Modelling the Impact of Heavy Work Investments on Employee’s Satisfaction
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...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Academy of Economic Studies of Bucharest
2020-11-01
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| Series: | Amfiteatru Economic |
| Subjects: | |
| Online Access: | https://www.amfiteatrueconomic.ro/temp/Article_2952.pdf |
| Summary: | 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 |
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| ISSN: | 1582-9146 2247-9104 |