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The Influence Factors Towards Mobile Advertising Message Content on Consumer Purchase Intention

Author

Listed:
  • Nor Hazlina Hashim
  • Normalini
  • Norhazlina Sajali

Abstract

The purpose of this research is to study consumer attitude towards mobile advertising in Malaysia, and whether this attitude results in the intention to purchase the products or services advertised. This article reports on the results, based on factors such as entertainment, informativeness, irritation and credibility, which the research framework derives from Ducoffe (1996, Advertising value and advertising on the Web, Journal of Advertising Research, 36 (5), 21–35) and Mackenzie (1989, An empirical examination of the structural antecedents of attitude toward the ad in an advertising pretesting context, Journal of Marketing , 53 (4), 48–65). Attitudes towards behaviours, and subjective norms, based on the research by Ajzen (1991, The theory of planned behaviour, Organizational Behaviour & Human Decision Processes , 50 (2), 179–211), are included in understanding consumer intention. A survey is conducted on 150 respondents, and the partial least squares analysis is used to determine the antecedents of mobile advertising that lead to consumer acceptance of mobile advertising, and the resulting intention to purchase. Results show that the advertising message content has the largest impact on attitude in advertising that is done via mobile phone. Attitudes towards mobile advertising are linked to the intention to purchase the product or services advertised. The main implication of the study shows that marketing managers should focus their marketing communication on mobile advertising, and increasing the attractiveness of this form of advertising, so as to reflect consumers’ intention to purchase. This study opens a new channel of communication for multiple unexamined matters concerning the mobile advertising industry. Based on the results, a number of recommendations are proposed and suggestions for future studies are made.

Suggested Citation

  • Nor Hazlina Hashim & Normalini & Norhazlina Sajali, 2018. "The Influence Factors Towards Mobile Advertising Message Content on Consumer Purchase Intention," Global Business Review, International Management Institute, vol. 19(5), pages 1187-1206, October.
    • Handle: RePEc:sae:globus:v:19:y:2018:i:5:p:1187-1206
    DOI: 10.1177/0972150918788746
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    References listed on IDEAS

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    1. Margherita Pagani, 2004. "Determinants of adoption of third generation mobile multimedia services," Post-Print hal-02313098, HAL.
    2. T. Ramayah & Jason Lee & Julie In, 2011. "Network collaboration and performance in the tourism sector," Service Business, Springer;Pan-Pacific Business Association, vol. 5(4), pages 411-428, December.
    3. Varnali, Kaan & Toker, Ayşegül, 2010. "Mobile marketing research: The-state-of-the-art," International Journal of Information Management, Elsevier, vol. 30(2), pages 144-151.
    4. Viswanath Venkatesh & Fred D. Davis, 2000. "A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies," Management Science, INFORMS, vol. 46(2), pages 186-204, February.
    5. Shirley Taylor & Peter A. Todd, 1995. "Understanding Information Technology Usage: A Test of Competing Models," Information Systems Research, INFORMS, vol. 6(2), pages 144-176, June.
    6. Thomas P. Novak & Donna L. Hoffman & Yiu-Fai Yung, 2000. "Measuring the Customer Experience in Online Environments: A Structural Modeling Approach," Marketing Science, INFORMS, vol. 19(1), pages 22-42, May.
    7. Fred D. Davis & Richard P. Bagozzi & Paul R. Warshaw, 1989. "User Acceptance of Computer Technology: A Comparison of Two Theoretical Models," Management Science, INFORMS, vol. 35(8), pages 982-1003, August.
    8. Chen, Peng-Ting & Hsieh, Hsin-Pei, 2012. "Personalized mobile advertising: Its key attributes, trends, and social impact," Technological Forecasting and Social Change, Elsevier, vol. 79(3), pages 543-557.
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