An Mediated Effect Analysis of Purchasing Intention Under Social Media——from the Chinese Motion Industry
International Journal of Economics, Finance and Management Sciences
Volume 6, Issue 3, June 2018, Pages: 124-132
Received: Jun. 19, 2018;
Published: Jun. 20, 2018
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Yu Liu, School of Information Technology & Management, University of International Business and Economics, Beijing, China
Li Zhang, School of Information Technology & Management, University of International Business and Economics, Beijing, China
Shu-Yan Cao, School of Information Technology & Management, University of International Business and Economics, Beijing, China
In recent years, with the development of online social media and motion industry, online social media has more and more influence on movie marketing. How to improve consumers' purchase intention and purchase behavior through social media has been becoming a research hotspot among the scholars. Based on the Chinese market movie data from the product information, marketing interactive information, internet word-of-mouth, respectively, to verify the intermediary role of purchase intention, and then put forward the corresponding film marketing strategies according to the empirical results. The results showed that there was significantly positively correlated between the online word-of-mouth, marketing interactive information and purchase intention, among which the number of comments and topics had the greatest influence on purchase intention. In addition, the purchase intention could significantly affect the purchase behavior, verifying the purchase intention played a partial intermediary role in the overall consumption decision.
An Mediated Effect Analysis of Purchasing Intention Under Social Media——from the Chinese Motion Industry, International Journal of Economics, Finance and Management Sciences.
Vol. 6, No. 3,
2018, pp. 124-132.
M Li, & C Wang. (2017). Explore the Influencing Factors of Socialized Media Characteristics on the Willingness to Pay. China Business and Market, 31 (8), 75-83.
Jiao, F., & Zhong, Y. (2015). What Factors Affect Purchase Intention in Social Commerce: Based on Strong and Weak Relationship Theory. Management Review, 27(12), 99-109.
Jin, Z. (2015). Research on the effects of micro-blog marketing on consumers' willingness to buy. China Business & Market.
Zhou, M. H., Li, P. M., & Mou, Y. P. (2015). Effects of online reviews on purchase intention of consumers—the mediation of psychological distance. Soft Science, 29(1), 101-104.
Liye, Z., Denghua, Y., & Jingyi, Z. (2017). The Impact of Online User Reviews Quality and Commentators Rank on Consumer Purchasing Intention——The Moderating Role of Product Involvement. Management Review, 2009.
Niu, G., Li, G., Geng, X., Zhou, Z., Tian, Y., & Lian, S. (2016). The impact of online reviews' quality and quantity on online purchasing intention: the moderating effect of need for cognition. Journal of Psychological Science.
Zheng, C., Han, Q., & Wang, H. (2015). How do paid posters' comments affect your purchase intention. Nankai Business Review.
Mullet, E. (1992). The probability + utility rule in attractiveness judgments of positive gambles ☆. Organizational Behavior & Human Decision Processes, 52(2), 246-255.
Ajzen, I., & Fishbein, M. (1970). The prediction of behavior from attitudinal and normative variables. Journal of experimental Social Psychology, 6(4), 466-487.
J Wei, & Ying Zhang (2002). On the Perceived Mechanism of Advertising Information Drive. Journal of Zhejiang University (Humanities and Social Sciences), 32 (2), 126-130
B Zhang, Z Huang, & X Wen.(2014). Marketing Incentives, Psychological Reactions and Intentions and Behaviors of Purchase of Organic Vegetable Consumers - An Empirical Analysis Based on Ordered Logistic Regression Model. Journal of Agrotechnical (2), 47-56.
J Bi. (2009). An Empirical Study on Internet Word of Mouth Affecting Consumer Purchase Intention. Journal of Intelligence, 28 (11), 46-51.
W Zuo, X Wang, & C Fan. (2014). Relationship between Electronic Word of Mouth and Purchase Intention in Social Commerce Environment: A Social Capital Perspective. Nankai Business Review, 17 (4), 140-150.
X Du, J Ding, Z Xie, & L Lei. (2016). An Empirical Study on the Impact of Online Reviews on Consumers’ Purchasing Intention. Management Review, 28 (3), 173-183.
S. Abraham Ravid, & Basuroy, S. (2004). Managerial objectives, the r‐rating puzzle, and the production of violent films. Journal of Business, 7(S2), S155-S192.
scott & Sochay. (1994). Predicting the performance of motion pictures. Journal of Media Economics, 7(4), 1-20.
Sonja Radas, & Steven M. Shugan. (1998). Seasonal mar-keting and timing new product introductions. Journal of Marketing Research, 35(3), 296-315.
Prag, J., & Casavant, J. (1994). An empirical study of determinants of revenues and marketing expenditures in the motion picture industry. Journal of Cultural Economics, 18(3), 217-235.
Chang, Basuroy, S., Chatterjee, S., & Ravid, S. A. (2003). How critical are critical reviews? the box office effects of film critics, star power, and budgets. Journal of Marketing, 67(4), 103-117.
X Wu.(2008). Behind the bright stars - perspective of Chinese pop stars. Contemporary Cinema (5), 120-121.
X Hu, Bo Li, & Z Wu. (2013). The Analysis of the Factors Which Influence Film box office. Journal of Communication University of China (Natural Science Edition) Natural Science Edition, 20 (1), 62-67.
K Guo. (2016). Research on Inter-Relationship among Online Review, Number of Screens and Box Office Revenue. Journal of Guangxi Normal University (Philosophy and Social Sciences Edition), 52 (6), 46-53.
Y Hao, P Zou, Y Li, & Q Ye. (2009). An Empirical Study on the Impact of Online Reviews Sentimental Orientation on Sale Based on Movie Panel Data. Management Review, 21 (10), 95-103.
Z Liu. (2016). Online Evaluation, Film Heterogeneity and Box Office Revenue - Based on 177 Domestic Movies Data from 2014 to 2015. Film Art (3), 68-72.
Y Zhong. (2017) Research on Evaluation Model of Copyright Asset Based on Machine Learning. Shanghai Economic Research (6).
Shugan, S., & Swait, J. (2009). Enabling movie design and cumulative box office predictions using historical data and consumer intent-to-view. University of Florida.
L Wang, & J Jia. (2014). Forecasting box office performance based on online Search: Evidence from Chinese movie industry. Systems Engineering Theory and Practice, 34 (12), 3079-3090.
C Sun, & Y Liu. (2017). The Effects of Online Pre-launch Movie Trailers on the Box Office Revenue- Based on Text Sentiment Analysis Method. Chinese Journal of Management Science (10).
S. Abraham Ravid, & Basuroy, S. (2004). Managerial objectives, the r‐rating puzzle, and the production of violent films. Journal of Business, 77(S2), S155-S192.
Ridings, C. M., Gefen, D., & Arinze, B. (2002). Some antecedents and effects of trust in virtual communities. Journal of Strategic Information Systems, 11(3–4), 271-295.
Herr, P. M., Kardes, F. R., & Kim, J. (1991). Effects of word-of-mouth and product-attribute information on persuasion: an accessibility-diagnosticity perspective. Journal of Consumer Research, 17(4), 454-462.
Chatterjee, P. (2006). Online reviews: do consumers use them?. Advances in Consumer Research, 28.