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:: Volume 4, Issue 2 (9-2018) ::
2018, 4(2): 35-65 Back to browse issues page
Knowledge Management in Iran's Buy-back Oil Contracts: Structural Equations Modeling
Faysal Ameri * , Ruhollah Tavallaee , Seyyed Mahdi Mirfattah
Abstract:   (3815 Views)
 
Oil contracts are supposed to facilitate knowledge transfer from foreign investors to the host country staff improving local knowledge and managerial skills. This paper aims at examining knowledge management in Iran's oil buy-back contracts using structural equations modeling. According to Probst et al. (1998) knowledge management is a multi-dimensional phenomenon including knowledge targets, identification, acquisition, development, allocation, deployment, preservation and measurement of knowledge. Based on the two questionnaires relating to KM in Probst model and practice of KM in Iran oil industry, data gathered from experts of National Iranian Oil Company have been used to evaluate the knowledge management implications of buy- back contracts through structural equations modelling approach. According to the results buy-back contracts have no effect on the existing knowledge management situation in the oil industry. All of KM dimensions should be taken into account in buy-back contracts to improve the KM status in the oil industry.
Keywords: Oil Contracts, Buy-Back, Knowledge Management, Probst Model
Full-Text [PDF 358 kb]   (2041 Downloads)    
Type of Study: Applicable | Subject: Special
Received: 2017/09/30 | Accepted: 2018/07/19 | Published: 2018/12/16
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Ameri F, Tavallaee R, Mirfattah S M. Knowledge Management in Iran's Buy-back Oil Contracts: Structural Equations Modeling. Quarterly Journal of Energy Policy and Planning Research 2018; 4 (2) :35-65
URL: http://epprjournal.ir/article-1-325-en.html


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Creative Commons License This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
Volume 4, Issue 2 (9-2018) Back to browse issues page
مجله پژوهش های برنامه ریزی و سیاستگذاری انرژی Journal of Energy Planning And Policy Research
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