Volume 16, Issue 63 (3-2017)                   refahj 2017, 16(63): 159-183 | Back to browse issues page

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Taban M, hashemi M, mahmoudian O. Investigating the Effective Factors on Human Resources Productivity in Tehran’s Easter Branches of Social Security . refahj. 2017; 16 (63) :159-183
URL: http://refahj.uswr.ac.ir/article-1-2721-en.html
Abstract:   (2498 Views)

Introduction:  The  Social Security Organization is a complex, vital and effective organization, so that in the current  century, continuation of sustainable and comprehensive development in the country without the support of this organization is hardly possible.  Human resources are unique capital for the Social  Security Organization, which is a service-oriented organization, and can play a major role in organizational productivity. During  recent decades,  the improvement of competitiveness and profitability through improved productivity, has been the most controversial issue in organizations.

Method: This study aimed to investigate the effective factors on enhancing the human resources productivity in the Social Security Organization. To do this, obstacles and solutions of human resources productivity were identified.  Using the survey method and Fuzzy DEMATEL technique, 17 employees and managers of  Tehran’s Easter branches of the Social Security Organization who had a Masters’ degree and above answered questions regarding the concept of human resources productivity in the Social Security Organization.

Findings: Social Security Organization is one of the service-oriented organizations whose human resources play a unique role in economic, social and cultural development which provide a better future for the society. The ultimate goal of improving productivity as a driving force of economic development, is to improve the quality of life of every human being. To investigate the aforementioned issue, based on the results of factor analysis, 28 factors were identified. Then, 7 of these which were repeated in further research were chosen as the effective factors on the enhancement of human resources productivity at the Social Security Organization. The results showed that the amount of attention paid to the creativity and innovation and job promotion conditions are the main barriers to the enhancement of the human resources productivity. Moreover, knowledge and experience, management style, management commitment and adherence to the rules and regulations are the factors which play a role in improving the productivity of human resources and should be prioritized. The variable salary and motivational benefits neither was affected by any other variables, nor had an effect on other variables. It was an independent variable with regard to enhancing the human resources productivity.

Discussion: Human beings are the most effective factors of production, because if they cannot use tools, advanced equipment and technology, advances in technology will be inefficient in practice. The Social Security Organization which seeks to provide a simple, balanced life for the people via improvement of human resources productivity will be able to increase the quality, the extension of social security and customer satisfaction in the society.

Full-Text [PDF 606 kb]   (1575 Downloads)    
Type of Study: orginal |
Received: 2017/03/13 | Accepted: 2017/03/13 | Published: 2017/03/13

1. Maciulyte-sniukiene, A., & Gaile-Sarkane, E. (2014). Impact of information and telecommunication technologies development on labour productivity. Procedia-Social and Behavioral Sciences, 110, 1271-1282.
2. Allareddy, V., Allareddy, V., Rampa, S., Nalliah, R. P., & Elangovan, S. (2015). Global dental research productivity and its association with human development, gross national income, and political s‌tability. Journal of Evidence Based Dental Practice, 15(3), 90-96..
3. Miko, L., & S‌torch, D. (2015). Biodiversity conservation under energy limitation: Possible consequences of human productivity appropriation for species richness, ecosys‌tem functioning, and food production. Ecosys‌tem Services, 16, 146-149.Salovey, P. & Mayer, J. D. & Caruso, D. R. (2002). The positive psychology of emotional intelligence. In: C. R, Snyder & S. J. Lopez (Eds.). The Handbook of Positive Psychology (pp. 159-171). New York: Oxford University Press.
4. Salovey, P. & Mayer, J. D. (1990). Emotional Intelligence, Imagination, Cognition and Personality. 9, 185-211.
5. Schutte, N. S. & et el. (1998). Development and validation of a measure of emotional intelligence ,Personality and Individual Differences. 25, 167-77.
6. Shikdar, A. & Sawaqed, N. M. (2003). Worker productivity and occupational health and safety issues in selected indus‌tries. Computers in Indus‌trial Engineering, 45(4), 56.
7. Lee, P. A. (2005). Cognition and affect in leader behavior, the effects of spirituality, psychological empowerment, and emotional intelligence on the motivation to lead. Unpublished dissertation, Regent University.
8. Mavan, D. V. (2004). Productivity and employee satisfaction in flexible workplace. Journal of Corporate Real Es‌tate London, 6(2), 133.
9. Sing, H., Motwani, J. & Kumar, A. (2000). A Review and Analysis of the S‌tate-of-the-Art Research on Productivity Measurement. Indus‌trial Management & Data Sys‌tems, l00(5), 234-41.
10. Enshassi, A., Mohamed, S., Mus‌tafa, Z. A. & Mayer, P. E. (2007). Factors Affecting the Labour Productivity in Building Projects in the Gaza S‌tRIP. Journal of Civil Engineering and Management, 8(4), 245-254.
11. Herbsman, Z. & Ellis, R. (1990). Research of Factors Influencing Cons‌truction Productivity. Cons‌truction Management and Economics, 32(8), 49-61.
12. Heizer, J. & Render, B. (1990). Production and Operations Management: S‌trategic and Tactical Decisions. New Jersey: Prentice Hall.
13. Lorriman, J. & Kenjo, T. (1994). Japan’s Winning Margins. Oxford: Oxford University Press.
14. Grayson, C. J. & O’Dell, C. (1988). American Business: A Two-Minute Warning. New York: Free Press, NY.
15. David, J. Grabski, S. & Kasavana, M. (1996). The Productivity Paradox of Hotel-Indus‌try Technology. Cornell Hotel and Res‌taurant Adminis‌tration Quarterly, 27(2), 64-70.
16. Rojas, E. M. & Aramvareekul, R. (2003). Labor Productivity Drivers and Opportunities in the Cons‌truction Indus‌try. Journal of Management in Engineering, 19(2), 78-82.
17. Polat, G. & Arditi, P. (2005). The JIT Management Sys‌tem in Developing Countries. Cons‌truction Management and Economics, 23(7), 697-712.
18. Lin, C.J. & Wu, W.W. (2008). A causal analytical method for group decision-making under fuzzy environment. Expert Sys‌tems with Applications, 34, 205-213.
19. Zhou, Q., Huang, W., & Zhang, Y. (2011). Identifying critical success factors in emergency management using a fuzzy DEMATEL method. Safety science, 49(2), 243-252..
20. Jassbi, J., Mohamadnejad, F., & Nasrollahzadeh, H. (2011). A Fuzzy DEMATEL framework for modeling cause and effect relationships of s‌trategy map. Expert sys‌tems with Applications, 38(5), 5967-5973.
21. Lee, Y. C., Li, M. L., Yen, T. M., & Huang, T. H. (2010). Analysis of adopting an integrated decision making trial and evaluation laboratory on a technology acceptance model. Expert Sys‌tems with Applications, 37(2), 1745-1754.Shieh,
22. J., Wu, H. & Huang, K. (2010). A DEMATEL method in identifying key success factors of hospital service quality. Knowledge-Based Sys‌tems, 277-282.

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