Korean Academic Society of Business Administration
[ Article ]
korean management review - Vol. 48, No. 2, pp.341-360
ISSN: 1226-1874 (Print)
Print publication date 30 Apr 2019
Received 21 Aug 2018 Revised 07 Jan 2019 Accepted 11 Jan 2019
DOI: https://doi.org/10.17287/kmr.2019.48.2.341

온라인 구전의 방향성과 분산이 영화매출에 미치는 영향: 경쟁영화 온라인 구전 특성의 조절효과를 중심으로

이중원* ; 박철**
*(주저자) 고려대학교 대학원 기업경영학과 박사과정 d2ljw510@naver.com
**(교신저자) 고려대학교 융합경영학부 교수 cpark@korea.ac.kr
The Effects of Valence and Variance of eWOM on Movie Sales Consideing the Moderation Effect of eWOM of Rival Movies
JungWon Lee* ; Cheol Park**
*Doctoral Student, Department of Corporate Management, Korea University, First Author
**Professor, College of Global Business, Korea University, Corresponding Author

초록

온라인 구전은 소비자가 제품에 대한 지식을 얻는 가장 중요한 채널 중 하나로 기업이 제공하는 마케팅 정보보다 신뢰도가 높다. 학계에서도 온라인 구전에 대한 다양한 연구들이 보고되고 있다. 선행연구들은 온라인 구전의 양과 방향성이 소비자 행동에 미치는 영향과, 이러한 관계를 조절하는 제품유형, 문화적 차이 등의 요인을 분석하였다. 하지만 경쟁영화의 구전특성의 조절효과를 살펴본 연구는 제한적이다. 이에 본 연구에서는 영화산업을 대상으로 온라인 구전 방향성과 온라인 구전의 분산이 영화 매출액에 미치는 영향을 분석하고, 이러한 관계를 조절하는 경쟁영화의 수와 경쟁영화의 구전 방향성의 조절효과를 분석하였다. 구체적으로 2017년 한국에서 개봉한 112개 영화의 45일 간 데이터를 수집하여 총 4,487개의 데이터를 다중회귀분석 방법으로 분석하였다. 연구 결과 온라인 구전 방향성과 구전의 분산은 영화매출에 긍정적인 효과가 있는 것으로 나타났다. 또한 경쟁영화의 온라인 구전 방향성이 긍정적일수록 영화의 구전특성이 매출액에 미치는 긍정적 효과가 약화되었으며, 경쟁영화의 수가 증가할수록 영화의 구전특성이 매출액에 미치는 긍정적 효과가 강화되었다.

Abstract

eWOM is one of the most important channels for consumers to gain knowledge on products, and is more reliable than marketing information provided by corporate. The previous studies on eWOM mainly analyzed the effect of eWOM valence and variance on consumer decision making. They also have considered variables such as product type and cultural difference that moderate the eWOM and sales. However, there is limited research that examines the moderating effect of the eWOM of rival product. This study we examined the impact of eWOM valence and variance on sales in movie industry, and analyzed the moderation effect of eWOM of rival movies between eWOM and movie sales. We collected data for 45 days in 112 movies in Korea, and analyzed 4,487 data through multiple regression analysis. As results, the eWOM valence and variance have positive effects on movie sales. In addition, the positive eWOM valence effect of rival movies weakened the positive eWOM effect on movie sales. On the other hand, the positive eWOM effect on movie sales increased as rival movie number increased.

Keywords:

eWOM, eWOM Valence, eWOM Variance, Competition, Movie, Online Marketing

키워드:

