Internet of Things (IoT) adoption barriers for the circular economy using Pythagorean fuzzy SWARA-CoCoSo decision-making approach in the manufacturing sector
Yongfeng Cui,
Wei Liu,
Pratibha Rani and
Melfi Alrasheedi
Technological Forecasting and Social Change, 2021, vol. 171, issue C
Abstract:
The growth of new cutting-edge technologies such as the Internet of Things (IoT) is proposed by the industry 4.0 concept. Despite the vast potential of IoT to be used in the circular economy, the adoption of IoT is still in its primary step. This study aims to identify the important barriers to the adoption of IoT in the circular economy in the manufacturing sector. To this end, a survey study was conducted to construct a framework for the evaluation of the IoT adoption barriers in the circular economy. Therefore, a novel method integrating the Stepwise Weight Assessment Ratio Analysis (SWARA) and Combined Compromise Solution (CoCoSo) methods based on Pythagorean Fuzzy Sets (PFSs) was proposed. In this method, the SWARA model is used to estimate the significance degree or weighting degrees of the barriers, while the CoCoSo method is applied to ranking various organizations in the manufacturing sector under the identified barriers. To show the performance of the developed approach, a comparison analysis is performed of the selection of qualified organizations. The outcome of this study indicated that the developed approach was able to suggest more realistic performance under PFSs, hence providing a wide range of applications.
Keywords: Internet of things(IoT); Circular economy; Pythagorean fuzzy sets; Manufacturing sector; Fuzzy sets; Decision making; SWARA; CoCoSo (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (11)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0040162521003838
Full text for ScienceDirect subscribers only
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:eee:tefoso:v:171:y:2021:i:c:s0040162521003838
DOI: 10.1016/j.techfore.2021.120951
Access Statistics for this article
Technological Forecasting and Social Change is currently edited by Fred Phillips
More articles in Technological Forecasting and Social Change from Elsevier
Bibliographic data for series maintained by Catherine Liu ().