Mapping the Interactive Model of Relationships between Blockchain-Related Variables in the Green Supply Chain: DEMATEL-ISM Approach

Document Type : Research Paper

Authors

1 Ph.D. Candidate, Department of Industrial Management, Faculty of Administrative Sciences and Economics, University of Isfahan, Isfahan, Iran.

2 Associate Prof., Department of Management, Faculty of Administrative Sciences and Economics, University of Isfahan, Isfahan, Iran.

3 Prof., Department of Management, Faculty of Administrative Sciences and Economics, University of Isfahan, Isfahan, Iran.

Abstract

Objective: Numerous variables are involved in green supply chain management and investigating any intervening variable can influence a diverse set of others. Blockchain, as an emerging technology of the fourth generation of the industry, comes with a variety of distinctive characteristics. The analysis of the integration between blockchain and green supply chain management will be highly intricate. Therefore, it is essential to establish a model to comprehend it effectively.
Methods: This study was carried out in two phases. In the first phase, the required information was collected, extracted, analyzed, and combined through a systematic review with a focus on the key questions. After identifying the primary existing sources, based on the entry conditions, some items were removed according to the determined conditions. Finally, 18 articles were thoroughly reviewed, and the variables were extracted. In the second phase, the validation, refinement, and examination of the relationship among variables were discussed through questionnaires. The combined method of DEMATEL and Interpretive Structural Modeling (ISM) were used.
Results: Variables from the green supply chain, likely to be influenced by blockchain were extracted, refined, and modeled in 10 levels, ranging from the most influential to the least influential ones. Environment-related variables, along with business viability, are the most influential.
Conclusion: According to the achieved model and the degree of influence and impact of the variables, the main driver for moving towards green practices and utilizing blockchain include "the need to obtain environmental certification (government pressure)," "buying green products (inclination)," and "giving importance to the social responsibility of the green company." The outcome also depends on "business continuity" and environmental variables. An important aspect regarding the relationship between blockchain and the green supply chain is the location of the variables influenced by blockchain in the interpretive structural model. These variables were placed in the middle levels of the model, indicating that before implementing blockchain technology, it is crucial to assess the influencing variables and determine their value. The assessment can determine whether the establishment or non-establishment of blockchain technology is justified. If these variables indicate the need for changes in the intermediate variables of the model, blockchain technology can be used as a tool or enabler in the supply chain to drive the desired changes based on the specified influencing variables. Ultimately, as the intermediate variables in the model change, the dependent or influencing variables in the model can also be affected.

