參考文獻 |
英文參考文獻
[1]. Agarwal, R., & Prasad, J. (1998). A conceptual and operational definition of personal
innovativeness in the domain of information technology. Information Systems Research, 9(2),
204-215.
[2]. Aguirre, E., Mahr, D., Grewal, D., de Ruyter, K., & Wetzels, M. (2015). Unraveling the
personalization paradox: The effect of information collection and trust-building strategies on
online advertisement effectiveness. Journal of Retailing, 91(1), 34-49.
[3]. Aguirre, E., Roggeveen, A. L., Grewal, D., & Wetzels, M. (2016). The personalization-privacy
paradox: implications for new media. Journal of Consumer Marketing, 33(2), 98-110.
[4]. Altuna, O. K., & Konuk, F. A. (2009). Understanding consumer attitudes toward mobile
advertising and its impact on consumers′ behavioral intentions: A cross-market comparison of
United States and Turkish consumers. International Journal of Mobile Marketing, 4(2), 43-51.
[5]. Andrews, M., Goehring, J., Hui, S., Pancras, J., & Thornswood, L. (2016). Mobile promotions:
A framework and research priorities. Journal of Interactive Marketing, 34, 15-24.
[6]. Ansari, A., & Mela, C. F. (2003). E-customization. Journal of Marketing Research, 40(2), 131-
145.
[7]. Basheer, A. A. A., & Ibrahim, A. A. (2010). Mobile marketing: Examining the impact of trust,
privacy concern and consumers′ attitudes on intention to purchase. International Journal of
Business and Management, 5(3), 28.
[8]. Bauer, H. H., Reichardt, T., Barnes, S. J., & Neumann, M. M. (2005). Driving consumer
acceptance of mobile marketing: A theoretical framework and empirical study. Journal of
Electronic Commerce Research, 6(3), 181.
[9]. Bleier, A., & Eisenbeiss, M. (2015). The importance of trust for personalized online
advertising. Journal of Retailing, 91(3), 390-409.
[10]. Brehm, J. W. (1966). A theory of psychological reactance. Academic Press, New York.
[11]. Bruner, G. C., & Kumar, A. (2007). Attitude toward location-based advertising. Journal of Interactive Advertising, 7(2), 3-15.
[12]. Chau, P. Y. (1996). An empirical assessment of a modified technology acceptance
model. Journal of Management Information Systems, 13(2), 185-204.
[13]. Chen, J. V., Ross, W., & Huang, S. F. (2008). Privacy, trust, and justice considerations for
location-based mobile telecommunication services. Info: Journal of Policy, Regulation and
Strategy for Telecommunications, Information and Media, 10(4), 30-45.
[14]. Chen, L. D. (2008). A model of consumer acceptance of mobile payment. International Journal
of Mobile Communications, 6(1), 32-52.
[15]. Chernev, A. (2003). When more is less and less is more: The role of ideal point availability
and assortment in consumer choice. Journal of Consumer Research, 30(2), 170-183.
[16]. Cho, Chang-Hoan and Hongsik, J. Cheon (2004). “Why Do People Avoid Advertising on the
Internet,” Journal of Advertising, 33 (4): 89-97.
[17]. Criteo (2015), “All Testimonials,” (accessed February 26, 2015), [available at
http://www.criteo.com/case-studies/].
[18]. Ducoffe, R. H. (1995). How consumers assess the value of advertising. Journal of Current
Issues & Research in Advertising, 17(1), 1-18.
[19]. Ducoffe, R. H., & Curlo, E. (2000). Advertising value and advertising processing. Journal of
Marketing Communications, 6(4), 247-262.
[20]. Duff, B. R., & Faber, R. J. (2011). Missing the mark. Journal of Advertising, 40(2), 51-62.
[21]. Edwards, S. M., Li, H., & Lee, J. H. (2002). Forced exposure and psychological reactance:
Antecedents and consequences of the perceived intrusiveness of pop-up ads. Journal of
Advertising, 31(3), 83-95.
[22]. eMarketer (2014a), “Marketers Respond to Consumer Demand for Personali- zation,”
(accessed February 2, 2015), [available at http://www.emarketer. com/Article/Marketers-
Respond-Consumer-Demand-Personalization/ 1010618].
[23]. Featherman, M. S., & Pavlou, P. A. (2003). Predicting e-services adoption: a perceived risk
facets perspective. International Journal of Human-Computer Studies, 59(4), 451-474.