온라인구전, 구전방향성, 구전분산, 경쟁사, 온라인마케팅, 영화

References

  • 김성훈(2018). 매크로를 이용한 영화 평점 조작의 실체. 씨네21. 2018. 07. 06. Available at : http://www.cine21.com/news/view/?mag_id=90596
  • 김영주·김동수·김재환(2014). 영화선택에서의 비보상적 의사 결정. 마케팅연구, 29(1), 1-20.
  • 김창호(2006). 온라인 구전정보와 웹사이트 특성이 태도변화에 미치는 영향. e-비즈니스연구, 7(5), 3-21.
  • 박은아(2007). 온라인 사용후기가 구매의사결정에 미치는 효과: 후기방향성, 브랜드인지도, 제품유형에 따른 차이. 광고학연구, 18(5), 7-22.
  • 박철·이태민(2006). 온라인 구전효과에 영향을 미치는 요인에 관한 비교문화적 실증연구. 경영학연구, 35 (6), 1617-1647.
  • 송지준(2008). 「SPSS/AMOS 통계분석방법」, 경기: 21세기사.
  • 안아림·민동원(2013). 소비자 온라인 리뷰 (OCR)가 제품에 대한 태도와 구매 의도에 미치는 영향. 소비자학연구, 24(3), 23-50.
  • 양윤·김신혜(2011). 메시지 틀, 조절초점, 지각된 위험이 광고메시지 태도와 구매의도에 미치는 영향. 광고학연구, 22(1), 257-276.
  • 유선희(2017). 흥행의 운명 ‘택일’에 달렸다. 한겨례, 2017. 12.28 Available at : http://www.hani.co.kr/arti/PRINT/825357.html
  • 유창조·안광호·박성휘(2011). 온라인 구전정보가 소비자 구매의도에 미치는 영향에 대한 실증연구. Asia Marketing Journal, 13(3), 209-231.
  • 이유석·차경천·김상훈(2016). 인터넷 정보 검색 행동과 영화 흥행의 상관관계에 대한 연구. 경영학연구, 45(5), 1501-1526.
  • 전성률·박현진(2003). 부정적 구전정보의 유형에 따른 구전효과의 차이에 관한 연구. 소비자학연구, 14(4), 21-44.
  • 주우진·노민정(2009). 리뷰의 수, 분포, 편중이 쾌락적 및 실용적 상품의 태도 및 구매에 미치는 영향에 관한 연구. 마케팅연구, 24(1), 109-143.
  • Ainslie, A., Drèze, X., and Zufryden, F. (2005). Modeling movie life cycles and market share. Marketing Science, 24(3), 508-517. [https://doi.org/10.1287/mksc.1040.0106]
  • Angelis, M. D., Bonezzi, A., Peluso, A. M., Rucker, D. D., and Costabile, M. (2012). On braggarts and gossips: A self-enhancement account of word-of-mouth generation and transmission. Journal of Marketing Research, 49(4), 551-563. [https://doi.org/10.1509/jmr.11.0136]
  • Assael, H. (1998). Customer behavior and marketing action. Boston Masachusetts: PWS-Kelling.
  • Baker, A. M., Donthu, N., and Kumar, V. (2016). Investigating how word-of-mouth conversations about brands influence purchase and retransmission intentions. Journal of Marketing Research, 53(2), 225-239. [https://doi.org/10.1509/jmr.14.0099]
  • Babić Rosario, A., Sotgiu, F., De Valck, K., and Bijmolt, T. H. (2016). The effect of electronic word of mouth on sales: A meta-analytic review of platform, product, and metric factors. Journal of Marketing Research, 53 (3), 297-318. [https://doi.org/10.1509/jmr.14.0380]
  • Berger, J., and Heath, C. (2007). Where consumers diverge from others: Identity signaling and product domains. Journal of Consumer Research, 34(2), 121-134. [https://doi.org/10.1086/519142]
  • Berger, J., and Schwartz, E. M. (2011). What drives immediate and ongoing word of mouth?. Journal of Marketing Research, 48(5), 869-880. [https://doi.org/10.1509/jmkr.48.5.869]
  • Bickart, B., and Schindler, R. M. (2001). Internet forums as influential sources of consumer information. Journal of Interactive Marketing, 15(3), 31-40. [https://doi.org/10.1002/dir.1014]
  • Bronner, F., and De Hoog, R. (2011). Vacationers and eWOM: Who posts, and why, where, and what?. Journal of Travel Research, 50 (1), 15-26. [https://doi.org/10.1177/0047287509355324]
  • Chaiken, S., and Eagly, A. H. (1989). Heuristic and systematic information processing within and. Unintended thought, 212, 212-252.
  • Chevalier, J. A., and Mayzlin, D. (2006). The effect of word of mouth on sales: Online book reviews. Journal of Marketing Research, 43 (3), 345-354. [https://doi.org/10.1509/jmkr.43.3.345]
  • Chintagunta, P. K., Gopinath, S., and Venkataraman, S. (2010). The effects of online user reviews on movie box office performance: Accounting for sequential rollout and aggregation across local markets. Marketing Science, 29(5), 944-957. [https://doi.org/10.1287/mksc.1100.0572]
