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Modelling the Impact of Heavy Work Investments on Employee’s Satisfaction

Author

Listed:
  • Mihail Busu

    (University of Economic Studies, Bucharest, Romania)

  • Attila Gyorgy

    (University of Economic Studies, Bucharest, Romania)

Abstract

In this article, the authors develop an econometric model to determine the impact of the heavy work investment on employee’s satisfaction. The data was collected using a questionnaire addressed to employees with higher level of education and at least one year of experience, within the specialized departments of multinational companies that offer consultancy and audit services in Romania and analyzed using Smart-Pls statistical software 3.3.2. Based on the literature in the field, the article identifies the determinants of the heavy work investment. These indicators are the independent variables that shape the impact of the heavy work investment on employee’s performance and satisfaction. The findings confirm the theoretical aspects presented in the article, emphasizing that employee’s satisfaction is the direct result of the collaboration of several factors, such as personal needs, workload, time spent at work, attitude to work and physical and mental condition. Identifying the drivers that contribute to increasing organizational performance is essential in the human resources management process, to shed light on positive aspects, such as employee satisfaction, rewarded for their work and, at the same time, to prevent the risk of overwork. The article contributes to the research theory by modelling the investment in work according to elements specific to human typologies, bringing a unique contribution in the form of practical inferences for the management of human resources.

Suggested Citation

  • Mihail Busu & Attila Gyorgy, 2020. "Modelling the Impact of Heavy Work Investments on Employee’s Satisfaction," The AMFITEATRU ECONOMIC journal, Academy of Economic Studies - Bucharest, Romania, vol. 22(Special 1), pages 1068-1068, November.
    • Handle: RePEc:aes:amfeco:v:22:y:2020:i:special14:p:1068
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    References listed on IDEAS

    as
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    2. Wilmar Schaufeli & Marisa Salanova & Vicente González-romá & Arnold Bakker, 2002. "The Measurement of Engagement and Burnout: A Two Sample Confirmatory Factor Analytic Approach," Journal of Happiness Studies, Springer, vol. 3(1), pages 71-92, March.
    3. Itzhak Harpaz, 1990. "The Importance of Work Goals: An International Perspective," Journal of International Business Studies, Palgrave Macmillan;Academy of International Business, vol. 21(1), pages 75-93, March.
    4. Scott, John, 1997. "Corporate Business and Capitalist Classes," OUP Catalogue, Oxford University Press, number 9780198280767.
    5. D.S. Possenriede & J. Plantenga, 2011. "Access to flexible work arrangements, working-time fit and job satisfaction," Working Papers 11-22, Utrecht School of Economics.
    6. Tenenhaus, Michel & Vinzi, Vincenzo Esposito & Chatelin, Yves-Marie & Lauro, Carlo, 2005. "PLS path modeling," Computational Statistics & Data Analysis, Elsevier, vol. 48(1), pages 159-205, January.
    7. Vasile Dinu, 2017. "Total Quality Management – A Way to Manage Organizations Centred on Quality," The AMFITEATRU ECONOMIC journal, Academy of Economic Studies - Bucharest, Romania, vol. 19(S11), pages 936-936.
    Full references (including those not matched with items on IDEAS)

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    More about this item

    Keywords

    heavy work investment; work satisfaction; work dependence; econometric model; PLS-SEM;
    All these keywords.

    JEL classification:

    • O12 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Microeconomic Analyses of Economic Development
    • O15 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Economic Development: Human Resources; Human Development; Income Distribution; Migration
    • C30 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - General
    • C83 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Survey Methods; Sampling Methods

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