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Analysis of Different HRM Policies Effect on Organization Knowledge Level

Author Affiliations

  • 1Department of Health, Islamic Azad University, Sharekord Branch, Shahrekord, IRAN
  • 2Department of Health, Qom University of Medical Science, Qom, IRAN
  • 3Department of Industrial Management, Tehran markaz Branch, Islamic Azad University, Tehran, IRAN

Res. J. Recent Sci., Volume 3, Issue (3), Pages 12-22, March,2 (2014)


The purpose of this paper is toanalyze the effect of HRM policies on total effective knowledge in a healthcare organization as essential requirement for survival. The research methodology is in accordance with the principles of System Dynamics. 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. Model validitywas 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. TEK and average knowledge per person increase in the simulation with a non-linear pattern. Different policies in human resource management could affect the TEK by change in hiring rate, on the job training rate, quit rate, and decay rate. 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 TEK and average knowledge. To facilitate meaningful research in this area, it is important that researchers critically consider the nature of the concept of service experience in terms of who experiences it, the scope, content, and context of the service experience, and how service experience relates to other concepts, such as value.No analysis of different HRM policies on organization knowledge level in the healthcare organizations has previously been undertaken.


  1. Walshe K. and Smith J., Healthcare Management, Open University Press (2006)
  2. Hislop, D., Linking human resource management and knowledge management via commitment, Employee relations, 25(2), 182-202 (2003)
  3. Mathis R.L. and Jackson J.H., Human Resource Management, Thomson South-Western (2010)
  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. Kelly G., Mastroeni M., Conway E., Monks K., Truss K., Flood P. and Hannon E., Combining diverse knowledge: knowledge workers’ experience of specialist and generalist roles, Personnel Review, 40(5), 607-624 (2011)
  7. World Health Organization, Knowledge Management Strategy, World Health Organization Press (2007)
  8. Izadi A., Designing A Dynamic BSC Model for Iranian Social Security Organization Hospitals. PH.D. Dissertation. Islamic Azad University, Sciences & Research Branch, Tehran, Iran, (2010) [Text in Persian]
  9. 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)
  10. Rodwell J. and Teo S.T.T., Strategic HRM in for-profit and non-profit organizations in a knowledge-intensive industry: the same issues predict performance for both types of organization, Public Management Review, 6(3), 311-31 (2004)
  11. Gloet M., Knowledge management and the links to HRM: Developing leadership and management capabilities to support sustainability. Management Research News, 29(7), 402 – 413 (2006)
  12. Monavvarian A. and Khamda Z., Towards successful knowledge management: people development approach, Business Strategy Series, 11(1), 20-42 (2010)
  13. 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)
  14. Nissen M.E., Harnessing knowledge dynamics, IRM Press (2006)
  15. Martensson M., A critical review of knowledge management as a management tool, Journal of Knowledge Management, 4(3), 204-216 (2000)
  16. Jakubik M., Exploring the knowledge landscape: four emerging views of knowledge, Journal of Knowledge Management, 11(4), 6-19 (2007)
  17. Naderi I. and Damangir S., The Impact of Firm Knowledge Strategy on its Competitive Knowledge: A System Dynamics Approach. paper presented at the 26th International Conference of the System Dynamics Society, 20 July–24, Athens, Greece, (2008) available at: http://www.systemdynamics.org/conferences/2008/proceed/papers/NADER483.pdf accessed 20 February (2010)
  18. Janamanchi B. and Burns J.R., Offshoring Knowledge Worker Jobs- Boom or Burst for the US Economy. paper presented at the 23rd International Conference of the System Dynamics Society, 17 July-21, Boston, Massachusetts, USA, (2005) http://www.systemdynamics.org/conferences/2005/proceed/papers/BURNS187.pdf accessed 20 February (2010)
  19. Sourabh B., Applications of DSTATCOM Using MATLAB/Simulation in Power System, Res. J. Recent Sci., 1(ISC-2011), 430-433 (2012)
  20. Nasiripour A., Afshar Kazemi A., Izadi A., Effect of Different HRM Policies on Potential of employee ProductivityApplications, Res. J. Recent Sci., 1(6), 45-54, (2012)
  21. Sterman J.D., Business dynamics: Systems thinking and modeling for a complex world, McGraw-Hill, (2000)
  22. 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)
  23. Takahashi Y. and Tanaka N., The importance of keeping engineers and knowledge workers inside on organizations' performances, paper presented at the 28th International Conference of the System Dynamics Society, 25 July–29, Seoul, Korea, (2010) available at: http://www.systemdynamics.org/conferences/2010/proceed/papers/P1114.pdf accessed 20 February (2011)
  24. Maldonado M.U., Coser A. and Varvakis G., Modeling knowledge reuse in technical support operations. paper presented at the 27th International Conference of the System Dynamics Society, 26 July–30, Albuquerque, New Mexico, USA. (2009) available at: http://www.systemdynamics.org/conferences/2009/proceed/papers/P1066.pdf (accessed 20 February 2010). (accessed 20 February 2011) (2011)
  25. Martensson M., A critical review of knowledge management as a management tool, Journal of Knowledge Management, 4(3), 204-216 (2000)
  26. Sushil, System Dynamics: A Practical Approach for Managerial Problems, Wiley Eastern Publication (1993)
  27. Levy M., Knowledge retention: minimizing organizational business loss, Journal of Knowledge Management, 15(4), 582-600 (2011)