Supply chain contract selection in the healthcare industry: a hybrid mcdm method in uncertainty environment

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Published: Jun 1, 2021
DOI: https://doi.org/10.14807/ijmp.v12i4.1356
Keywords:
Critical Successful Factors (CSFs) Delphi method Hesitant fuzzy sets SCM contract Supply Chain Management (SCM)

Main Article Content

Ieva Meidute-Kavaliauskiene
Vilnius Gediminas Technical University
http://orcid.org/0000-0003-0435-7632
Shahryar Ghorbani
Sakarya University
http://orcid.org/0000-0001-6085-1788
صندلی اداری

Abstract

The aim of this research study is to address a critique of how and when a supply chain contract is selected based on critical success factors (CSFs) utilizing stepwise weight assessment ratio analysis (SWARA) and Evaluation by an Area-based Method of ranking (EAMR). This research study ranked supply chain contracts by the EAMR in uncertainty environments, such as when breaking down the health care industry. This is done by providing a theoretical framework for sustainable entrepreneurship in telecommunications industry, focusing on managerial and operational practices that should be modified, in accordance to a set of CSFs identified from experts in fertility hospital. As a novel strategy, in this research, the initial factors of selecting customized Supply Chain Management (SCM) were extracted via a Delphi method along with the EAMR to symbolize a decision matrix that needs primary weights acquired through the SWARA method by hesitant fuzzy number. CSFs for achieving SCM contract selection in fertility hospitals were found to rely on a tripod based on effectiveness, transparency, and accountability that are embedded within the ambit of managerial and operational practices, such as focusing and reducing cost and based on these factors the best SCM contract must be selected. Besides, the EAMR method has more reliability than other similar MCDM methods such as TOPSIS, MOORA, VIKOR, and so on main contribution of this paper is the combination of SWARA, EAMR, and using hesitant fuzzy set in the EAMR method. Finally, the result indicates that hospitals based on these CSFs must be selected contracts.

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Vol. 12 No. 4 (2021): Independent Journal of Management & Production
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Articles
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Author Biographies

Ieva Meidute-Kavaliauskiene, Vilnius Gediminas Technical University

Vice-dean for Science at Business Management Faculty

Assoc.prof. dr.

Shahryar Ghorbani, Sakarya University

Dep.Management Information System, Phd student
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References

Ahmadi, A., Pishvaee, M. S., & Heydari, M. (2019). How group purchasing Organizations influence healthcare-product supply chains? An analytical approach. Journal of the Operational Research Society, 70(2), 280-293.

Bagheri, A., & Saadati, M. (2019). Factors Affecting the Demand for a Third Child among Iranian Women. Journal of Midwifery and Reproductive Health, 7(1), 1536-1543.

Cai, J., Hu, X., & Tadikamalla, P. R., Shang, J. (2017). Flexible contract design for VMI supply chain with service-sensitive demand: Revenue-sharing and supplier subsidy. European Journal of Operational Research, 261(1), 143-153.

Caniato, F., & Größler, A. (2015). The moderating effect of product complexity on new product development and supply chain management integration. Production Planning & Control, 26(16), 1306-1317.

Castañeda, J. A., Brennan, M., & Goentzel, J. (2019). A behavioral investigation of supply chain contracts for a newsvendor problem in a developing economy. International Journal of Production Economics, 210, 72-83.

Chen, Y., & Özer, Ö. (2019). Supply chain contracts that prevent information leakage. Management Science, 65(12), 5619-5650.

Dafny, L. (2019). Does It Matter if Your Health Insurer Is For Profit? Effects of Ownership on Premiums, Insurance Coverage, and Medical Spending. American Economic Journal: Economic Policy, 11(1), 222-65.

Dubey, V. K., Chavas, J. P., & Veeramani, D. (2018). Analytical framework for sustainable supply-chain contract management. International Journal of Production Economics, 200), 240-261. DOI: 10.1016/j.ijpe.2018.03.003.

Eckerd, S., Boyer, K. K., Qi, Y., Eckerd, A., & Hill, J. A. (2016). Supply chain psychological contract breach: An experimental study across national cultures. Journal of Supply Chain Management, 52(3), 68- 82.

Emamgholipour, S., & Agheli, L. (2019). Determining the structure of pharmaceutical industry in Iran. International Journal of Pharmaceutical and Healthcare Marketing, 13(1), 101-115.

Ernst, R., &Haar, J., (2019). Supply Chains. In Globalization, Competitiveness, and Governability (pp. 125-144). Palgrave Macmillan, Cham.

Fan, K., Li, X., Wang, L., & Wang, M. (2019). Two-stage supply chain contract coordination of solid biomass fuel involving multiple suppliers. Computers & Industrial Engineering, 135, 1167-1174.

Federgruen, A., Lall, U., & Şimşek, A. S. (2019). Supply chain analysis of contract farming. Manufacturing & Service Operations Management, 21(2), 361-378.

Ghosh, D., & Shah, J. (2015). Supply chain analysis under green sensitive consumer demand and cost sharing contract. International Journal of Production Economics, 164, 319-329.

Ha, S., & 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. DOI: 10.1016/j.eswa.2006.12.008

Höhn, M. I. (2010). Literature review on supply chain contracts. In Relational supply contracts (pp. 19- 34).. Springer, Berlin, Heidelberg.

