Title |
A circular waste bioeconomy development model in the Ecuadorian fishery industry: the impact of government strategy on supply chain integration and smart operations |
ID_Doc |
29990 |
Authors |
Negash, YT; Sarmiento, LSC; Tseng, SW; Lim, MK; Tseng, ML |
Title |
A circular waste bioeconomy development model in the Ecuadorian fishery industry: the impact of government strategy on supply chain integration and smart operations |
Year |
2023 |
Published |
Environmental Science And Pollution Research, 30.0, 43 |
DOI |
10.1007/s11356-023-29333-8 |
Abstract |
This study develops a set of measures to address the interrelationship among circular waste-based bioeconomy (CWBE) attributes, including those of government strategy, digital collaboration, supply chain integration, smart operations, and a green supply chain, to build a circular bioeconomy that feeds fish waste back into the economy. CWBE development is a potential solution to the problem of waste reuse in the fish supply chain; however, this potential remains untapped, and prior studies have failed to provide the criteria to guide its practices. Such an analytical framework requires qualitative assessment, which is subject to uncertainty due to the linguistic preferences of decision makers. Hence, this study adopts the fuzzy Delphi method to obtain a valid set of attributes. A fuzzy decision-making trial and evaluation was applied to address the attribute relationships and determine the driving criteria of CWBE development. The results showed that government strategies play a causal role in CWBE development and drive digital collaboration, smart operations, and supply chain integration. The findings also indicated that smart manufacturing technology, organizational policies, market enhancement, supply chain analytics, and operational innovation are drivers of waste integration from fisheries into the circular economy through waste-based bioeconomy processes. |
Author Keywords |
Circular waste bioeconomy; Supply chain integration; Smart operations; Government strategies; Fuzzy Delphi method; Fuzzy decision-making trial and evaluation laboratory |
Index Keywords |
Index Keywords |
Document Type |
Other |
Open Access |
Open Access |
Source |
Science Citation Index Expanded (SCI-EXPANDED) |
EID |
WOS:001052843500011 |
WoS Category |
Environmental Sciences |
Research Area |
Environmental Sciences & Ecology |
PDF |
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