Abstract
Smartphones and mobile devices have been used as powerful and popular marketing tools. In fact, the mobile advertising market has seen swift growth. Traditionally, the mobile advertising has been recognized as mobile website advertising.
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References
Anderson, J. C., Gerbing, D. W. (1988). Structural equation modeling in practice: A review and recommended 2-step approach, Psychological Bulletin, 103(3), 411-423.
Arora, N., Dreze, X., Ghose, A., Hess, J. D., Iyengar, R., Jing, B., et al. (2008). Putting one-to-one marketing to work: Personalization, customization, and choice, Marketing Letters, 19(3-4), 305-321.
Awad, N. F., Krishnan, M. S. (2006). The personalization privacy paradox: An empirical evaluation of information transparency and the willingness to be profiled online for personalization, Mis Quarterly, 30(1), 13-28.
Bagozzi, R. P., Yi, Y. J. (1989). On the use of structural equation models in experimental-designs, Journal of Marketing Research, 26(3), 271-284.
Byrne, B. M. (2010). Structural equation modeling with AMOS: Basic concepts, applications, and programming (2nd ed.), New York: Routledge Academic.
Ministry of Internal Affairs and Communications (2015). Survey of household economy, Retrieved from http://www.stat.go.jp/info/guide/public/joukyou/pdf/net0306.pdf
Dabholkar, P. A., Bagozzi, R. P. (2002). An attitudinal model of technology-based self-service: Moderating effects of consumer traits and situational factors, Journal of the Academy of Marketing Science, 30(3), 184-201.
Davis, F. D., Bagozzi, R. P., Warshaw, P. R. (1989). User acceptance of computer-technology: A comparison of 2 theoretical-models, Management Science, 35(8), 982-1003.
Dickinger, A., Kleijnen, M. (2008). Coupons going wireless: Determinants of consumer intentions to redeem mobile coupons, Journal of Interactive Marketing, 22(3), 23-39.
Fornell, C., Larcker, D. F. 1981. Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research 18, no.1, 39-50.
Ha, S., Stoel, L. (2009). Consumer e-shopping acceptance: Antecedents in a technology acceptance model, Journal of Business Research, 62(5), 565-571.
Hair, J. F., Black, W. C., Babin, B. J., Anderson, R. E. (2009). Multivariate data analysis (7th ed.), New Jersey: Prentice Hall.
Malhotra, N. K., Kim, S. S., Agarwal, J. (2004). Internet users’ information privacy concerns (IUIPC): The construct, the scale, and a causal model, Information Systems Research, 15(4), 336-355.
Milberg, S. J., Smith, H. J., Burke, S. J. (2000). Information privacy: Corporate management and national regulation, Organization Science, 11(1), 35-57.
Nysveen, H., Pedersen, P. E., Thorbjornsen, H. (2005). Intentions to use mobile services: Antecedents and cross-service comparisons, Journal of the Academy of Marketing Science, 33(3), 330-346.
Okazaki, S., Barwise, P. (2011). Has the time finally come for the medium of the future?: Research on mobile advertising, Journal of Advertising Research, 51(1), 59-71.
Okazaki, S., Li, H. R., Hirose, M. (2009). Consumer privacy concerns and preference for degree of regulatory control: A study of mobile advertising in Japan, Journal of Advertising, 38(4), 63-77.
Perez, S. (2014). Mobile app usage increases in 2014, As Mobile Web Surfing Declines, Retrieved from http://techcrunch.com/2014/04/01/mobile-app-usage-increases-in-2014-as-mobile-web-surfing-declines/
Rose, E. A. (2006). An examination of the concern for information privacy in the New Zealand regulatory context, Information & Management, 43(3), 322-335.
Sheehan, K. B., Hoy, M. G. 2000. Dimensions of privacy concern among online consumers. Journal of Public Policy & Marketing 19, no.1, 62-73.
Smith, H. J., Dinev, T., Xu, H. (2011). Information privacy research: an interdisciplinary review. Mis Quarterly 35, no.4, 989-1015.
Statista. (2015). Mobile advertising spending worldwide from 2010 to 2017 (in billion U.S. dollars), Retrieved from http://www.statista.com/statistics/280640/mobile-advertising-spending-worldwide/
Stewart, K. A., Segars, A. H. (2002). An empirical examination of the concern for information privacy instrument, Information Systems Research, 13(1), 36-49.
Wolfinbarger, M., Gilly, M. C. (2003). eTailQ: Dimensionalizing, measuring and predicting etail quality, Journal of Retailing, 79(3), 183-198.
Wu, J. H., Wang, S. C. (2005). What drives mobile commerce?: An empirical evaluation of the revised technology acceptance model, Information & Management, 42(5), 719-729.
Xu, H., Luo, X., Carroll, J. M., Rosson, M. B. (2011). The personalization privacy paradox: An exploratory study of decision making process for location-aware marketing, Decision Support Systems, 51(1), 42-52.
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Hirose, M., Mineo, K., Tabe, K. (2017). The Influence of Personal Data Usage on Mobile Apps. In: Christodoulides, G., Stathopoulou, A., Eisend, M. (eds) Advances in Advertising Research (Vol. VII). European Advertising Academy. Springer Gabler, Wiesbaden. https://doi.org/10.1007/978-3-658-15220-8_9
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DOI: https://doi.org/10.1007/978-3-658-15220-8_9
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