Analysis of Causal Relationships Effective Factors on the Green Supplier Selection in Health Centers Using the Intuitionistic Fuzzy Cognitive Map (IFCM) Method

Document Type : Original Manuscript

Authors

1 Yahyazadeh Blvd., Khorramshahr Blvd., Meybod, Yazd, Iran

2 Assistant Professor of Management Faculty, Vali-e-Asr University of Rafsanjan, Rafsanjan, Iran

3 Master science of Management, Vali-e-Asr University of Rafsanjan, Rafsanjan, Iran

Abstract

The healthcare sector is one of the largest service industries with the highest potential to improve environmental performance. Hospitals as an important part of the healthcare system must act in a way that reduces their environmental consequences, which requires having a green supplier. The aim of this study was to identify the effective factors on the green supplier selection (GSS) in the hospital and to present an excellent model for analyzing the relationships between these factors. In this study, 14 concepts that effect the green supplier selection of a hospital have been extracted from in-depth literature and interviews entailing: financial capability, creativity and innovation, green technology, flexibility, organizational capability, commitment, trust on supplier, green quality, green transportation, environmental cooperation with customers, hazardous materials management, buy green, green warehouse and green packaging.In addition Intuitive fuzzy cognitive mapping approach was also used for data analysis and conclusion. The results showed that green technology index with 0.43 degree was the most influential and organizational capability index with 0.29 degree had the most influence over the other concepts. In addition, focusing on concepts like financial capability, trust on supplier and creativity and innovation process of green supplier selection of hospital. Taking these in consideration these factors should be given specific attention.

Graphical Abstract

Analysis of Causal Relationships Effective Factors on the Green Supplier Selection in Health Centers Using the Intuitionistic Fuzzy Cognitive Map (IFCM) Method

Highlights

  • This paper presents the FCM Approach in an Intuitionistic Fuzzy Environment for to examine causal relationships between effective concepts in the selection of a hospital's green supplier.
  • Identify the concepts affecting green suppliers by review of the research literature and interview with hospital experts.
  • Determining concepts with high impact in the selection of green suppliers.
  • Determining concepts with high centrality (total impact of delimitation and influence) in the selection of green suppliers.

