سامانه پشتیبانی خدمات اطلاعات

  اخبار و اعلانات

 آمار

تعداد نشریات163
تعداد شماره‌ها6,767
تعداد مقالات72,886
تعداد مشاهده مقاله132,087,031
تعداد دریافت فایل اصل مقاله103,632,047
Safaei Ghadikolaei, Abdolhamid, Madhoshi, Mehrdad, Jamalian, Ahmad. (1394). Presenting a Conceptual Model for Sustainable Supplier Selection (A case study in SAIPA supply chain). , 7(4), 767-784. doi: 10.22059/imj.2015.57425
Abdolhamid Safaei Ghadikolaei; Mehrdad Madhoshi; Ahmad Jamalian. "Presenting a Conceptual Model for Sustainable Supplier Selection (A case study in SAIPA supply chain)". , 7, 4, 1394, 767-784. doi: 10.22059/imj.2015.57425
Safaei Ghadikolaei, Abdolhamid, Madhoshi, Mehrdad, Jamalian, Ahmad. (1394). 'Presenting a Conceptual Model for Sustainable Supplier Selection (A case study in SAIPA supply chain)', , 7(4), pp. 767-784. doi: 10.22059/imj.2015.57425
Safaei Ghadikolaei, Abdolhamid, Madhoshi, Mehrdad, Jamalian, Ahmad. Presenting a Conceptual Model for Sustainable Supplier Selection (A case study in SAIPA supply chain). , 1394; 7(4): 767-784. doi: 10.22059/imj.2015.57425

Presenting a Conceptual Model for Sustainable Supplier Selection (A case study in SAIPA supply chain)

