رویکردی ترکیبی برای توسعه مدل ساختاری عوامل مؤثر بر همکاری در زنجیره تأمین صنایع لوازم‌خانگی

نوع مقاله : مقاله پژوهشی

نویسندگان

1 دکتری، دانشگاه علامه طباطبائی.

2 استاد، دانشگاه علامه طباطبائی.

10.52547/jimp.10.1.89

چکیده

همکاری زنجیره تأمین بعنوان یک رویکرد جمعی مؤثر علیه رقبای بازار، در پی بهبود عملکرد زنجیره تأمین است. برای شکل­‌گیری همکاری در زنجیره تأمین باید به این پرسش پاسخ داد که عوامل مؤثر بر همکاری زنجیره تأمین کدام‌­اند و روابط میان آنها چگونه است؟ برای پاسخگویی به این سؤال‌ها، این پژوهش با به‌کارگیری رویکردی ترکیبی در پی توسعه مدلی از عوامل مؤثر بر همکاری زنجیره تأمین است. بدین‌­منظور پس از مرور نظام­‌مند پژوهش‌های حوزه همکاری زنجیره تأمین که با هدف شناسایی عوامل مؤثر انجام شد، با به‌کارگیری مدل پشتیبانی اجماع گسسته میان خبرگان اجماع حاصل شد و عوامل منتخب شناسایی شدند؛ سپس با به‌کارگیری دو رویکرد مدل‌سازی ساختاری ـ تفسیری و نقشه‌های شناختی فازی، ضمن شناسایی روابط و تعاملات و همچنین تقسیم‌بندی نوع متغیرها، قوت روابط میان آن‌ها نیز تعیین شد. به‌کارگیری این دو روش مکمل، ضمن رفع نقاط ضعف این دو رویکرد، موجب تقویت مدل ساختاری حاصل به شکل کمّی­‌کردن قوت روابط می­‌شود. مدل حاصل ضمن اینکه نحوه اثرگذاری متغیرهای مؤثر بر همکاری را از حیث سطوح و تقدم و تأخر مشخص می‌سازد، قدرت انتخاب در مورد قوت متغیرها را نیز فراهم می­‌آورد که می‌­تواند مبنایی مناسب برای تصمیم­‌گیری مدیران به‌­منظور توسعه همکاری زنجیره تأمین فراهم کند. 

کلیدواژه‌ها

عنوان مقاله [English]

A Hybrid Approach to Develop a Structural Model of Factors Affecting Supply Chain Collaboration in Home Appliance Industry

نویسندگان [English]

  • Arash Shahryari Nia 1
  • Laya Olfat 2
  • Maghsoud Amiri 2
  • Abolfazl Kazazi 2
1 Ph.D, Allameh Tabataba'i University.
2 Professor, Allameh Tabataba'i University.
چکیده [English]

Supply chain collaboration as a collective approach to compete against rivals, aims to improve performance of supply chain. In order to develop collaboration across supply chain it is vital to identify factors affecting collaboration and their interactions. to do so, we have proposed a hybrid methodology to develop a model of factors affecting supply chain collaboration. In first step, Systematic Literature Review was used to identify factors affecting supply chain collaboration. Then, Discrete Consensus Support Model was employed to make close consensus among experts and to select the most preferred factors. In next step interpretive structural modeling and fuzzy cognitive maps were used to develop hierarchical structure of interactions among factors and also to determine the strength of causality relations. Simultaneous use of these two methods compensates the weakness of both methods by developing a quantified structural model of factors affecting supply chain collaboration. The developed model provides useful information about relationships among factors and also the strength of these relations which facilitate the decision-making process for managers of home appliance companies to develop collaboration.

کلیدواژه‌ها [English]

  • Supply Chain Collaboration
  • Home Appliance Industry
  • Systematic Literature Review
  • Interpretive Structural Modeling
  • Fuzzy Cognitive Maps