Keywords


Abbas, J., & Sağsan, M. (2019). Impact of knowledge management practices on green innovation and corporate sustainable development: A structural analysis. Journal of cleaner production, 229, 611-620.
Abdallah, A. B., Abdullah, M. I., & Saleh, F. I. M. (2017). The effect of trust with suppliers on hospital supply chain performance: the mediating role of supplier integration. Benchmarking: An International Journal.
Adibi, M. A., & Esfandyari, N. (2021). Identifying and Evaluating Effective Factors in Green Supplier Selection using Association Rules Analysis. Journal of Optimization in Industrial Engineering, 14(2), 115-125.
Aissaoui, N., Haouari, M., & Hassini, E. (2007). Supplier selection and order lot sizing modeling: A review. Computers & operations research, 34(12), 3516-3540.
Aliakbari, A., & Seifbarghy, M. (2011). A supplier selection model for social responsible supply chain. Journal of Optimization in Industrial Engineering, (8), 41-53.
Allan, C., Jaffe, A. B., & Sin, I. (2014). Diffusion of green technology: a survey.
Awasthi, A., & Kannan, G. (2016). Green supplier development program selection using NGT and VIKOR under fuzzy environment. Computers & Industrial Engineering, 91, 100-108.
Baltacioglu, T., Ada, E., Kaplan, M. D., Yurt And, O., & Cem Kaplan, Y. (2007). A new framework for service supply chains. The Service Industries Journal, 27(2), 105-124.
Bellman, R. E., & Zadeh, L. A. (1970). Decision-making in a fuzzy environment. Management science, 17(4), B-141-B-164.
Blass, A. P., da Costa, S. E. G., de Lima, E. P., & Borges, L. A. (2017). Measuring environmental performance in hospitals: A practical approach. Journal of cleaner production, 142, 279-289.
Blome, C., Hollos, D., & Paulraj, A. (2014). Green procurement and green supplier development: antecedents and effects on supplier performance. International Journal of Production Research, 52(1), 32-49.
Busu, C., & Busu, M. (2021). Research on the factors of competition in the green procurement processes: A case study for the conditions of romania using pls-sem methodology. Mathematics, 9(1), 16.
Chandak, A., Chandak, S., & Dalpati, A. (2021). Evaluation of Impact of Success Factors of Supply Chain Strategy and Flexibility on Supply Chain Performance. Pakistan Journal of Statistics and Operation Research, 185-194.
Chen, D. Q., Preston, D. S., & Xia, W. (2013). Enhancing hospital supply chain performance: A relational view and empirical test. Journal of Operations Management, 31(6), 391-408.
Cherrafi, A., Garza-Reyes, J. A., Kumar, V., Mishra, N., Ghobadian, A., & Elfezazi, S. (2018). Lean, green practices and process innovation: A model for green supply chain performance. International Journal of Production Economics, 206, 79-92.
Chithambaranathan, P., Subramanian, N., Gunasekaran, A., & Palaniappan, P. K. (2015). Service supply chain environmental performance evaluation using grey based hybrid MCDM approach. International Journal of Production Economics, 166, 163-176.
Choi, T. Y., & Hartley, J. L. (1996). An exploration of supplier selection practices across the supply chain. Journal of Operations Management, 14(4), 333-343.
Closs, D. J., & Mollenkopf, D. A. (2004). A global supply chain framework. Industrial marketing management, 33(1), 37-44.
de Vargas Mores, G., Finocchio, C. P. S., Barichello, R., & Pedrozo, E. A. (2018). Sustainability and innovation in the Brazilian supply chain of green plastic. Journal of cleaner production, 177, 12-18.
Demir, L., Akpınar, M. E., Araz, C., & Ilgın, M. A. (2018). A green supplier evaluation system based on a new multi-criteria sorting method: VIKORSORT. Expert Systems with Applications, 114, 479-487.
Deng, Y., You, D., & Wang, J. (2019). Optimal strategy for enterprises’ green technology innovation from the perspective of political competition. Journal of cleaner production, 235, 930-942.
Du, K., Li, P., & Yan, Z. (2019). Do green technology innovations contribute to carbon dioxide emission reduction? Empirical evidence from patent data. Technological Forecasting and Social Change, 146, 297-303.
Dyer, J. H., & Chu, W. (2000). The determinants of trust in supplier-automaker relationships in the US, Japan and Korea. Journal of international business studies, 31(2), 259-285.
Fritz, M. M., Schöggl, J.-P., & Baumgartner, R. J. (2017). Selected sustainability aspects for supply chain data exchange: Towards a supply chain-wide sustainability assessment. Journal of cleaner production, 141, 587-607.
Fu, X., Zhu, Q., & Sarkis, J. (2012). Evaluating green supplier development programs at a telecommunications systems provider. International Journal of Production Economics, 140(1), 357-367.
Ghisellini, P., & Ulgiati, S. (2020). Circular economy transition in Italy. Achievements, perspectives and constraints. Journal of cleaner production, 243, 118360.
Ghodsypour, S. H., & O'Brien, C. (1998). A decision support system for supplier selection using an integrated analytic hierarchy process and linear programming. International Journal of Production Economics, 56, 199-212.
