The relationship between students’ attitudes and subjective norm on their intention to use mobile marketing services

This study was carried out to determine the relationships between attitudes, subjective norm on their intention to use mobile marketing. It is quantitative research with the use of random sampling method choose among polytechnic students. The result was analysed by the reliability analysis, factor a...

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Main Author: Nor Farhany, Ahmad
Format: Thesis
Language:eng
eng
Published: 2014
Subjects:
Online Access:https://etd.uum.edu.my/4080/1/s812387.pdf
https://etd.uum.edu.my/4080/2/s812387_abstract.pdf
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id my-uum-etd.4080
record_format uketd_dc
institution Universiti Utara Malaysia
collection UUM ETD
language eng
eng
advisor Abdullateef, Aliyu Olayemi
topic HF5001-6182 Business
TK6570 Mobile Communication System.
spellingShingle HF5001-6182 Business
TK6570 Mobile Communication System.
Nor Farhany, Ahmad
The relationship between students’ attitudes and subjective norm on their intention to use mobile marketing services
description This study was carried out to determine the relationships between attitudes, subjective norm on their intention to use mobile marketing. It is quantitative research with the use of random sampling method choose among polytechnic students. The result was analysed by the reliability analysis, factor analysis, Pearson coefficient correlation test and multiple regression analysis. Results of the research showed that attitude and subjective norm have a straight positive relationship with behavioural intention to use mobile marketing. However, when attitude and subjective norm influent by student experience, the relationship between attitude, subjective norm and behavioural intention become more significance. The suggested model can explain on the important factors determining the behavioural intention to use mobile marketing.
format Thesis
qualification_name masters
qualification_level Master's degree
author Nor Farhany, Ahmad
author_facet Nor Farhany, Ahmad
author_sort Nor Farhany, Ahmad
title The relationship between students’ attitudes and subjective norm on their intention to use mobile marketing services
title_short The relationship between students’ attitudes and subjective norm on their intention to use mobile marketing services
title_full The relationship between students’ attitudes and subjective norm on their intention to use mobile marketing services
title_fullStr The relationship between students’ attitudes and subjective norm on their intention to use mobile marketing services
title_full_unstemmed The relationship between students’ attitudes and subjective norm on their intention to use mobile marketing services
title_sort relationship between students’ attitudes and subjective norm on their intention to use mobile marketing services
granting_institution Universiti Utara Malaysia
granting_department Othman Yeop Abdullah Graduate School of Business
publishDate 2014
url https://etd.uum.edu.my/4080/1/s812387.pdf
https://etd.uum.edu.my/4080/2/s812387_abstract.pdf
_version_ 1747827676737961984
spelling my-uum-etd.40802022-08-03T03:30:39Z The relationship between students’ attitudes and subjective norm on their intention to use mobile marketing services 2014 Nor Farhany, Ahmad Abdullateef, Aliyu Olayemi Othman Yeop Abdullah Graduate School of Business Othman Yeop Abdullah Graduate School of Business HF5001-6182 Business TK6570 Mobile Communication System. This study was carried out to determine the relationships between attitudes, subjective norm on their intention to use mobile marketing. It is quantitative research with the use of random sampling method choose among polytechnic students. The result was analysed by the reliability analysis, factor analysis, Pearson coefficient correlation test and multiple regression analysis. Results of the research showed that attitude and subjective norm have a straight positive relationship with behavioural intention to use mobile marketing. However, when attitude and subjective norm influent by student experience, the relationship between attitude, subjective norm and behavioural intention become more significance. The suggested model can explain on the important factors determining the behavioural intention to use mobile marketing. 