مراجع

  1. Aggarwal, S., & Srivastava, M. K. (2016). Towards a grounded view of collaboration in Indian agri-food supply chains. British Food Journal, 118(5), 1085-1106.
  2. Akintoye, A., McIntosh, G., & Fitzgerald, E. (2000). A survey of supply chain collaboration and management in the UK construction industry. European journal of purchasing & supply management, 6(3-4), 159-168.
  3. Al-Refaie, A. (2014). Examining factors affect supply chain collaboration in Jordanian organizations. Journal of Management Analytics, 1(4), 317-337.
  4. Barati, M. (2017). The Impact of Supply Chain Relationships Management on Competitiveness in Iranian Small and Medium-sized Enterprises in Automotive Parts Industry. Journal of Industrial Management Perspective, 7(2), 169-188. (In Persian)
  5. Barratt, M. (2004). Understanding the meaning of collaboration in the supply chain. Supply Chain Management: An International Journal, 9(1), 30–42.
  6. Baykasoğlu, A., & Gölcük, İ. (2017). Development of a two-phase structural model for evaluating ERP critical success factors along with a case study. Computers & Industrial Engineering, 106, 256-274.
  7. Boddy, D., Macbeth, D., & Wagner, B. (2000). Implementing collaboration between organizations: an empirical study of supply chain partnering. Journal of Management studies, 37(7), 1003-1018.
  8. Büyüközkan, G., & Vardaloğlu, Z. (2012). Analyzing of CPFR success factors using fuzzy cognitive maps in retail industry. Expert Systems with Applications, 39(12), 10438-10455.
  9. Camarinha-Matos, L. M., Afsarmanesh, H., Galeano, N., & Molina, A. (2009). Collaborative networked organizations–Concepts and practice in manufacturing enterprises. Computers & Industrial Engineering, 57(1), 46-60.
  10. Cao, M., Vonderembse, M. A., Zhang, Q., & Ragu-Nathan, T. S. (2010). Supply chain collaboration: conceptualisation and instrument development. International Journal of Production Research, 48(22), 6613-6635.
  11. Cao, M., & Zhang, Q. (2010). Supply chain collaborative advantage: a firm’s perspective. International Journal of Production Economics, 128(1), 358-367.
  12. Cao, M., & Zhang, Q. (2011). Supply chain collaboration: Impact on collaborative advantage and firm performance. Journal of operations management, 29(3), 163-180.
  13. Cerchione, R., & 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, 276-292.
  14. Chen, M. C., Yang, T., & Li, H. C. (2007). Evaluating the supply chain performance of IT-based inter-enterprise collaboration. Information & Management, 44(6), 524-534.
  15. Chong, A. Y. L., Chan, F. T., Goh, M., & Tiwari, M. K. (2013). Do interorganisational relationships and knowledge-management practices enhance collaborative commerce adoption? International Journal of Production Research, 51(7), 2006-2018.
  16. Chung, W. W. C., & Leung, S. W. F. (2005). Collaborative planning, forecasting and replenishment: a case study in copper clad laminate industry. Production planning & control, 16(6), 563-574.
  17. Claro, D. P., & Omta, O. (2005). Building collaborative relationships with distributors in the Dutch potted flower and plant industry. Journal of international food & agribusiness marketing, 17(2), 15-38.
  18. Co, H., & Barro, F. (2009). Stakeholder theory and dynamics in supply chain collaboration. International Journal of Operations & Production Management, 53(2), 65.
  19. Danese, P., Romano, P., & Vinelli, A. (2004). Managing business processes across supply networks: the role of coordination mechanisms. Journal of Purchasing and Supply Management, 10(4-5), 165-177.
  20. Daugherty, P. J., Richey, R. G., Roath, A. S., Min, S., Chen, H., Arndt, A. D., & Genchev, S. E. (2006). Is collaboration paying off for firms? Business horizons, 49(1), 61-70.
  21. De Almeida, M. M. K., Marins, F. A. S., Salgado, A. M. P., Santos, F. C. A., & da Silva, S. L. (2015). Mitigation of the bullwhip effect considering trust and collaboration in supply chain management: a literature review. The International Journal of Advanced Manufacturing Technology, 77(1-4), 495-513.
  22. Derrouiche, R., Neubert, G., Bouras, A., & Savino, M. (2010). B2B relationship management: a framework to explore the impact of collaboration. Production Planning & Control, 21(6), 528-546.
  23. Dung, L. T. (2015). Factors Affecting the Collaboration in Supply Chain of Mechanical Enterprises in Vietnam. International Journal of Managing Value and Supply Chains, 6(4), 17–29.
