Attitudes toward mobile advertising among users versus non-users of the mobile Internet

Telematics and Informatics - Tập 32 - Trang 355-366 - 2015
Alicia Izquierdo-Yusta1, Cristina Olarte-Pascual2, Eva Reinares-Lara3
1Department of Business Administration, Facultad de Ciencias Económicas y Empresariales, Universidad de Burgos, Plaza Infanta Elena s/n, 09001 Burgos, Spain
2Department of Economy and Enterprise, Facultad de Ciencias Empresariales, Universidad de La Rioja, Ed. Quintiliano, c/La Cigüeña 60, 26004 Logroño, Spain
3Department of Business Administration, Facultad de Ciencias Jurídicas y Sociales, Universidad Rey Juan Carlos, Paseo de los Artilleros s/n, Campus de Vicalvaro, 28932 Madrid, Spain

Tài liệu tham khảo

Agarwal, 2000, Time flies when you’re having fun: cognitive absorption and beliefs about information technology usage, MIS Q., 24, 665, 10.2307/3250951 Ajzen, 1991, The theory of planned behavior, Org. Behav. Human Decis. Process., 50, 179, 10.1016/0749-5978(91)90020-T Ajzen, 2002, Perceived behavioural control, self-efficacy, locus of control, and the theory of planned behavior, J. Appl. Soc. Psychol., 32, 665, 10.1111/j.1559-1816.2002.tb00236.x Alba, 1997, Interactive home shopping: consumer, retailer, and manufacturer incentives to participate in electronic marketplaces, J. Mark., 61, 38, 10.2307/1251788 Bagozzi, 2000, On the concept of intentional social action in consumer behavior, J. Consum. Res., 2, 388, 10.1086/317593 Bamba, 2007, MS advertising, permission and the consumer: a study, Bus. Process Manage. J., 13, 815, 10.1108/14637150710834578 Barutcu, 2007, Attitudes towards mobile marketing tools: a study of Turkish consumers, J. Target. Meas. Anal. Mark., 16, 26, 10.1057/palgrave.jt.5750061 Barwise, 2002, Permission-based mobile advertising, J. Interact. Mark., 16, 14, 10.1002/dir.10000 Bass, 1969, A new product growth for model consumer durables, Int. J. Retail Dist. Manage., 33, 101 Bauer, 1968 Bauer, 2005, Driving consumer acceptance of mobile marketing: a theoretical framework and empirical study, J. Electron. Commer. Res., 6, 181 Bearden, 1982, Reference group influence on product and brand purchase decisions, J. Consum. Res., 9, 183, 10.1086/208911 Bosnjak, 2006, Predicting and explaining the propensity to bid in online auctions: a comparison of two auctions theoretical models, J. Consum. Behav., 5, 102, 10.1002/cb.38 Chang, 2005, Literature derived reference models for the adoption of online shopping, Inf. Manage., 42, 543, 10.1016/j.im.2004.02.006 Chen, 2003, A conceptual model of perceived customer value in e-commerce: a preliminary investigation, Psychol. Mark., 20, 323, 10.1002/mar.10076 Chen, 2007, Prediction electronic toll collection service adoption: an integration of the technology acceptance model and the theory of planned behavior, Transp. Res. Part C, 15, 300, 10.1016/j.trc.2007.04.004 Childers, 1992, The influence of familial and peer-based reference groups on consumer decisions, J. Consum. Res., 19, 198, 10.1086/209296 Choi, 2008, Gearing up for mobile advertising: a cross-cultural examination of key factors that drive mobile messages home to consumers, Psychol. Mark., 25, 756, 10.1002/mar.20237 Clark, 2000, Coming attraction, Wireless Rev., 17, 12 Davis, 1989, Perceived usefulness, perceived ease of use and user acceptance of information technology, MIS Q., 13, 319, 10.2307/249008 Davis, 1996, A model of the antecedents of perceived ease of use: development and test, Decis. Sci., 27, 451, 10.1111/j.1540-5915.1996.tb01822.x Dickerson, 1983, Characteristics of adopters and non-adopters of home computer, J. Consum. Res., 10, 225, 10.1086/208961 Dickinger, A. Heinzmann, P., Murphy, J., 2005. Mobile environmental applications. In Heinzmann, P., Murphy, J. (Eds.). In Proceedings of the 38th Annual Hawaii International Conference on System Sciences (HICSS’05), Track 7 (p. 178a). doi: 10.1109/HICSS.2005.434. Dodds, 1991, Effects of