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A framework for evaluating the performance of sustainable service supply chain management under uncertainty

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  • Tseng, Ming-Lang
  • Lim, Ming K.
  • Wong, Wai-Peng
  • Chen, Yi-Chun
  • Zhan, Yuanzhu

Abstract

Developing and accessing a measure of sustainable service supply chain management (SSSCM) performance is currently a key challenge. The main contributions of this study are two-fold. First, this paper provides valuable support for SSSCM regarding the nature of network hierarchical relations with qualitative and quantitative scales. Second, this study indicates the practical implementation and enhances management effectiveness for SSSCM. The literature on SSSCM is very limited and performance measures need to have a systematic framework. The purpose of this study is to develop and evaluate the SSSCM importance based on aspects i.e., environmentally conscious design, environmental service operations design and environmentally sustainable design. This paper developed a hierarchical network for SSSCM in a closed-loop hierarchical structure. A generalized quantitative evaluation model based on the Fuzzy Delphi Method and Analytical Network Process were then used to consider both the interdependence among measures and the fuzziness of subjective measures in SSSCM. The results indicate that the top-ranking aspect to consider is that of environmental service operation design, and the top criteria is reverse logistics integrated into service package

Suggested Citation

  • Tseng, Ming-Lang & Lim, Ming K. & Wong, Wai-Peng & Chen, Yi-Chun & Zhan, Yuanzhu, 2018. "A framework for evaluating the performance of sustainable service supply chain management under uncertainty," International Journal of Production Economics, Elsevier, vol. 195(C), pages 359-372.
    • Handle: RePEc:eee:proeco:v:195:y:2018:i:c:p:359-372
    DOI: 10.1016/j.ijpe.2016.09.002
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    Cited by:

    1. Elisabete Nogueira & Sofia Gomes & João M. Lopes, 2023. "Triple Bottom Line, Sustainability, and Economic Development: What Binds Them Together? A Bibliometric Approach," Sustainability, MDPI, vol. 15(8), pages 1-17, April.
    2. Mauro Lizot & Pedro Paulo Andrade Júnior & Flavio Trojan & Carolina Sales Magacho & Shirley Suellen Thesari & Andreia Santos Goffi, 2019. "Analysis of Evaluation Methods of Sustainable Supply Chain Management in Production Engineering Journals with High Impact," Sustainability, MDPI, vol. 12(1), pages 1-20, December.
    3. Yang, Guangyong & Ji, Guojun & Tan, Kim Hua, 2020. "Impact of regulatory intervention and consumer environmental concern on product introduction," International Journal of Production Economics, Elsevier, vol. 230(C).
    4. Xia, Yu & Tan, Dan & Wang, Bolin, 2021. "Use of a product service system in a competing remanufacturing market," Omega, Elsevier, vol. 102(C).
    5. Song, Malin & Wang, Jianlin, 2018. "Environmental efficiency evaluation of thermal power generation in China based on a slack-based endogenous directional distance function model," Energy, Elsevier, vol. 161(C), pages 325-336.
    6. Vimal K.E.K & Simon Peter Nadeem & Mahadharsan Ravichandran & Manavalan Ethirajan & Jayakrishna Kandasamy, 2022. "Resilience strategies to recover from the cascading ripple effect in a copper supply chain through project management," Operations Management Research, Springer, vol. 15(1), pages 440-460, June.
    7. Wong, Wai Peng & Sinnandavar, Chandra Mohan & Soh, Keng-Lin, 2021. "The relationship between supply environment, supply chain integration and operational performance: The role of business process in curbing opportunistic behaviour," International Journal of Production Economics, Elsevier, vol. 232(C).
    8. Lin, Yong & Chen, Anlan & Yin, Yanhai & Li, Qing & Zhu, Qiaoni & Luo, Jing, 2021. "A framework for sustainable management of the platform service supply chain: An empirical study of the logistics sector in China," International Journal of Production Economics, Elsevier, vol. 235(C).
    9. Tseng, Ming-Lang & Wu, Kuo-Jui & Chiu, Anthony SF. & Lim, Ming K. & Tan, Kimhua, 2018. "Service innovation in sustainable product service systems: Improving performance under linguistic preferences," International Journal of Production Economics, Elsevier, vol. 203(C), pages 414-425.
    10. Antonio Mileti & Daniele Arduini & Gordon Watson & Adriana Giangrande, 2022. "Blockchain Traceability in Trading Biomasses Obtained with an Integrated Multi-Trophic Aquaculture," Sustainability, MDPI, vol. 15(1), pages 1-14, December.
    11. Ehsan Pourjavad & Arash Shahin, 2018. "Hybrid performance evaluation of sustainable service and manufacturing supply chain management: An integrated approach of fuzzy dematel and fuzzy inference system," Intelligent Systems in Accounting, Finance and Management, John Wiley & Sons, Ltd., vol. 25(3), pages 134-147, July.
    12. Yang, Yefei & Zhang, Xiaofei & Lee, Peter K.C., 2019. "Improving the effectiveness of online healthcare platforms: An empirical study with multi-period patient-doctor consultation data," International Journal of Production Economics, Elsevier, vol. 207(C), pages 70-80.
    13. Ming-Lang Tseng & Tat-Dat Bui & Ming K. Lim & Stephen Lewi, 2021. "A Cause and Effect Model for Digital Sustainable Supply Chain Competitiveness under Uncertainties: Enhancing Digital Platform," Sustainability, MDPI, vol. 13(18), pages 1-19, September.
    14. Shoukohyar, Sajjad & Seddigh, Mohammad Reza, 2020. "Uncovering the dark and bright sides of implementing collaborative forecasting throughout sustainable supply chains: An exploratory approach," Technological Forecasting and Social Change, Elsevier, vol. 158(C).
    15. Dong-Her Shih & Chia-Ming Lu & Chia-Hao Lee & Yuh-Jiuan M. Parng & Kuo-Jui Wu & Ming-Lang Tseng, 2018. "A Strategic Knowledge Management Approach to Circular Agribusiness," Sustainability, MDPI, vol. 10(7), pages 1-20, July.
    16. Muhammad Ridwan Andi Purnomo & Adhe Rizky Anugerah & Bella Taradipa Dewipramesti, 2020. "Sustainable Supply Chain Management Framework in a Higher Education Laboratory using Intuitionistic Fuzzy Cognitive Map," Post-Print cirad-02907401, HAL.
    17. Mei, Qihuang & Li, Jianbin & Ursavas, Evrim & Zhu, Stuart X. & Luo, Xiaomeng, 2021. "Freight transportation planning in platform service supply chain considering carbon emissions," International Journal of Production Economics, Elsevier, vol. 240(C).

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