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Rakesh, Sapna
- Impact of Online Video Advertisements on Purchase Behavior of Delhi-NCR Youth
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Authors
Affiliations
1 Department of Management, Dr. A.P.J. Abdul Kalam Technical University, Lucknow, IN
2 Krishna Institute of Engineering and Technology, Ghaziabad, IN
3 University Courses Campus, Institute of Management Studies, Ghaziabad, IN
4 Chitkara Business School, Chitkara University, IN
1 Department of Management, Dr. A.P.J. Abdul Kalam Technical University, Lucknow, IN
2 Krishna Institute of Engineering and Technology, Ghaziabad, IN
3 University Courses Campus, Institute of Management Studies, Ghaziabad, IN
4 Chitkara Business School, Chitkara University, IN
Source
Review of Professional Management- A Journal of New Delhi Institute of Management, Vol 16, No 1 (2018), Pagination: 30-43Abstract
The present study aims to investigate the effectiveness of online video advertisements on purchase intentions of Delhi-NCR youth. It develops a model that measures advertisement value and attitude towards online advertisement on purchase intentions. A survey was conducted among graduate/postgraduate students of engineering and management between March to October, 2017. Confirmatory factor analysis was done for measuring the validity of measurement model followed by SEM analysis and a post-hoc SEM analysis. The study examines and develops a model for measuring impact of attitudinal factors on attitude and purchase intention in case of online video advertisements which provides further scope of research. The post-hoc analysis confirmed that all constructs of advertisement value model given by Ducoffe is not applicable in case of online video advertisements. Invasiveness/Irritation has no significant impact on advertisement value as in case of Ducoffe model although in post-hoc modeling it significantly impacts attitude towards online video advertisements. Information and entertainment constructs have significant impacts on the advertisement value and attitude towards online advertisement.Keywords
Online Video Advertisements, Structural Equation Modelling (SEM), Online Consumer Behaviour.Full Text
References
- Alijani, G.S., Mancuso, L.C., Kwun, O., & Omar, A. (2010). Effectiveness of Online Advertisement Factors in Recalling a Product. Academy of Marketing Studies Journal, 14(1), 1.
- Alwitt, L.F., & Prabhaker, P.R. (1994). Identifying who dislikes television advertising: Not by demographics alone. Journal of Advertising Research, 34(6), 17–29.
- Aydin, G., & Karamehmet, B. (2017). A comparative study on attitudes towards SMS advertising and mobile application advertising. International Journal of Mobile Communications, 15(5), 514–536.
- Bagozzi, R.P., & Yi, Y. (2012). Specification, evaluation, and interpretation of structural equation models. Journal of the Academy of Marketing Science, 40(1), 8–34.
- Austin, A., Barnard, J., Hutcheon, N.(2015, July 31). Online Video Consumption - 2015. ZenithOptimedia - www.zenithoptimedia.com. Retrieved June 6, 2016, from http:// www.zenithoptimedia.com/mobile-drive-19-8-increase-online-video-consumption-2016/
- Bauer, R.A., & Greyser, S. A. (1968). Advertising in America: The Consumer View (First edition). Harvard Business School.
- Berthon, P., Pitt, L.F., & Watson, R.T. (1996). The World Wide Web as an advertising medium. Journal of Advertising Research, 36(1), 43–54.
- Bollen, K.A. (1989). Structural Equations with Latent Variables. Wiley.
- Brackett, L.K., & Carr, B.N. (2001). Cyberspace advertising vs. other media: Consumer vs. mature student attitudes. Journal of Advertising Research, 41(5), 23–32.
- Brown, S. P., & Stayman, D.M. (1992). Antecedents and consequences of attitude toward the ad: A meta-analysis. Journal of Consumer Research, 19(1), 34–51.
- Carmines, E.G., & McIver, J.P. (1981). Analyzing models with unobserved variables: Analysis of covariance structures. Social Measurement: Current Issues, 65–115.
- Chin, W.W., Gopal, A., & Salisbury, W.D. (1997). Advancing the theory of adaptive structuration: The development of a scale to measure faithfulness of appropriation. Information Systems Research,8(4),342-367.
