A Multi-Criteria Group Decision-Making Method for Risk Assessment of Live-Streaming E-Commerce Platform

Live-streaming e-commerce is the future development direction of the retail industry. When retailers choose a live-streaming e-commerce platform, they face the test of various risks of the platform, such as insecure control of capital flow, insufficient support of public domain traffic, etc. Therefo...

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Main Authors: Jiafu Su, Dan Wang, Fengting Zhang, Baojian Xu, Zhiguang Ouyang
Format: Article
Language:English
Published: MDPI AG 2023-06-01
Series:Journal of Theoretical and Applied Electronic Commerce Research
Subjects:
Online Access:https://www.mdpi.com/0718-1876/18/2/57
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author Jiafu Su
Dan Wang
Fengting Zhang
Baojian Xu
Zhiguang Ouyang
author_facet Jiafu Su
Dan Wang
Fengting Zhang
Baojian Xu
Zhiguang Ouyang
author_sort Jiafu Su
collection DOAJ
description Live-streaming e-commerce is the future development direction of the retail industry. When retailers choose a live-streaming e-commerce platform, they face the test of various risks of the platform, such as insecure control of capital flow, insufficient support of public domain traffic, etc. Therefore, it is necessary to evaluate the risks of the platform to help retailers identify the platform with the lowest risk. Considering the complexity of the risks of live-streaming e-commerce platforms and the ambiguity of the decision-makers thinking, the current method for multi-criteria group decision-making (MCGDM) method in a fuzzy environment rarely discusses the decision-makers weight for the criterion. This paper proposes interval-valued intuitionistic fuzzy multi-criteria group decision-making based on the decision-makers’ professionalism to evaluate the platform’s risks. This method determines the decision-maker’s weight for the criterion based on the professionalism of the decision-maker and uses the technique for order preference by similarity to an ideal solution (TOPSIS) method to rank the alternative platforms. Finally, a risk assessment of the agricultural product live-streaming e-commerce platforms is used as a case study to demonstrate the feasibility and effectiveness of the proposed method. This research will not only provide practical guidance for retailers to choose the live-streaming e-commerce platform with the lowest comprehensive risk but also provide ideas for the research of live-streaming e-commerce from the perspective of risk assessment.
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spelling doaj.art-e466f75197da41518a696fca639f5f572023-11-18T11:12:26ZengMDPI AGJournal of Theoretical and Applied Electronic Commerce Research0718-18762023-06-011821126114110.3390/jtaer18020057A Multi-Criteria Group Decision-Making Method for Risk Assessment of Live-Streaming E-Commerce PlatformJiafu Su0Dan Wang1Fengting Zhang2Baojian Xu3Zhiguang Ouyang4National Research Base of Intelligent Manufacturing Service, Chongqing Technology and Business University, Chongqing 400030, ChinaNational Research Base of Intelligent Manufacturing Service, Chongqing Technology and Business University, Chongqing 400030, ChinaNational Research Base of Intelligent Manufacturing Service, Chongqing Technology and Business University, Chongqing 400030, ChinaNational Research Base of Intelligent Manufacturing Service, Chongqing Technology and Business University, Chongqing 400030, ChinaSchool of Information Engineering and Business, Changsha Vocational and Technical College, Changsha 410217, ChinaLive-streaming e-commerce is the future development direction of the retail industry. When retailers choose a live-streaming e-commerce platform, they face the test of various risks of the platform, such as insecure control of capital flow, insufficient support of public domain traffic, etc. Therefore, it is necessary to evaluate the risks of the platform to help retailers identify the platform with the lowest risk. Considering the complexity of the risks of live-streaming e-commerce platforms and the ambiguity of the decision-makers thinking, the current method for multi-criteria group decision-making (MCGDM) method in a fuzzy environment rarely discusses the decision-makers weight for the criterion. This paper proposes interval-valued intuitionistic fuzzy multi-criteria group decision-making based on the decision-makers’ professionalism to evaluate the platform’s risks. This method determines the decision-maker’s weight for the criterion based on the professionalism of the decision-maker and uses the technique for order preference by similarity to an ideal solution (TOPSIS) method to rank the alternative platforms. Finally, a risk assessment of the agricultural product live-streaming e-commerce platforms is used as a case study to demonstrate the feasibility and effectiveness of the proposed method. This research will not only provide practical guidance for retailers to choose the live-streaming e-commerce platform with the lowest comprehensive risk but also provide ideas for the research of live-streaming e-commerce from the perspective of risk assessment.https://www.mdpi.com/0718-1876/18/2/57live-streaming e-commerce platformrisk assessmentmulti-criteria group decision-makingdecision-makers’ professionalism
spellingShingle Jiafu Su
Dan Wang
Fengting Zhang
Baojian Xu
Zhiguang Ouyang
A Multi-Criteria Group Decision-Making Method for Risk Assessment of Live-Streaming E-Commerce Platform
Journal of Theoretical and Applied Electronic Commerce Research
live-streaming e-commerce platform
risk assessment
multi-criteria group decision-making
decision-makers’ professionalism
title A Multi-Criteria Group Decision-Making Method for Risk Assessment of Live-Streaming E-Commerce Platform
title_full A Multi-Criteria Group Decision-Making Method for Risk Assessment of Live-Streaming E-Commerce Platform
title_fullStr A Multi-Criteria Group Decision-Making Method for Risk Assessment of Live-Streaming E-Commerce Platform
title_full_unstemmed A Multi-Criteria Group Decision-Making Method for Risk Assessment of Live-Streaming E-Commerce Platform
title_short A Multi-Criteria Group Decision-Making Method for Risk Assessment of Live-Streaming E-Commerce Platform
title_sort multi criteria group decision making method for risk assessment of live streaming e commerce platform
topic live-streaming e-commerce platform
risk assessment
multi-criteria group decision-making
decision-makers’ professionalism
url https://www.mdpi.com/0718-1876/18/2/57
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