[24]. Feng, X., Fu, S., & Qin, J. (2016). Determinants of consumers’ attitudes toward mobile
advertising: The mediating roles of intrinsic and extrinsic motivations. Computers in Human Behavior, 63, 334-341.
[25]. Ferreira, J. B., da Rocha, A., & da Silva, J. F. (2014). Impacts of technology readiness on
emotions and cognition in Brazil. Journal of Business Research, 67(5), 865-873.
[26]. Gadzheva, M. (2007). Privacy concerns pertaining to location-based services. International
Journal of Intercultural Information Management, 1(1), 49-57.
[27]. Gefen, D., Karahanna, E., & Straub, D. W. (2003). Trust and TAM in online shopping: an
integrated model. MIS Quarterly, 27(1), 51-90.
[28]. Ghani, N. A., & Sidek, Z. M. (2009). Personal information privacy protection in e-
commerce. WSEAS Transactions on Information Science and Applications, 6(3), 407-416.
[29]. Goldfarb, A., & Tucker, C. (2011). Online display advertising: Targeting and
obtrusiveness. Marketing Science, 30(3), 389-404.
[30]. Guild, Bill (2013), “2013 Choicestream Survey: Consumer Opinions on Online Advertising &
Audience Targeting.” (accessed February 18, 2015), [available at
http://choicestream.com/2013 Staging/wp-content/uploads/ 2013/10/2013-Survey.pdf].
[31]. Häubl, G., & Trifts, V. (2000). Consumer decision making in online shopping environments:
The effects of interactive decision aids. Marketing Science, 19(1), 4-21.
[32]. Helft, M., & Vega, T. (2010). Retargeting ads follow surfers to other sites. The New York Times,
8-11.
[33]. Huang, R.Y. (2012). The identification, ranking and categorization of mobile marketing
success factors. International Journal of Mobile Marketing, 7(2), 86–97.
[34]. Hunter, A., Jacobsen, M., Talens, R., & Winders, T. (2010). When money moves to digital,
where should it go? identifying the right media-placement strategies for digital display. white
paper, comScore and ValueClick Media (September), (accessed June 19, 2013), [available
at www. recruemedia. com/downloads/comscore2010. pdf].
[35]. Iyengar, S. S., & Lepper, M. R. (2000). When choice is demotivating: Can one desire too much
of a good thing. Journal of Personality and Social Psychology, 79(6), 995.
[36]. Kalyanaraman, S., & Sundar, S. S. (2006). The psychological appeal of personalized content
in web portals: does customization affect attitudes and behavior. Journal of
Communication, 56(1), 110-132.
[37]. Kim, H. W., Chan, H. C., & Gupta, S. (2007). Value-based adoption of mobile internet: an
empirical investigation. Decision Support Systems, 43(1), 111-126.
[38]. Kim, Y. J., & Han, J. (2014). Why smartphone advertising attracts customers: A model of Web
advertising, flow, and personalization. Computers in Human Behavior, 33, 256-269.
[39]. King, N. J. (2008). When mobile phones are RFID-Equipped-finding EU-US solutions to
protect consumer privacy and facilitate mobile commerce. Michigan Telecommunications and
Technology Law Review, 15(1), 107.
[40]. King, W. R., & He, J. (2006). A meta-analysis of the technology acceptance
model. Information & Management, 43(6), 740-755.
[41]. Kleijnen, M., De Ruyter, K., & Wetzels, M. (2007). An assessment of value creation in mobile
service delivery and the moderating role of time consciousness. Journal of Retailing, 83(1),
33-46.
[42]. Köster, M., Rüth, M., Hamborg, K. C., & Kaspar, K. (2015). Effects of personalized banner
ads on visual attention and recognition memory. Applied Cognitive Psychology, 29(2), 181-
192.
[43]. Kreuter, M. W., & Wray, R. J. (2003). Tailored and targeted health communication: strategies
for enhancing information relevance. American Journal of Health Behavior, 27(1), S227-S232.
[44]. Lambrecht, A., & Tucker, C. (2013). When does retargeting work? Information specificity in
online advertising. Journal of Marketing Research, 50(5), 561-576.
[45]. Larivière, B., Joosten, H., Malthouse, E. C., van Birgelen, M., Aksoy, P., Kunz, W. H., & Huang,
M. H. (2013). Value fusion: the blending of consumer and firm value in the distinct context of
mobile technologies and social media. Journal of Service Management, 24(3), 268-293.