Grant, R. M. (1996). Prospering in dynamically-competitive environments: Organizational capability as knowledge integration. Organization science, 7(4), 375-387.
Ha, S. H., & Krishnan, R. (2008). A hybrid approach to supplier selection for the maintenance of a competitive supply chain. Expert Systems with Applications, 34(2), 1303-1311.
Hosseini-Motlagh, S.-M., Nematollahi, M., & Nouri, M. (2018). Coordination of green quality and green warranty decisions in a two-echelon competitive supply chain with substitutable products. Journal of cleaner production, 196, 961-984.
Huo, B. (2012). The impact of supply chain integration on company performance: an organizational capability perspective. Supply Chain Management: An International Journal.
Hwang, H.-S., Moon, C., Chuang, C.-L., & Goan, M.-J. (2005). Supplier selection and planning model using AHP. International Journal of the Information Systems for Logistics and Management, 1(1), 47-53.
Jadhav, A., Orr, S., & Malik, M. (2019). The role of supply chain orientation in achieving supply chain sustainability. International Journal of Production Economics, 217, 112-125.
Jüttner, U., & Maklan, S. (2011). Supply chain resilience in the global financial crisis: an empirical study. Supply Chain Management: An International Journal.
Kaiser, B., Eagan, P. D., & Shaner, H. (2001). Solutions to health care waste: life-cycle thinking and" green" purchasing. Environmental Health Perspectives, 109(3), 205-207.
Kosko, B. (1986). Fuzzy cognitive maps. International journal of man-machine studies, 24(1), 65-75.
Kwon, I.-W. G., Kim, S.-H., & Martin, D. G. (2016). Healthcare supply chain management; strategic areas for quality and financial improvement. Technological Forecasting and Social Change, 113, 422-428.
Lenin, K. (2014). Measuring supply chain performance in the healthcare industry. Science Journal of Business and Management, 2(5), 136-142.
Li, X., Wu, Q., Holsapple, C. W., & Goldsby, T. (2017). An empirical examination of firm financial performance along dimensions of supply chain resilience. Management Research Review.
Liu, H. m., & Yang, H. f. (2019). Managing network resource and organizational capabilities to create competitive advantage for SMEs in a volatile environment. Journal of Small Business Management, 57, 155-171.
Lukinskiy, V., Lukinskiy, V., & Churilov, R. (2014). Problems of the supply chain reliability evaluation. Transport and telecommunication, 15(2), 120.
Margareta, W., Ridwan, A. Y., & Muttaqin, P. S. (2020). Green Warehouse Performance Measurement Model for 3PL Warehousing. Paper presented at the Proceedings of the 3rd Asia Pacific Conference on Research in Industrial and Systems Engineering 2020.
Martens, M. L., & Carvalho, M. M. (2017). Key factors of sustainability in project management context: A survey exploring the project managers' perspective. International Journal of Project Management, 35(6), 1084-1102.
McKone‐Sweet, K. E., Hamilton, P., & Willis, S. B. (2005). The ailing healthcare supply chain: a prescription for change. Journal of Supply Chain Management, 41(1), 4-17.
Mendoza, A. (2007). Effective methodologies for supplier selection and order quantity allocation: The Pennsylvania State University.
Messelbeck, J., & Whaley, M. (1999). Greening the health care supply chain: triggers of change, models for success. Corporate Environmental Strategy, 6(1), 39-45.
Mirghafoori, S. H., Sharifabadi, A. M., & Takalo, S. K. (2018). Development of causal model of sustainable hospital supply chain management using the Intuitionistic Fuzzy Cognitive Map (IFCM) method. Journal of Industrial Engineering and Management (JIEM), 11(3), 588-605.
Moretto, A., Grassi, L., Caniato, F., Giorgino, M., & Ronchi, S. (2019). Supply chain finance: From traditional to supply chain credit rating. Journal of Purchasing and Supply Management, 25(2), 197-217.
Morlacchi, P., Pavesi, S., & Savoldelli, A. (1998). SMEs in supply chain: a supplier evaluation model and some empirical results Organizing the Extended Enterprise (pp. 158-175): Springer.
Özesmi, U., & Özesmi, S. L. (2004). Ecological models based on people’s knowledge: a multi-step fuzzy cognitive mapping approach. Ecological modelling, 176(1-2), 43-64.
Papageorgiou, E., Stylios, C., & Groumpos, P. (2003). Fuzzy cognitive map learning based on nonlinear Hebbian rule. Paper presented at the Australasian joint conference on artificial intelligence.
Papageorgiou, E. I. (2011). Learning algorithms for fuzzy cognitive maps—a review study. IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews), 42(2), 150-163.
Paparoidamis, N. G., Katsikeas, C. S., & Chumpitaz, R. (2019). The role of supplier performance in building customer trust and loyalty: A cross-country examination. Industrial marketing management, 78, 183-197.