  • Chu, S. C., and Choi, S. M. (2011). Electronic word-of-mouth in social networking sites: A cross-cultural study of the United States and China. Journal of Global Marketing, 24 (3), 263-281. [https://doi.org/10.1080/08911762.2011.592461]
  • Clemons, E. K., Gao, G. G., and Hitt, L. M. (2006). When online reviews meet hyperdifferentiation: A study of the craft beer industry. Journal of Management Information Systems, 23 (2), 149-171. [https://doi.org/10.2753/MIS0742-1222230207]
  • Daugherty, T., Eastin, M. S., and Bright, L. (2008). Exploring consumer motivations for creating user-generated content. Journal of Interactive Advertising, 8(2), 16-25. [https://doi.org/10.1080/15252019.2008.10722139]
  • Davis, A., and Khazanchi, D. (2008). An empirical study of online word of mouth as a predictor for multi-product category e-commerce sales. Electronic Markets, 18(2), 130-141. [https://doi.org/10.1080/10196780802044776]
  • Dellarocas, C., Zhang, X., and Awad, N. F. (2007). Exploring the value of online product reviews in forecasting sales: The case of motion pictures. Journal of Interactive Marketing, 21(4), 23-45. [https://doi.org/10.1002/dir.20087]
  • Doh, S. J., and Hwang, J. S. (2009). How consumers evaluate eWOM (electronic word-of-mouth) messages. CyberPsychology & Behavior, 12 (2), 193-197. [https://doi.org/10.1089/cpb.2008.0109]
  • Duan, W., Gu, B., and Whinston, A. B. (2008). The dynamics of online word-of-mouth and product sales—An empirical investigation of the movie industry. Journal of Retailing, 84 (2), 233-242. [https://doi.org/10.1016/j.jretai.2008.04.005]
  • Elberse, A., and Eliashberg, J. (2003). Demand and supply dynamics for sequentially released products in international markets: The case of motion pictures. Marketing Science, 22 (3), 329-354. [https://doi.org/10.1287/mksc.22.3.329.17740]
  • Engel, J. E., Blackwell, R. D., and Miniard, P. W. (2005). Consumer Behavior, 10. Aufl. New York.
  • Fang, E., Palmatier, R. W., and Grewal, R. (2011). Effects of customer and innovation asset configuration strategies on firm performance. Journal of Marketing Research, 48(3), 587-602. [https://doi.org/10.1509/jmkr.48.3.587]
  • Feng, J., and Papatla, P. (2011). Advertising: stimulant or suppressant of online word of mouth?. Journal of Interactive Marketing, 25(2), 75-84. [https://doi.org/10.1016/j.intmar.2010.11.002]
  • Fiske, S. T., and Taylor, S. E. (2013). Social cognition: From brains to culture. Sage. [https://doi.org/10.4135/9781446286395]
  • Godes, D., and Mayzlin, D. (2004). Using online conversations to study word-of-mouth communication. Marketing Science, 23(4), 545-560. [https://doi.org/10.1287/mksc.1040.0071]
  • Goldsmith, R. E., and Horowitz, D. (2006). Measuring motivations for online opinion seeking. Journal of Interactive Advertising, 6(2), 2-14. [https://doi.org/10.1080/15252019.2006.10722114]
  • Gopinath, S., Chintagunta, P. K., and Venkataraman, S. (2013). Blogs, advertising, and local-market movie box office performance. Management Science, 59(12), 2635-2654. [https://doi.org/10.1287/mnsc.2013.1732]
  • Gu, B., Tang, Q., and Whinston, A. B. (2013). The influence of online word-of-mouth on long tail formation. Decision Support Systems, 56, 474-481. [https://doi.org/10.1016/j.dss.2012.11.004]
  • Hennig-Thurau, T., Gwinner, K. P., Walsh, G., and Gremler, D. D. (2004). Electronic word-of-mouth via consumer-opinion platforms: what motivates consumers to articulate themselves on the internet?. Journal of Interactive Marketing, 18(1), 38-52. [https://doi.org/10.1002/dir.10073]
  • Hennig-Thurau, T., Malthouse, E. C., Friege, C., Gensler, S., Lobschat, L., Rangaswamy, A., and Skiera, B. (2010). The impact of new media on customer relationships. Journal of Service Research, 13(3), 311-330. [https://doi.org/10.1177/1094670510375460]