[46]. Lee, H. H., & Hill, J. T. (2013). Moderating effect of privacy self-efficacy on location-based
mobile marketing. International Journal of Mobile Communications, 11(4), 330-350.
[47]. Lee, J. M., & Rha, J. Y. (2016). Personalization–privacy paradox and consumer conflict with
the use of location-based mobile commerce. Computers in Human Behavior, 63, 453-462.
[48]. Lewis, W., Agarwal, R., & Sambamurthy, V. (2003). Sources of influence on beliefs about
information technology use: An empirical study of knowledge workers. MIS Quarterly, 657-
678.
[49]. Liljander, V., Gillberg, F., Gummerus, J., & Van Riel, A. (2006). Technology readiness and the evaluation and adoption of self-service technologies. Journal of Retailing and Consumer
Services, 13(3), 177-191.
[50]. Lin, C. H., Shih, H. Y., Sher, P. J., & Wang, Y. L. (2005). Consumer adoption of e-service:
Integrating technology readiness with the technology acceptance model. Proceedings of the
Technology Management: A Unifying Discipline for Melting the Boundaries. 31 July-4 Aug.
Taiwan: 483- 489.
[51]. Lin, J. S. C., & Chang, H. C. (2011). The role of technology readiness in self-service
technology acceptance. Managing Service Quality: An International Journal, 21(4), 424-444.
[52]. Lin, K. Y., & Lu, H. P. (2011). Why people use social networking sites: An empirical study
integrating network externalities and motivation theory. Computers in Human Behavior, 27(3),
1152-1161.
[53]. Lin, T. T., Paragas, F., & Bautista, J. R. (2016). Determinants of mobile consumers′ perceived
value of location-based advertising and user responses. International Journal of Mobile
Communications, 14(2), 99-117.
[54]. Malheiros, M., Jennett, C., Patel, S., Brostoff, S., & Sasse, M. A. (2012, May). Too close for
comfort: A study of the effectiveness and acceptability of rich-media personalized advertising.
In Proceedings of the SIGCHI conference on human factors in computing systems (pp. 579-
588). ACM.
[55]. Merisavo, M., Kajalo, S., Karjaluoto, H., Virtanen, V., Salmenkivi, S., Raulas, M., &
Leppäniemi, M. (2007). An empirical study of the drivers of consumer acceptance of mobile
advertising. Journal of Interactive Advertising, 7(2), 41-50.
[56]. Meuter, M. L., Ostrom, A. L., Bitner, M. J., & Roundtree, R. (2003). The influence of technology
anxiety on consumer use and experiences with self-service technologies. Journal of Business
Research, 56(11), 899-906.
[57]. Mick, D. G., & Fournier, S. (1998). Paradoxes of technology: Consumer cognizance, emotions,
and coping strategies. Journal of Consumer Research, 25(2), 123-143.
[58]. Montgomery, A. L., & Smith, M. D. (2009). Prospects for Personalization on the
Internet. Journal of Interactive Marketing, 23(2), 130-137.
[59]. Muk, A. (2007). Consumers’ intentions to opt in to SMS advertising: a cross-national study of
young Americans and Koreans. International Journal of Advertising, 26(2), 177-198.
[60]. Mukherjee, A., & Hoyer, W. D. (2001). The effect of novel attributes on product
evaluation. Journal of Consumer Research, 28(3), 462-472.
[61]. Mun, Y. Y., & Hwang, Y. (2003). Predicting the use of web-based information systems: self-
efficacy, enjoyment, learning goal orientation, and the technology acceptance
model. International Journal of Human-Computer Studies, 59(4), 431-449.
[62]. Murthi, B. P. S., & Sarkar, S. (2003). The role of the management sciences in research on
personalization. Management Science, 49(10), 1344-1362.
[63]. Okazaki, S., Katsukura, A., & Nishiyama, M. (2007). How mobile advertising works: The role
of trust in improving attitudes and recall. Journal of Advertising Research, 47(2), 165-178.
[64]. Okazaki, S., Li, H., & Hirose, M. (2009). Consumer privacy concerns and preference for
degree of regulatory control. Journal of Advertising, 38(4), 63-77.
[65]. Parasuraman, A. (2000). Technology Readiness Index (TRI) a multiple-item scale to measure
readiness to embrace new technologies. Journal of Service Research, 2(4), 307-320.
[66]. Pavlou, P. A., & Stewart, D. W. (2000). Measuring the effects and effectiveness of interactive
advertising: A research agenda. Journal of Interactive Advertising, 1(1), 61-77.
