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Effect of Different HRM Policies on Potential of employee Productivity

Author Affiliations

  • 1Department of Health Services Administration, Science and Research Branch, Islamic Azad University, Tehran, IRAN
  • 2 Department of Industrial Management, Tehran markaz Branch, Islamic Azad University, Tehran, IRAN
  • 3 Department of Health Services Administration, Science and Research Branch, Islamic Azad University, Tehran, IRAN

Res. J. Recent Sci., Volume 1, Issue (6), Pages 45-54, June,2 (2012)


The purpose of this paper is to analyze the effect of HRM policies on Potential of employee Productivity (PEP) in a healthcare organization as essential requirement for success. The In the first phase, in this adaptive and descriptive research, the data collection started in the wake of reviewing related literature when a series of semi-structured interviews were conducted with hospital managers to determine their perceptions about the HRM policies in an Iranian hospital. Then, casual loop diagrams, and stock and flow diagrams were identified. Model equations were determined by integral equation related to system dynamics (SD). Model validity was checked by structural test, consistency test, extreme condition test, and parameters analysis. Parameters analysis was done with historical fitness between simulated data and actual data for total employee variable behavior by coefficient of determination, mean square error (MSE), bias component of MSE, variation component of MSE, and covariance component of MSE. Vensim software was used for simulation, sensitivity and policy analysis. The PEP decrease in the simulation with a non-linear pattern. Different policies in human resource management could affect the PEP by change in hiring rate, quit rate, and change in structure of decision making. According to the results, stop of current adopted policy based on hiring contract employees from 2010 and hiring them as long term hiring had a better effect on PEP. Productivity is affected by several factors. The case study verifies and visualizes that different policy of human resources, may result in important change in PEP. It is important that researchers critically consider the nature of the concept of PEP, how it could be maximize, and how it relates to other concepts, such as organizational performance.


  1. Mathis R.L. and Jackson J.H., Human Resource Management, Thomson South-Western (2010)
  2. Izadi A., Designing A Dynamic BSC Model for Iranian Social Security Organization Hospitals. PH.D. Dissertation. Islamic Azad University, Sciences andResearch Branch, Tehran, Iran, (2010)
  3. [Text in Persian] 3.Mawdesley M.J. and Al-Jibouri S., Modelling construction project productivity using systems dynamics approach, Int J Prod Perform Manag,59(1), 18 – 36 (2009)
  4. Som V.C., Exploring the human resource implications of clinical governance, Health Pol, 80(2), 281–96 (2007)
  5. Kang S. and Snell S., Intellectual capital architectures and ambidextrous learning: a framework for human resource management, J Manag Stud, 46(1), 65-92 (2009)
  6. Ordóñez de Pablos p., Human resource management systems and their role in the development of strategic resources: empirical evidence, J Eur Ind Train, 28(6), 474-489 (2004)
  7. Teo S.T.T., Lakhani B., Brown D. and Malmi T., Strategic human resource management and knowledge workers; A case study of professional service firms, Manag Res News,31(9), 683-96 (2008)
  8. Battisti G. and Iona A., The UK productivity gap in the service sector: do management practices matter?, Int J Prod Perform Manag,58(8), 727-747 (2009)
  9. West M., Borrill C., Dawson J., Scully J., Carter M., Anely S. and Patterson M., The link between the management of people and patient mortality in acute hospitals, International Journal of Human Resource Management,13(8), 1299-310 (2002)
  10. Prowse P. and Prowse J., Whatever happened to human resource management performance?, Int J Prod Perform Manag,59(2), 145-162 (2010)
  11. Walshe K. and Smith J., Healthcare Management, Open University Press (2006)
  12. World Health Organization, Knowledge Management Strategy, World Health Organization Press (2007)
  13. Jääskeläinen A., Designing operative productivity measures in public services, International Journal of Public Sector Management,24(4), 289-302 (2011)
  14. Linna P., Pekkola S., Ukko J. and Melkas H., Defining and measuring productivity in the public sector: managerial perceptions. International Journal of Public Sector Management, 23(3), 300-320 (2010)
  15. Käpylä J., Jääskeläinen A., and Lönnqvist A., Identifying future challenges for productivity research: evidence from Finland, Int J Prod Perform Manag,59(7), 607-623 (2010)
  16. Siebers, P-O., Aickelin U., Battisti G., Celia H., Clegg C., Fu X. and et al, Enhancing Productivity: The Role of Management Practices. SSRN eLibrary. (2008)
  17. available at: http://ssrn.com/abstract=1309605 17.Chowdhury H., Wodchis W. and Laporte A., Efficiency and technological change in health care services in Ontario: An application of Malmquist Productivity Index with bootstrapping, Int J Prod Perform Manag,60(7), 721-745 (2011)
  18. Ferguson K.L. and Reio Jr T.G., Human resource management systems and firm performance, J Manag Dev, 29(5), 471-494 (2010)
  19. Oliva R., A dynamic theory of service delivery: implications for managing service quality. Solan school management. Ph.D. Dissertation, Massachusetts Institute of Technology, Massachusetts, USA. (1995)
  20. Zigan K., Macfarlane F. and Desombre T., Intangible resources as performance drivers in European hospitals, Int J Prod Perform Manag,57(1), 57-71 (2007)
  21. Sourabh B., Applications of DSTATCOM Using MATLAB/Simulation in Power System, Res. J. Recent Sci., 1(ISC-2011) , 430-433 (2012)
  22. Nissen M.E., Harnessing knowledge dynamics, IRM Press (2006)
  23. Sterman J.D., Business dynamics: Systems thinking and modeling for a complex world, McGraw-Hill, (2000)
  24. Nielsen S. and Nielsen E.H., System dynamics modeling for a balanced scorecard; computing the influence of skills, customers, and work in process on the return on capital employed, Manag Res News, 31(3) 169-188 (2008)
  25. Sushil, System Dynamics: A Practical Approach for Managerial Problems, Wiley Eastern Publication (1993)
  26. Hafeez K. and Abdelmeguid H., Dynamics of Human Resource and Knowledge Management, J Oper Res Soc,54(2), Special Issue: Knowledge Management and Intellectual Capital, 153-164 (2003)
  27. Mandip G, Green HRM: People Management Commitment to Environmental Sustainability, Res. J. Recent Sci., 1(ISC-2011) 244-252 (2012)
  28. Cagliano A.C., DeMarco A., Cagliano C.R. and Volpe S., Using system dynamics in warehouse management: a fast-fashion case study, J Manuf Tech Manag, 22(2), 171-188 (2011)