Variabel Moderasi dalam Preferensi Konsumen Film Indonesia

Nur Hadiyazid Rachman

Abstract


On various international film festival, it is not uncommon indonesian movie prestigious receives the award. But, Indonesian movies have not been able to be a master in their own homes  to lack of appreciation. The indonesian movie number of spectators not comparable with the audience foreign film. As the product of industrial, film need marketing, in an unconventional manner the film industry of the need a network of a movie theater.The purpose of this research are: the first, to analyzing the factors that influence preference of consumers the indonesian movie viewing of the decision in a movie theater. Second, to know variable moderation is that influence preference of consumers the indonesian movie viewing of the decision in a movie theater. Third, to know the interaction of factors variable moderation and an explanatory variable that influence preference of consumers the indonesian movies viewing of the decision in a movie theater.Based on the analysis of SEM-PLS be concluded that: the first, variable that influence the indonesian movie viewing decision are the product, promotion, and the age of the audience. Second, the gender variable only can be used as it pure-moderation. Third, variable the age of the audience can be used as an explanatory variable and variable moderation simultaneously in analysis (quasi-moderation).

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References


Badan Ekonomi Kreatif (Bekraf). 2019. Pemandangan umum industri film Indonesia, Jakarta.

Batat, W. dan Markus Wohlfeil. (2009). Getting lost “Into the Wild”: Understanding consumers’ movie enjoyment through a narrative transportation approach. Advances in Consumer Research, 36: 372-377.

Chisholm, DC., dan George Norman. (2007). Spatial competition and agglomeration: An application to motion pictures. Working Paper, Suffolk University, Boston, MA, USA.

Corniani, Margherita. (2001). Product placement and brand equity. SYMPHONYA. Emerging Issues in Management. No. 1: 66-82.

Davis, Peter. (2001). Spatial competition in retail markets: Movie theaters. Working Paper, MIT Sloan, Cambridge, MA, USA.

Desai, K. K., dan Suman Basuroy. (2005). Interactive influence of genre familiarity, star power, and critics’ reviews in the cultural goods industry: The case of motion pictures. Psychology & Marketing, 22 (3): 203–223.

Eliashberg, J., et al. (2009). Demand-driven scheduling of movies in multiplex. International Journal of Research in Marketing, 26: 75-88.

Herlina S, Dyna. (2012). Identifying key factors affecting consumer decision making behavior in cinema context: A mix method approach. The 2012 International Conference on Contemporary Business and Management (ICOM2012), 10-12 December 2012, Bangkok, Thailand.

Kerrigan, Finola. 2010. Film Marketing. Oxford, UK: Elsevier.

Krisnanto, U. (2019). Millennials perception to high class cinema CGV Jakarta, International Journal of Mechanical Engineering and Technology, 10 (5): 417-427.

Maddodi, S., et al. (2019). NETFLIX bigdata analytics-the emergence of data driven recommendation. International Journal of Case Studies in Business, 3 (2): 41-51.

Mehta, Apoorva. (2019). How cinema theatres are redefining consumer experience. ETBrandEquity, (July 17), diakses 3 Maret 2020.

Mohammadian, M., and Elham Sezavar Habibi. (2012). The impact of marketing mix on attracting audiences to the cinema. International Business and Management, 5 (1): 99-106.

Roosy, N., and Jordi McKenziez. (2010). Cheap tuesdays and the demand for cinema. Working Paper, Sydney University, Sidney, Australia.

Saad, G. and Gill, T. (2000), “Applications of evolutionary psychology in marketing”, Psychology & Marketing, 17: 1005-1034.

Schaaf, E.R. (2017). Innovative marketing strategies to increase the attendance to cinemas and the purchase of legal movies. Thesis. Erasmus School of Economics, Erasmus University, Rotterdam.

Schindebutte, M., M.H. Morris, and Akin Kocak. (2008). Understanding market-driving behavior: The role of entrepreneurship. Journal of Small Business Management, 46 (1): 4-26.

Steenburgh, T.J. (2008). The invariant proportion of substitution property (IPS) of discrete-choice models. Marketing Science, 27 (2): 300-307.

Sun, L., X. Zhai and H. Yang. (2020). Event marketing, Movie consumers’willingness and box

office revenue. Asia Pasific Journal of Marketing and Logistics, 33 (2): 624-648.

Terry, N., and De’Arno De’Armond. (2008). The determinants of movie rental revenue earning. Academy of Marketing Studies Journal, 12 (2): 35-47.

Ulker-Demirel, Elif., et al. (2018). Marketing and consumption of art products: the movie industry. Arts and the Market, 8 (1): 80-98.




DOI: http://dx.doi.org/10.31000/jmb.v10i2.4851

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