  • Hennig-Thurau, T., Wiertz, C., and Feldhaus, F. (2015). Does Twitter matter? The impact of microblogging word of mouth on consumers’ adoption of new movies. Journal of the Academy of Marketing Science, 43(3), 375-394. [https://doi.org/10.1007/s11747-014-0388-3]
  • Ho-Dac, N. N., Carson, S. J., and Moore, W. L. (2013). The effects of positive and negative online customer reviews: do brand strength and category maturity matter?. Journal of Marketing, 77(6), 37-53. [https://doi.org/10.1509/jm.11.0011]
  • Jabr, W., and Zheng, E. (2014). Know yourself and know your enemy: An analysis of firm recommendations and consumer reviews in a competitive environment. MIS Quarterly Vol. 38 No. 3, pp. 635-654. [https://doi.org/10.25300/MISQ/2014/38.3.01]
  • Jiang, B. J., and Wang, B. (2008). Impact of consumer reviews and ratings on sales, prices, and profits: theory and evidence. ICIS 2008 Proceedings, 141.
  • Karniouchina, E. V. (2011). Impact of star and movie buzz on motion picture distribution and box office revenue. International Journal of Research in Marketing, 28(1), 62-74. [https://doi.org/10.1016/j.ijresmar.2010.10.001]
  • Kim, Y. J., and Hollingshead, A. B. (2015). Online social influence: Past, present, and future. Annals of the International Communication Association, 39(1), 163-192. [https://doi.org/10.1080/23808985.2015.11679175]
  • Lee, E. J., and Shin, S. Y. (2014). When do consumers buy online product reviews? Effects of review quality, product type, and reviewer’s photo. Computers in Human Behavior, 31, 356-366. [https://doi.org/10.1016/j.chb.2013.10.050]
  • Liu, A. X., Steenkamp, J. B. E., and Zhang, J. (2018). Agglomeration as a Driver of the Volume of Electronic Word of Mouth in the Restaurant Industry. Journal of Marketing Research. [https://doi.org/10.1509/jmr.16.0182]
  • Li, X., and Hitt, L. M. (2008). Self-selection and information role of online product reviews. Information Systems Research, 19(4), 456-474. [https://doi.org/10.1287/isre.1070.0154]
  • Liu, Y. (2006). Word of mouth for movies: Its dynamics and impact on box office revenue. Journal of Marketing, 70(3), 74-89. [https://doi.org/10.1509/jmkg.70.3.074]
  • Lovett, M. J., Peres, R., and Shachar, R. (2013). On brands and word of mouth. Journal of Marketing Research, 50(4), 427-444. [https://doi.org/10.1509/jmr.11.0458]
  • Maimaran, M., and Simonson, I. (2011). Multiple routes to self-versus other-expression in consumer choice. Journal of Marketing Research, 48(4), 755-766. [https://doi.org/10.1509/jmkr.48.4.755]
  • Money, R. B. (2004). Word-of-mouth promotion and switching behavior in Japanese and American business-to-business service clients. Journal of Business Research, 57(3), 297-305. [https://doi.org/10.1016/S0148-2963(01)00325-3]
  • Moon, S., Bergey, P. K., and Iacobucci, D. (2010). Dynamic effects among movie ratings, movie revenues, and viewer satisfaction. Journal of Marketing, 74(1), 108-121. [https://doi.org/10.1509/jmkg.74.1.108]
  • Nelson, P. (1975). The economic consequences of advertising. The Journal of Business, 48(2), 213-241. [https://doi.org/10.1086/295737]
  • Nielson, A. C. (2015). Trust in advertising: A global Nielsen consumer report. Nielsen Media Research, New York.
  • Olshavsky, R. W., and Granbois, D. H. (1979). Consumer decision making—fact or fiction?. Journal of Consumer Research, 6(2), 93-100. [https://doi.org/10.1086/208753]
  • Park, C., and Lee, T. M. (2009). Information direction, website reputation and eWOM effect: A moderating role of product type. Journal of Business Research, 62(1), 61-67. [https://doi.org/10.1016/j.jbusres.2007.11.017]
