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The Impact of Comments on Music Download and Streaming: A Text Mining Analysis

댓글이 음원 판매량에 미치는 차별적 영향에 관한 텍스트마이닝 분석

  • Received : 2018.03.16
  • Accepted : 2018.05.31
  • Published : 2018.06.30

Abstract

This study mainly focused on measuring the impact of comments for a particular song on the number of streamings and downloads. We modeled multiple regression equations to perform this analysis. We chose digital music market for the object of analysis because of its inherent characteristics, such as experience goods, high bandwagon effect, and so on. We carefully utilized text mining technique in accordance with the algorithm of Naïve Bayes classifier to distinguish whether a comment for a piece of music be regarded as positive or negative. In addition, we used 'size of agency' and 'existence of hit song' as moderating variables. The reason for usage of those variables is that those are assumed to affect users' decision for selecting particular song especially when downloading or streaming via music sites. We found empirical evidences that positive comments for a particular song increase the number of both downloads and streamings. However, positive comments may decrease the number of downloads when the size of agency of the artist is big. As a result, we were able to say that a positive comment for a particular song functioned as 'word-of-mouth' effect, inducing other users' behavioral response. We also found that other features of an artist such as size of the agency that the artist belongs to functioned as an external factor along with feature of the song itself.

Acknowledgement

Supported by : 한국연구재단

References

  1. 김창호, "온라인 구전의 정보방향과 평가내용이 구전효과에 미치는 영향: 대학생 휴대폰 구매관련", 한국통상정보학회지, 제8권, 제4호, 2006, pp. 23-41.
  2. 박은아, 김영우, 서현숙, "온라인 사용 후기 정보의 영향력: 제품 유형에 따른 차이 분석", 한국심리학회 연차 학술발표논문집, 2007, pp. 584-585.
  3. 박지영, 유요섭, "온라인 구전정보의 메시지 방향성이 구전정보의 효과성에 미치는 영향: 브랜드 인지도의 조절효과를 중심으로", 한국서비스산업학회지, 제8권, 제3호, 2011, pp. 15-28.
  4. 박찬, 유창조, "온라인 구전커뮤니케이션이 상품평가에 미치는 영향에 관한 연구: 상표사용후기와 답글을 중심으로", 소비자학연구, 제17권, 제1호, 2006, pp. 73-93.
  5. 배정환, 손지은, 송민, "텍스트 마이닝을 이용한 2012 년 한국대선 관련 트위터 분석", 지능정보연구, 제19권, 제3호, 2013, pp. 141-156. https://doi.org/10.13088/jiis.2013.19.3.141
  6. 손지연, 어숙희, "화장품 온라인 쇼핑 시 온라인 구전 정보의 방향성이 소비자 구매의도에 미치는 영향", 한국미용학회지, 제14권, 제3호, 2008, pp. 929-945.
  7. 손진아, 이은영, "인터넷 의류쇼핑에서 온라인 구전정보 특성 중 방향성과 동의성이 소비자 구매활동 변화에 미치는 영향", 한국의류학회지, 제31권, 제8호, 2007, pp. 1157-1167. https://doi.org/10.5850/JKSCT.2007.31.8.1157
  8. 양성수, 김인호, 정철, "디지털음악 콘텐츠서비스의 수용 요인이 지각된 가치와 고객만족에 미치는 영향", 한국콘텐츠학회논문지, 제16권, 제11호, 2016, pp. 456-463. https://doi.org/10.5392/JKCA.2016.16.11.456
  9. 유재원, 형지현, 이재영, "다운로드/스트리밍이 선호되는 디지털 음원 특성에 대한 고찰", 마케팅연구, 제33권, 제1호, 2018, pp. 1-21.
  10. 이도화, 이종법, "조직공정성과 조직구성원 성과 사이의 관계에 대한 성별과 통제위치의 조절효과", 인적자원관리연구, 제17권, 제2호, 2010, pp. 121-137.
  11. 이상훈, 조장식, 강창완, 최승배, "텍스트 마이닝을 활용한 영화흥행 예측 연구", 한국데이터정보과학회지, 제26권, 제6호, 2015, pp. 1259-1269.
  12. 이소현, 이연경, 송의령, 김희웅, "토픽모델링을 이용한 국가간 행복과 불행 토픽 비교 분석: 한국, 미국, 영국, 브라질", 지식경영연구, 제18권, 제3호, 2017, pp. 101-124. https://doi.org/10.15813/kmr.2017.18.3.005
  13. 장리, 최강준, 이재영, "온라인 구전량 및 평점과 시기별 영화 흥행과의 관계", 지식경영연구, 제18권, 제2호, 2017, pp. 65-83. https://doi.org/10.15813/kmr.2017.18.2.004
  14. 한국인터넷 진흥원, 인터넷주제심층조사 요약보고서, "웹 2.0 시대의 네티즌 인터넷 이용 현황: 참여와 공유의 인터넷", 2006.
  15. Adler, M., "Stardom and talent", The American economic review, Vol. 75, No. 1, 1985, pp. 208-212.
  16. Aguiar, L. and Martens, B., "Digital music consumption on the internet: evidence from clickstream data", Information Economics and Policy, Vol. 34, 2016, pp. 27-43. https://doi.org/10.1016/j.infoecopol.2016.01.003
