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Identification and Ranking Paramount Factors Affecting the Organizational Health Using AHP Method (Case Study: Gas Transmission Office in Area 7)

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  • Maryam Asgharinajib
  • Rohollah Sohrabi
  • Kambiz Hamidi

Abstract

The organizational health is amongst the overriding concepts in management employed to indicate the overall condition of organizations and companies. Organizational health in national organizations would culminate into appropriate decisions, policy-making and due application of policies. Hence, the aim of this study was to identify and rank paramount factors affecting the organizational health.The data gathering instrument was researcher-made questionnaires. 500 questionnaires were distributed among the employees of Gas Transfer Office in Area 7 and 230 of them were collected and analyzed by virtue of structural equations modeling in LISREL Software. The verification procedure was carried out through the “Pearson Correlation Test†using SPSS. The ranking of aforementioned factors was carried out through the use of AHP analysis in Expert Choice Software.The results showed that there was a significant relationship between organizational health and the factors such as trust, motivation, responsiveness, reputation, capabilities, outward tendency, path-objective, collaboration, coordination, innovation, ethics, communication, commitment, leadership, performance identifying ,culture, employee effectiveness, and, resource usage. The final model was validated. Also, the final model was validated. Communication factor is ranked as the first paramount factor while capability factor is the 18th factor.

Suggested Citation

  • Maryam Asgharinajib & Rohollah Sohrabi & Kambiz Hamidi, 2016. "Identification and Ranking Paramount Factors Affecting the Organizational Health Using AHP Method (Case Study: Gas Transmission Office in Area 7)," Asian Social Science, Canadian Center of Science and Education, vol. 12(3), pages 1-71, March.
    • Handle: RePEc:ibn:assjnl:v:12:y:2016:i:3:p:71
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    References listed on IDEAS

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    1. Paul Dion, 2008. "Interpreting Structural Equation Modeling Results: A Reply to Martin and Cullen," Journal of Business Ethics, Springer, vol. 83(3), pages 365-368, December.
    2. James Anderson & David Gerbing, 1984. "The effect of sampling error on convergence, improper solutions, and goodness-of-fit indices for maximum likelihood confirmatory factor analysis," Psychometrika, Springer;The Psychometric Society, vol. 49(2), pages 155-173, June.
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    More about this item

    JEL classification:

    • R00 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General - - - General
    • Z0 - Other Special Topics - - General

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