Abstract
The growth of Internet has completely changed the advertising ecosystem, with advertising spending moving from traditional to digital formats. Indeed, digital advertising surpassed television spending for the very first time in 2017 (Magna 2017). Digital advertising investment (including all different display formats such as banners, images, text, audio or video, together with search and social platforms ads) is estimated to take 44.0 percent of all advertising global budget in 2018 (Magna 2017).
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References
Aaker, D. A.; Batra R. and J. G. Myers (1992), “Advertising Management,” Prentice Hall, Englewood Cliffs, NJ.
Angell, R., Gorton, M.; Sauer, J.; Bottomley, P. and J. White (2016), “Don’t Distract Me When I’m Media Multitasking: Toward a Theory for Raising Advertising Recall and Recognition,” in: Journal of Advertising, Vol. 45 (2), 198-210.
Ariely, D. and G. S. Berns (2010), “Neuromarketing: The Hope and Hype of Neuroimaging in Business.” In: Nature Reviews Neuroscience Vol. 11 (4), 284-292.
Bakalash, T. and H. Riemer (2013), “Exploring Ad-elicited Emotional Arousal and Memory for the Ad Using fMRI,” in: Journal of Advertising Vol. 42 (4), 275-291.
Belanche, D.; Casaló, L. V. and C. Flavián (2010), “Providing Online Public Services Successfully: The Role of Confirmation of Citizens’ Expectations,” in: International Review on Public and Nonprofit Marketing Vol. 7 (2), 167-184.
Belanche, D.; Flavián, C. and A. Pérez-Rueda (2017a), “Understanding Interactive Online Advertising: Congruence and Product Involvement in Highly and Lowly Arousing, Skippable Video Ads,” in: Journal of Interactive Marketing Vol. 37, 75-88.
Belanche, D.; Flavián, C. and A. Pérez-Rueda (2017b), “User Adaptation to Interactive Advertising Formats: The Effect of Previous Exposure, Habit and Time Urgency on Ad Skipping Behaviors,” Telematics and Informatics Vol. 34 (7), 961-972.
Bellizzi, J. A. and R. E. Hite (1992), “Environmental Color, Consumer Feelings, and Purchase Likelihood,” in: Psychology & marketing Vol. 9 (5), 347-363.
Bellman, S. (2007), “Theory and Measurement of Type 1 and Type 2 Emotions,” in: Australasian Marketing Journal Vol. 15 (1), 14-22.
Bialkova, S. and H. Van Trijp (2010), “What Determines Consumer Attention to Nutrition Labels?,” in: Food Quality and Preference Vol. 21(8), 1042-1051.
Campbell, C.; Mattison Thompson, F.; Grimm, P. E. and K. Robson (2017), “Understanding Why Consumers Don’t Skip Pre-roll Video Ads,” in: Journal of Advertising Vol. 46 (3), 411-423.
Cauberghe, V. and P. De Pelsmacker (2008), “The Impact of Banners on Digital Television: The Role of Program Interactivity and Product Involvement,” in: CyberPsychology & Behavior Vol. 11 (1), 91-94.
Cho, C. H.; Lee, J. G. and M. Tharp (2001), “Different Forced-exposure Levels to Banner Advertisements,” in: Journal of Advertising Research Vol. 41 (4), 45-56.
Cronbach, L. J. (1970), “Essentials of Psychological Testing,” Harper and Row, New York.
Desimone, R. and J. Duncan (1995), “Neural Mechanisms of Selective Visual Attention,” in: Annual Review of Neuroscience Vol. 18 (1), 193-222.
Fortin, D. R. and R. R. Dholakia (2005), “Interactivity and Vividness Effects on Social Presence and Involvement with a Web-based Advertisement,” in: Journal of Business Research Vol. 58 (3), 387-396.
Gould, D. and V. Krane (1992), “The Arousal-performance Relationship: Current Status and Future directions,“ in Horn T. (eds.): Advances in Sport Psychology, Human Kinetics, Champaign, IL, 142-149.
Ha, L. (2017), “Digital Advertising Clutter in an Age of Mobile Media,” in Rodgers, S. and Thorson E. (2017) (eds.): Digital Advertising: Theory and Research, Routeldge, New York, 69-85.
Ha, L. and K. McCann (2008), “An Integrated Model of Advertising Clutter in Offline and Online Media,” in: International Journal of Advertising Vol. 27 (4), 569-592.
Handely, L. (2017), “Facebook and Google Predicted to Make $106 Billion from Advertising in 2017, almost Half of World’s Digital Ad Spend,” in: CNBC. https://www.cnbc.com/2017/03/21/facebook-and-google-ad-youtube-make-advertising-in-2017.html
Henthorne, T. L.; LaTour, M. S. and R. Nataraajan 1993. “Fear Appeals in Print Advertising: An Analysis of Arousal and Ad Response,” in: Journal of Advertising Vol. 22 (2), 59-69.
Hernández, R. (2018), “Estadísticas de Redes Sociales 2018,” in http://rodrigohm.com/estadisticas-redes-sociales-2018/
Hernández-Méndez, J. and F. Muñoz-Leiva (2015), “What Type of Online Advertising is Most Effective for eTourism 2.0?: An Eye Tracking Study Based on the Characteristics of Tourists,” in: Computers in Human Behavior Vol. 50, 618-625.
