Innovative approaches to employee motivation through gamification in human resource management

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Abstract

in modern management, gamification is viewed as an effective tool for employee motivation, with the potential to enhance labor productivity and organizational efficiency. The relevance of our study is driven by the need to explore new approaches to human resource management in the context of the digital economy and the transformation of labor relations. We proposed an original econometric model that integrates elements of game theory, dynamic programming, and behavioral economics, allowing for a quantitative assessment of the impact of various gamification mechanisms on key performance indicators of labor. The model includes parameters such as motivation level, cognitive load, time characteristics for task completion, reward systems, and social recognition. Special attention is given to the analysis of nonlinear effects and threshold values of motivational factors. Testing the model on data from 25 Russian companies across various industries during the period from 2022 to 2024 showed an average increase in labor productivity of 18,73%, a decrease in employee turnover by 12,45%, an increase in employee satisfaction by 22,91%, and a reduction in the adaptation time for new employees by 34,28%. The results of the study have practical value for HR management and can be used in the development of comprehensive employee motivation systems in organizations of various profiles. The scientific novelty of the work lies in the formalized approach to assessing the effectiveness of gamification solutions, taking into account the economic and psychological aspects of labor motivation.

About the authors

Radwan Najeh Husein

North Caucasus Federal University

A. I Martynyuk

North Caucasus Federal University

Email: alex.mart.051@mail.ru

I. I Konstantinov

North Caucasus Federal University

Email: ivan2003ko@mail.ru

V. A Nikolenko

North Caucasus Federal University

Email: vladvlad2003v@mail.ru

References

  1. Армстронг М. Практика управления человеческими ресурсами. 10-е изд. СПб.: Питер, 2018. 848 с.
  2. Каплан Р.С., Нортон Д.П. Сбалансированная система показателей. М.: Олимп-Бизнес, 2014. 320 с.
  3. Маслоу А. Мотивация и личность. СПб.: Питер, 2019. 400 с.
  4. Тейлор Ф.У. Принципы научного менеджмента. М.: Контроллинг, 2016. 208 с.
  5. Герцберг Ф. Мотивация к работе. М.: Вершина, 2017. 240 с.
  6. Врум В. Работа и мотивация. СПб.: Питер, 2015. 352 с.
  7. Друкер П.Ф. Эффективный руководитель. М.: Манн, Иванов и Фербер, 2018. 256 с.
  8. Макгрегор Д. Человеческая сторона предприятия. М.: Попурри, 2016. 288 с.
  9. Оучи У.Г. Методы организации производства: японский и американский подходы. М.: Альпина Паблишер, 2017. 220 с.
  10. Шейн Э.Х. Организационная культура и лидерство. СПб.: Питер, 2018. 352 с.
  11. Deci E.L., Ryan R.M. The "What" and "Why" of Goal Pursuits: Human Needs and the Self-Determination of Behavior // Psychological Inquiry. 2000. Vol. 11. № 4. P. 227 – 268.
  12. Vroom V.H. Work and Motivation. N.Y.: Wiley, 1964. 331 p.
  13. Kahneman D. Thinking, Fast and Slow. N.Y.: Farrar, Straus and Giroux, 2011. 499 p.
  14. Thaler R.H., Sunstein C.R. Nudge: Improving Decisions About Health, Wealth, and Happiness. New Haven: Yale University Press, 2008. 293 p.
  15. Ovchinnikova S., Sekisov A., Shinkareva I. et al. Implementation of investment and construction projects as part of the interior image formation // IOP Conference Series: Materials Science and Engineering: XIII International Scientific Conference Architecture and Construction 2020, Novosibirsk, September 22-24, 2020. Vol. 953. BRISTOL: IOP Publishing Ltd, 2020. P. 012082. doi: 10.1088/1757-899X/953/1/012082

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