji & Anthony A. Smith Jr. & Ivan Vidangos, 2013. "Modeling Earnings Dynamics," Econometrica, Econometric Society, vol. 81(4), pages 1395-1454, July.
    3. Zhou, Bing & Li, Yu-meng & Sun, Fang-cheng & Zhou, Zhong-guo, 2021. "Executive compensation incentives, risk level and corporate innovation," Emerging Markets Review, Elsevier, vol. 47(C).
    4. Alex Edmans & Xavier Gabaix, 2016. "Executive Compensation: A Modern Primer," Journal of Economic Literature, American Economic Association, vol. 54(4), pages 1232-1287, December.
    5. Brink, William & Kuang, Xi (Jason) & Majerczyk, Michael, 2021. "The effects of minimum-wage increases on wage offers, wage premiums and employee effort under incomplete contracts," Accounting, Organizations and Society, Elsevier, vol. 89(C).
    6. Duygu Turker, 2018. "Social Responsibility and Human Resource Management," CSR, Sustainability, Ethics & Governance, in: Managing Social Responsibility, chapter 0, pages 131-144, Springer.
    7. Duygu Turker, 2018. "Managing Social Responsibility," CSR, Sustainability, Ethics & Governance, Springer, number 978-3-319-91710-8, May.
    8. Anja Deelen, 2021. "Flexible Wages or Flexible Workers? A Decomposition of Wage Bill Adjustment by Dutch Firms, 2006–2013," De Economist, Springer, vol. 169(2), pages 179-209, May.
    9. Ruina Yang & Yinhua Mai & Chung‐Yee Lee & Chung‐Piaw Teo, 2020. "Tractable Compensation Plan under Asymmetric Information," Production and Operations Management, Production and Operations Management Society, vol. 29(5), pages 1212-1218, May.
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