Hofacker, C. F. and D. Belanche (2016), “Eight Social Media Challenges for Marketing Managers,” in: Spanish Journal of Marketing-ESIC Vol. 20 (2), 73-80.
Huang, J.; Su, S.; Zhou, L. and X. Liu (2013), “Attitude Toward the Viral Ad: Expanding Traditional Advertising Models to Interactive Advertising,” in: Journal of Interactive Marketing Vol. 27 (1), 36-46.
Hussain, D. and H. Lasage (2014), “Online Video Advertisement Avoidance: Can Interactivity Help?,” in: Journal of Applied Business Research Vol. 30 (1), 43-49.
INE (2018), “Instituto Nacional de Estadística: Población que usa Internet,” in: INE. http://www.ine.es/ss/Satellite?L=es_ES&c=INESeccion_C&cid=1259925528782&p=1254735110672&pagename=ProductosYServicios%2FPYSLayout
Jeong, E. J. and F. A. Biocca (2012), “Are There Optimal Levels of Arousal to Memory? Effects of Arousal, Centrality, and Familiarity on Brand Memory in Video Games,” in: Computers in Human Behavior Vol. 28 (2), 285-291.
Krishnan, S. S. and R. K. Sitaraman (2013), “Understanding the Effectiveness of Video Ads: a Measurement Study,” in Proceedings of the 2013 conference on Internet measurement conference. 149-62. New york: ACM.
Kuisma, J.; Simola, J.; Uusitalo, L. and A. Öörni (2010), “The Effects of Animation and Format on the Perception and Memory of Online Advertising,” in Journal of Interactive Marketing Vol. 24 (4), 269-282.
Lang, A. (2000), “The Limited Capacity Model of Mediated Message Processing,” in: Journal of Communication Vol. 50 (1), 46-70.
Leventhal, H. and R. P. Singer (1966), “Affect Arousal and Positioning of Recommendations in Persuasive Communications,” in: Journal of Personality and Social Psychology Vol. 4 (2), 137-146.
Magna (2017), “Magna Advertising Forecasts Winter Update,” in: Magna Global. https://magnaglobal.com/magna-advertising-forecasts-winter-update/
Marinucci, J. (2018), “Five Social Media Trends That Will Impact Digital Advertising,” in: Forbes. https://www.forbes.com/sites/forbesagencycouncil/2018/09/14/five-social-media-trends-that-will-impact-digital-advertising/#26f4eebe2f05
McDuff, D. (2017), “New Methods for Measuring Advertising Efficacy,” in Rodgers, S. and Thorson E. (2017) (eds.): Digital Advertising: Theory and Research, Routeldge, New York, 327-342.
Okazaki, S. (2007), “Exploring Gender Effects in a Mobile Advertising Context: on the Evaluation of Trust, Attitudes, and Recall,” in: Sex Roles Vol. 57 (11-12), 897-908.
Olney, T. J.; Holbrook, M. B. and R. Batra (1991), “Consumer Responses to Advertising: The Effects of Ad Content, Emotions, and Attitude Toward the Ad on Viewing Time,” in: Journal of Consumer Research Vol. 17 (4), 440-453.
Pashkevich, M.; Dorai-Raj, S.; Kellar, M. and D. Zigmond (2012), “Empowering Online Advertisements by Empowering Viewers with the Right to Choose: The Relative Effectiveness of Skippable Video Advertisements on YouTube,” in: Journal of Advertising Research Vol. 52 (4), 451-457.
Poels, K. and S. Dewitte (2006), “How to Capture the Heart? Reviewing 20 Years of Emotion Measurement in Advertising,” in: Journal of Advertising Research Vol. 46 (1), 18-37.
Raney, A. A.; Arpan, L. M.; Pashupati, K.. and D. A. Brill (2003), “At the Movies, on the Web: An Investigation of the Effects of Entertaining and Interactive Web Content on Site and Brand Evaluations,” in: Journal of Interactive Marketing Vol. 17 (4), 38-53.
Shapiro, S. and D. J. MacInnis (2002), “Understanding Program-induced Mood Effects: Decoupling Arousal from Valence,” in: Journal of Advertising Vol. 31 (4), 15-26.
Sharot, T. and E. A. Phelps (2004), “How Arousal Modulates Memory: Disentangling the Effects of Attention and Retention,” in: Cognitive, Affective, and Behavioral Neuroscience Vol. 4 (3), 294-306.
Texeira, T.; Wedel, M. and R. Pieters (2012), “Emotion-induced engagement in internet video ads,” in: Journal of Marketing Research Vol. 49 (2), 144-159.
Yi, Y. (1990), “Cognitive and Affective Priming Effects of the Context for Print Advertisements,” in: Journal of Advertising Vol. 19 (2), 40-48.
YouTube (2018), “How Video Ads Work,” in YouTube. https://support.google.com/displayspecs/answer/6244557?hl=en
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Belanche, D., Flavián, C., Pérez-Rueda, A. (2019). Stimulating Users in Online Pre-Roll Ads: How to Use Arousal for Different Advertising Audiences. In: Bigne, E., Rosengren, S. (eds) Advances in Advertising Research X. European Advertising Academy. Springer Gabler, Wiesbaden. https://doi.org/10.1007/978-3-658-24878-9_10
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