منابع:
- Agarwal, A.; Shankar, R. and M.K. Tiwari (2007).”Modeling Agility of Supply Chain”, Industrial Marketing Management, 36(1) , 443-457.
- Akhavan, Peiman; Zahedi,Mohammadreza ; Najmi , Ali (2011) . “Key success factors of knowledge management in the automotive industry's supply chains”,Farda Management .tenth year , 26(1), 77-100. (in Persian)
- Alvandi, N; Mirzaei, R. and Tarokh, M.J. (2014). Investigating the Effective Factor on CSF of KM: Management Consultant Company, Industrial Management Studies, 11(30), 99-127. (in Persian)
- Azar, Adel ;Tirzo,Ali ;Moghbel Baarz ,abbas;Anvari Rostami , Aliasqar (2010) , “Design and supply chain agility, interpretive structural modeling approach, teaching humanities-research management in Iran” , 4(1) . 1-25. (in Persian)
- Cerchione, R. and Esposito, E. (2016). A systematic review of supply chain knowledge management research: State of the art and research opportunities, International Journal of Production Economics, 182 (1), 276-292.
- Cheng, J., Yeh, C., & Tu, C. (2008). Trust and knowledge sharing in green supply chains. Supply Chain Management: An International Journal, 13(4), 283–295.
- Cheung, C. F., Kwok, S. K., & heung, C. M. (2012). A knowledge-based customization system for supply chain integration. Expert Systems with Applications, 39(4), 3906–3924.
- Chopra, S., and P.Meindl.( 2007).” Supply chain management” . New Jersey: Prentice-Hall publication.
- Clemons, R. and Slotnick, S.A. (2016). The effect of supply-chain disruption, quality and knowledge transfer on firm strategy, International Journal of Production Economics, 178(1), 169-186.
- Collins, J.D. Worthington, W.J. Reyes, P.M. and Romero, M. (2010). “Knowledge Management, Supply Chain Technologies and Firm Performance”, Management Research Review, 33(10), 947-960.
-
Coulson, C.T. (2004). "The knowledge entrepreneurship challenge: Moving on from knowledge sharing to knowledge creation and exploitation",
The Learning Organization, 11 (1), 84 – 93.
- Desai, A. and Rai, S. (2016). Knowledge Management for Downstream Supply Chain Management of Indian Public Sector Oil Companies, Procedia Computer Science, 79(1), 1021-1028.
- Dorostkar Ahmadi, N. and Shafiei Nikabadi, M. (2015). Presenting an Fuzzy Intelligence Model for Evaluating KM Process in SC: Iran Khodro Corporation, Industrial Management Vision, 18 (5), 153-175. (in Persian)
- Enriquez, C.A.R., Hernandez, G.A., Miranda, J.M., Cervantes, J.L.S., Mazahua, L.R., Ramirez, C.S. (2016). Supply chain knowledge management supported by a simple knowledge organization system, Electronic Commerce Research and Applications, 19 (1), 1–18
- Gonzalez, J.C. Saez, P.L. and Lopez, J.E.N. (2015). Absorbing knowledge from supply-chain, industry and science: The distinct moderating role of formal liaison devices on new product development and novelty. Industrial Marketing Management, 47(1), 75-85.
- Huang, C. C., & Lin, S. (2010). Sharing knowledge in a supply chain using the semantic web. Expert Systems with Applications, 37(4), 3145–3316.
- Kabiri Naeini, M. and Hosseini Nasab, H. (2009). Designing of Knowledge Management Systems for Supply Chain, 5th International Conference of Information Technology. (in Persian)
- Lin, L. and Kwok, L. (2006).”Challenges to KM at Hewlett Packard China”, Knowledge Management Review, Vol. 9, No.1, pp.20-23.
- Lynn, M.R.(1988).” Determination and quantification of content validity”, Nurs Res, 35(1), 382-385.
- Marra, M. Ho, W. and Edwards, J.S. (2012). “Supply chain knowledge management: A literature review”, Expert Systems with Applications, 39(1), 6103-6110.
- Maqsood, T., & Finegan, D. W. A. (2007). Extending the ‘‘knowledge advantage’’: Creating learning chains. The Learning Organization, 14(2), 123–141.
- McKenzie, J.F., Wood, M.L. and Kotecki, J.E. (1999) . “Establishing content validity: using qualitative and quantitative steps”, American Journal of Health Behavior, 23(1), 311-318.
