Exploring the decisive barriers to achieve circular economy: Strategies for the textile innovation in Taiwan

Huang, Yi‐Fen; Azevedo, Susana Garrido; Lin, Tung-Jung; Cheng, Chiung-Shu; Lin, Chii-Jeng

doi:10.1016/j.spc.2021.03.007

Cited by 69 publications

(42 citation statements)

References 46 publications

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“… Portrays an intricate system in a simplified way Fails to handle imprecise and vague information usually exists in real cases Identifies the structure of the influential aspects in a system typically in a hierarchical way, i.e. digraph Cannot answer “why” aspects which typically helps in a theory building Evaluate the driving and dependence power of aspects Used a Consensus vote method to aggregate the experts’ judgments, which itself comprises drawbacks (Huang et al, 2021 ; Jena et al, 2017 ; Sindhwani & Malhotra, 2017 ; Sushil, 2012 ) Explain “what” and “how” characteristics of a system (Kamble et al, 2018 ; Li et al, 2019 ; Majumdar & Sinha, 2019 ; Sivaprakasam et al, 2015 ) Total ISM (TISM) Includes all the benefits of ISM Uses binary scale to measure the influence Attempts to answer the “why” phenomenon (Huang et al, 2021 ; Jena et al, 2017 ; Sindhwani & Malhotra, 2017 ; Sushil, 2018 ) Fails to compute the level of influence Fails to handle imprecise and vague information usually exists in real cases Uses consensus vote method to aggregate the experts’ judgments (Huang et al, 2021 ; Jena et al, 2017 ) Fuzzy ISM Includes all the benefits of classical ISM We have identified the following drawbacks in Fuzzy ISM Effectively Handles the imprecise or vague nature through one-grade membership degree Aggregates the experts’ opinions using the consensus vote method Describe the preference judgment values of the decision-maker efficiently Unable to incorporate the membership degrees, namely—‘truth, indeterminacy, and falsity’ degrees Computes the level of influence (Lamba & Singh, 2018 ; Sindhwani et al, 2018 ; Srivastava & Dashora, 2021 ...…”

Section: Methodsmentioning

confidence: 99%

Examining the barriers to operationalization of humanitarian supply chains: lessons learned from COVID-19 crisis

et al. 2022

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Humanitarian supply chains (HSC) have vital significance in mitigating different disruptive supply chain risks caused due to natural or man-made activities such as tsunami, earthquakes, flooding, warfare, or the recent COVID-19 pandemic. Each kind of disaster poses a unique set of challenges to the operationalization of HSC. This study attempts to determine the critical barriers to the operationalization of HSC in India during the COVID-19 pandemic. Initially, we determined and validated 10 critical barriers to HSC operationalization through a Delphi method. Further, we analyzed the barriers by computing the driving and dependence power of each barrier to determine the most critical ones. To do so, we coined a distinct form of interpretive structural modeling (ISM) by amalgamating it with the neutrosophic approach, i.e. Neutrosophic ISM. The findings indicate, “lack of Government subsidies and support, lack of skilled and experienced rescuers, and lack of technology usage” are the most critical barriers that influence the streamline operations of HSC during the COVID-19 outbreak, unlike other disruptions. This is the first-of-its-kind research work that has identified and analyzed the critical barriers to HSC operationalization during COVID-19 in the Indian context. The results and recommendations of the study can aid policymakers and HSC professionals in formulating suitable strategies for successful HSC operations. Supplementary Information The online version contains supplementary material available at 10.1007/s10479-022-04752-x.

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Section: Methodsmentioning

confidence: 99%

Examining the barriers to operationalization of humanitarian supply chains: lessons learned from COVID-19 crisis

et al. 2022

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“… Jinru et al (2021) have proposed a classification of environmentally sustainable operations that includes (a) design of the environment, (b) cleaner production, and (c) green supply chain management (GSCM). For environmentally friendly operations, Huang et al (2021) recommended implementing the 3Rs (reduce, reuse, and recycle). As a result, the connections between environmentally sustainable operations and Industry 4.0 are important, given the role that technology plays in making environmentally sustainable operations excellence judgments.…”

Section: Theoretical Framework and Hypothesismentioning

confidence: 99%

Modeling and Analyzing the Impact of the Internet of Things-Based Industry 4.0 on Circular Economy Practices for Sustainable Development: Evidence From the Food Processing Industry of China

Sun

Wang

2022

Front. Psychol.

