Designing and fitness of conceptual model for personnel productivity using interpretive structure modeling methodp

پژوهش نامه مدیریت تحول

Article 9, Volume 5, Autumn & Winter 2014 - Serial Number 10, February 2014, Pages 192-218   

Document Type: Articles

DOI: 10.22067/pmt.v5i10.34898

Author

Ahmad Latifian^*

Abstract

In regard to different structure of factors affective to personnel productivity in different organizations, this research is performed with the purpose of designing and fitness of conceptual model of personnel productivity using interpretive structure modeling in Ferdowsi University of Mashhad. The survey method and researcher-made questionaire was used for data collection in this research. The statistical population consisted of the university managers and personnel in the year of 2010. From these two populations, 86 managers and 181 of personnel were selected by random- classify sampling method. The Delphi method was utilized to identify factors affective to personnel productivity. The Delphi method result showed that, conceptual model includes 59 criteria in subset of 7 dimensions. The Conceptual Model designed by interpretive structure modeling technique through manager’s approach. Test and fitness of model performed by personnel approach through lisrel software. The result shows meaningful Path coefficient between dimensions and finally approval of model. The model consists of two levels. The under level includes work environment dimension and higher level includes other six dimensions. Therefore, the process of personnel productivity should be started with work environment dimension, and then the base of productivity will be provided for other dimensions in higher level.

Keywords

Personnel productivity; Interpretive structure modeling; Conceptual model

References

- Abtahi, S., & Kazemi, B. (2004). Productivity. published in commercial research and studies institute, tehran, 3-6. (in Persian)
- Azar, A., & Bayat, K. (2008). Designing trade based on- process model by interpretive structural modeling, Journal of Information Technology Management, 1(1), 3 -18. (in Persian)
- Azar, A. (2010). Modeling agility of supply chain, using interpretive structural modeling approach-Structural, Journal of Humanities Teacher-Management Research in Iran, 14(4) ,138, 13.(in Persian)

- Allahvwerdy.; Farahabady., & Sajadi, (2009). Prioritize the factors affecting the productivity of human resources by middle management in medical science university of Esfahan, Hospital Journal. 35. (in Persian)
- Alawamleh, M., & Popplewell, K. (2011). Interpretive structural modelling of risk sources in a virtual organisation, International Journal of Production Research, 1(11).1-23.
- Ashish, A.; Ravi S. M. K., & Tiwari. (2007). Modeling agility of supply chain, Industrial Marketing Management Journal,36, 443 – 457.
- Bucle, R., & Chrisrioancenk, J. (1995). Worker rights promote productivity growth, Challenge Journal, 39, 8.
- Enshassi, A.; Mohammed, S.; Mayer, P., & Abed, K. (2007). Benchmarking masonry labor productivity, International Journal of Productivity and Performance Management, 56(4).358-368.

- Ellis, S., & Dick, P. (2003). Introduction to organizational behavior. Mc- Graw hill.
- Huang, J.; Tzeng, G., & Ong, C. (2005). Multidimensional data in multidimensional scaling using the analytic network process; Pattern Recognition Letters, 26.
- Holsinger, J. (2005). Policy for annual assessment of faculty members [dissertation]. lawrence: university of kansas.
- Honary, H.; Rezaeian, A.; Kouzecheian, H., & Ehsani, M. (2006). Relation between motivation and productivity of human resources in body training organizations, Journal of Spring Movement, 27.
- Janalizadeh, M. (2001). Survey on factors affecting personnel productivity in tarbyat modaress university, Masters tesis [dissertation]. Tarbyat Modaress University. (in Persian)

- Jitesh, T. (2007). Development of a balanced scorecard an integrated approach of interpretive structural modeling and analytic network process (ANP), International Journal of Productivity and Performance Management. 56(1). 25-59
- Kudyba, S. (2003). Knowledge management: the art of enhancing productivity and innovation with the human resource in your organization. DM Review, april.
- Kumar, N.; Prasad, R.; Shankar, R., & Iyer, K. C. (2009). Technology transfer for rural housing an interpretive structural modeling approach, Journal of Advances in Management Research, 6(2).188-205.
- Khaki, G. (2007). Surplus a way to measure productivity, Institute of studies and training program, Tehran, 154.
- Mohammed, I. R.; Shankar, R., & Banwet, D. K. (2008). Creating flex-lean-agile value chain by outsourcing: an interpretive structural modeling-based interventional roadmap, Business Process Management Journal, 14(3). 338-389.
- Maleki, M.; Mousazadeh, M., & Ahmadi, M. (2005). Survey on related factors about productivity of human resources in selected hospitals of Mazandaran university of medical sciences. Journal of Health Management, (20). (in Persian)
- Nesan, L., & Holt, G. (2002). Assessment of organizational involvement in implementing empowerment. Integrated Manufacturing Systems Journal, 13, 201-11.
- Nasrollahpoor, M. (2005). Studying affective factors on productivity of human resource, Tadbir Journal. 157. (in Persian)
- Nasrpoor, H. (2003). Necessity of attendance to productivity of human resource and its affective factors, Cooperative Journal, 141. 23-25. (in Persian)
- Omidvari, M., & Golbabaie, F. (2003). Influence of heat and sound on productivity of human Resource, Seminar of healthy staff and sustainable development. (in Persian)
- Resek, R. (2004). Productivity benefits of high education.from www.igpa.uiuc.
- Rao, Y. P. (2006). Professional practice motivation model for improving human resource productivity in a manufacturing unit–a success story. International Journal of Productivity and PerformanceManagement, 55. 5, 430-436.
- Raj, T.; Shankar., & Suhaib M. (2008). An interpretive structural modeling approach for modelling the enablers of flexible manufacturing system: the case for India, International Journal of Production Research, 46(24).6883-6912.
- Rasooli, M. (2008). Knowledge management for increasing human resource productivity, Iran productivity association, National productivity congress. (in Persian)
- Seyedameri, M. (2000). Survey on relation between organizational culture and productivity of body training administrations in Azarbayejan Sharghi., & Gharbi provinces, Harekat Journal, 35 , 143-158. (in Persian)
- Seonghee, C., & Harton. (2006). Measuring the impact of human resource management practices on hospitality firm’s performance. International Hospitality Management, elsevier ltd.

- Spence., & Heather, K. (2002). The impact of workplace empowerment, organizational trust on staff nurses work satisfaction and organizational commitment. Advances in Health Management, 56-85.
- Taheri, S. (2009). Productivity and its analysis in organizations. tehran: Hastan publication, 170.(in Persian)
- Thakkar, J.; Kanda, A., & Deshmukh, S. G. (2008). Interpretive structural modeling of Information technology-enablers for indian manufacturing SMEs, Information Management & Computer Security, 16(2),113-136.
- Thakkar, J.; Deshmukh, S. G; Gupta, A. D., & Shankar, R. (2007). Development of balanced scorecard: an integrated approach of interpretive structural modeling and analytic network process, International Journal of Productivity and Performance Management, 56(1).25-59
- Tavari, M.; Sokhakeian, M., & Mirnejad, S. (2008). Identification and prioritize the factors affecting the productivity of human resources with MADM technique. Journal of Industry Management, 1(1).71-88. (in Persian)
- Wright, P.; Perrell., & Gloet, M. (2008). Cultural values, workplace behavior and productivity in China: a conceptual framework for practicing managers. Management Decision. 46(5). 797-812.
- Zarre, M. (2000). Workforce in power distribution company, masters tesis, Azad university of Kerman. (in Persian)