2014 Thesis https://etd.uum.edu.my/4080/ https://etd.uum.edu.my/4080/1/s812387.pdf text eng public https://etd.uum.edu.my/4080/2/s812387_abstract.pdf text eng public masters masters Universiti Utara Malaysia A., “Mobile Permission Marketing: Framing the Market Inquiry“, International Journal of Electronic Commerce, Vol. 8, No. 1, 2003, pp. 55-79. A. A. Ahmad and Steve (2013) “Factors Influencing Students‟ Acceptance of MLearning: An Investigation in Higher Education”. Ajzen and M. Fishbein, Understanding attitudes and predicting social behavior, Eagle Wood Cliffs, NJ: Prentice Hall, 1980. Ajzen, I. “The theory of planned behavior. Organizational Behavior and Human Decision processes”, 50, 1991, pp. 179- 211. Ajzen, I., “The social psychology of decision making”. In E.T. Higgins & A.W. Kruglanski (Eds.), Social Psychology: Handbook of Basic Principles, 1996, pp. 297–328. B.A. Weitz and S.D. Jap, “Relationship marketing and distribution channels”, Journal of the Academy of Marketing Science, vol. 23, 1995, pp. 305–320. Balasubramanian, S., Peterson, R. A., & Jarvenpaa, S. L. (2002). Exploring the Implications of M-Commerce for Markets and Marketing. Journal of academy of Marketing Science, 30 (4), 348-361. Barnes, S. J., & Scornavacca, E. (2004). Mobile marketing: the role of permission and acceptance. International Journal Mobile Communication, 2 (2), 128-139. Bauer, H. H., Barnes, S. J., Reichardt, T., & Neumann, M. M. (2005). Driving Consmer Acceptance Of Mobile Marketing: A Theoretical Framework and Empirical Study. Journal of Electronic Commerce Research, 6 (3), 181-192. Becker, M. (2006). Mobile Ecosystem & Strategic Alliances-practice, Elements, and Framework. Retrieved from http://iloopmobile. com. Briley, D. A., & Williams, J. D. (1998). Emotive and cognitive effects of culture. Asia Pacific Advances in Consumer Research, 3, 26-29. B. Antonelli “Investment and adoption in advanced telecommunications”, Journal of Economics, Behavior and Organization, vol. 20, Feb. 1993, pp. 227–245. C.Y. Nicholson, L.D. Compeau, and R. Senthi, “The role of interpesonal liking in building trust in long-term channel relationship”, Journal of the Academy of Marketing Science, vol. 29, 2001, pp.3-15. Carrol, A., Barnes, S., Scornavacca, E., & Fletcher, K. (2007). Consumer Perceptions and attitudes towards SMS advertising: recent evidence from New Zealand. International Journal of Advertising, 26 (1), 79-98. Coakes, S. J., & Steed, L. G. (2003). SPSS analysis without anguish. Brisbane Australia: John Wiley & Sons Australia, Ltd. D.H. McKnight and N.L. Chervany, “What trust means in ecommerce customer relationships: An interdiciplinary conceptual typology”, International Journal of Electronic Commerce, vol.6, 2001- 2002, pp. 23–59. Davis, F. D. (1989). Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology. MIS Quarterly, 13 (3), 319-340. De Canniere, M. H., De Pelsmacker, P., & Geuens, M. (2009). Relationship Quality and the Theory of Planned Behavior models of behavioral intentions and purchase behavior. Journal of Business Research, 62, 82-92. E.M. Rogers, Diffusion of Innovations, New York: The Free Press, 1995. Eu, G. T. (2009, November 30). Hello, young phone users. New Straits Times. F.D. Davis, “Perceived usefulness, perceived ease of use, and user acceptance of information technology”, MIS Quarterly, vol. 13, Sep. 1989, pp. 319–340. F.E. Webster, “The changing role of marketing in the corporation”, Journal for Marketing, vol. 56, 1992, pp. 1–17. Facchetti, A., Rangone, A., Renga, F. M., & Savoldelli, A. (2005). Mobile marketing: an analysis of key success factors and the European value chain. International Journal Management and Decision Making, 6 (1), 65-80. Fishbein, M., & Ajzen, I. (1975) Belief, Attitude, Intention, Behavior: An Introduction to Theory and Research. Addison-Wesley. Hanley M, Becker M (2008). A Cell Phone Usage and Advertising Acceptance among College Students: A Four-Year Analysis. Int. J. Mobile Mark., 3(1): 67-68. Hair, J.F., Bush, R.P., & Ortinau, D.J. (2009). Marketing research: in a digital information environment (4th ed.). Boston: McGraw-Hill. Hong, S.-J., Thong, Y. L., Moon, J.-Y., & Tam, K.-Y. (2008). Understanding the behavior of mobile data services consumers. Information System Frontier, 10, 431-445. Hsu, T.-H., Wang, Y.