Alleviating the Impact of the Barriers to Circular Economy Adoption Through Blockchain: An Investigation Using an Integrated MCDM-based QFD With Hesitant Fuzzy Linguistic Term Sets. (March 2022)
- Record Type:
- Journal Article
- Title:
- Alleviating the Impact of the Barriers to Circular Economy Adoption Through Blockchain: An Investigation Using an Integrated MCDM-based QFD With Hesitant Fuzzy Linguistic Term Sets. (March 2022)
- Main Title:
- Alleviating the Impact of the Barriers to Circular Economy Adoption Through Blockchain: An Investigation Using an Integrated MCDM-based QFD With Hesitant Fuzzy Linguistic Term Sets
- Authors:
- Erol, Ismail
Murat Ar, Ilker
Peker, Iskender
Searcy, Cory - Abstract:
- Highlights: This research demonstrates what CE barriers can be addressed by blockchain. An integrated MCDM-based QFD with HFLTS is proposed. Lack of visibility and traceability is the most important CE adoption barrier. Supply chain traceability management is the most significant blockchain function. The findings of this study can guide through blockchain-based CR implementations. Abstract: Despite its clear potential to contribute to sustainability, there are many challenges to adopting circular economy (CE). These barriers impede the implementation of CE; however, research to address them is ongoing. For example, novel technologies have become a key enabler for easing the impact of CE adoption barriers. Blockchain is one disruptive technology that has the potential to address some of those barriers, notably technological, organizational, and ecological. Blockchain is particularly well suited to help address supply chain-oriented barriers to CE adoption. However, a review of the literature shows that while there are a limited number of conceptual studies that address the capabilities of blockchain to alleviate the impact of the barriers to CE, no previous study has focused on this vital subject using a decision tool based on expert data. To this end, this paper proposes an integrated decision framework involving Multi-Criteria Decision-Making (MCDM)-based Quality Function Deployment (QFD) method with Hesitant Fuzzy Linguistic Term Sets (HFLTS) to investigate the trueHighlights: This research demonstrates what CE barriers can be addressed by blockchain. An integrated MCDM-based QFD with HFLTS is proposed. Lack of visibility and traceability is the most important CE adoption barrier. Supply chain traceability management is the most significant blockchain function. The findings of this study can guide through blockchain-based CR implementations. Abstract: Despite its clear potential to contribute to sustainability, there are many challenges to adopting circular economy (CE). These barriers impede the implementation of CE; however, research to address them is ongoing. For example, novel technologies have become a key enabler for easing the impact of CE adoption barriers. Blockchain is one disruptive technology that has the potential to address some of those barriers, notably technological, organizational, and ecological. Blockchain is particularly well suited to help address supply chain-oriented barriers to CE adoption. However, a review of the literature shows that while there are a limited number of conceptual studies that address the capabilities of blockchain to alleviate the impact of the barriers to CE, no previous study has focused on this vital subject using a decision tool based on expert data. To this end, this paper proposes an integrated decision framework involving Multi-Criteria Decision-Making (MCDM)-based Quality Function Deployment (QFD) method with Hesitant Fuzzy Linguistic Term Sets (HFLTS) to investigate the true potential of blockchain to address the CE adoption barriers. Our findings indicate that enhanced supply chain traceability management, improved collaboration and coordination in supply chain ecosystems, building higher levels of trust in supply chain ecosystems, and enhanced business models are the most significant functions of blockchain to help overcome the CE adoption barriers. … (more)
- Is Part Of:
- Computers & industrial engineering. Volume 165(2022)
- Journal:
- Computers & industrial engineering
- Issue:
- Volume 165(2022)
- Issue Display:
- Volume 165, Issue 2022 (2022)
- Year:
- 2022
- Volume:
- 165
- Issue:
- 2022
- Issue Sort Value:
- 2022-0165-2022-0000
- Page Start:
- Page End:
- Publication Date:
- 2022-03
- Subjects:
- Circular Economy -- Blockchain -- Multi-Criteria Decision Making -- Hesitant Fuzzy Linguistic Term Sets -- Quality Function Deployment
Engineering -- Data processing -- Periodicals
Industrial engineering -- Periodicals
620.00285 - Journal URLs:
- http://www.sciencedirect.com/science/journal/03608352 ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.cie.2022.107962 ↗
- Languages:
- English
- ISSNs:
- 0360-8352
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 3394.713000
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 20662.xml