Promotional marketing through mobile phone SMS: a cross-cultural examination of consumer acceptance

References

• Ajzen, I. (1991). The theory of planned behavior. Organizational Behavior and Human Decision Processes, 50, 179–211.
   Web of Science ®Google Scholar
• Bagozzi, R.P. (2007). The legacy of the technology acceptance model and a proposal for a paradigm shift. Journal of the AIS, 8, 244–254.
   Google Scholar
• Balan, C., & Zegreanu, M.P. (2012). Insights in to the development of the market of mobile marketing services in Romania. The Amfiteatru Economic Journal, 14, 786–801.
   Web of Science ®Google Scholar
• Bandura, A. (1986). Social foundations of thought and action. Englewood Cliffs, NJ: Prentice-Hall.
   Google Scholar
• Bandura, A. (2001). Social cognitive theory of mass communication. Media Psychology, 3, 265–299.
   Web of Science ®Google Scholar
• Chang, Y.M. (2013). Age matters: Short message service advertising reading behaviors. International Journal of Mobile Communications, 11, 159–175.
   Web of Science ®Google Scholar
• Chen, C., O’Brien, M., & Guo, L. (2012). Consumer trust and loyalty in e-Tail. In Close, A.G. (Ed.), Online consumer behavior: Theory and research in social media, advertising, and e-tail (pp. 297–322). New York, USA: Taylor & Francis Group.
   Google Scholar
• Cheng, J.M.S., Blankson, C., Wang, E.S.T., & Chen, L.S.L. (2009). Consumer attitudes and interactive digital advertising. International Journal of Advertising, 28, 501–525.
   Web of Science ®Google Scholar
• Choi, Y.K., Hwang, J., & McMillan, S.J. (2008). Gearing up for mobile advertising: Across-cultural examination of key factors that drive mobile messages home to consumers. Psychology & Marketing, 25, 756–768.
   Web of Science ®Google Scholar
• Cockrill, A., Goode, M.M., & White, A. (2011). The Bluetooth enigma: Practicalities impair potential awareness is high. Can usage be higher? Journal of Advertising Research, 51, 298–312.
   Web of Science ®Google Scholar
• Daft, R.L., & Lengel, R.H. (1986). Organizational information requirements, media richness and structural design. Management Science, 32, 554–572.
   Web of Science ®Google Scholar
• Danaher, P.J., & Rossiter, J.R. (2011). Comparing perceptions of marketing communication channels. European Journal of Marketing, 45, 6–42.
   Web of Science ®Google Scholar
• Davis, F.D. (1989). Perceived usefulness, perceived ease of use and user acceptance of information technology. MIS Quarterly, 13, 319–340.
   Web of Science ®Google Scholar
• Dix, S., Jamieson, K., & Phau, I. (2011). Drivers of acceptance for SMS advertising. Proceeding of the 20th annual world business congress of the international-management-development-association (vol. 20), July 03–07, Poznan, Poland.
   Google Scholar
• Durkin, M. (2013). Tweetmecruel: Perspectives on battling digital marketing myopia. The Marketing Review, 13, 51–63.
   Google Scholar
• Dwivedi, Y.K., Shareef, M.A., Simintiras, A.C., Lal, B., & Weerakkody, V. (2016). Adoption behaviour for mobile health (m-Health) service: A cross-country comparison. Government Information Quarterly, 33, 174–187.
   Web of Science ®Google Scholar
• Ein-Dor, P., Segev, E., & Orgad, M. (1993). The effect of national culture on IS: Implications for International Information Systems. Journal of Global Information Management, 1, 33–44.
   Google Scholar
• Espinoza, M.M. (1999). Assessing the cross-cultural applicability of a service quality measure: A comparative study between Quebec and Peru. International Journal of Service Industry Management, 10, 449–468.
   Google Scholar
• Fornell, C., & Larcker, D.F. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research, 18, 39–50.
   Web of Science ®Google Scholar
• Gauzente, C., Ranchhod, A., & Gurau, C. (2006). Mobile marketing and consumer understanding: A pilot study. Proceeding of the 19th international conference on database and expert systems applications, September 01–05, Turin, Italy.
   Google Scholar
• Gefen, D., Karahanna, E., & Straub, D.W. (2003). Trust and TAM in online shopping: An integrated model. MIS Quarterly, 7, 51–90.
   Google Scholar
• Goodman, S.E., & Green, J.D. (1992). Computing in the Middle East. Communications of the ACM, 35, 21–25.
   Web of Science ®Google Scholar
• Grant, I., & O'Donohoe, S. (2007). Why young consumers are not open to mobile marketing communications. International Journal of Advertising, 26, 223–246.