price, brand, and store information on buyers’ product evaluations, J. Mark. Res., 28, 307, 10.2307/3172866 Durvasula, 1993, Assessing the cross-national applicability of consumer behavior models: a model of attitude toward advertising in general, J. Consum. Res., 19, 626, 10.1086/209327 Dutta-Bergman, 2006, Community participation and Internet use after September 11: complementarity in channel consumption, J. Comput. Med. Commun., 11, 469, 10.1111/j.1083-6101.2006.00022.x Facchetti, 2005, Mobile marketing: an analysis of key success factors and the European value chain, Int. J. Manage. Decis. Mak., 6, 65 Falk, 1992 Fishbein, 1975 Fitzgerald, 2002, Reference group influence on adolescent alcohol use, J. Alcohol Drug Educ., 47, 42 Flavián, 2009, Heuristic evaluation of websites design for achieving the web success, Int. J. Serv. Stand., 5, 17, 10.1504/IJSS.2009.021664 Fogelgren-Pedersen, A., Anderson, K., Jelbo, C., 2003. The Paradox of the mobile Internet: Acceptance of Gadgets and Rejection of Innovations. In Proceedings of the 16th BLED eCommerce Conference eTransformation, paper 56, (available at: http://aisel.aisnet.org/bled2003/56). Fornell, 1981, Structural equation models with unobserved variables and measurement error, J. Mark. Res., 18, 39, 10.2307/3151312 2002 Foxall, 2003, The behavior Analysis of consumer choice: an introduction to the special issue, J. Econ. Psychol., 24, 581, 10.1016/S0167-4870(03)00002-3 Gallarza, 2006, Desarrollo de una escala multidimensional para medir el valor percibido de una experiencia de servicio, Rev. Esp. Invest. Mark., 10, 25 Gefen, 2003, Trust and TAM in online shopping: an integrated model, MIS Q., 27, 51, 10.2307/30036519 Grewal, 1998, The effects of price-comparison advertising on buyers’ perceptions of acquisition value, transaction value, and behavioural intentions, J. Mark., 62, 46, 10.2307/1252160 Henderson, 2003, Perceived usefulness, ease of use and electronic supermarket use, Int. J. Hum Comput Stud., 59, 383, 10.1016/S1071-5819(03)00079-X Hsu, 2006, A longitudinal investigation of continued online shopping behaviour: an extension of theory of planned behaviour, Int. J. Hum. Comput. Stud., 64, 889, 10.1016/j.ijhcs.2006.04.004 IAB Europe, 2011. Mobile media: consumer insights across Europe. <http://www.iabspain.net/wp-content/uploads/downloads/2012/02/IAB_Europe_Mobile_Consumer_Insights_2011.pdf> (accessed 10.02.14). Igbaria, 1995, Testing the determinants of microcomputer usage via a structural equation model, J. Manage. Inf. Syst., 11, 87, 10.1080/07421222.1995.11518061 ITU, International Telecommunications Union, 2013. The world in 2013: ICT Facts and figures. <http://www.itu.int/en/ITU-D/Statistics/Documents/facts/ICTFactsFigures 2013-e.pdf> (accessed 10.02.14). Jayawardhena, 2009, Antecedents to permission based mobile marketing: an initial examination, Eur. J. Mark., 43, 473, 10.1108/03090560910935541 Karahanna, 1999, Information technology adoption across time: a cross-sectional comparison of pre-adoption and post-adoption beliefs, MIS Q., 23, 183, 10.2307/249751 Karjaluoto, 2007, Consumers’ attitudes towards and intention to participate in mobile marketing, Int. J. Serv. Technol. Manage., 8, 155, 10.1504/IJSTM.2007.012866 Karjaluoto, 2008, Exploring gender influence on customer’s intention to engage permission-based mobile marketing, Electron. Mark., 18, 242, 10.1080/10196780802265793 Keeney, 1999, The value of Internet commerce to the customer, Manage. Sci., 45, 533, 10.1287/mnsc.45.4.533 Khalifa, 2008, Explaining the adoption of transactional B2C mobile commerce, J. Enterp. Inf. Manage., 1, 110, 10.1108/17410390810851372 Lee, S.G., 2003. An integrative study of mobile technology adoption based on technology acceptance model theory of planned behaviour and diffusion of innovation theory. Doctoral dissertation. <http://digitalcommons.unl.edu/dissertations/AAI3104619> (accessed 10.02.14). Lee, 2009, Factors influencing