-S., & Wen, S. C. (2006). Using the decomposed theory of planned behaviour to analyse consumer behavioural intention to use mobile coupons. Journal of Targeting, Measurement and Analysis for Marketing, 14 (4), 309-324. J. Hartwick and H. Barki, “Explaining the role of user participation in information system use”, Management Science, vol. 40, 1994, pp. 440–465. John, G., and Reve, T. (1982). The reliability and validity of key informant data from dyadic relationships in marketing channels. Journal of Marketing Research, 19(4), 517-524. Kaas, K.P., “Nutzen und Kosten der Werbung“, ZfbF, Vol. 42, No. 6, 1990, pp. 492-504.Katz, E., H. Haas, and M. Gurevitch, “On the Use of the Mass Media for Important Things“,American Sociological Review, Vol. 38, No. 2, 1973, pp. 164-181. Kaiser, H.F. (1974). An index of factorial simplicity. Pschometrika, Vol. 39, pp.31-6. Kalakota, R., & Robinson,M. (2002). M-business: The Race to Mobility. New York: McGraw-Hill. Karahanna, E., Straub, D. W., & Chervany, N.L. (1999) Information technology adoption across time: A cross-sectional comparison of pre-adoption and post adoption beliefs. MIS Quarterly, 23 (2), 183-213. Kavassalis, P., Spyropoulou, N., Drossos D., Mitrokostas E., Gikas G., and Hatzistamatiou Karjaluoto, H., & Alatalo, T. (2007). consumers' attitudes towards and intention to participate in mobile marketing. International Journal Service Technology and Management, 8 (2/3), 155-173. Ktoridou, D., Epaminonda, E., & Kaufmann, H. R. (2008). Technological challenges and consumer perceptions of the use of mobile marketing: Evidence from Cyprus. International Journal of Mobile Marketing, 3 (2), 34-43. L. O‟Malley and C. Tynan, “A reappraisal of the relationship marketing construct of commitment and trust” in New and Evolving Paradigms: The emerging future of marketing, Three American marketing association special conferences, T. Meenaghan, Eds. 1997, pp. 486–503. L.L. Berry and A. Parasuraman, Marketing services: Competing through quality, New York, NY: Free Press, 1991. Leppaniemi, M., Sinisalo, J., & Karjaluoto, H. (2006) A Review of Mobile Marketing Research. International Journal of Mobile Marketing, 1 (1), 30-40. Loewenstein, G. F., Weber, E. U., Hsee, C. K. and Welch, N., “Risk as feelings”, Psychological Bulletin, 127, 2001, pp. 267-286. M. Ismail & C.R Razli, “The determinant factors influencing young of Business Management Vol. 5(32), pp. 12531-12542, 14 December, 2011. M.G. Dekimpe, P.M. Parker and M. Sarvary , “Global diffusion of technological innovations: A coupled hazzard approach”, Journal of Marketing Research, Vol. 37, Feb. 2000, pp. 47–59. MCMC. (2014). Communication and Multimedia Pocketbook Statistic. Retrieved from http://www.skmm.gov.my. MMA. (2009). MMA Updates Definition of Mobile Marketing. Retrieved from http://mmaglobal.com. Morris, M. G. and Dillon, A., “The influence of user perceptions on software utilization: Application and evaluation of a theoretical model of Technology Acceptance” , IEEE Transactions on Software Engineering, 14(A), 1997, pp. 58-65. Morris, M. G., & Venkatesh, V. (2000). Age differences in technology adoption decisions: Implications for a changing workforce. Personnel Psychology, 53(2), 375– 403. Muthaiyah, S. (2004). Key Success Factors of 3rd Generation Mobile Network Services for M- Commerce in Malaysia. American Journal of Applied Sciences, 1 (4), 261- 265. Park, S. Y, Nam, M., & Cha, S. (2011). University students‟ behavioral intention to use mobile learning: Evaluating the technology acceptance model. British Journal of Education Technology, 43(4), 592-605. P. Luarn and H.H. Lin, “Toward an understanding of behavioural intention to use mobile banking”, Computer in Human Behavior, vol.21, pp. 873–891. Pinsonneault, A., & Kraemer, K. L. (1993). Survey research methodology in management Information system : An assessment. Journal of management information system, 10(2), 75-105. R.M. Morgan, and S.D. Hunt, “The commitment-trust theory of relationship marketing”, Journal of Marketing, vol. 58, 1994, pp. 20–38. Ramayah, T., Rouibah, K., Gopi, M., & Rangel, G. J. (2009a). A decomposed theory of reasoned action to explain intention to use Internet stock trading among Malaysian investors. Computers in Human Behavior, 25, 1222-1230. Ramayah, T., Yusliza, M. Y., Norzalila, J., & Amlus, I. (2009b). Applying the Theory of Planned Behavior (TPB) to Predict Internet Tax Filing Intentions. International Journal of Management, 26 (2), 272-284. Roach, G. (2009). Consumer perceptions of mobile phone marketing: a direct marketing