  24. Emberson, C., & Storey, J. (2006). Buyer–supplier collaborative relationships: Beyond the normative accounts. Journal of Purchasing and Supply Management, 12(5), 236-245.
  25. Fawcett, S. E., Fawcett, A. M., Watson, B. J., & Magnan, G. M. (2012). Peeking inside the black box: toward an understanding of supply chain collaboration dynamics. Journal of supply chain management, 48(1), 44-72.
  26. Fawcett, S. E., Magnan, G. M., & McCarter, M. W. (2008). A three‐stage implementation model for supply chain collaboration. Journal of Business Logistics, 29(1), 93-112.
  27. Fawcett, S. E., Wallin, C., Allred, C., Fawcett, A. M., & Magnan, G. M. (2011). Information technology as an enabler of supply chain collaboration: a dynamic‐capabilities perspective. Journal of Supply Chain Management, 47(1), 38-59.
  28. Fu, H. P., Chu, K. K., Lin, S. W., & Chen, C. R. (2010). A study on factors for retailers implementing CPFR—A fuzzy AHP analysis. Journal of Systems Science and Systems Engineering, 19(2), 192-209.
  29. Glock, C. H. (2017). Decision support models for managing returnable transport items in supply chains: A systematic literature review. International Journal of Production Economics, 183, 561-569.
  30. Hanafizadeh, P., Keating, B. W., & Khedmatgozar, H. R. (2014). A systematic review of Internet banking adoption. Telematics and informatics, 31(3), 492-510.
  31. Holimchayachotikul, P., Derrouiche, R., Damand, D., & Leksakul, K. (2014). Value creation through collaborative supply chain: holistic performance enhancement road map. Production Planning & Control, 25(11), 912-922.
  32. Hollmann, R. L., Scavarda, L. F., & Thomé, A. M. T. (2015). Collaborative planning, forecasting and replenishment: a literature review. International Journal of Productivity and Performance Management, 64(7), 971–993.
  33. Holweg, M., Disney, S., Holmström, J., & Småros, J. (2005). Supply chain collaboration: Making sense of the strategy continuum. European management journal, 23(2), 170-181.
  34. Huang, J. J., Tzeng, G. H., & Ong, C. S. (2005). Multidimensional data in multidimensional scaling using the analytic network process. Pattern Recognition Letters, 26(6), 755-767.
  35. Humphries, A. S., & Wilding, R. D. (2004). Long term collaborative business relationships: The impact of trust and C3 behaviour. Journal of Marketing Management, 20(9-10), 1107-1122.
  36. Jeenanunta, C., Ueki, Y., & Visanvetchakij, T. (2013). Supply chain collaboration and firm performance in Thai automotive and electronics industries. Global Business Perspectives, 1(4), 418-432.
  37. Jeng, D. J. F. (2015). Generating a causal model of supply chain collaboration using the fuzzy DEMATEL technique. Computers & Industrial Engineering, 87, 283-295.
  38. Johnsen, T. E., Miemczyk, J., & Howard, M. (2017). A systematic literature review of sustainable purchasing and supply research: Theoretical perspectives and opportunities for IMP-based research. Industrial Marketing Management, 61, 130-143.
  39. Kahn, K. B., Maltz, E. N., & Mentzer, J. T. (2006). Demand collaboration: effects on knowledge creation, relationships, and supply chain performance. Journal of Business Logistics, 27(2), 191-221.
  40. Kumar, G., & Banerjee, R. N. (2012). Collaboration in supply chain. International Journal of Productivity and Performance Management, 61(8), 897–918.
  41. Kumar, G., & Banerjee, R. N. (2014). Supply chain collaboration index: an instrument to measure the depth of collaboration. Benchmarking: An International Journal, 21(2), 184–204.
  42. Kumar, G., Banerjee, R. N., Meena, P. L., & Ganguly, K. (2016). Collaborative culture and relationship strength roles in collaborative relationships: a supply chain perspective. Journal of Business & Industrial Marketing, 31(5), 587–599.
  43. Lehoux, N., D’Amours, S., & Langevin, A. (2014). Inter-firm collaborations and supply chain coordination: review of key elements and case study. Production Planning & Control, 25(10), 858-872.
  44. Liao, S. H., & Kuo, F. I. (2014). The study of relationships between the collaboration for supply chain, supply chain capabilities and firm performance: A case of the Taiwan׳ s TFT-LCD industry. International journal of production economics, 156, 295-304.
  45. Lin, H. F. (2014). The impact of socialization mechanisms and technological innovation capabilities on partnership quality and supply chain integration. Information Systems and e-Business Management, 12(2), 285-306.