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References

 
Ahi, P., & Searcy, C. (2013). A comparative literature analysis of definitions for green and sustainable supply chain management. Journal of cleaner production, 52, 329-341.
Alinezhad, A., & Khalili, J. (2019). DEMATEL Method. In New Methods and Applications in Multiple Attribute Decision Making (MADM) (pp. 103-108): Springer.
Hosseini Dehshiri, S. J., Amiri, M., Olfat, L., & Pishvaee, M. S. (2022). A Novel Robust Fuzzy Programming Approach for Closed-loop Supply Chain Network Design. Industrial Management Journal, 14(3), 421-457. doi: 10.22059/imj.2022.330096.1007865
(in Persian)
Rostamizadeh, K., Doroudi, H., & Mohammadi, A. (2022). Presenting a Model for Identifying the Factors and Components of Sustainable Development in the Iron and Steel Industry by Fuzzy DEMATEL and Grounded Data Techniques. Industrial Management Journal, 13(3), 514-536. doi: 10.22059/imj.2021.330333.1007866 (in Persian)
Sharifi, S. M., Farhangi, A. A., Heidari, A., Agili, S. V., & Mirzaei Rabor, F. (2020). Designing a Competency Model for Creative Industry Leaders using Discrete Consensus Support Methods and Interpretive Structural Modeling. Industrial Management Journal, 12(2), 299-318. doi: 10.22059/imj.2020.307585.1007763 (in Persian)
Mohammadi, T., Sajadi, S. M., Najafi, S. E., & Taghizadeh Yazdi, M. (2022). Optimizing Smart Supply Chain with Vendor Managed Inventory through the Internet of Things. Industrial Management Journal, 14(3), 458-483. (in Persian)
Mousavi, M., Jamali, G., & Ghorbanpour, A. (2021). A Green-resilient Supply Chain Network Optimization Model in Cement Industries. Industrial Management Journal, 13(2), 222-245. doi: 10.22059/imj.2021.323226.1007844 (in Persian)
Momeni, M., & Zereshki, N. (2021). Modeling of Closed-Loop Supply Chains by Utilizing Scenario-Based Approaches in Facing Uncertainty in Quality and Quantity of Returns. Industrial Management Journal, 13(1), 105-130. (in Persian)
Asif, M. S., & Gill, H. (2022). Blockchain technology and green supply chain management (GSCM)–improving environmental and energy performance in multi-echelon supply chains. Paper presented at the IOP Conference Series: Earth and Environmental Science.
Beard, C., & Rees, S. (2000). Green teams and the management of environmental change in a UK county council. Environmental Management and Health, 11(125), 27-38.
Chen, I. J., & Paulraj, A. (2004). Towards a theory of supply chain management: the constructs and measurements. Journal of operations management, 22(2), 119-150.
Choi, T.-M. (2019). Blockchain-technology-supported platforms for diamond authentication and certification in luxury supply chains. Transportation Research Part E: Logistics and Transportation Review, 128(6), 17-29.
Choi, T.M., & Luo, S. (2019). Data quality challenges for sustainable fashion supply chain operations in emerging markets: Roles of blockchain, government sponsors and environment taxes. Transportation Research Part E: Logistics and Transportation Review, 131, 139-152.
Choi, T.-M., Wen, X., Sun, X., & Chung, S.-H. (2019). The mean-variance approach for global supply chain risk analysis with air logistics in the blockchain technology era. Transportation Research Part E: Logistics and Transportation Review, 127(10), 178-191.
Cole, R., Stevenson, M., & Aitken, J. (2019). Blockchain technology: implications for operations and supply chain management. Supply chain management: An international journal, 24(5), 469-483.
Elhidaoui, S., Benhida, K., El Fezazi, S., Kota, S., & Lamalem, A. (2022). Critical Success Factors of Blockchain adoption inGreen Supply Chain Management: Contribution through an Interpretive Structural Model. Production & Manufacturing Research, 10(1), 1-23.
Faisal, M. N. (2010). Analysing the barriers to corporate social responsibility in supply chains: an interpretive structural modelling approach. International Journal of Logistics: Research and Applications, 13(3), 179-195.
Fu, Y., & Zhu, J. (2019). Big Production Enterprise Supply Chain Endogenous Risk Management Based on Blockchain. IEEE Access, 7(6), 15310-15319.
Ghahremani-Nahr, J., Aliahmadi, A., & Nozari, H. (2022). An IoT-based sustainable supply chain framework and blockchain. International Journal of Innovation in Engineering, 2(1), 12-21.
Hald, K. S., & Kinra, A. (2019). How the blockchain enables and constrains supply chain performance. International journal of physical distribution & logistics management, 49(4), 376-397.
Jahanyan, S., Daftarian, A., (2019). Combination of DEMATEL technique with interpretative structural modeling in the form of a sequential algorithm. (in Persian)
Kamble, S., Gunasekaran, A., & Arha, H. (2019). Understanding the Blockchain technology adoption in supply chains-Indian context. International Journal of Production Research, 57(23), 2009-2033.
Khan, S. A., Mubarik, M. S., Kusi‐Sarpong, S., Gupta, H., Zaman, S. I., & Mubarik, M. (2022). Blockchain technologies as enablers of supply chain mapping for sustainable supply chains. Business strategy and the environment.
Koplin, J., Seuring, S., & Mesterharm, M. (2007). Incorporating sustainability into supply management in the automotive industry–the case of the Volkswagen AG. Journal of cleaner production, 15(477), 1053-1062.
Kshetri, N. (2018). Blockchain’s roles in meeting key supply chain management objectives. International Journal of Information Management, 39(199), 80-89.
Large, R. O., & Thomsen, C. G. (2011). Drivers of green supply management performance: Evidence from Germany. Journal of Purchasing and Supply Management, 17(275), 176-184.
Mangla, S. K., Kazançoğlu, Y., Yıldızbaşı, A., Öztürk, C., & Çalık, A. (2022). A conceptual framework for blockchain‐based sustainable supply chain and evaluating implementation barriers: A case of the tea supply chain. Business strategy and the environment, 31(8).
Min, H. (2019). Blockchain technology for enhancing supply chain resilience. Business Horizons, 62(30), 35-45.
Montecchi, M., Plangger, K., & Etter, M. (2019). It’s real, trust me! Establishing supply chain provenance using blockchain. Business Horizons, 62(14), 283-293.
Narayanan, A., Bonneau, J., Felten, E., Miller, A., & Goldfeder, S. (2016). Bitcoin and cryptocurrency technologies: a comprehensive introduction: Princeton University Press.
Queiroz, M. M., Telles, R., & Bonilla, S. H. (2019). Blockchain and supply chain management integration: A systematic review of the literature. Supply chain management: An international journal, 25(2), 241-254.
Saberi, S., Kouhizadeh, M., Sarkis, J., & Shen, L. (2019). Blockchain technology and its relationships to sustainable supply chain management. International Journal of Production Research, 57(89), 2117-2135.
Sarkis, J. (2006). Greening the supply chain: Springer.
Srivastava, S. K. (2007). Green supply‐chain management: a state‐of‐the‐art literature review. International Journal of Management Reviews, 9(1), 53 - 80.
Tönnissen, S., & Teuteberg, F. (2019). Analysing the impact of blockchain-technology for operations and supply chain management: An explanatory model drawn from multiple case studies. International Journal of Information Management, 52(C).
Toyoda, K., Mathiopoulos, P. T., Sasase, I., & Ohtsuki, T. (2017). A novel blockchain-based product ownership management system (POMS) for anti-counterfeits in the post supply chain. IEEE Access, 5(98), 17465-17477.
Treiblmaier, H. (2018). The impact of the blockchain on the supply chain: a theory-based research framework and a call for action. Supply chain management: An international journal, 23(28), 545-559.
Wang, Y., Han, J. H., & Beynon-Davies, P. (2019). Understanding blockchain technology for future supply chains: A systematic literature review and research agenda. Supply chain management: An international journal, 24(19), 62-84.
Wang, Y., Singgih, M., Wang, J., & Rit, M. (2019). Making sense of blockchain technology: How will it transform supply chains? International Journal of Production Economics, 211(13), 221-236.
Yadav, S., & Singh, S. P. (2020). Blockchain critical success factors for sustainable supply chain. Resources, Conservation and Recycling, 152(2), 104505.
Zhu, Q., Sarkis, J., & Lai, K.-h. (2007). Green supply chain management: pressures, practices and performance within the Chinese automobile industry. Journal of cleaner production, 15(991), 1041-1052.
Industrial Management Journal
Volume 15, Issue 2
2023
Pages 244-271

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