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A New Hybrid MCDM Model for Esports Caster Selection
Kuei-Lun Chang
Esports receiving increasing amounts of attention have boundless potential. Esports casters serve a significant role in the esports industry. However, the topic of esports caster selection has yet to be explored. A new hybrid multiple criteria decision making (MCDM) model comprising importance-performance analysis (IPA), decision making trial and evaluation laboratory (DEMATEL), analytic network process (ANP), and technique for order preference by similarity to ideal solution (TOPSIS) for esports caster selection were proposed in this study. An empirical study to select optimal esports casters for a television station was also presented.
Keywords: esports caster, importance-performance analysis (IPA), decision making trial and evaluation laboratory (DEMATEL), analytic network process (ANP), technique for order preference by similarity to ideal solution (TOPSIS)