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International Journal of Logistics

Research and Applications

Circular Supply Chain Practices: Challenges, Innovation and Development

Previous studies strived to address environmental issues with balancing economy and society aspects through the employment of concept of sustainable supply chain management (SSCM). Although these studies attempted to enhance the understanding and overcome the gaps between practices and theories of SSCM, the arguments remained in relation to SSCM addressing the uncertainties in achieving Circular Economy (Wu et al., 2018; Tsai et al. 2021). Thus, the concept of circular supply chain practices (CSCP) is proposed; it integrates the philosophy of Circular Economy into supply chain management, offering a new and compelling perspective to the supply chain sustainability domain (Farooque et al., 2018). Despite the discussions of CSCP are increasing, current studies still predominantly focus on exploring the research direction and trend from the literature review and framework development (Jain et al., 2018; Lahane et al., 2020). Thus, this Special Issue (SI) would like to encourage relevant studies to explore the transitions, dynamic, methods, barriers and so on in addressing the uncertainties for bridging the practices and theories of CSCP.

A significant insight on how to present a framework with taking the data-driven approach into account as well as adopting the empirical study in verifying the theory are both welcome. This SI also encourages the research in employing the methods of multi-criteria decision making, neural network integration, machine learning and so on to address the issue of CSCP. We do believe that complexity relations exist among CSCP discussions, and these relations need a hierarchical structure as a guideline to lead the decision-makers to make the improvement. We also consider case studies and empirical statistical analysis as effective research tools in addressing the issues. The novel hybrid methods, and interdisciplinary discussions addressing the challenges, innovation and development among CSCP are particularly welcome.

Topics of interest are listed as below, but are not limited to:

  • Drivers, enablers, barriers, challenges and related issues of CSCP

  • An empirical study in exploring the specific theory among CSCP development for enhancing the understandings

  • Decision support framework for enhancing CSCP innovation

  • Multi-dimensional considerations in addressing the challenges for CSCP

  • The data-driven, multi-criteria decision making, neural network integration, machine learning approach in identifying the key issues of CSCP

  • Hybrid or novel approaches for leading the improvement of CSCP

  • Addressing how CSCP enable to reach Circular Economy effectiveness

 

References

  1. Chien, CF., Hong, T. Guo, H.Z. (2017). A Conceptual Framework for “Industry 3.5” to Empower Intelligent Manufacturing and Case Studies. Procedia manufacuing 11, 2009-2017

  2. Coenen, J., van Der Heijden, R. E., & van Riel, A. C. (2018). Understanding approaches to complexity and uncertainty in closed-loop supply chain management: Past findings and future directions. Journal of Cleaner Production, 201, 1-13.

  3. Farooque, M., Zhang, A., Thürer, M., Qu, T., & Huisingh, D. (2019). Circular supply chain management: A definition and structured literature review. Journal of Cleaner Production, 228, 882-900.

  4. Jain, S., Jain, N. K., & Metri, B. (2018). Strategic framework towards measuring a circular supply chain management. Benchmarking: An International Journal.

  5. Lahane, S., Kant, R., & Shankar, R. (2020). Circular supply chain management: A state-of-art review and future opportunities. Journal of Cleaner Production, 258, 120859.

  6. Tsai, F. M., Bui, T. D., Tseng, M. L., Ali, M. H., Lim, M. K., & Chiu, A. S. (2021). Sustainable supply chain management trends in world regions: A data-driven analysis. Resources, Conservation and Recycling, 167, 105421.

  7. Tseng, M. L., Lin, R. J., Lin, Y. H., Chen, R. H., & Tan, K. (2014). Close-loop or open hierarchical structures in green supply chain management under uncertainty. Expert Systems with Applications, 41(7), 3250-3260.

  8. Wu, K. J., Zhu, Y., Tseng, M. L., Lim, M. K., & Xue, B. (2018). Developing a hierarchical structure of the co-benefits of the triple bottom line under uncertainty. Journal of cleaner production, 195, 908-918.

 

Manuscript submission

Articles must be written in high quality English. Please follow the “Guide for Authors” of International Journal of Logistics Research and Applications (IJLRA) to prepare your manuscripts. Please submit your manuscripts via the Taylor & Francis submission portal and not that your manuscript is for the "Circular Supply Chain Practices” when prompted.
 

Authors should note that all articles submitted should be original and should not have been submitted anywhere else for consideration for publication. All articles will first be evaluated by the Editor-in-Chief and then passed on to the special issue editors for another screening to ensure suitability within the scope of both the special issue and the IJLRA. After the first two screenings, suitable papers will go through a blind, double-peer review process according to the standards of the IJLRA.

 

Publication Schedule:

Manuscript due: 1 December 2021
Review duration: Within 6 weeks from submission
Final manuscripts decision: 31 March 2022

 

Guest Editors:

Ming-Lang Tseng

Chair Professor, Institute of Innovation and Circular Economy, Asia University, Taichung, Taiwan

Email: tsengminglang@gmail.com

 

Kuo-Jui Wu

Associate Professor, School of Management, National Taiwan University of Science and Technology, Taipei 106335, Taiwan

Email: garykjwu@gmail.com

 

Chen-Fu Chien

Chair Professor, Department of Industrial Engineering and Engineering Management, Tsinghua University, Taiwan

Email: cfchien@mx.nthu.edu.tw 

 

Mohd HelmiAli

Associate Professor, Faculty of Economics and Management, Universiti Kebangsaan Malaysia, Malaysia

Email: mohdhelmiali@ukm.edu.my

 

Sidai Guo

Executive director, Sichuan circular economy research center, Southwest University of science and technology, Sichuan, China

Email: guosidai@swust.edu.cn; guosidai@126.com