  • Petty, R. E., and Cacioppo, J. T. (1986). The elaboration likelihood model of persuasion. In Communication and persuasion (pp. 1-24). Springer, New York, NY. [https://doi.org/10.1007/978-1-4612-4964-1_1]
  • Rui, H., Liu, Y., and Whinston, A. (2013). Whose and what chatter matters? The effect of tweets on movie sales. Decision Support Systems, 55(4), 863-870. [https://doi.org/10.1016/j.dss.2012.12.022]
  • Sawhney, M. S., and Eliashberg, J. (1996). A parsimonious model for forecasting gross box-office revenues of motion pictures. Marketing Science, 15(2), 113-131. [https://doi.org/10.1287/mksc.15.2.113]
  • Schumann, J. H., v. Wangenheim, F., Stringfellow, A., Yang, Z., Blazevic, V., Praxmarer, S., ... and Jiménez, F. R. (2010). Cross-cultural differences in the effect of received word-of-mouth referral in relational service exchange. Journal of International Marketing, 18(3), 62-80. [https://doi.org/10.1509/jimk.18.3.62]
  • Smith, S. M., and Petty, R. E. (1996). Message framing and persuasion: A message processing analysis. Personality and Social Psychology Bulletin, 22(3), 257-268. [https://doi.org/10.1177/0146167296223004]
  • Sun, M. (2012). How does the variance of product ratings matter?. Management Science, 58 (4), 696-707. [https://doi.org/10.1287/mnsc.1110.1458]
  • Sundaram, D. S., Mitra, K., and Webster, C. (1998). Word-of-mouth communications: A motivational analysis. ACR North American Advances.
  • Tirunillai, S., and Tellis, G. J. (2012). Does chatter really matter? Dynamics of user-generated content and stock performance. Marketing Science, 31(2), 198-215. [https://doi.org/10.1287/mksc.1110.0682]
  • Tormala, Z. L., and DeSensi, V. L. (2008). The perceived informational basis of attitudes: Implications for subjective ambivalence. Personality and Social Psychology Bulletin, 34(2), 275-287. [https://doi.org/10.1177/0146167207310029]
  • Wang, F., Liu, X., and Fang, E. E. (2015). User reviews variance, critic reviews variance, and product sales: An exploration of customer breadth and depth effects. Journal of Retailing, 91(3), 372-389. [https://doi.org/10.1016/j.jretai.2015.04.007]
  • Yang, J., Kim, W., Amblee, N., and Jeong, J. (2012). The heterogeneous effect of WOM on product sales: why the effect of WOM valence is mixed?. European Journal of Marketing, 46 (11/12), 1523-1538. [https://doi.org/10.1108/03090561211259961]
  • Zajonc, R. B. (1971). Attraction, affiliation, and attachment. Man and beast: Comparative Social Behavior, 141-179.
  • Zhang, J. (2006). The roles of players and reputation: evidence from eBay online auctions. Decision Support Systems, 42(3), 1800-1818. [https://doi.org/10.1016/j.dss.2006.03.008]
  • Zhang, X. X. M. (2006). Tapping into the pulse of the market: Essays on marketing implications of information flows (Doctoral dissertation, Massachusetts Institute of Technology).
  • Zhu, F., and Zhang, X. (2010). Impact of online consumer reviews on sales: The moderating role of product and consumer characteristics. Journal of Marketing, 74(2), 133-148. [https://doi.org/10.1509/jm.74.2.133]

• 저자 이중원은 고려대학교 디지털경영학과에서 e-비즈니스 전공으로 석사학위를 취득하였으며, 현재 고려대학교 기업경영학과 박사과정에 재학 중이다. 주요 관심분야는 E-Commerce, 온라인구전, 모바일마케팅 등이며, 한국IT서비스학회와 한국상품학회에서 우수발표논문상을 수상하였다.

• 저자 박철은 고려대학교 융합경영학부 교수로 재직하고 있으며, 서울대학교에서 경제학사, 동 대학원에서 경영학석사, 경영학박사 학위를 받았다. 미국 Vanderbilt University와 University of Hawaii에서 Visiting Scholar, 몽골 Mongolia International University와 중국 제남대학에서 Visiting Professor로 활동하였다. Journal of Interactive Marketing, Journal of Business Research, Industrial Marketing Management, International Marketing Review, 경영학연구, 마케팅연구, 소비자학연구 등에 논문을 게재하였다. 연구분야는 디지털환경에서의 고객행동 및 마케팅이다.