Interrelationship among CE Adoption Obstacles of Supply Chain in the Textile Sector: Based on the DEMATEL-ISM Approach

Abstract

Globally, in the innovative and distributional circular textiles, the textile sector of Taiwan has a prominent place. Within the textile industry, the circular economy (CE) obstacles adopted have been studied by several scholars. However, the interrelationships among these obstacles are easily ignored. The present study aimed to identify CE adoption obstacles from the supply chain (SC) perspective in Taiwan’s textile sector by analyzing the interrelationships among the CE adoption obstacles and establishing a hierarchical network and the causal inter relationships of the identified obstacles. Furthermore, the CE adoption obstacles and interrelationships were analyzed using interpretative structural modeling and the decision-making trial and evaluation laboratory (ISM-DEMATEL). The common results of the two methods demonstrated that two obstacles, consumers not having sufficient knowledge and awareness of reuse/recycling (B1) and a lack of successful business models and frameworks for CE implementation (B3), were the significant obstacles influencing adopting CE in the textile supply chain, while the obstacle making the most efficient way (B12) of the right decision to implement CE was minor. Thus, the government should formulate friendly laws and regulations that encourage CE adoption, while textile firms should monitor and control recycling and efficiency approaches handling the CE adoption problems. Our results could offer first-hand knowledge to textile firms or managers to effetely achieve CE implementation objectives.

Testing a Recent DEMATEL-Based Proposal to Simplify the Use of ANP

“…The procedure to calculate the level of interdependence of the factors considered in the DEMATEL method is the following [5,15]:…”

“…The Decision-Making Trial and Evaluation Laboratory (DEMATEL) method proposed by Fontela and Gabus [5] is another technique used in multi-attribute decision-making that builds a network with the components of the problem. It differs from the ANP in that the relationships are causally dependent, that is, cause and effect relationships are based on surveys to determine the interdependence of direct and indirect relationships or influences between components or variables/attributes and the strength of those relationships.…”

Building risk mitigation strategies for circularity adoption in Indian textile supply chains

“…Furthermore, Grundmann et al ( 2013 ) researched the causal links between different barriers in a CSC; redesigning and repurposing was the most challenging obstacle in remanufacturing the goods. According to a study by Chen and Lin ( 2021 ) on the risks of CSC adoption, cultural difficulties, including a lack of consumer interaction, understanding, and uncertain business culture, are the most critical barriers for representatives and textile business specialists implementing CSC.…”

“…Deprived of past data, a productive supply chain is intolerable for apparent coming demand and costs Ambika and Srilekha ( 2021 ), Lahane and Kant ( 2021 ) 5. Quality risks Customer satisfaction Consumer happiness is the foundation of most successful businesses, yet customer gratification is predicated on the “value of money paid over a quality product.” When the eminence value falls, the risk price rises Chen and Lin ( 2021 ), Olatubosun et al ( 2021 ) Product feasibility Product recital normalises timeline making, product eminence, and productivity in the circularity; any fluctuations in performance are principal for financial and business risk Gigli et al ( 2019 ), Landi et al ( 2018 ), Lahane et al ( 2023 ) Product service life CSC also should emphasise excellent products. Low eminence products are expected to necessitate additional repair, reformation, and advancement: bad amenity generates life and eminence risks Ambika and Srilekha ( 2021 ), Lahane and Kant ( 2021 ), Wang et al ( 2022 ) Resale value From a commercial standpoint, reselling rates are well-thought-out based on product recital and quality.…”

Evaluating the Intertwined Relationships of the Drivers for University Technology Transfer

“…For example, when contacting and cooperating with an industry, professors usually have problems with bargaining and dealing with enterprises [87][88][89]. To adapt to rapid technology development and the shorter renewal cycle of knowledge and technology, professors need to increase their knowledge and capability through continuous learning and be able to constantly renew the knowledge structure and overcome various challenges [90][91][92].…”