ABSTRACT
This paper presents a study that empirically examine a research model that describes click behavior of online advertisements (ad) posted in the online community. The effect of design types of online ad is compared that considers video and picture ad for the same product from the same company. Moreover, emotion that is evoked by the ad is tested for the alternation power of effect of design type on click attitude after browsing the ads. Based on the data analysis of 154 valid samples for video type ad and 177 for the picture ad from Mongolia, the main research findings are as follows: (1) Both video and picture types of design of ad are highly associated with click attitude, (2) Both types of ads are significantly related to emotion evoked, (3) Mediation effect of emotion is confirmed partially significant in the video type whereas insignificant in the picture one, mainly because of the strength of emotion induced. Discussion and implications are also addressed.
- Abideen, Z.U., and Saleem, S. 2011. Effective advertising and its influence on consumer buying behavior. European Journal of Business and Management, 3(3), 55--65.Google Scholar
- Agichtein, E., Castillo, C, Donato, D., Gionis, A., and Mishne, G. 2008. Finding high-quality content in social media. In Proceedings of the 2008 international conference on web search and data mining (pp. 183--194). ACM: WSDM'08, February 11-12, Palo Alto, California, USA. Google ScholarDigital Library
- Ajzen, I. 1991. The theory of planned behavior. Organizational Behavior and Human Decision Processes, 50, 179--211. Google ScholarCross Ref
- Amberg, M., Fischer, S., and Schröder, M. 2005. Analysis of user acceptance for web-based aptitude tests with DART. In Proceedings of 11th Americas Conference on Information Systems (AMCIS 2005), Omaha/Nebraska, USA.Google Scholar
- Andersen, P. 2007. What is Web 2.0?: ideas, technologies and implications for education. Bristol: JISC.Google Scholar
- Aydınoğlu, N.Z., and Cian, L. 2014. Show me the product, show me the model: Effect of picture type on attitudes toward advertising. Journal of Consumer Psychology, 24(4), 506--519. Google ScholarCross Ref
- Bernoff, J., and Li, C. 2008. Harnessing the power of the ohso-social web. MIT Sloan management review, 49(3), 36--42.Google Scholar
- Berry, L.L. 1995. Relationship marketing of services---growing interest, emerging perspectives. Journal of the Academy of marketing science, 23(4), 236--245. Google ScholarCross Ref
- Breuer, R., and Brettel, M. 2012. Short- and long-term effects of online advertising: Differences between new and existing customers. Journal of Interactive Marketing, 26, 155--166. Google ScholarCross Ref
- Bughin, J.R. 2007. How companies can make the most of user-generated content. McKinsey Quarterly, 1--4.Google Scholar
- Chesbrough H. 2006. Open business models: How to thrive in the new innovation landscape. Boston: Harvard Business School Press.Google Scholar
- Chi, H.H. 2011. Interactive digital advertising vs. virtual brand community: Exploratory study of user motivation and social media marketing responses in Taiwan. Journal of Interactive Advertising, 12, 44--61. Google ScholarCross Ref
- Chu, S.C. 2011. Viral advertising in social media: Participation in Facebook groups and responses among college-aged users. Journal of Interactive Advertising, 12, 30--43. Google ScholarCross Ref
- CMO Council. 2015. Marketing Spend Facts & Statistics. Retrieved from https://www.cmocouncil.org/facts-stats-categories.php?category=marketing-spend.Google Scholar
- Constantinides, E. 2006. the Marketing Mix Revisited: Towards the 21st Century Marketing. Journal of Marketing Management, 22(3-4), 407--438. Google ScholarCross Ref
- Cox, S.A. 2010. Online social network member attitude toward online advertising formats. Thesis. Rochester Institute of Technology.Google Scholar
- CRCMS (2015). Communication Regulatory Commission of Mongolia Statistic. Retrieved from http://crc.gov.mn/enGoogle Scholar
