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- P-ISSN1738-3110
- E-ISSN2093-7717
- SCOPUS, ESCI
ISSN : 1738-3110
The Impact of Initial eWOM Growth on the Sales in Movie Distribution
Abstract
Purpose - The volume and valence of online word-of-mouth(eWOM) have become an important part of the retailer's market success for a wide range of products. This study aims to investigate how the growth of eWOM has generated the product's final financial outcomes in the introductory period influences. Research design, data, and methodology - This study uses weekly box office performance for 117 movies released in the South Korea from July 2015 to June 2016 using Korean Film Council(KOFIC) database. 292,371 posted online review messages were collected from NAVER movie review bulletin board. Using regression analysis, we test whether eWOM incurred during the opening week is valuable to explain the last of box office performance. Three major eWOM metrics were considered after controlling for the major distributional factors. Results - Results support that major eWOM variables play a significant role in box-office outcome prediction. Especially, the growth rate of the positive eWOM volume has a significant effect on the growth potential in sales. Conclusions - The findings highlight that the speed of eWOM growth has an informational value to understand the market reaction to a new product beyond valence and volume. Movie distributors need to take positive online eWOM growth into account to make optimal screen allocation decisions after release.
- keywords
- eWOM, Online Product Review, Growth Rate of eWOM, Movie Distribution
Reference
Archak, N., Ghose, A., & Ipeirotis, P. G. (2011). Deriving the pricing power of product features by mining consumer reviews. Management Science, 57(8), 1485-1509.
Banerjee, A. V. (1992). A simple model of herd behavior. The Quarterly Journal of Economics, 107(3), 797-817.
Bayus, B. L. (1985). Word of mouth-the indirect effects of marketing efforts. Journal of Advertising Research, 25(3), 31-39.
Chevalier, J. A., & Mayzlin, D. (2006). The effect of word of mouth on sales: Online book reviews. Journal of marketing research, 43(3), 345-354.
Chintagunta, P. K., Gopinath, S., & 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.
Dellarocas, C. (2003). The digitization of word of mouth:Promise and challenges of online feedback mechanisms. Management Science, 49(10), 1407-1424.
Dellarocas, C., Zhang, X. M., & 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.
Duan, W., Gu, B., & Whinston, A. B. (2008). Do online reviews matter? - An empirical investigation of panel data. Decision Support Systems, 45(4), 1007-1016.
Elberse, A., & 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.
Faber, R. J., & O'Guinn, T. C. (1984). Effect of media advertising and other sources on movie selection. Journalism Quarterly, 61(2), 371-377.
Godes, D., & Mayzlin, D. (2004). Using online conversations to study word-of-mouth communication. Marketing Science, 23(4), 545-560.
Hsu, L., & Lawrence, B. (2016). The role of social media and brand equity during a product recall crisis: A shareholder value perspective. International Journal of Research in Marketing, 33(1), 59-77.
Hu, N., Zhang, J., & Pavlou, P. A. (2009). Overcoming the J-shaped distribution of product reviews. Communications of the ACM, 52(10), 144-147.
Lee, J. H., Wu, R., & Fan, L. (2017). Influence on the use intention of user’s traits in China market. East Asian Journal of Business Management, 7(2), 21-29.
Li, X., & Hitt, L. M. (2008). Self-selection and information role of online product reviews. Information Systems Research, 19(4), 456-474.
Liu, Y. (2006). Word of mouth for movies: Its dynamics and impact on box office revenue. Journal of Marketing, 70(3), 74-89.
Love, I. (2003). Financial development and financing constraints: International evidence from the structural investment model. The Review of Financial Studies, 16(3), 765-791.
Love, I., & Zicchino, L. (2006). Financial development and dynamic investment behavior: Evidence from panel VAR. The Quarterly Review of Economics and Finance, 46(2), 190-210.
Moon, S., Park, Y., & Seog Kim, Y. (2014). The impact of text product reviews on sales. European Journal of Marketing, 48(11/12), 2176-2197.
Neelamegham, R., & Chintagunta, P. (1999). A Bayesian model to forecast new product performance in domestic and international markets. Marketing Science, 18(2), 115-136.
Neelamegham, R., & Jain, D. (1999). Consumer choice process for experience goods: An econometric model and analysis. Journal of Marketing Research, 36(3), 373-386.
Oluwafemi, A. S., & Dastane, O. (2016). The impact of word of mouth on customer perceived value for the malaysian restaurant industry. East Asian Journal of Business Management, 6(3), 21-31.
Shen, D., Richards, J., & Liu, F. (2013). Consumers’awareness of sustainable fashion. Marketing Management Journal, 23(2), 134-147.
Sthapit, A., Jo, G. Y., & Hwang, Y. Y. (2016). Construal levels and online shopping: antecedents of visits to and purchases from online retailers’ websites. The Journal of Industrial Distribution & Business, 7(3), 19-25.
Sundaram, D. S., Mitra, K., & Webster, C. (1998). Word-of-mouth communications: A motivational analysis. Advances in Consumer Research, 25, 527-531.
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