Rezaee, M. J., Yousefi, S., & Hayati, J. (2017). A multi-objective model for closed-loop supply chain optimization and efficient supplier selection in a competitive environment considering quantity discount policy. Journal of Industrial Engineering International, 13(2), 199-213.
Rodriguez-Repiso, L., Setchi, R., & Salmeron, J. L. (2007). Modelling IT projects success with fuzzy cognitive maps. Expert Systems with Applications, 32(2), 543-559.
Rokka, J., & Uusitalo, L. (2008). Preference for green packaging in consumer product choices–do consumers care? International Journal of Consumer Studies, 32(5), 516-525.
Rostamzadeh, R., Govindan, K., Esmaeili, A., & Sabaghi, M. (2015). Application of fuzzy VIKOR for evaluation of green supply chain management practices. Ecological Indicators, 49, 188-203.
Sabri, Y., Micheli, G. J., & Nuur, C. (2018). Exploring the impact of innovation implementation on supply chain configuration. Journal of Engineering and Technology Management, 49, 60-75.
Sancha, C., Longoni, A., & Giménez, C. (2015). Sustainable supplier development practices: Drivers and enablers in a global context. Journal of Purchasing and Supply Management, 21(2), 95-102.
Sarkis, J. (2006). Greening the supply chain: Springer.
Savita, K., Dominic, P., & Ramayah, T. (2014). The adoption of green information technologies and systems as a driver within green SCM. Paper presented at the 2014 International Conference on Computer and Information Sciences (ICCOINS).
Seuring, S., & Müller, M. (2008). Core issues in sustainable supply chain management–a Delphi study. Business strategy and the environment, 17(8), 455-466.
Shaw, K., Shankar, R., Yadav, S. S., & Thakur, L. S. (2012). Supplier selection using fuzzy AHP and fuzzy multi-objective linear programming for developing low carbon supply chain. Expert Systems with Applications, 39(9), 8182-8192.
Shen, X., Yi, H., & Wang, J. (2021). Optimization of picking in the warehouse. Paper presented at the Journal of Physics: Conference Series.
Srivastava, S. K. (2007). Green supply‐chain management: a state‐of‐the‐art literature review. International journal of management reviews, 9(1), 53-80.
Stach, W., Kurgan, L., Pedrycz, W., & Reformat, M. (2005). Genetic learning of fuzzy cognitive maps. Fuzzy sets and systems, 153(3), 371-401.
Tang, M., Liao, H., Wan, Z., Herrera-Viedma, E., & Rosen, M. A. (2018). Ten years of sustainability (2009 to 2018): A bibliometric overview. Sustainability, 10(5), 1655.
Toba, S., Tomasini, M., & Yang, Y. H. (2008). Supply chain management in hospital: a case study. California Journal of Operations Management, 6(1), 49-55.
Tolmay, A. S., & Antwerpen, S. V. (2021). Commitment as a buyer-supplier antecedent for supply chain sustainability. International Journal of Logistics Systems and Management, 38(4), 409-424.
Ulrich, D., & Lake, D. (1991). Organizational capability: Creating competitive advantage. Academy of Management Perspectives, 5(1), 77-92.
Van Marrewijk, M., & Werre, M. (2003). Multiple levels of corporate sustainability. Journal of Business ethics, 44(2), 107-119.
Wittstruck, D., & Teuteberg, F. (2012). Understanding the success factors of sustainable supply chain management: empirical evidence from the electrics and electronics industry. Corporate social responsibility and environmental management, 19(3), 141-158.
Yang, C.-S. (2018). An analysis of institutional pressures, green supply chain management, and green performance in the container shipping context. Transportation Research Part D: Transport and Environment, 61, 246-260.
Yang, C.-S., Lu, C.-S., Haider, J. J., & Marlow, P. B. (2013). The effect of green supply chain management on green performance and firm competitiveness in the context of container shipping in Taiwan. Transportation Research Part E: Logistics and Transportation Review, 55, 55-73.
Yemane, A. M., Heniey, H. A., & Gebrehiwet, K. G. (2021). Performance Measurement and Improvement of Healthcare Service Using Discrete Event Simulation in Bahir Dar Clinic. Journal of Optimization in Industrial Engineering, 14(2), 57-67.
Yoon, K. P., & Hwang, C.-L. (1995). Multiple attribute decision making: an introduction: Sage publications.
Yu, W., Zhao, G., Liu, Q., & Song, Y. (2021). Role of big data analytics capability in developing integrated hospital supply chains and operational flexibility: An organizational information processing theory perspective. Technological Forecasting and Social Change, 163, 120417.
Zhang, X., & Han, J. (2011). Analysis on the importance of nodes in supply chain network. Paper presented at the 2011 International Conference on Business Computing and Global Informatization.
Zhu, Q., Sarkis, J., & Lai, K.-h. (2012). Green supply chain management innovation diffusion and its relationship to organizational improvement: An ecological modernization perspective. Journal of Engineering and Technology Management, 29(1), 168-185.
Zimmermann, R., Ferreira, L. M. D., & Moreira, A. C. (2016). The influence of supply chain on the innovation process: a systematic literature review. Supply Chain Management: An International Journal.