• Title/Summary/Keyword: watching intention and participation motivation

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Effect of Music and Actor Evaluations on Musical Watching Intention: Comparison between Korea and China (음악과 배우에 대한 평가가 뮤지컬 관람의도에 미치는 영향: 한국과 중국의 비교)

  • Wang, Yueqi;Shin, Hyung-Deok
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.21 no.9
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    • pp.450-457
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    • 2020
  • This study investigated the effects of music and actor evaluation on musical watching intention by performing a survey on 187 undergraduate and graduate students in Korea and China. Controlling respondents' gender, major, interests on arts, annual number of musicals attended and musical participation motivation grouped by music and actor, we found three things. First, a high evaluation of music and actor leads to high watching intention. Second, when a person is motivated by music, high evaluation on music increases the watching intention, but this is not the case for the actor. Third, Chinese people do not show any interaction effects of watching motivation between musical evaluation and watching intention. In conclusion, people are found to have a greater musical watching intention when they are motivated by music and evaluate high on music, rather than when they are motivated by the actor and evaluate high on actor. Also, the differential effects of evaluation on the musical do not exist in China, where a different musical participation culture prevails.

Identifying Consumer Response Factors in Live Commerce : Based on Consumer-Generated Text Data (라이브 커머스에서의 소비자 반응 요인 도출 : 소비자 생성 텍스트 데이터를 기반으로)

  • Park, Jae-Hyeong;Lee, Han-Sol;Kang, Ju-Young
    • Informatization Policy
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    • v.30 no.2
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    • pp.68-85
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    • 2023
  • In this study, we collected data from live commerce streaming. Streamimg data were then categorized based on the degree of chatting activation, with the distribution of text responses generated by consumers analyzed. From a total of 2,282 streaming data on NAVER Shopping Live -which has the largest share in the domestic live commerce market- we selected 200 streaming data with the most active viewer responses and finally chose the streams that had steep increase or decrease in viewer responses. We synthesized variables from the existing literature on live commerce viewing intentions and participation motivations to create a table of variables for the purpose of the study. Then we applied them with events in the broadcast. Through this study, we identified which components of the broadcast stimulate the variables of consumer response found in previous studies, moreover, we empirically identified the motivations of consumers to participate in live commerce through data.