- Ducoffe, R.H. (1995). How consumers assess the value of advertising. Journal of Current Issues & Research in Advertising, 17(1), 1-18.
- Ducoffe, R.H. (1996). Advertising value and Advertising on the Web. Journal of Advertising Research, 36(5), 21–35.
- Ducoffe, R.H., & Curlo, E. (2000). Advertising value and advertising processing. Journal of Marketing Communications, 6(4), 247-262.
- Edwards, S.M., Li, H., & Lee, J.-H. (2002). Forced exposure and psychological reactance: Antecedents and consequences of the perceived intrusiveness of pop-up ads. Journal of Advertising, 31(3), 83–95.
- Ferreira, F., & Barbosa, B. (2017). Consumers’ attitude toward Facebook advertising. International Journal of Electronic Marketing and Retailing, 8(1), 45–57.https://doi.org/10.1504/IJEMR.2017.083552
- Hair, J. F., & Anderson, R. E. (2010). Multivariate data analysis. Prentice Hall Higher Education.
- Hsu, H. Y., & Tsou, H.-T. (2011). Understanding customer experiences in online blog environments. International Journal of Information Management, 31(6), 510–523.
- Huarng, K.-H., Yu, T. H.-K., & Huang, J.J. (2010). The impacts of instructional video advertising on customer purchasing intentions on the Internet. Service Business, 4(1), 27–36.
- Kemp, S. (2016). We are Social - Digital world in 2016 (p. 537). Singapore: Retrieved from http://wearesocial.com/uk/special-reports/digital-in-2016
- Knoll, J. (2016). Advertising in social media: a review of empirical evidence. International Journal of Advertising, 35(2), 266–300. https://doi.org/10.1080/02650487.2015.102 1898
- Korgaonkar, P., & Wolin, L. D. (2002). Web usage, advertising, and shopping: relationship patterns. Internet Research, 12(2), 191-204.
- KPMG FICCI. (2016). KPMG FICCI Indian Media and Entertainment Industry Report 2016 (p.305). KPMG. Retrieved from https://home.kpmg.com/in/en/home/events/2016/03/ficci-frames-2016.html
- Larkin, E.F. (1977). A factor analysis of college student attitudes toward advertising. Journal of Advertising, 6(2), 42–46.
- Lee, J., & Lee, M. (2011). Factors influencing the intention to watch online video advertising. Cyberpsychology, Behavior and Social Networking, 14(10), 619–624. http://doi.org/10.1089/cyber.2009.0305
- Logan, K., Bright, L. F., & Gangadharbatla, H. (2012). Facebook versus television: advertising value perceptions among females. Journal of Research in Interactive Marketing, 6(3), 164–179.
- MacKenzie, S. B., & Lutz, R. J. (1989). An empirical examination of the structural antecedents of attitude toward the ad in an advertising pretesting context. The Journal of Marketing, 53(2), 48-65. http://dx.doi.org/10.2307/1251413
- Mirmehdi, S. M., Sanayei, A., & Dolatabadi, H. R. (2017). Structural equation modelling of customer attitudes towards social network advertising: a case of Iranian social networking site. International Journal of Business Excellence, 12(4), 469–488. https:// doi.org/10.1504/IJBEX.2017.085014
- Mukherjee, K., & Banerjee, N. (2017). Effect of Social Networking Advertisements on Shaping Consumers’ Attitude. Global Business Review, 18(5), 1291–1306. https://doi.org/10.1177/0972150917710153
- Murillo, E. (2017). Attitudes toward mobile search ads: a study among Mexican millennial. Journal of Research in Interactive Marketing; Bradford, 11(1), 91–108.
- Neuborne, E. and Hof, R.D. (1998) Branding on the Net. Business Week. 74–86. Retrieved June 19, 2016, from http://www.bloomberg.com/news/articles/1998-11-08/branding-on-the-net
- Nielsen. (2010, April 19). Looking at Lift Inside Online Video Advertising. Retrieved August 3, 2013, from http://www.nielsen.com/us/en/newswire/2010/looking-at-lift-inside-online-video-advertising.html
- Pashkevich, M., Dorai-Raj, S., Kellar, M., & Zigmond, D. (2012). Empowering online advertisements by empowering viewers with the right to choose: the relative effectiveness of skippable video advertisements on YouTube. Journal of Advertising Research,.52(4), 451-457.