the adoption of internet banking: an integration of TAM and TPB with perceived risk and perceived benefit, Electron. Commer. Res. Appl., 8, 130, 10.1016/j.elerap.2008.11.006 Lee, 2005, Acceptance of Internet-based learning medium: the role of extrinsic and intrinsic motivation, Inf. Manage., 42, 1095, 10.1016/j.im.2003.10.007 Lee, 2006, An empirical examination of customer perceptions of mobile advertising, Inf. Resour. Manage. J., 19, 39, 10.4018/irmj.2006100103 López, 2008, An assessment of advanced mobile services acceptance: contributions from TAM and diffusion theory models, Inf. Manage., 45, 359, 10.1016/j.im.2008.05.001 Lowry, 2002, Modeling user acceptance of building management systems, Autom. Constr., 11, 695, 10.1016/S0926-5805(02)00010-9 Lu, 2003, Technology acceptance model for wireless internet, J. Internet Res., 13, 206, 10.1108/10662240310478222 Lu, 2005, Personal innovativeness, social influences and adoption of wireless Internet services via mobile technology, J. Strateg. Inf. Syst., 14, 245, 10.1016/j.jsis.2005.07.003 Luna, 2002, Cross-cultural and cognitive aspects of web site navigation, J. Acad. Mark. Sci., 30, 397, 10.1177/009207002236913 Lutz, R.J., 1985. Affective and cognitive antecedents of attitude towards the Ad: the conceptual framework. In: Alwitt, L., Mitchell, A. (Eds.), Psychological Processes and Advertising Effects: Theory, Research and Applications. L. Erlbaum Associates, Hillsdale, NJ, pp. 45–63. Malhotra, Y., Galletta, D.F., 1999. Extending the technology acceptance model to account for social influence: theoretical bases and empirical validation. In Proceedings of the 32nd Hawaii International Conference on System Sciences, Track1, pp. 6–14. Doi: 10.1109/HICSS.1999.772658. Massey, A.P., Khatri, V., Ramesh, V., 2004. mobile data services: linking customers beliefs to wireless web usability. Paper presented at the Austin mobility roundtable 2004, the Third Annual Meeting of the Global Mobility Roundtable, March, Austin. Mathieson, 1991, Predicting user intention: comparing the technology acceptance model with theory of planned behavior, Inf. Syst. Res., 2, 173, 10.1287/isre.2.3.173 Merisavo, 2007, An empirical study of the drivers of consumer acceptance of mobile advertising, J. Inter. Adv., 7, 235 Mobile Marketing Associations, 2012. <http://www.mmaspain.com/adm/upload/doc/vestudiodeinversinenmarketingypublicidadmvil-vfinal-130220101859-phpapp02.pdf> Accessed 05.02.2014. Moore, 1991, Development of an instrument to measure the perceptions of adopting an information technology innovation, Inf. Syst. Res., 2, 192, 10.1287/isre.2.3.192 Muehling, 1987, Comparative advertising: the influence of attitude toward the Ad on brand evaluation, J. Adv., 16, 43, 10.1080/00913367.1987.10673094 Muk, 2006, Consumers’ adoption-non adoption of Mobile SMS Advertising, Int. J. Mobile Mark., 1, 21 Netsize, J.Y., 2012. The Nesiza guide 2012. <http://wwwnetsize.com/Netsize-Guide-TrulyMobile.htm> (accessed 05.02.14). Nysveen, 2005, Intentions to use mobile services: antecedents and cross-service comparisons, J. Acad. Mark. Sci., 33, 330, 10.1177/0092070305276149 Olla, 2003, Wireless systems development methodologies: an analysis of practice using actor network theory, Int. J. Comput. Inf. Syst., 44, 102 Pagani, 2004, Determinants of adoption of third generation mobile multimedia services, J. Interact. Mark., 18, 46, 10.1002/dir.20011 Richard, 2005, A model of consumer web navigational behavior: conceptual development and application, J. Bus. Res., 58, 1019, 10.1016/j.jbusres.2004.04.001 Rodríguez Perlado, V., Barwise, P., 2005. Mobile advertising: a research agenda. In: Stafford, M.R., Faber, R.J. (Eds.), Advertising, Promotion and New Media, Sharp, New York: M.E., pp. 261–277. Rogers, 2003 Rohm, 2006, An exploratory cross-market study of mobile marketing acceptance, Int. J. Mobile Mark., 1, 4 Rouchy, 2002, Cultural identity and groups of belonging, Group, 