  46. Ling, Li. (2012). Effects of enterprise technology on supply chain collaboration: analysis of China-linked supply chain, Enterprise Information Systems, 6(1), 55-77.
  47. Maestrini, V., Luzzini, D., Maccarrone, P., & Caniato, F. (2017). Supply chain performance measurement systems: A systematic review and research agenda. International Journal of Production Economics, 183, 299-315.
  48. Manthou, V., Vlachopoulou, M., & Folinas, D. (2004). Virtual e-Chain (VeC) model for supply chain collaboration. International Journal of Production Economics, 87(3), 241-250.
  49. Matopoulos, A., Vlachopoulou, M., Manthou, V., & Manos, B. (2007) A conceptual framework for supply chain collaboration: empirical evidence from the agri-food industry. Supply Chain Management: An International Journal, 12(3), 177–186.
  50. McCarthy, T. M., & Golicic, S. L. (2002). Implementing collaborative forecasting to improve supply chain performance. International Journal of Physical Distribution & Logistics Management, 32(6), 431–454.
  51. McLaren, T., Head, M., & Yuan, Y. (2002). Supply chain collaboration alternatives: understanding the expected costs and benefits. Internet Research, 12(4), 348–364.
  52. Min, S., Roath, A. S., Daugherty, P. J., Genchev, S. E., Chen, H., Arndt, A. D., & Richey, R. G. (2005). Supply chain collaboration: what’s happening? The International Journal of Logistics Management, 16(2), 237–256.
  53. Mohr, J., & Spekman, R. (1994). Characteristics of partnership success: partnership attributes, communication behavior, and conflict resolution techniques. Strategic management journal, 15(2), 135-152.
  54. Narayanan, S., Narasimhan, R., & Schoenherr, T. (2015). Assessing the contingent effects of collaboration on agility performance in buyer–supplier relationships. Journal of Operations Management, 33, 140-154.
  55. Nyaga, G. N., Whipple, J. M., & Lynch, D. F. (2010). Examining supply chain relationships: Do buyer and supplier perspectives on collaborative relationships differ? Journal of Operations Management, 28(2), 101–114.
  56. Olfat, L., Amiri, M., Raeesi Vanani, I., Esmaeilzadeh, M. (2019). Identifying and Categoring Supplier Development-Related Activities in the Automative Industry. Journal of Industrial Management Perspective, 9(3), 9-54. (In Persian)
  57. Palomares, I., Estrella, F. J., Martínez, L., & Herrera, F. (2014). Consensus under a fuzzy context: Taxonomy, analysis framework AFRYCA and experimental case of study. Information Fusion, 20(1), 252–271.
  58. Panahifar, F., Byrne, P. J., & Heavey, C. (2014). ISM analysis of CPFR implementation barriers. International Journal of Production Research, 52(18), 5255-5272.
  59. Ramanathan, U. (2012). Supply chain collaboration for improved forecast accuracy of promotional sales. International Journal of Operations & Production Management, 32 (6), 676–695.
  60. Ramanathan, U., & Gunasekaran, A. (2014). Supply chain collaboration: Impact of success in long-term partnerships. International Journal of Production Economics, 147(PART B), 252–259.
  61. Ramanathan, U., Gunasekaran, A. & Subramanian, N. (2011). Supply chain collaboration performance metrics: a conceptual framework. Benchmarking: An International Journal, 18(6), 856–872.
  62. Ramesh, A., Banwet, D. K., & Shankar, R. (2008). Modelling the enablers of supply chain collaboration. International Journal of Logistics Systems and Management, 4(6), 617-633.
  63. Ramesh, A., Banwet, D. K., & Shankar, R. (2010) Modeling the barriers of supply chain collaboration. Journal of Modelling in Management, 5(2), 176–193.
  64. Rodriguez-Repiso, L., Setchi, R., & Salmeron, J. L. (2007a). Modelling IT projects success: Emerging methodologies reviewed. Technovation, 27(10), 582–594.
  65. Rodriguez-Repiso, L., Setchi, R., & Salmeron, J. L. (2007b). Modelling IT projects success with Fuzzy Cognitive Maps. Expert Systems with Applications, 32(2), 543–559.
  66. Rollins, M., Pekkarinen, S., & Mehtälä, M. (2011). Inter-firm customer knowledge sharing in logistics services: an empirical study. International Journal of Physical Distribution & Logistics Management, 41(10), 956-971.
  67. Saccani, N., & Perona, M. (2007). Shaping buyer–supplier relationships in manufacturing contexts: Design and test of a contingency model. Journal of Purchasing and Supply Management, 13(1), 26-41.
  68. Sancha, C., Gimenez, C., & Sierra, V. (2016). Achieving a socially responsible supply chain through assessment and collaboration. Journal of Cleaner Production, 112, 1934-1947.