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The Industry 4.0 concept proposes that new cutting-edge technologies, such as the Internet of Things (IoT), will grow. The acceptance of IoT in the circular economy (CE) is still in its infancy, despite its enormous potential. In the face of growing environmental affairs, IoT based Industry 4.0 technologies are altering CE practices and existing business models, according to the World Economic Forum. This research investigates the function of IoT-based Industry 4.0 in circular CE practices, as well as their impact on economic and environmental performance, which in turn influences overall organizational performance. China-based enterprises provide information for the study, which includes data from 300 companies. Utilizing a structural equation modeling framework known as partial least squares structural equation modeling (PLS-SEM). The major findings are presented in the study: (I) the IoT significantly improves the activities of the CE; (II) the IoT significantly improves the practices of the CE; and (III) the IoT meaningfully advances the practices of CE (green manufacturing, circular design, remanufacturing, and recycling). Moreover, the findings shows that environmentally friendly business practices help enhance environmental performance of firm, while also stimulating their economic performance; and improved environmental performance has a significant positive influence on firm performance. This research lays the groundwork for contributing nations/companies to attain economic and long-term sustainability goals at the same time by incorporating IoT-based Industry 4.0 technology into CE practices.

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“…There are many challenges when transitioning the textile industry to a circular economy: (i) the market for recycled textile products is still limited; (ii) there is a lack profitable circular business models on the market; (iii) there are challenges in having supply chain partners work together to create innovations; and (iv) the quality of recycling of textiles of a relatively low grade is pricey in the short-term, with low economic benefits [50]. There are some fundamental strategies for recycling business models (RMBs); for instance, recycling process, partnership, and scale up the business models (BMs).…”

Section: Circular Economy Of Textile Recyclingmentioning

confidence: 99%

Possibility Routes for Textile Recycling Technology

et al. 2021

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The fashion industry contributes to a significant environmental issue due to the increasing production and needs of the industry. The proactive efforts toward developing a more sustainable process via textile recycling has become the preferable solution. This urgent and important need to develop cheap and efficient recycling methods for textile waste has led to the research community’s development of various recycling methods. The textile waste recycling process can be categorized into chemical and mechanical recycling methods. This paper provides an overview of the state of the art regarding different types of textile recycling technologies along with their current challenges and limitations. The critical parameters determining recycling performance are summarized and discussed and focus on the current challenges in mechanical and chemical recycling (pyrolysis, enzymatic hydrolysis, hydrothermal, ammonolysis, and glycolysis). Textile waste has been demonstrated to be re-spun into yarn (re-woven or knitted) by spinning carded yarn and mixed shoddy through mechanical recycling. On the other hand, it is difficult to recycle some textiles by means of enzymatic hydrolysis; high product yield has been shown under mild temperatures. Furthermore, the emergence of existing technology such as the internet of things (IoT) being implemented to enable efficient textile waste sorting and identification is also discussed. Moreover, we provide an outlook as to upcoming technological developments that will contribute to facilitating the circular economy, allowing for a more sustainable textile recycling process.

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Exploring the decisive barriers to achieve circular economy: Strategies for the textile innovation in Taiwan

Cited by 69 publications

References 46 publications

Examining the barriers to operationalization of humanitarian supply chains: lessons learned from COVID-19 crisis

Examining the barriers to operationalization of humanitarian supply chains: lessons learned from COVID-19 crisis

Modeling and Analyzing the Impact of the Internet of Things-Based Industry 4.0 on Circular Economy Practices for Sustainable Development: Evidence From the Food Processing Industry of China

Possibility Routes for Textile Recycling Technology

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