26, 205, 10.1023/A:1021009126881 Salo, 2012, The role of mobile technology in a buyer-supplier relationship: a case study from the steel industry, J. Bus. Ind. Mark., 27, 554, 10.1108/08858621211257329 Shavitt, 1998, Public attitude toward advertising: more favourable than you might think, J. Adv. Res., 38, 7 Shih, 2004, Extended technology acceptance model of Internet utilization behaviour, Inf. Manage., 41, 719, 10.1016/j.im.2003.08.009 Siau, 2004, A qualitative investigation on consumer trust in mobile commerce, Int. J. Electron. Bus., 2, 283, 10.1504/IJEB.2004.005143 Sicilia, 2006, Attitude formation online: how the consumer’s need for cognition affects the relationship between attitude towards the website and attitude towards the brand, Int. J. Mark. Res., 48, 139, 10.1177/147078530604800204 Soroa-Koury, 2010, Factors affecting consumers’ responses to mobile advertising from a social norm theoretical perspective, J. Telematics Inf. Arch., 27, 103, 10.1016/j.tele.2009.06.001 Stevenson, 2000, Web page background and viewer attitudes, J. Adv. Res., 20, 29, 10.2501/JAR-40-1-2-29-34 Sweeney, 2001, Consumer perceived value: the development of a multi-item scale, J. Retail., 77, 203, 10.1016/S0022-4359(01)00041-0 Taylor, 1995, Understanding information technology usage: a test of competing models, Inf. Syst. Res., 6, 144, 10.1287/isre.6.2.144 Teo, 2003, An empirical study of the effect of interactivity on web user attitude, Int. J. Hum. Comput. Stud., 58, 281, 10.1016/S1071-5819(03)00008-9 Thompson, 1994, Influence of experience on personal computer utilization: testing a conceptual model, J. Manage. Inf. Syst., 1, 167, 10.1080/07421222.1994.11518035 Tsang, 2004, Consumer attitudes toward mobile advertising: an empirical study, Int. J. Electron. Commer., 8, 65, 10.1080/10864415.2004.11044301 Venkatesh, 2000, A theoretical extension of the technology acceptance model: four longitudinal field studies, Manage. Sci., 46, 186, 10.1287/mnsc.46.2.186.11926 Venkatesh, 2000, Why don’t men ever stop to ask for directions? Gender, social influence, and their role in technology acceptance and usage behavior, MIS Q., 24, 115, 10.2307/3250981 Venkatesh, 2003, User acceptance of information technology: toward a unified view, MIS Q., 27, 425, 10.2307/30036540 Verkasalo, 2010, Analysis of users and non-users of smartphone applications, Telematics Inform., 27, 242, 10.1016/j.tele.2009.11.001 Vijayasarathy, 2004, Predicting consumer intentions to use online shopping: the case for an augmented technology acceptance model, Inf. Manage., 41, 747, 10.1016/j.im.2003.08.011 Warren, 2002, Clinical acceptance of a low-cost portable system for postural assessment, Behav. Inf. Technol., 21, 47, 10.1080/01449290110107236 Warshaw, 1980, A new model for predicting behavioural intentions: an alternative to Fishbein, J. Mark. Res., 17, 153, 10.2307/3150927 Wen, 2009, Factors affecting the online travel buying decision: a review, Int. J. Contemp. Hospital. Manage., 21, 752, 10.1108/09596110910975990 Woodruff, 1997, Customer value: the next source of competitive advantage, J. Acad. Market. Sci., 25, 139, 10.1007/BF02894350 Wu, 2005, An extension of trust and TAM model with TPB in the initial adoption of on-line tax: an empirical study, Int. J. Comput. Stud., 62, 784, 10.1016/j.ijhcs.2005.03.003 Xu, 2006, The influence of personalization in affecting consumer attitudes toward mobile advertising in China, J. Comput. Inf. Syst., 47, 9 Zeithaml, 1998, Consumer perceptions of price, quality and value: a means-end model and synthesis of evidence, J. Market., 52, 2, 10.2307/1251446 Zhang, 2008, Understanding the acceptance of Mobile SMS advertising among young Chinese consumers, Psychol. Market., 25, 787, 10.1002/mar.20239 Ziefle, 2002, The influence of user expertise and phone complexity on performance, ease of use and learnability of different mobile phones, Behav. Inf. Technol., 21, 303, 10.1080/0144929021000048538