- Pavlou, P. A., & Stewart, D. W. (2000). Measuring the effects and effectiveness of interactive advertising: A research agenda. Journal of Interactive Advertising, 1(1), 62–78.
- Pollay, R. W., & Mittal, B. (1993). Here’s the beef: Factors, determinants and segments in consumer criticism of advertising. Journal of Marketing, 57(3), 99-114.
- PricewaterhouseCoopers. (2015, June). Global data insights. Retrieved June 6, 2016, from http://www.pwc.com/gx/en/industries/entertainmentmedia/outlook/data-insights.html
- Rotzoll., K. B., Haefner, J. E., & Sandage, C. H. (1989). Advertising and the classical liberal world view. In Hovland R. and Wilcox G. B.. Advertising in Society (27-41). NTC. Lincolnwood, NJ.
- Salisbury, W. D., Pearson, R. A., Pearson, A. W., & Miller, D. W. (2001). Perceived security and World Wide Web purchase intention. Industrial Management & Data Systems, 101(4), 165–177.
- Sandage, C. H., & Leckenby, J. D. (1980). Student attitudes toward advertising: Institution vs. instrument. Journal of Advertising, 9(2), 29–44.
- Saxena, A. (2011). Blogs and their impact on purchase intention: a structural equation modelling approach. Paradigm, 15(1–2), 102–110.
- Shareef, M.A., Mukerji, B., Dwivedi, Y. K., Rana, N.P., & Islam, R. (2017). Social media marketing: Comparative effect of advertisement sources. Journal of Retailing and Consumer Services. DOI: 10.1016/j.jretconser.2017.11.001
- Shavitt, S., Lowrey, P., & Haefner, J. (1998). Public attitudes toward advertising: More favorable than you might think. Journal of Advertising Research, 38(4), 7–22.
- Shimp, T. A. (1981). Attitude toward the ad as a mediator of consumer brand choice. Journal of Advertising, 10(2), 9–48.
- Song, M., Wang, N., Zhang, X., & Qiao, L. (2018). Factors Motivating Customers’ SNS Brand Page Behaviors: A Comparison Between China and Korea. Pacific Asia Journal of the Association for Information Systems, 9(4), 25–50.
- Spalding, L., Cole, S., & Fayer, A. (2009). How rich-media video technology boosts branding goals different online advertising formats drive different brand-performance metrics. Journal of Advertising Research, 49(3), 285–292.
- Statista. (2015). Online video ad spend worldwide 2015 | Statistic. Retrieved June 5, 2016, from http://www.statista.com/statistics/272856/worldwide-online-video-advertising-spending-forecast/
- Stewart, D. W. (1999). Advertising wearout: What and how you measure matters. Journal of Advertising Research, 39(5), 39-43.
- Taylor, D.G., Lewin, J. E., & Strutton, D. (2011). Friends, fans, and followers: do ads work on social networks? How gender and age shape receptivity. Journal of Advertising Research, 51(1), 258–275.
- Wu, I.-L., & Hsiao, W.-H. (2017). Involvement, content and interactivity drivers for consumer loyalty in mobile advertising: the mediating role of advertising value. International Journal of Mobile Communications, 15(6), 577–603. https://doi.org/10.1504/IJMC.2017.086878
- Xu, H., Oh, L.-B., & Teo, H.-H. (2009). Perceived effectiveness of text vs. multimedia location-based advertising messaging. International Journal of Mobile Communications, 7(2), 154–177.
- Zhang, J., & Mao, E. (2016). From Online Motivations to Ad Clicks and to Behavioral Intentions: An Empirical Study of Consumer Response to Social Media Advertising. Psychology & Marketing, 33(3), 155–164. https://doi.org/10.1002/mar.20862