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The Study of Comparing Korean Consumers' Attitudes Toward Spotify and MelOn through Semantic Network Analysis

초록

영어

This study examines users' attitudes and emotions toward Melon and Spotify, which lead the domestic streaming market, through using semantic network analysis. This study strived to find out the emotions of users according to the company's strategy. As a result of the study, MelOn was used in a user’s daily life. Based on Melon's advantages of providing various contents, the advantage is judged to have considerable competitiveness beyond the limits of streaming apps. However, the users of MelOn’s had negative emotions such as anger, repulsion, and pressure. In the case of Spotify, users were highly interested in the music content provided by Spotify. In particular, interest in foreign music was high, and users were also interest in stock investment. In addition, positive emotions such as interest and pleasure were higher than melon users, which could be interpreted as providing attractive services to domestic users.

목차

Abstract
Introduction
Theoretical Background
Previous Studies on Online Music Service
Spotify and MelOn
The Differences between Spotify and MelOn.
Research Method
The Subject and Method of Analysis
Text Mining
Term Frequency – Inverse Document Frequency(TF-IDF)
Semantic Network Analysis
Convergence of iteration Corealtion(CONCOR) 분석
Analyzing Emotional Vocabulary
Results of Analysis
Result of Collecting Data
Result of Analyzing MelOn Data
Result of Analyzing Spotify Data
Result of Comparing Emotional Vocabulary
Summarizing Keywords and Comparative Analysis of Emotional Vocabulary
Conclusion
Research Conclusion
Research Implication and Limitation
Reference

저자정보

  • Namjae, Cho Professor, Business School, Hanyang University
  • Bao Chen, Liu Business School, Hanyang University
  • Giseob, Yu Business School, Hanyang University

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