  17. Bardhi, Fleura, and Giana M. Eckhardt, "Liquid Consumption", Journal of Consumer Research, Vol. 44, No. 3, 2017, pp. 582-597. https://doi.org/10.1093/jcr/ucx050
  18. Basuroy, S., Chatterjee, S., and S. A. Ravid, "How critical are critical reviews? The box office effects of film critics, star-power and budgets", Journal of Marketing, Vol. 67, 2003, pp. 105-117.
  19. Beatty, S. E., Pamela H., and Lynn R. K., "The involvement-commitment model: Theory and implications", Journal of Business research, Vol. 16, No. 2, 1988, pp. 149-167. https://doi.org/10.1016/0148-2963(88)90039-2
  20. Bhattacharjee, S., Gopal, R. D., Lertwachara, K., Marsden, J. R., and Telang, R.,"The effect of digital sharing technologies on music markets: A survival analysis of albums on ranking charts", Management Science, Vol. 53, No. 9, 2007, pp. 1359-1374. https://doi.org/10.1287/mnsc.1070.0699
  21. Cao, Q., W. Duan, and Q. Gan, "Exploring determinants of voting for the 'helpfulness' of online user reviews: A text mining approach", Decision Support Systems, Vol. 50, No. 2, 2011, pp. 511-521. https://doi.org/10.1016/j.dss.2010.11.009
  22. Chen, P. Y., S. Y. Wu, and J. Yoon, "The impact of online recommendations and consumer feedback on sales", Proceedings of the International Conference on Information Systems, 2004, pp. 711-724.
  23. Chevalier, J. A., and D. Mayzlin, "The effect of word of mouth on sales: Online book reviews", Journal of marketing research, Vol. 43, No. 3, 2006, pp. 345-354. https://doi.org/10.1509/jmkr.43.3.345
  24. Chintagunta, P. K., Gopinath, S., and Venkataraman, S., "The effects of online user reviews on movie box office performance: Accounting for sequential rollout and aggregation across local markets", Marketing Science, Vol. 29, No. 5, 2010, pp. 944-957. https://doi.org/10.1287/mksc.1100.0572
  25. Duan, W., Gu, B., and A. B. Whinston, "The dynamics of online word-of-mouth and product sales-An empirical investigation of the movie industry", Journal of Retailing, Vol.84, 2008, pp. 233-242. https://doi.org/10.1016/j.jretai.2008.04.005
  26. Eisentraut, J., "The accessibility of music: participation, reception, and contact", 2012, Cambridge University Press.
  27. Elliott, K. M., Understanding consumer-to consumer influence on the web (Doctoral dissertation), Duke University, 2002.
  28. Forman C, Ghose A, and Goldfarb A., "Competition Between Local and Electronic Markets: How the Benefit of Buying Online Depends on Where You Live", Management Science, Vol. 55, No. 1, 2009, pp. 47-57. https://doi.org/10.1287/mnsc.1080.0932
  29. Graham, G., Burnes, B., Lewis, G. J., and Langer, "The transformation of the music industry supply chain: A major label perspective", International Journal of Operations & Production Management, Vol. 24, No. 11, 2004, pp. 1087-1103. https://doi.org/10.1108/01443570410563241
  30. Hiller, R. S., "Sales displacement and streaming music: Evidence from YouTube", Information Economics and Policy, Vol. 34, 2016, pp. 16-26. https://doi.org/10.1016/j.infoecopol.2015.12.002
  31. Kohli, A. K., and B.J. Jaworski "Market orientation: the construct, research propositions, and managerial implications," The Journal of Marketing, 1990, pp. 1-18.
  32. Kretschmer, T. and C. Peukert, "Video Killed the Radio Star? Online Music Videos and Recorded Music Sales", London School of Economics and Political Science, 2017, LSE Library.
  33. Rish, I., "An empirical study of the naive Bayes classifier", IJCAI 2001 workshop on empirical methods in artificial intelligence, 2011, IBM.
  34. Strobl, E. A., and Tucker, C., "The dynamics of chart success in the UK pre-recorded popular music industry", Journal of Cultural Economics, Vol. 24, No. 2, 2000, pp. 113-134. https://doi.org/10.1023/A:1007601402245