Industrial Management Journal
مقاله 6، دوره 7، شماره 4، فروردین 2016، صفحه 767-784    اصل مقاله (590.08 K)
نوع مقاله: Research Paper
شناسه دیجیتال (DOI): 10.22059/imj.2015.57425
نویسندگان
Abdolhamid Safaei Ghadikolaei1؛ Mehrdad Madhoshi2؛ Ahmad Jamalian* 3
1Associate Prof., Faculty of Economic & Adminstrative Sciences, mazandaran University, Babolsar, Iran
2Prof., Faculty of Economic & Adminstrative Sciences, mazandaran University, Babolsar, Iran
3MSc. Student in industrial Management, Faculty of Economic & Adminstrative Sciences University of Mazandaran, Babolsar, Iran
چکیده
Sustainable supplier selection in the long term, lead to a competitive advantage in the supply chain. This study aims to present a conceptual model for sustainable supplier selection in the SAIPA supply chain. In first, based on a comprehensive literature review 58 indicators identified to assess the sustainable suppliers. After checking the indicators by automotive industry's supply chain experts, only 17 indicators were verified. Then, the questionnaire distributed among experts in the SAIPA's supply chain, and finally 191 questionnaires was obtained. In next sustainable supplier selection model was estimated by using confirmatory factor analysis and the indicators explained three latent variables (economic, social and environmental). The results achieved by this research model revealed that the sustainable suppliers in order of priority to the aspects of "social", "economic" and "environmental" conditions. The results achieved by this research model revealed that the sustainable suppliers selection explained by "social", "economic" and "environmental" latent variables. Also the priorities of each sub-index was determined in explained “sustainable suppliers selection” model.
کلیدواژه‌ها
factor analysis؛ SAIPA Company؛ Structural Equation Modeling؛ Sustainable Suppliers selection
مراجع
  1. Ahmady, N., Azadi, M., Sadeghi, S. A. H. & Saen, R. F. (2013). A novel fuzzy data envelopment analysis model with double frontiers for supplier selection, International Journal of Logistics Research and Applications, 16(2): 87- 98.
  2. Amindoust, A., Ahmed, S., Saghafinia, A. & Bahreininejad, A. (2012). Sustainable supplier selection: A ranking model based on fuzzy inference system, Applied Soft Computing, 12(6): 1668- 1677.
  3. Ashrafi, M. & Chaharsooghi, S. K. (2011). Criteria of sustainable supplier selection, Second International and Fourth National Logistics and Supply Chain Conference, Tehran.
  4. Awasthi, A., Chauhan, S. S. & Goyal, S. K. (2010). A fuzzy multicriteria approach for evaluating environmental performance of suppliers, International Journal of Production Economics, 126(2): 370- 378.
  5. Azadi, M., Jafarian, M., Saen, R. F. & Mirhedayatian, S. M. (2015). A new fuzzy DEA model for evaluation of efficiency and effectiveness of suppliers in sustainable supply chain management context, Computers & Operations Research, 54: 274- 285.
  6. Bai, C. & Sarkis, J. (2010). Integrating sustainability into supplier selection with grey system and rough set methodologies, International Journal of Production Economics, 124(1): 252- 264.
  7. Baskaran, V., Nachiappan, S. & Rahman, S. (2012). Indian textile supplier's sustainability evaluation using the grey approach, International Journal of Production Economics, 135(2): 647- 658.
  8. Brandenburg, M., Govindan, K., Sarkis, J. & Seuring, S. (2014). Quantitative models for sustainable supply chain management: Developments and directions, European Journal of Operational Research, 233(2): 299- 312.
    1. Chaharsooghi, S. K. & Ashrafi, M. (2014). Sustainable Supplier Performance Evaluation and Selection with Neofuzzy TOPSIS Method, International Scholarly Research Notices, Available on: http://www.hindawi.com/journals/isrn/2014/434168/.
  9. Chen, C. T., Lin, C. T. & Huang, S. F. (2006). A fuzzy approach for supplier evaluation and selection in supply chain management, International journal of production economics, 102(2): 289- 301.
  10. Ching-Lai, H. & Yoon, K. (1981). Multiple attribute decision making: Methods and applications, Springer-Verlag.‌
  11. Ciliberti, F., Pontrandolfo, P. & Scozzi, B. (2008). Investigating corporate social responsibility in supply chains: A SME perspective, Journal of cleaner production, 16(15): 1579- 1588.
  12. Dao, V., Langella, I. & Carbo, J. (2011). From green to sustainability: Information technology and an integrated sustainability framework, The Journal of Strategic Information Systems, 20(1): 63- 79.
  13. Dyllick, T. & Hockerts, K. (2002). Beyond the business case for corporate sustainability, Business strategy and the environment, 11(2): 130- 141.
  14. Erol, I., Sencer, S. & Sari, R. (2011). A new fuzzy multi-criteria framework for measuring sustainability performance of a supply chain, Ecological Economics, 70(6): 1088- 1100.
  15. Ghadimi, P. & Heavey, C. (2014). Sustainable supplier selection in medical device industry: Toward sustainable manufacturing, Procedia CIRP, 15: 165- 170.
    1. Ghanati, A. H. (2015). 80% of market size of automative industry by Iran Khodro and Saipa is not monopoly, March 23, 2015, Available at: http://www.asrekhodro.com/fa/page/57219.
  16. Golicic, S. L. & Smith, C. D. (2013). A meta‐analysis of environmentally sustainable supply chain management practices and firm performance, Journal of Supply Chain Management, 49(2): 78- 95.
  17. Govindan, K., Khodaverdi, R. & Jafarian, A. (2013). A fuzzy multi criteria approach for measuring sustainability performance of a supplier based on triple bottom line approach, Journal of Cleaner Production, 47: 345- 354.
  18. Handfield, R. B. & Nichols, E. L. (1999). Introduction to supply chain management (Vol. 999), Prentice Hall, Upper Saddle River, NJ.
  19. Kannan, D., Khodaverdi, R., Olfat, L., Jafarian, A. & Diabat, A. (2013). Integrated fuzzy multi criteria decision making method and multi-objective programming approach for supplier selection and order allocation in a green supply chain, Journal of Cleaner Production, 47: 355- 367.
  20. Keskin, G. A., İlhan, S. & Özkan, C. (2010). The Fuzzy ART algorithm: A categorization method for supplier evaluation and selection, Expert Systems with Applications, 37(2): 1235- 1240.
  21. Kuo, R. J., Wang, Y. C. & Tien, F. C. (2010). Integration of artificial neural network and MADA methods for green supplier selection, Journal of Cleaner Production, 18(12): 1161- 1170.
  22. Lozano, R. & Huisingh, D. (2011). Inter-linking issues and dimensions in sustainability reporting, Journal of Cleaner Production, 19(2): 99- 107.
  23. Mani, V., Agarwal, R. & Sharma, V. (2014). Supplier selection using social sustainability: AHP based approach in India, International Strategic Management Review, 2(2): 98- 112.
  24. Mehregan, M. R., Asgharizadeh, E. A. & Safari, H. (2008). The design a model to assess competitiveness at the firm level by using structural equation modeling, Iranian Journal of trade studies,12(46): 1-36. (In Persian)
  25. Mirhedayatian, S. M., Azadi, M. & Saen, R. F. (2014). A novel network data envelopment analysis model for evaluating green supply chain management, International Journal of Production Economics, 147: 544- 554.
  26. Momeni, M. & Ghayoumi, A. F. (2012). Statistical data analysis using SPSS, 7th edition, Simaye Danesh, Tehran. (In Persian)
    1. Nematzadeh, M. R. (2015). Minister of industry at the front of the automative industry, September 1, 2015, Available at: http://www.asrekhodro.com/News/67257.
  27. New, S. J. (1997). The scope of supply chain management research. Supply Chain Management: An International Journal, 2(1): 15-22.
  28. Pagell, M. & Shevchenko, A. (2014). Why research in sustainable supply chain management should have no future, Journal of Supply Chain Management,50 (1): 44- 55.
  29. Petrudi, S. H. H. (2013). Supplier evaluation and order allocation in a sustainable supply chain (Case study: Iranian gas engineering and development company), MS Thesis, Tehran University, Tehran. (In Persian)
  30. Preuss, L. (2005). Rhetoric and reality of corporate greening: A view from the supply chain management function, Business Strategy and the Environment, 14(2): 123.
  31. Roberts, S. (2003). Supply chain specific? Understanding the patchy success of ethical sourcing initiatives, Journal of Business Ethics, 44(2-3): 159- 170.
  32. 35.              Sarmad, Z., Bazargan, A. & Hejazi, E. (2014). Research methods in the behavioral sciences, 26th edition, Agah, Tehran. (In Persian)
  33. Seuring, S. & Müller, M. (2008). From a literature review to a conceptual framework for sustainable supply chain management, Journal of cleaner production, 16(15): 1699- 1710.
  34. 37.              Shahraki, S. A. & Homayouni, S. M. (2013). Determine the supplier performance evaluation indexes with sustainable approach, 2nd National Conference on Industrial Engineering & Sustainable Management, Isfahan,2: 385-396. (In Persian)
  35. Tseng, M. L. & Chiu, A. S. (2013). Evaluating firm's green supply chain management in linguistic preferences, Journal of cleaner production, 40: 22- 31.

 

آمار
تعداد مشاهده مقاله: 58,452
تعداد دریافت فایل اصل مقاله: 19,313





سامانه مدیریت نشریات علمی. قدرت گرفته از سیناوب