Movie Choice under Joint Decision: Reassessment of Online WOM Effect
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This study describes consumers’ movie choices in conjunction with other group members and attempts to reassess the effect of the online word of mouth (WOM) source in a joint decision context. The tendency of many people to go to movies in groups has been mentioned in previous literature but there is no modeling research that studies movie choice from the group decision perspective. We found that ignoring the group movie-going perspective can result in a misunderstanding, especially underestimation of genre preference and the impact of the WOM variables. Most of the studies to measure online WOM effects were done at the aggregate level, and the role of online WOM variables(volume vs valence) is mixed in the literature. We postulate that group-level analysis might offer insight to resolve these mixed understanding of WOM effects in the literature. We implemented the study via a random effect model with group-level heterogeneity. Romance, drama, and action were selected as genre variables; valence and volume were selected as online WOM variables. A choice-based conjoint survey was used for data collection and the models was estimated via Bayesian MCMC method. The empirical results show that (i) both genre and online WOM are important variables when consumers choose movies, especially as group, and (ii) the WOM valence effect are amplified more than the volume effect does as individuals are engaged in group decision. This research contributes to the literature in several ways. First, we investigate movie choice from a group movie-going perspective that is more realistic and consistent with the market behavior. Secondly, the study sheds new light on the WOM effect. At group-level, both valence and volume significantly affect movie choices, which adds to the understanding of the role of online WOM in consumers’ movie choice.
Abstract
This study describes consumers’ movie choices in conjunction with other group members and attempts to reassess the effect of the online word of mouth (WOM) source in a joint decision context. The tendency of many people to go to movies in groups has been mentioned in previous literature but there is no modeling research that studies movie choice from the group decision perspective. We found that ignoring the group movie-going perspective can result in a misunderstanding, especially underestimation of genre preference and the impact of the WOM variables. Most of the studies to measure online WOM effects were done at the aggregate level, and the role of online WOM variables(volume vs valence) is mixed in the literature. We postulate that group-level analysis might offer insight to resolve these mixed understanding of WOM effects in the literature. We implemented the study via a random effect model with group-level heterogeneity. Romance, drama, and action were selected as genre variables; valence and volume were selected as online WOM variables. A choice-based conjoint survey was used for data collection and the models was estimated via Bayesian MCMC method. The empirical results show that (i) both genre and online WOM are important variables when consumers choose movies, especially as group, and (ii) the WOM valence effect are amplified more than the volume effect does as individuals are engaged in group decision. This research contributes to the literature in several ways. First, we investigate movie choice from a group movie-going perspective that is more realistic and consistent with the market behavior. Secondly, the study sheds new light on the WOM effect. At group-level, both valence and volume significantly affect movie choices, which adds to the understanding of the role of online WOM in consumers’ movie choice.
참고문헌 (28)
- Adamowicz, Wiktor, "Decision Strategy and Structure in Households: A “Groups” Perspective", Marketing Letters, 16(3), pp.387~399 (2005)
- Allenby, Greg M., "Marketing Models of Consumer Heterogeneity", Journal of Econometrics, 89, pp.57~78 (1999)
- Aribarg, Anocha, "Understanding the Role of Preference Revision and Concession in Group Decisions", Journal of Marketing Research, 39(3), pp.336~349 (2002)
- Aribarg, Anocha, "Predicting Joint Choice using Individual Data", Marketing Science, 29(1), pp.139~157 (2010)
- Arora, Neeraji, "Estimating Joint Preference: A Sub-sampling Approach", International Journal of Research in Marketing, 23, pp.409~418 (2006)
- Arora, Neeraj, "Measuring the Influence of Individual Preference Structures in Group Decision Making", Journal of Marketing Research, 36(4), pp.476~487 (1999)
- 배정호, "온라인 구전과 영화 매출 간 상호영향에 관한 연구: 한국 영화 산업을 중심으로", 아시아마케팅저널, 12(2), pp.1~25 (2010), 한국마케팅학회
- Beatty, Sharon E., "External Search Effort: an Investigation across Several Product Categories", Journal of Consumer Research, 14(1), pp.83~95 (1987)
- Burns, Alvin C., "Factors Moderating the Resolution of Preference Conflict in Family Automobile Purchasing", Journal of Marketing Research, 14, pp.77~86 (1977)
- Chintagunta, Pradeep K., "The Effects of Online User Reviews on Movie Box Office Performance: Accounting for Sequential Rollout and Aggregation Across Local Markets", Marketing Science, 1~14 (2010)
- Corfman, K. P., "Longitudinal Patterns of Group Decisions: An Exploratory Analysis", Multivariate Behavioral Research, 25, pp.249~273 (1990)
- Cunningham, S.M., "The major dimensions of perceived risk, In Risk Taking and Information Handling in Consumer Behavior", pp.82~108 (1967), Harvard University Press
- De silva, Indra, "Consumer Selection of Motion Pictures, In The Motion Picture Mega Industry" (1998), Allyn and Bacon Publishing Inc
- Dellarocas, Chrysanthos, "Exploring the Value of Online Product Reviews in Forecasting Sales: The Case of Motion Pictures", Journal of Interactive Marketing, 21(4), pp.23~45 (2007)
- DeSarbo, Wayne S., "A Gravity-based Multidimensional Scaling Model for Deriving Spatial Structures Underlying Consumer Preference", Choice Judgments, 2002, pp.29(1), 91~100
- Duan, Wenjing, "Do online reviews matter? – An Empirical Investigation of Panel Data", Decision Support Systems, 45, pp.1007~1016 (2008)
- Duan, Wenjing, "The Dynamics of Online Wordof- mouth and Product Sales-An Empirical Investigation of the Motion Picture Industry", Journal of Retailing, 84, pp.233~242 (2008)
- Eliashberg, Jehoshua, "The motion picture industry: Critical issues in practice, current research, and new research directions", Marketing Science, 25(6), pp.638~661 (2006)
- Gelman, Andrew, "Bayesian data analysis" (2004), Chapman & Hall
- Hartmann, Wesley, "Demand Estimation with Social Interactions and the Implications for Targeted Marketing", Marketing Science, 29(4), pp.585~601 (2010)
- Liu, Yong, "WOM for Movies: Its Dynamics and Impact on Box Office Receipts", Journal of Marketing, 70(3), pp.74~89 (2006)
- Rao, Vithala R., "A Polarization Model for Describing Group Preferences", Journal of Consumer Research, 18, pp.108~118 (1991)
- Rossi, Peter, "Bayesian Statistics and Marketing" (2005), John Wiley & Sons Ltd
- Steckel, Joel H, "Prospects and Problems in Modeling Group Decisions", Marketing Letters, pp.231~240 (1991)
- Taylor, J.W., "The Role of Risk in Consumer Behavior", Journal of Marketing, 38(2), pp.54~60 (1974)
- Weinberg, Charles. B, "Profits out of the picture: Research issues and revenue sources beyond The North American box office, In A Concise Handbook of Movie Industry Economic", pp.163~203 (2005), Cambridge University Press
- Zajonc, Robert B., "Individual and Group Risk-Taking in a Two Choice Situation", Journal of Experimental Social Psychology, 4, pp.89~106 (1968)
- Zang, Junyi, "Modeling Household Discrete Choice Behavior Incorporating Heterogeneous Group Decision- Making Mechanisms", Transportation Research Part B, 43, pp.230~250 (2009)