   Web of Science ®Google Scholar
• Heim, P., Walter, E., & Reutterer, T. (2009). User acceptance of SMS-based advertising campaigns. Proceeding of the 6th international conference on partial least squares and related methods, September 4–7. Beijing, China.
   Google Scholar
• Ho, L.H., Chung, C.W., Chen, H.T., & Lee, A.H.I. (2010). The effects of government SMS in Taiwan. International Journal of Technology Management, 51, 22–38.
   Web of Science ®Google Scholar
• Hoe, S.L. (2008). Issues and procedures in adopting structural equation modeling technique. Journal of Applied Quantitative Methods, 3, 76–83.
   Google Scholar
• Hofstede, G. (2001). Culture’s consequences (2nd ed.). Thousand Oaks: Sage.
   Google Scholar
• Homans, G. (1961). Social behavior: Its elementary forms. New York: Harcourt Brace Jovanovich.
   Google Scholar
• Hosseini, M.H., Noroozi, A., Ghazizadeh, M., Goharpad, M., & Mobarekeh, A.N. (2011). Marketing without wires: Survey of factors affecting mobile advertising effectiveness in Iran. In Juan, S. (Ed.), Business and economics research (vol. 1, pp. 261–266).
   Google Scholar
• Hu, Li-tze, & Bentler, P.M. (1999). Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Structural Equation Modeling, 6, 1–55.
   Web of Science ®Google Scholar
• Jamieson, K. (2012). SMS advertising: A cross-national study on acceptance and response. Proceeding of the 13th West Lake international conference on small and medium business, (WLICSMB2011), October 15–17, Hangzhou, China.
   Google Scholar
• Kline, R.B. (2005). Principles and practice of structural equation modeling. New York: The Guilford Press.
   Google Scholar
• Ko, E., Kim, E.Y., & Lee, E.K. (2009). Modeling consumer adoption of mobile shopping for fashion products in Korea. Psychology & Marketing, 26, 669–687.
   Web of Science ®Google Scholar
• La Rose, R., Mastro, D.A., & Eastin, M.S. (2001). Understanding Internet usage: A social cognitive approach to uses and gratifications. Social Science Computer Review, 19, 395–413.
   Web of Science ®Google Scholar
• Leek, S., & Christodoulides, G. (2009). Next-generation mobile marketing: How young consumers react to Bluetooth-enabled advertising. Journal of Advertising Research, 49, 44–53.
   Web of Science ®Google Scholar
• Li, Q. (2009). Mobile advertising-an analysis of the market in China. Journal of the Institute of Telecommunications Professionals, 3, 43–47.
   Web of Science ®Google Scholar
• Lillie, J. (2012). Nokia's MMS: A cultural analysis of mobile picture messaging. New Media & Society, 14, 80–97.
   Web of Science ®Google Scholar
• Lu, Y.B., Deng, Z.H., & Wang, B. (2010). Exploring factors affecting Chinese consumers' usage of short message service for personal communication. Information Systems Journal, 20, 183–208.
   Web of Science ®Google Scholar
• Mallat, N. (2007). Exploring consumer adoption of mobile payments – A qualitative study. Journal of Strategic Information Systems, 16, 413–432.
   Web of Science ®Google Scholar
• McDonald, J., & Dahlberg, J. (2010). US consumer attitudes toward and acceptance of SMS mobile text advertising. Proceeding of the 4th international technology, education and development conference (INTED), March 08–10, Valencia, Spain.
   Google Scholar
• McKnight, D.H., Choudhury, V., & Kacmar, C. (2002). Developing and validating trust measures for e-commerce: An integrative typology. Information Systems Research, 13, 334–359.
   Web of Science ®Google Scholar
• Mittal, B., & Lassar, W.M. (1996). The role of personalization in service encounters. Journal of Retailing, 72, 95–109.
   Web of Science ®Google Scholar
• Moynihan, B., Kabadayi, S., & Kaiser, M. (2010). Consumer acceptance of SMS advertising: A study of American and Turkish consumers. International Journal of Mobile Communications, 8, 392–410.
   Web of Science ®Google Scholar
• Muk, A. (2007). Consumers' intentions to opt into SMS advertising- A cross-national study of young Americans and Koreans. International Journal of Advertising, 26, 177–198.
   Web of Science ®Google Scholar
• Okazaki, S. (2008). Determinant factors of mobile-based word-of-mouth campaign referral among Japanese adolescents. Psychology & Marketing, 25, 714–731.
   Web of Science ®Google Scholar
• 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, 59–71.
   Web of Science ®Google Scholar
• Park, J., & Yang, S. (2006). The moderating role of consumer trust and experiences: Value driven usage of mobile technology. International Journal of Mobile Marketing, 1, 24–32.