[67]. Peterson, T. (2013). eBay opens up its data for ad targeting--Follows lead of Amazon, Google
and Facebook. Adweek (April 8).
[68]. Phelps, J. E., D′Souza, G., & Nowak, G. J. (2001). Antecedents and consequences of
consumer privacy concerns: An empirical investigation. Journal of Interactive
Marketing, 15(4), 2-17.
[69]. Price, L. L., & Ridgway, N. M. (1983). Development of a scale to measure use
innovativeness. Advances in Consumer Research, 10, Richard P. Bagozzi and Alice Tybout,
eds. Ann Arbor, MI: Association for Consumer Research, 679–84.
[70]. Reeve, J. (1989). The interest-enjoyment distinction in intrinsic motivation. Motivation and
Emotion, 13(2), 83-103.
[71]. Sengupta, S. (2013). What you didn’t post, Facebook may still know. New York Times, (March
25).
[72]. Shankar, V., & Balasubramanian, S. (2009). Mobile marketing: a synthesis and
prognosis. Journal of Interactive Marketing, 23(2), 118-129.
[73]. Sheth, J. N., Newman, B. I., & Gross, B. L. (1991). Consumption values and market choices:
Theory and Applications, 16-74. Cincinnati: South-Western Publishing Company.
[74]. Shin, W., & Lin, T. T. C. (2016). Who avoids location-based advertising and why? Investigating
the relationship between user perceptions and advertising avoidance. Computers in Human
Behavior, 63, 444-452.
[75]. Simola, J., Kuisma, J., Öörni, A., Uusitalo, L., & Hyönä, J. (2011). The impact of salient
advertisements on reading and attention on web pages. Journal of Experimental Psychology:
Applied, 17(2), 174.
[76]. Sinkovics, R. R., Pezderka, N., & Haghirian, P. (2012). Determinants of consumer perceptions
toward mobile advertising—a comparison between Japan and Austria. Journal of Interactive
Marketing, 26(1), 21-32.
[77]. Sledgianowski, D., & Kulviwat, S. (2009). Using social network sites: The effects of
playfulness, critical mass and trust in a hedonic context. Journal of Computer Information
Systems, 49(4), 74-83.
[78]. Solano-Lorente, M., Martínez-Caro, E., & Cegarra-Navarro, J. G. (2013). Designing a
framework to develop eLoyalty for online healthcare services. Electronic Journal of
Knowledge Management, 11(1), 107-115.
[79]. Son, J. Y., & Kim, S. S. (2008). Internet users′ information privacy-protective responses: a
taxonomy and a nomological model. Mis Quarterly, 32(2), 503-529.
[80]. Son, M., & Han, K. (2011). Beyond the technology adoption: Technology readiness effects on
post-adoption behavior. Journal of Business Research, 64(11), 1178-1182.
[81]. Souza, R. V. D., & Luce, F. B. (2005). Avaliação da aplicabilidade do technology readiness
index (tri) para a adoção de produtos e serviços baseados em tecnologia. Revista de
Administração Contemporânea, 9(3), 121-141.
[82]. Sun, H. (2010). Sellers′ trust and continued use of online marketplaces. Journal of the
Association for Information Systems, 11(4), 182.
[83]. Sun, H., & Zhang, P. (2006). The role of moderating factors in user technology
acceptance. International Journal of Human-Computer Studies, 64(2), 53-78.
[84]. Sun, Y., Wang, N., Shen, X. L., & Zhang, J. X. (2015). Location information disclosure in location-based social network services: Privacy calculus, benefit structure, and gender
differences. Computers in Human Behavior, 52, 278-292.
[85]. Sundar, S. S. (2008a). The MAIN model: A heuristic approach to understanding technology
effects on credibility. In M. J. Metzger, & A. J. Flanagin (Eds.), Digital media, youth, and
credibility,72-100. Cambridge, MA: The MIT Press.
[86]. Sundar, S. S., & Marathe, S. S. (2010). Personalization versus customization: The importance
of agency, privacy, and power usage. Human Communication Research, 36(3), 298-322.
[87]. Tam, K. Y., & Ho, S. Y. (2005). Web personalization as a persuasion strategy: An elaboration
likelihood model perspective. Information Systems Research, 16(3), 271-291.
[88]. Tam, K. Y., & Ho, S. Y. (2006). Understanding the impact of web personalization on user
information processing and decision outcomes. MIS Quarterly, 865-890.
