A Neutrosophic Expert Reputation Rating (ERERA) based Barrier Classification Model for the Sharing Economy

Vladimir Simic; Nataša Bojković; Tanja Živojinović; Marijana Petrović; Erfan Babaee Tirkolaee

doi:10.31181/dma412026169

Authors

Vladimir Simic 1) University of Belgrade, Faculty of Transport and Traffic Engineering, Vojvode Stepe 305, 11010 Belgrade, Serbia; 2) Department of Industrial Engineering, Faculty of Engineering, Dogus University, 34775 Umraniye, Istanbul, Türkiye; 3) Department of Computer Science and Engineering, College of Informatics, Korea University, Seoul 02841, Republic of Korea https://orcid.org/0000-0001-5709-3744
Nataša Bojković 1) University of Belgrade, Faculty of Transport and Traffic Engineering, Vojvode Stepe 305, 11010 Belgrade, Serbia https://orcid.org/0000-0002-9291-8999
Tanja Živojinović 1) University of Belgrade, Faculty of Transport and Traffic Engineering, Vojvode Stepe 305, 11010 Belgrade, Serbia https://orcid.org/0000-0003-0015-1637
Marijana Petrović 1) University of Belgrade, Faculty of Transport and Traffic Engineering, Vojvode Stepe 305, 11010 Belgrade, Serbia https://orcid.org/0000-0001-9173-9238
Erfan Babaee Tirkolaee 4) Department of Industrial Engineering, Istinye University, 34396 Istanbul, Turkey; 5) Saveetha School of Engineering, Saveetha Institute of Medical and Technical Sciences, Chennai, Tamilnadu, 600020, India; 6) Department of Mechanics and Mathematics, Western Caspian University, Baku, Azerbaijan https://orcid.org/0000-0003-1664-9210

DOI:

https://doi.org/10.31181/dma412026169

Keywords:

Sharing Economy, Barriers, ERERA, Type-2 Neutrosophic Numbers, Multi-Criteria Group Decision-Making

Abstract

This paper considers barriers to the development of the sharing economy from the perspective of actors who are directly faced with the challenges of running a business. An original barrier classification model referred to as the two-phase neutrosophic Expert REputation RAting (ERERA) is formulated. Uncertainties regarding severity estimations of barriers and reputation appraisals of decision analysts are addressed using type-2 neutrosophic numbers (T2NNs). In the first phase, neutrosophic ERERA differentiates the decision analysts by taking into account their reputation indicators and built-in trade-off parameters. In the second phase, this innovative barrier classifier determines the severity degrees of the barriers and categorizes them by taking into account the nature of the addressed problem. The number of intrinsic parameters of neutrosophic ERERA equals the number of reputation indicators plus classification parameters, thus making it flexible for real-life multi-criteria group decision-making applications. Based on research conducted in Serbia, a set of critical severity barriers is found. In-depth sensitivity analysis confirmed the stability of the initial classes produced by neutrosophic ERERA. Funding, pre-opening requirements, and familiarity should be regarded as critical severity barriers to the sharing economy adoption in Serbia.

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