A Hybrid MCDM Model for Live-Streamer Selection via the Fuzzy Delphi Method, AHP, and TOPSIS

The development of the Internet is a key revolution of the 20th century. The Internet has led to a boom in e-commerce. Online shopping is generally the most popular shopping option for consumers. The coronavirus disease 2019 (COVID-19) pandemic has resulted in adopting various measures, such as lockdown and stay-at-home orders, in various countries. This has led to changes in people’s consumption habits. In Taiwan, consumer behavior has also rapidly shifted to online shopping after the outbreak of the COVID-19. As livestreaming breaks time and space barriers, its real-time, interactive, and authentic features are unparalleled compared to other marketing methods, thereby creating a brand-new shopping experience for consumers. Accordingly, livestream shopping, a new consumption model, has developed and become an essential part of people’s daily lives. Live-streamers, who are similar to salespersons in traditional markets, play a vital role in e-commerce livestreaming. The success of livestream shopping has highlighted the importance of live-streamers. The competition among live-streamers has become more intense because of the arrival of many newcomers. Thus, operators must make careful hiring decisions. However, no related literature in the past has investigated this important topic. Therefore, this study applied a hybrid multi-criteria decision-making (MCDM) model comprising the fuzzy Delphi method (screen the selection criteria), analytic hierarchy process (AHP) (obtain the weight of each dimension and criterion), and technique for order preference by similarity to ideal solution (TOPSIS) (rank the alternatives) to assist the managers of shopping websites in selecting live-streamers. We interviewed the managers of shopping websites and reviewed the related literature to compile the selection criteria. Following the fuzzy Delphi method, 15 important selection criteria were retained based on the 30 managers’ opinions. Further, the criteria were classified into dimensions based on the previous literature and interviews conducted on managers to establish a hierarchical framework. On the basis of this hierarchical framework, AHP and TOPSIS were applied to help a case company select live-streamers. A comparative analysis between the outcomes from AHP and AHP/TOPSIS was also conducted in this study. This study is the first empirical study on live-streamers’ selection and adds to the literature on livestreaming.

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Multiple Criteria Inventory Classification Under Fuzzy Environment

International Journal of Fuzzy System Applications ◽

10.4018/ijfsa.2012100105 ◽

2012 ◽

Vol 2 (4) ◽

pp. 76-92 ◽

Cited By ~ 17

Author(s):

Golam Kabir

Keyword(s):

Delphi Method ◽

Raw Materials ◽

Fuzzy Ahp ◽

Multiple Criteria ◽

Analytic Hierarchy ◽

Large Power ◽

Fuzzy Delphi Method ◽

Fuzzy Environment ◽

Fuzzy Delphi ◽

Engineering Company

A systematic approach to the inventory control and classification may have significant influence on company competitiveness. In practice, all inventories cannot be controlled with equal attention. In order control the inventory items and to determine the suitable ordering policies for them, multiple criteria inventory classification is used. A systematic and logical approach is structured for multiple criteria inventory classification under fuzzy environment through integrating Fuzzy Delphi Method (FDM) with Fuzzy Analytic Hierarchy Process (FAHP). Fuzzy Delphi method is used to identify the important criteria and, Fuzzy AHP is used to determine the relative weights of the criteria, and to classify inventories into different categories. To accredit the proposed model, its implemented for the 351 raw materials of switch gear section of Energypac Engineering Limited (EEL), a large power engineering company of Bangladesh.

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Analysis of luxury resort hotels by using the Fuzzy Analytic Hierarchy Process and the Fuzzy Delphi Method

Economic Research-Ekonomska Istraživanja ◽

10.1080/1331677x.2014.952106 ◽

2014 ◽

Vol 27 (1) ◽

pp. 244-266 ◽

Cited By ~ 8

Author(s):

Anna M. Gil-Lafuente ◽

José M. Merigó ◽

Emilio Vizuete

Keyword(s):

