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

Wu, Lee-Chun; Chang, Kuei‐Lun; Liao, Sen‐Kuei

doi:10.3390/sym12010125

Cited by 11 publications

(14 citation statements)

References 45 publications

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“…The criteria for selecting live-streamers were compiled based on interviews with the managers of shopping websites and a review of related prior literature [32,52,53] to design a fuzzy Delphi method-based questionnaire. The items in the questionnaire are valid as they were taken from existing literature.…”

Section: Application To Select the Optimal Live-streamermentioning

confidence: 99%

“…The results of the fuzzy Delphi method are shown in Table 1. Lastly, the criteria were classified into dimensions based on past literature [32,52,53] and interviews with the managers of shopping websites to establish a hierarchical framework, described as follows:…”

Section: Application To Select the Optimal Live-streamermentioning

confidence: 99%

“…The individual dimension includes five criteria: the ability to express clearly (introduce products clearly) [32,52,53], respond to emergencies (react appropriately to emergencies) [32,52,53], emotional stability (emotional steadiness) [32], positive work attitude (conscientious toward the work) [32,53], and extensive life experience (the rich of living experience) [52,53].…”

Section: Application To Select the Optimal Live-streamermentioning

confidence: 99%

“…The fuzzy Delphi method has been successfully administered in many areas [27]. Furthermore, many studies [28][29][30][31][32] have applied the fuzzy Delphi method to screen the criteria for personnel selection. As a result, the geometric mean is adopted in the fuzzy Delphi method for representing the opinions of experts and screening the selection criteria for live-streamers.…”

Section: Introductionmentioning

confidence: 99%

“…The fuzzy Delphi method has been successfully used in many areas [27]. As to the studies about personnel selection, it was utilized to screen the selection criteria for public relations personnel [28], tour guide [29], celebrity endorser [30], gamer for professional esports team [31], and variety show host [32]. As a result, opinions from the managers of shopping websites were extracted using the geometric mean in this study.…”

mentioning

confidence: 99%

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

et al. 2021

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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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Section: Application To Select the Optimal Live-streamermentioning

confidence: 99%

Section: Application To Select the Optimal Live-streamermentioning

confidence: 99%

Section: Application To Select the Optimal Live-streamermentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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confidence: 99%

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

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Multi-criteria decision-making for coronavirus disease 2019 applications: a theoretical analysis review

et al. 2022

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The influence of the ongoing COVID-19 pandemic that is being felt in all spheres of our lives and has a remarkable effect on global health care delivery occurs amongst the ongoing global health crisis of patients and the required services. From the time of the first detection of infection amongst the public, researchers investigated various applications in the fight against the COVID-19 outbreak and outlined the crucial roles of different research areas in this unprecedented battle. In the context of existing studies in the literature surrounding COVID-19, related to medical treatment decisions, the dimensions of context addressed in previous multidisciplinary studies reveal the lack of appropriate decision mechanisms during the COVID-19 outbreak. Multiple criteria decision making (MCDM) has been applied widely in our daily lives in various ways with numerous successful stories to help analyse complex decisions and provide an accurate decision process. The rise of MCDM in combating COVID-19 from a theoretical perspective view needs further investigation to meet the important characteristic points that match integrating MCDM and COVID-19. To this end, a comprehensive review and an analysis of these multidisciplinary fields, carried out by different MCDM theories concerning COVID19 in complex case studies, are provided. Research directions on exploring the potentials of MCDM and enhancing its capabilities and power through two directions (i.e. development and evaluation) in COVID-19 are thoroughly discussed. In addition, Bibliometrics has been analysed, visualization and interpretation based on the evaluation and development category using R-tool involves; annual scientific production, country scientific production, Wordcloud, factor analysis in bibliographic, and country collaboration map. Furthermore, 8 characteristic points that go through the analysis based on new tables of information are highlighted and discussed to cover several important facts and percentages associated with standardising the evaluation criteria, MCDM theory in ranking alternatives and weighting criteria, operators used with the MCDM methods, normalisation types for the data used, MCDM theory contexts, selected experts ways, validation scheme for effective MCDM theory and the challenges of MCDM theory used in COVID-19 studies. Accordingly, a recommended MCDM theory solution is presented through three distinct phases as a future direction in COVID19 studies. Key phases of this methodology include the Fuzzy Delphi method for unifying criteria and establishing importance level, Fuzzy weighted Zero Inconsistency for weighting to mitigate the shortcomings of the previous weighting techniques and the MCDM approach by the name Fuzzy Decision by Opinion Score method for prioritising alternatives and providing a unique ranking solution. This study will provide MCDM researchers and the wider community an overview of the current status of MCDM evaluation and development methods and motivate researchers in harnessing MCDM potentials in tackling a...

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Unifying The Evaluation Criteria Of Many Objectives Optimization Using Fuzzy Delphi Method

et al. 2021

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Many objective optimizations (MaOO) algorithms that intends to solve problems with many objectives (MaOP) (i.e., the problem with more than three objectives) are widely used in various areas such as industrial manufacturing, transportation, sustainability, and even in the medical sector. Various approaches of MaOO algorithms are available and employed to handle different MaOP cases. In contrast, the performance of the MaOO algorithms assesses based on the balance between the convergence and diversity of the non-dominated solutions measured using different evaluation criteria of the quality performance indicators. Although many evaluation criteria are available, yet most of the evaluation and benchmarking of the MaOO with state-of-art algorithms perform using one or two performance indicators without clear evidence or justification of the efficiency of these indicators over others. Thus, unify a set of most suitable evaluation criteria of the MaOO is needed. This study proposed a distinct unifying model for the MaOO evaluation criteria using the fuzzy Delphi method. The study followed a systematic procedure to analyze 49 evaluation criteria, sub-criteria, and its performance indicators, a penal of 23 domain experts, participated in this study. Lastly, the most suitable criteria outcomes are formulated in the unifying model and evaluate by experts to verify the appropriateness and suitability of the model in assessing the MaOO algorithms fairly and effectively.

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

Cited by 11 publications

References 45 publications

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

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

Multi-criteria decision-making for coronavirus disease 2019 applications: a theoretical analysis review

Unifying The Evaluation Criteria Of Many Objectives Optimization Using Fuzzy Delphi Method

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