Hu, J., Yang, Y., Zhang, X., & Chen, X. (2018). Similarity and entropy measures for hesitant fuzzy sets. International Transactions in Operational Research, 25(3), 857-886.

Heydari, J., Mahmoodi, M., & Taleizadeh, A. A. (2016).. Lead time aggregation: A three-echelon supply chain model. Transportation Research Part E: Logistics and Transportation Review, 89, 215-233.

Kaya, O., & Caner, S. (2018). Supply chain contracts for capacity decisions under symmetric and asymmetric information. Central European Journal of Operations Research, 26(1), 67-92.

Kees, M. C., Bandoni, J. A., & Moreno, M. S. (2019). An optimization model for managing the drug logistics process in a public hospital supply chain integrating physical and economic flows. Industrial & Engineering Chemistry Research, 58(9), 3767-3781.

Kouvelis, P., & Zhao, W. (2015). Supply chain contract design under financial constraints and bankruptcy costs. Management Science, 62(8), 2341-2357.

Li, S. K., & He, X. (2019). The impacts of marketization and subsidies on the treatment quality performance of the Chinese hospitals sector. China Economic Review, 54, 41-50.

Liu, X., Xu, Q., & Xu, L. X. (2015). A Literature Review on Supply Chain Contracts Selection and Coordination under Competing Multi Manufacturers. International Journal of Business and Management, 10(7), 196-217.

Meng, Q., Li, Z., Liu, H., & Chen, J. (2017). Agent-based simulation of competitive performance for supply chains based on combined contracts. International Journal of Production Economics, 193, 663- 676.

Michalski, M., Montes, J. L., & Narasimhan, R. (2019). Relational asymmetry, trust, and innovation in supply chain management: a non-linear approach. The International Journal of Logistics Management, 30(1), 303-328.

Modak, N. M., Kazemi, N., & Cárdenas-Barrón, L. E. (2019). Investigating structure of a two-echelon closed-loop supply chain using social work donation as a Corporate Social Responsibility practice. International Journal of Production Economics, 207, 19-33.

Mohammaditabar, D., Ghodsypour, S. H., & Hafezalkotob, A. (2016). A game theoretic analysis in capacity-constrained supplier-selection and cooperation by considering the total supply chain inventory costs. International Journal of Production Economics, 181, 87-97.

Murry J. R. J. W., & Hammons, J. O. (1995). Delphi: A versatile methodology for conducting qualitative research. The review of higher education, 18(4), 423-436.

Nie, T., & Du, S. (2017). Dual-fairness supply chain with quantity discount contracts. European Journal of Operational Research, 258(2), 491-500.

Peres, J., Bastien, C., Christensen, J., & Asgharpour, Z. (2019). A minimum area discrepancy method (MADM). for force displacement response correlation. Computer methods in biomechanics and biomedical engineering, 22(11), 981-996.

Pohjosenperä, T., Kekkonen, P., Pekkarinen, S., & Juga, J. (2019). Service modularity in managing healthcare logistics. The International Journal of Logistics Management, 30(1), 174-194.

Sluis, S., & De Giovanni, P. (2016). The selection of contracts in supply chains: An empirical analysis. Journal of Operations Management, 41, 1–11. DOI: 10.1016/j.jom.2015.10.002

Strand, J., Carson, R. T., Navrud, S., Ortiz-Bobea, A., & Vincent, J. R. (2017).. Using the Delphi method to value protection of the Amazon rainforest. Ecological Economics, 131, 475-484.

Tabatabaei, M. G., & Mehri, N. (2019). Gender Inequality in Unpaid Domestic Housework and Childcare Activities and Its Consequences on Childbearing Decisions: Evidence from Iran. Journal of International Women's Studies, 20(2), 26-42.

Talluri, S., & Lee, J. Y. (2010). Optimal supply contract selection. International Journal of Production Research, 48(24), 7303-7320.

Torra, V., & Narukawa, Y. (2009). On hesitant fuzzy sets and decision. In 2009 IEEE International Conference on Fuzzy Systems (pp. 1378-1382).. IEEE

Tsay, A. A., Nahmias, S., & Agrawal, N. (1999). Modeling supply chain contracts: A review. In Quantitative models for supply chain management (pp. 299-336).. Springer, Boston, MA.

Vandamme, E. J., & Mortelmans, K. (2019). A century of bacteriophage research and applications: impacts on biotechnology, health, ecology and the economy!. Journal of Chemical Technology & Biotechnology, 94(2), 323-342.

Wan, C., Yan, X., Zhang, D., Qu, Z., & Yang, Z. (2019). An advanced fuzzy Bayesian-based FMEA approach for assessing maritime supply chain risks. Transportation Research Part E: Logistics and Transportation Review, 125, 222-240.

Xu, Z., & Xia, M. (2012). Hesitant fuzzy entropy and cross‐entropy and their use in multiattribute decision‐making. International Journal of Intelligent Systems, 27(9), 799-822.

Zare, Z., Kiaetabar, R., & Laal Ahangar, M. (2019). Fertility Motivations and Its Related Factors in Women of Reproductive Age Attended Health Centers in Sabzevar, Iran. Journal of Midwifery and Reproductive Health, 7(1), 1544-1552.

Zhang, N., & Wei, G. (2013). Extension of VIKOR method for decision-making problem based on the hesitant fuzzy set. Applied Mathematical Modelling, 37(7), 4938-4947.

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