   Google Scholar
• Pavlou, P.A., & Fygenson, M. (2006). Understanding and predicting electronic commerce adoption: An extension of the theory of planned behavior. MIS Quarterly, 30, 115–143.
   Web of Science ®Google Scholar
• Phau, I., & Teah, T. (2009). Young consumers motives for using SMS and perceptions towards SMS advertising. Direct Marketing: An International Journal, 3, 97–108.
   Google Scholar
• Pihlström, M., & Brush, G.J. (2008). Comparing the perceived value of information and entertainment mobile services. Psychology & Marketing, 25, 732–755.
   Web of Science ®Google Scholar
• Rau, P.-L.P., Zhang, T., Shang, X., & Zhou, J. (2011). Content relevance and delivery time of SMS advertising. International Journal of Mobile Communication, 9, 19–38.
   Web of Science ®Google Scholar
• Rogers, E.M. (1995). Diffusion of innovations. New York, USA: The Free Press.
   Google Scholar
• Schmidt, R.F. (1989). Behavior memory (learning by conditioning). In Schmidt, R.F., Thews, G. (Eds.), Human physiology. translated by marguerite A (pp. 155–156). Biederman-Thorson (second, completely revised ed.). Berlin: Springer-Verlag.
   Google Scholar
• Shareef, M.A., Dwivedi, Y.K., & Rana, N.P. (2015). Consumer behavior in the context of SMS-based marketing. The Marketing Review, 15, 135–160.
   Google Scholar
• Smutkupt, P., Krairit, D., & Esichaikul, V. (2010). An empirical study of the effects of permission on mobile advertising effectiveness. Proceeding of Portland International Center for Management of Engineering and Technology (PICMET10) Conference, Portland, OR.
   Google Scholar
• Straub, D., Keil, M., & Brenner, W. (1997). Testing the technology acceptance model across cultures: A three country study. Information & Management, 33, 1–11.
   Web of Science ®Google Scholar
• Tomaskova, H. (2010). Mobile marketing in Czech Republic focused on corporate mobile marketing. In Kallel, A., Hassairi, A., Bulucea, C.A., & Mastorakis, N.. (Eds.), Applied economics, business and development (pp. 147–152).
   Google Scholar
• Trabelsi, I., & Ben Rached, K.S. (2009). Adolescent reaction to mobile advertising: Role of the concept of permission marketing. Proceeding of the 13th International-Business-Information-Management-Association Conference, November 09–10, Marrakech, Morocco.
   Google Scholar
• Turel, O., Serenko, A., & Bontis, N. (2007). User acceptance of wireless short messaging services: Deconstructing perceived value. Information & Management, 44, 63–73.
   Web of Science ®Google Scholar
• Van der Waldt, D.L.R., Rebello, T.M., & Brown, W.J. (2009). Attitudes of young consumers towards SMS advertising. African Journal of Business Management, 3, 444–452.
   Web of Science ®Google Scholar
• Varnali, K., Yilmaz, C., & Toker, A. (2012). Predictors of attitudinal and behavioral outcomes in mobile advertising: A field experiment. Electronic Commerce Research and Applications, 11, 570–581.
   Web of Science ®Google Scholar
• Venkatesh, V., Davis, F.D., & Morris, M.G. (2007). Dead or alive? The development, trajectory and future of technology adoption research. Journal of the AIS, 8, 268–286.
   Google Scholar
• Venkatesh, V., Thong, J.Y.L., & Xu, X. (2012). Consumer acceptance and use of information technology: Extending the unified theory of acceptance and use of technology. MIS Quarterly, 36, 157–178.
   Web of Science ®Google Scholar
• Xu, D., Liao, S., & Li, Q. (2008). Combining empirical experimentation and modeling techniques: A design research approach for personalized mobile advertising applications. Decision Support Systems, 44, 710–724.
   Web of Science ®Google Scholar
• Xu, D.J. (2007). The influence of personalization in affecting consumer attitudes toward mobile advertising in China. The Journal of Computer Information Systems, 47, 9–19.
   Web of Science ®Google Scholar
• Zegreanu, P. (2012). Mobile marketing strategies for consumer's acceptance of Sms – A Romanian case-study. Proceeding of the 7th international conference on business excellence, October 12–13, Brasov, Romania.
   Google Scholar
• Zhang, J., & Mao, E. (2008). Understanding the acceptance of mobile SMS advertising among young Chinese consumers. Psychology & Marketing, 25, 787–805.
   Web of Science ®Google Scholar
• Zhang, R.J., & Li, X.Y. (2012). Research on consumers' attitudes and acceptance intentions toward mobile marketing. In Hua L. (Ed.), 2012 International conference on management science & engineering (pp. 727–732).
   Google Scholar