- Mehralizadeh, Y. and Abdi, M.R.(2012). Knowledge Management System: Experience of Official Tax, Chamran University Publication, First Edition. (in Persian)
- Mentzer, J.T. DeWitt,W. Keebler,J.S. Min,S. Nix,N.W. Smith,C.D. and Zacharia,Z.G. (2001). “Defining Supply Chain Management”, Journal Of Business Logistics, 22(2) , 1-25..
- Myers, B.M. and Cheung, M.S. (2008).”Sharing Global Supply Chain Knowledge”, MIT Sloan Management Review, 49(4), 67-73.
- Natti, S., & Ojasalo, J. (2008). Loose coupling as an inhibitor of internal customer knowledge transfer: Findings from an empirical study in B-to-B professional services. Journal of Business and Industrial Marketing, 23(3), 213–223.
- Park, J. Y., Im, K. S., & Kim, J. S. (2011). The role of IT human capability in the knowledge transfer process in IT outsourcing context. Information & Management, 48(1), 53–61.
- Patil, S.K. and Kant, R. (2014). A fuzzy AHP-TOPSIS framework for ranking the solutions of Knowledge Management adoption in Supply Chain to overcome its barriers, Expert Systems with Applications, 41, 679-693.
- Patil, S.K. and Kant, R. (2014). A hybrid approach based on fuzzy DEMATEL and FMCDM to predict success of knowledge management adoption in supply chain, Applied Soft Computing, 18 (1), 126–135.
- Patil, S.K. and Kant, R. (2016). Evaluating the impact of Knowledge Management adoption on Supply Chain performance by BSC-FANP approach: An empirical case study, TEKHNE (Review of Applied Management Studies), 14 (1), 52-74.
- Pfohl, H.C.; Gallus, P. and D. Thomas,(2011). “Interpretive Structural Modeling of Supply Chain Risks”, International Journal of Physical Distribution & Logistics Management, 41(9), 839 – 859.
- Samuel, K.E. Goury. M.L. Gunasekaran, A. and Spalanzani, A. (2011). “Knowledge Management in Supply Chain: An Empirical Study from France”, Journal of Strategic Information Systems, 20(3), 283-306.
- Shakerian, H., Dehnavi, H., Shateri, F. (2016). A framework for the implementation of knowledge management in supply chain management, Procedia (Social and Behavioral Sciences), 230 (1), 176 – 183.
- Shih, S. C., Hsu, S., Zhu, Z., & Balasubramanian, S. (2012). Knowledge sharing-A key role in the downstream supply chain. Information & Management, 49(2), 70–80.
- Shojaei, P. (2016). Modeling the Knowledge Management Barriers in SC by Using ISM and Fuzzy MICMAC, Industrial Management Vision, 21(1), 53-74. (in Persian)
- Sorensen, L.B. (2005). “How Risk and Uncertainity is Used in Supply Chain Managament: a Literature Study”,
International Journal of Integrated Supply Management, Vol.1, No.4, pp.387-409.
- Tako, A.A. and S. Robinson (2011). “The application of discrete event simulation and system dynamics in the logistics and supply chain context”: Decision Support System, PP.1-14.
- Vaezi , Fereshteh ; Shahraki Alireza (1390) .” Role of knowledge management in the success of the supply chain”, Forogh Tadbir, 18(1), , 33-42. (in Persian)
- Wang, C., Fergusson, C., & Perry, D. (2008). A conceptual case-based model for knowledge sharing among supply chain members. Business Process Management Journal, 14(2), 147–165.
- Wallace, L.S., Blake, G.H., Parham,J.S. and Baldridge ,E. (2003).” Development and Content Validation of Family Practice Residency Recruitment Questionnaires, Family Medicine, 35(7), 496-498.
- Wang, C., Fergusson, C., & Perry, D. (2008). A conceptual case-based model for knowledge sharing among supply chain members. Business Process Management Journal, 14(2), 147–165.
- Warfield, J.W. (1974)." Developing Interconnected Matrices in Structural Modeling”, IEEE Transcript on Systems Men and Cybernetics, 4(1) , 51-81.
- Wong, W.P. and Wong, K.Y. (2011).” Supply Chain Management, Knowledge Management Capability, and Their Linkages Towards Firm Performance”, Business Process Management Journal, 17(6), pp.940-964.
- Wu, D. J. (2001). Software agents for knowledge management: Coordination in multi agent supply chains and auctions. Expert Systems with Applications, 20(1), 51–64.
- Zhao, J., Pablo, P., & Qi, Z. (2012). Enterprise knowledge management model based on China’s practice and case study. Computers in Human Behavior, 28(2), 324–330.