[89]. Teo, T. S., Lim, V. K., & Lai, R. Y. (1999). Intrinsic and extrinsic motivation in Internet
usage. Omega, 27(1), 25-37.
[90]. Tsang, M. M., Ho, S. C., & Liang, T. P. (2004). Consumer attitudes toward mobile advertising:
An empirical study. International Journal of Electronic Commerce, 8(3), 65-78.
[91]. Tucker, C. E. (2012). The economics of advertising and privacy. International Journal of
Industrial Organization, 30(3), 326-329.
[92]. Unni, R., & Harmon, R. (2007). Perceived effectiveness of push vs. pull mobile location based
advertising. Journal of Interactive Advertising, 7(2), 28-40.
[93]. Urban, G. L., Liberali, G., MacDonald, E., Bordley, R., & Hauser, J. R. (2013). Morphing
banner advertising. Marketing Science, 33(1), 27-46.
[94]. Van der Heijden, H. (2004). User acceptance of hedonic information systems. MIS Quarterly,
695-704.
[95]. Van Doorn, J., & Hoekstra, J. C. (2013). Customization of online advertising: The role of
intrusiveness. Marketing Letters, 24(4), 339-351.
[96]. Van Slyke, C., Shim, J. T., Johnson, R., and Jiang, J. (2006). Concern for information privacy
and online consumer purchasing. Journal of the Association for Information Systems, 7(6),
415-444.
[97]. Venkatesh, V. (1999). Creation of favorable user perceptions: exploring the role of intrinsic motivation. MIS Quarterly, 239-260.
[98]. Venkatesh, V., & Bala, H. (2008). Technology acceptance model 3 and a research agenda on
interventions. Decision Sciences, 39(2), 273-315.
[99]. Vize, R., Coughlan, J., Kennedy, A., & Ellis-Chadwick, F. (2013). Technology readiness in a
B2B online retail context: An examination of antecedents and outcomes. Industrial Marketing
Management, 42(6), 909-918.
[100]. Walczuch, R., Lemmink, J., & Streukens, S. (2007). The effect of service employees’
technology readiness on technology acceptance. Information & Management, 44(2), 206-215.
[101]. Wehmeyer, K. (2007). Mobile ad intrusiveness-The effects of message type and
situation. BLED 2007 Proceedings, 6.
[102]. Wei, K., & Ram, J. (2016). Perceived usefulness of podcasting in organizational
learning: The role of information characteristics. Computers in Human Behavior, 64, 859-870.
[103]. White, T. B., Zahay, D. L., Thorbjørnsen, H., & Shavitt, S. (2008). Getting too personal:
Reactance to highly personalized email solicitations. Marketing Letters, 19(1), 39-50.
[104]. Wong, C. H., Tan, G. W. H., Hew, T. S., & Ooi, K. B. (2016). Can mobile TV be a new
revolution in the television industry. Computers in Human Behavior, 55, 764-776.
[105]. Wu, K. W., Huang, S. Y., Yen, D. C., & Popova, I. (2012). The effect of online privacy
policy on consumer privacy concern and trust. Computers in Human Behavior, 28(3), 889-
897.
[106]. Xu, H., Oh, L. B., & Teo, H. H. (2009). Perceived effectiveness of text vs. multimedia
location-based advertising messaging. International Journal of Mobile Communications, 7(2),
154-177.
[107]. Yang, H., Zhou, L., & Liu, H. (2010). A comparative study of American and Chinese
young consumers’ acceptance of mobile advertising: A structural equation modeling
approach. International Journal of Mobile Marketing, 5(1), 60-76.
[108]. Zhou, T., & Li, H. (2014). Understanding mobile SNS continuance usage in China from
the perspectives of social influence and privacy concern. Computers in Human Behavior, 37,
283-289.
中文參考文獻
[1]. 2015 年 Visa 電子商務消費者調查 (2015)。 Visa 電子商務調查:93%民眾使
用網路購物。Available online:
http://www.visa.com.tw/aboutvisa/mediacenter/NR_tw_171115.html (Download:
2017/6/8)。
[2]. 動腦雜誌 (2016) 。【數位】行動商務戰開打 App 開啟品牌新契機。Available
online: https://www.dcplus.com.tw/marketing-knowledge/starter/73655 (Download:
2016/6/3)。
[3]. 動腦雜誌 (2016) 。亞太電子商務引爆點來臨:網購行為行動裝置首度超越
PC。Available
online:http://www.brain.com.tw/news/articlecontent?ID=43873&sort=#apWC5s9R
(Download: 2016/6/12)。 |