innovation. Direct Marketing: An International Journal, 3 (2), 124-138. Roger, E. M. (1983) Diffusion of Innovations. New York: Free press. Roger, E. M. (1995). Diffusion of Innovations. New York: Free press. S. Anil, L.T. Ting, L.H. Moe, and G.P.G. Jonathan, “Overcoming barriers to the successful adoption of mobile commerce in Singapore”, International. Journal of Mobile Communications, vol. 1, 2003, pp. 191–231. S. Ganesan, “Determinants of long-term orientation in buyer-seller relationships”, Journal of Marketing, vol. 58, 1994, pp. 1–19. S. Muthaiyah, “Key success factors of 3rd generation mobile network services for m-commerce in Malaysia”, American Journal of Applied Science, vol. 1, 2004, pp. 261–265. S. Taylor and P.A.Todd, “Understanding information technology usage: A test of competing models”, Information Systems Research, vol. 6, 1995, pp. 144–174. Scharl, A., Dickinger, A., & Murphy, J. (2005). Diffusion and success factors of mobile marketing. Electronic Commerce Research and Applications, 4, 159-173. Schierz, P. G., Schilke, O., & Wirtz, B. W. (2010). Understanding consumer acceptance of mobile payment services : An empirical analysis. Electronic Commerce Research and Applications, 9, 209-216. Sheppard, B.H., Hartwick, J. and Warshaw, P.R., “The theory of reasoned action: a meta analysis of past research with recommendations for modifications and future research”, Journal of Consumer Research, Vol. 15 No. 3, 1988, pp. 325-343. Shih, Y.Y. and Fang, K., “The use of a decomposed theory of planned behavior to study Internet banking in Taiwan”, Internet Research, Vol. 14 No. 3, 2004, pp. 213-223. Sheeren NZ, Rozumah B (2009). Mobile Phone use Amongst Students in a University in Malaysia: Its Correlates and Relationship to Psychological Health. Eur. J. Sci. Res., 37(2): 206-218. Smura, T., Kivi, A., & Toyli, J. (2009). A framework for analysing the usage of mobile services. The journal of policy, regulation and strategy for telecommunications, 11 (4), 53-67. Sullivan-Mort, G., & Drennan, J. (2002). Mobile digital technology: Emerging issues for marketing. Journal of Database Marketing, 10 (1), 9-23. Sultan F, Rohm AJ, Gao T (2009). Factors Influencing Consumer Acceptance of Mobile Marketing: A Two-country Study of Youth Markets. J. Int. Mark., 23(4): 308-320. Stewart, D. W., & Pavlou, A. (2002). From Consumer Response to Active consumer: Measuring the Effectiveness of Interactive Media. Journal of the Academy of marketing Science, 30 (4), 376-396. T. Heffernan, “Trust formation in cross-cultural business-to-business relationships”, Qualitative market research: An international Journal, vol. 7, 2004, pp. 114–125. T. Liang and C.P. Wei, “Introduction to the special issue: Mobile commerce applications.” International Journal of Electronic Commerce, vol. 8, 2001, pp. 7. Tahtinen, J. (2005). Mobile Advertising or Mobile Marketing. A Need for a New Concept. Proceedings of e-Business Research, (pp. 152-164). Taylor S, Todd P (1995a). Understanding information technology usage: a test of competing models. Inform. Syst. Res., 6 (2) :144–176. Teo TSH, Pok SH (2003). Adoption of WAP-enabled mobile phones among Internet users, Omega. Int. J. Manag. Sci., 31(6): 483-498. Tsai CY (2010). An analysis of usage intentions for mobile travel guide systems. Afr. J. Bus. Manag., 4(13): 2962-2970. Varnali A, Toker A (2010). Mobile marketing research: The-state-of-theart. Int. J. Inform. Manag., 30: 144–151. Venkatesh V, Morris MG, Ackerman PL (2000). A Longitudinal field investigation of gender differences in individual technology adoption decision making processes. Organ. Behav. Hum. Decis. Proc., 83(1): 33-60. Venkatesh V, Morris MG, Davis GB, Davis FD (2003). User acceptance of information technology: toward a unified view, MIS Q., 27(3): 425-478. Wang YS, Lin HH, Luarn P (2005). Predicting consumer intention to use mobile services. Inform. Syst. J., 16: 157-179. Wong CC, Hiew PL (2005). Diffusion of Mobile Entertainment In Malaysia Drivers and Barriers. World Acad. Sci. Eng. Technol., 5: 135-138. Y.S. Poong, U.C. Eze, M.Talha, “B2C e-commerce in Malaysia: Perceived characteristics of innovating and trust perspective”, International Journal of Electronic Commerce, vol. 7, 2009, pp. 392–427. Y. Fan, A. Saliba, E.A. Kendall and J. Newmarch, “Speech interface: an enhancer to the acceptance of mobile commerce application”, Proc. International Conference on Mobile Business, 2005.