  69. Shateri, H., Amoozad Mahdiraji, H., Mokhtarzade, N. (2019). A Comparison of the Buyback, Rebate and Quantity Flexible Contracts in Multi Echelons Supply Chains with Probabilistic Demand and Game Theory Approach. Journal of Industrial Management Perspective, 9(2), 131-151. (In Persian)
  70. Sheu, C., Yen, H. R., & Chae, B. (2006). Determinants of supplier-retailer collaboration: evidence from an international study. International Journal of Operations & Production Management, 26(1), 24–49.
  71. Simatupang, T. M., & Sridharan, R. (2002). The collaborative supply chain. The international journal of logistics management, 13(1), 15-30.
  72. Simatupang, T. M., & Sridharan, R. (2005). An integrative framework for supply chain collaboration. The International Journal of Logistics Management, 16(2), 257–274.
  73. Singh, P. J., & Power, D. (2009). The nature and effectiveness of collaboration between firms, their customers and suppliers: a supply chain perspective. Supply Chain Management: An International Journal, 14(3), 189–200.
  74. Skjoett‐Larsen, T., Thernøe, C., & Andresen, C. (2003), Supply chain collaboration. International Journal of Physical Distribution & Logistics Management, 33(6), 531–549.
  75. Småros, J. (2007). Forecasting collaboration in the European grocery sector: Observations from a case study. Journal of Operations Management, 25(3), 702-716.
  76. Soosay, C. A., Hyland, P. W., & Ferrer, M. (2008). Supply chain collaboration: Capabilities for continuous innovation. Supply Chain Management, 13(2), 160–169.
  77. Spina, G., Caniato, F., Luzzini, D., & Ronchi, S. (2013). Past, present and future trends of purchasing and supply management: An extensive literature review. Industrial Marketing Management, 42(8), 1202-1212.
  78. Tan, E. N., Smith, G., & Saad, M. (2006). Managing the global supply chain: a SME perspective. Production planning & control, 17(3), 238-246.
  79. Thomé, A. M. T., Hollmann, R. L., & do Carmo, L. S. (2014). Research synthesis in collaborative planning forecast and replenishment. Industrial Management & Data Systems, 114(6), 949–965.
  80. Touboulic, A., & Walker, H. (2015). Love me, love me not: A nuanced view on collaboration in sustainable supply chains. Journal of Purchasing and Supply Management, 21(3), 178-191.
  81. Tranfield, D., Denyer, D., & Smart, P. (2003). Towards a methodology for developing evidence‐informed management knowledge by means of systematic review. British journal of management, 14(3), 207-222.
  82. Tsanos, C. S., & Zografos, K. G. (2016). The effects of behavioural supply chain relationship antecedents on integration and performance. Supply Chain Management: An International Journal, 21(6), 678–693.
  83. Tsanos, C. S., Zografos, K. G., & Harrison, A. (2014). Developing a conceptual model for examining the supply chain relationships between behavioural antecedents of collaboration, integration and performance. International Journal of Logistics Management, 25(3), 418–462.
  84. Wang, W., Yuan, Y., Archer, N., & Guan, J. (2005). Critical factors for CPFR success in the Chinese retail industry. Journal of Internet commerce, 4(3), 23-39.
  85. Whipple, J. M., Lynch, D. F., & Nyaga, G. N. (2010). A buyer's perspective on collaborative versus transactional relationships. Industrial marketing management, 39(3), 507-518.
  86. Wilson, D. T. (1995). An integrated model of buyer-seller relationships. Journal of the academy of marketing science, 23(4), 335-345.
  87. Xu, J., & Wu, Z. (2011). A discrete consensus support model for multiple attribute group decision making. Knowledge-Based Systems, 24(8), 1196-1202.
  88. Yadav, D. K., & Barve, A. (2015). Analysis of critical success factors of humanitarian supply chain: An application of Interpretive Structural Modeling. International Journal of Disaster Risk Reduction, 12, 213–225.
  89. Yaman, D., & Polat, S. (2009). A fuzzy cognitive map approach for effect-based operations: An illustrative case. Information Sciences, 179(4), 382–403.
  90. Zacharia, Z. G., Nix, N. W., & Lusch, R. F. (2009). An analysis of supply chain collaborations and their effect on performance outcomes. Journal of business logistics, 30(2), 101-123.
  91. Zacharia, Z. G., Nix, N. W., & Lusch, R. F. (2011). Capabilities that enhance outcomes of an episodic supply chain collaboration. Journal of operations Management, 29(6), 591-603.
  92. Zare Mehrjerdi, Y., (2002). The collaborative supply chain. Assembly Automation, 29(2), 127–136.

 

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