- Deighton, J., and Kornfeld, L. 2009. Interactivity's unanticipated consequences for marketers and marketing. Journal of Interactive Marketing, 23, 4--10. Google ScholarCross Ref
- Edell, J.A., and Burke, M.C. 1987. The power of feelings in understanding advertising effects. Journal of Consumer Research, 14(3), 421--33. Google ScholarCross Ref
- Hallerman, D. 2008. Behavioral targeting: Marketing trends, eMarketer.com. Available at: www.emarketer.com/Reports/All//Emarketer_2000487.aspx.Google Scholar
- Holbrook, M.B., and Batra, R. 1987. Assessing the role of emotions as mediators of consumer responses to advertising. Journal of Consumer Research, 14(3), 404--420 Google ScholarCross Ref
- Lohtia, R., Donthu, N., and Hershberger, E.K. 2003. The impact of content and design elements on banner advertising click-through rates. Journal of Advertising Research, 43(4), 410--418. Google ScholarCross Ref
- López-Mosquera, N., and Sánchez, M. 2014. Cognitive and affective determinants of satisfaction, willingness to pay, and loyalty in suburban parks. Urban Forestry & Urban Greening, 13(2), 375--384. Google ScholarCross Ref
- Mangold, W.G., and Faulds, D. 2009. Social media: The new hybrid element of the promotion mix. Business Horizons, 52(4), 357--365. Google ScholarCross Ref
- McQuarrie, E.F. 2008. Differentiating the pictorial element in advertising. Visual Marketing: From Attention to Action. New York: Erlbaum, 91--112.Google Scholar
- Mulligan, M., Banerjee, T., and Thomas, N. 2008. European paid content and activity forecast, 2008 to 2013. Jupiter Research.Google Scholar
- Ngai, E.W.T. 2003. Selection of web sites for online advertising using the AHP. Information & Management, 40(4), 233--242. Google ScholarDigital Library
- Prahalad, C.K., and Krishnan, M.S. 2008. The new age of innovation: Driving co-created value through Global Networks. New York: McGraw-Hill.Google Scholar
- Rayner, K., and Castelhano, M.S. 2008. Eye movements during reading, scene perception, visual search, and while looking at print advertisements. Visual Marketing: From Attention to Action. New York: Erlbaum, 9--42.Google Scholar
- Thomas, A.R. 2007. The end of mass marketing: or, why all successful marketing is now direct marketing. Direct Marketing: An International Journal, 1(1), 6--16. Google ScholarCross Ref
- Wilcha, K. 2005. Winning Ways. SHOOT magazine, 3, 15.Google Scholar
- Allen, C. T., Machleit, K. A., Kleine, S. S. and Notani, A. S. 2005. A place for emotion in attitude models. Journal of Business Research, 58, 494--499. Google ScholarCross Ref
- Laros, F. J. M. and Steenkamp, J. 2005. Emotions in consumer behavior: a hierarchical approach, Journal of Business Research, 58, 1437--1445. Google ScholarCross Ref
Recommendations
Effect of Online Ad on Click Intention: The Emotion Induction Perspective
MISNC2020&IEMT2020: Proceedings of the 7th Multidisciplinary in International Social Networks Conference and The 3rd International Conference on Economics, Management and TechnologyIn this paper, the effect of emotion induced via viewing an online advertisement in the context of electrical scooter (i.e., Gogoro) on click attitude toward click intention is empirically examined. The pre-emotion, post-emotion, and their emotion ...
Research on the Advertisement Effect of Push Type Mobile Advertisement
COINFO '09: Proceedings of the 2009 Fourth International Conference on Cooperation and Promotion of Information Resources in Science and TechnologyDue to the development in mobile telecommunication, mobile advertisements using mobile telecommunication devices are drawing the attention as the new advertisement mean, following the internet advertisement, and the market size of the mobile ...
Fighting online click-fraud using bluff ads
Online advertising is currently the richest source of revenue for many Internet giants. The increased number of online businesses, specialized websites and modern profiling techniques have all contributed to an explosion of the income of ad brokers from ...
Comments