Analytic Hierarchy Process ◽

Delphi Method ◽

Fuzzy Analytic Hierarchy Process ◽

Analytic Hierarchy ◽

Fuzzy Delphi Method ◽

Fuzzy Delphi ◽

Hierarchy Process ◽

Resort Hotels

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Methodology to quantify rock behavior around shallow tunnels by Analytic Hierarchy Process and Fuzzy Delphi Method

Geosystem Engineering ◽

10.1080/12269328.2008.10541282 ◽

2008 ◽

Vol 11 (2) ◽

pp. 29-36 ◽

Cited By ~ 2

Author(s):

Young-Il Yoo ◽

Jae-Joon Song

Keyword(s):

Analytic Hierarchy Process ◽

Delphi Method ◽

Analytic Hierarchy ◽

Fuzzy Delphi Method ◽

Shallow Tunnels ◽

Fuzzy Delphi ◽

Hierarchy Process

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Application of the Fuzzy Delphi Method and the Fuzzy Analytic Hierarchy Process for the Managerial Competence of Multinational Corporation Executives

International Journal of e-Education e-Business e-Management and e-Learning ◽

10.7763/ijeeee.2013.v3.248 ◽

2013 ◽

Cited By ~ 1

Author(s):

Weng-Kun Liu

Keyword(s):

Analytic Hierarchy Process ◽

Delphi Method ◽

Multinational Corporation ◽

Fuzzy Analytic Hierarchy Process ◽

Analytic Hierarchy ◽

Fuzzy Delphi Method ◽

Fuzzy Delphi ◽

Managerial Competence ◽

Hierarchy Process

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Combining the Fuzzy Analytic Hierarchy Process and the fuzzy Delphi method for developing critical competences of electronic commerce professional managers

Quality & Quantity ◽

10.1007/s11135-010-9425-6 ◽

2011 ◽

Vol 45 (4) ◽

pp. 751-768 ◽

Cited By ~ 9

Author(s):

Chih-Hung Wu ◽

Wen-Chang Fang

Keyword(s):

Analytic Hierarchy Process ◽

Electronic Commerce ◽

Delphi Method ◽

Fuzzy Analytic Hierarchy Process ◽

Analytic Hierarchy ◽

Fuzzy Delphi Method ◽

Professional Managers ◽

Fuzzy Delphi ◽

Hierarchy Process

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A Hybrid MCDM Model to Select Optimal Hosts of Variety Shows in the Social Media Era

Symmetry ◽

10.3390/sym12010125 ◽

2020 ◽

Vol 12 (1) ◽

pp. 125

Author(s):

Lee-Chun Wu ◽

Kuei-Lun Chang ◽

Sen-Kuei Liao

Keyword(s):

Decision Making ◽

Social Media ◽

Delphi Method ◽

Host Selection ◽

Selection Criteria ◽

Senior Executives ◽

Fuzzy Delphi Method ◽

Fuzzy Delphi ◽

The Social ◽

Variety Show

The selection of the optimal variety show hosts is a key to television stations. However, no study has a deal with this issue. In this paper, a hybrid multiple criteria decision-making (MCDM) model based on the fuzzy Delphi method, decision-making trial and evaluation laboratory (DEMATEL), analytic network process (ANP), and technique for order preference by similarity to ideal solution (TOPSIS) to choose optimal hosts of variety shows for television stations in the social media era was developed. The fuzzy Delphi method was taken as a screening tool for the selection criteria of variety show hosts. Then, DEMATEL was applied to verify the interdependencies between the perspectives. According to the interdependencies, ANP was employed to obtain weights. Finally, TOPSIS ranked the alternatives. The selection criteria were gathered from previous researches and discussions with senior executives of television stations. By the fuzzy Delphi method, 12 criteria were identified. Based on the past study and consultations with four senior executives, we classified 12 essential criteria into four perspectives to develop the hierarchy for the variety show host selection. Under the hierarchy base on four perspectives and 12 criteria, managers of television stations could select the optimal variety show hosts more effectively. The usability and efficiency of the proposed model were also considered by a case study. We offered a distinct contribution to the prior studies by providing a model in the variety show host selection field. In the context of social media competition, this study also added the selection criteria from Internet celebrities.

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