Effect of mid-roll video advertising value and perceived intrusiveness on Facebook viewers’ response: the mediating roles of attitude and word-of-mouth intention

References

• Abbasi, A. Z., Rehman, U., Hussain, A., Ting, D. H., & Islam, J. U. (2021). The impact of advertising value of in-game pop-up ads in online gaming on gamers’ inspiration: An empirical investigation. Telematics and Informatics, 62(6), 101630. https://doi.org/10.1016/j.tele.2021.101630
   Google Scholar
• Ajzen, I., & Fishbein, M. (1980). Understanding attitudes and predicting social behaviour. Prentice-Hall.
   Google Scholar
• Awang, Z. (2015). SEM made simple: A gentle approach to learning structural equation modeling. MPWS Rich Publication.
   Google Scholar
• Bauer, R. A., & Greyser, S. A. (1968). Advertising in America: The Consumer View. Harvard University.
   Google Scholar
• Beatty, S. E., Kahle, L. R., Homer, P., & Misra, S. (1985). Alternative measurement approaches to consumer values: The list of values and the rokeach value survey. Psychology & Marketing, 2(3), 181–22. https://doi.org/10.1002/mar.4220020305
   Google Scholar
• Belanche, D., Flavián, C., & Pérez-Rueda, A. (2017). User adaptation to interactive advertising formats: The effect of previous exposure, habit and time urgency on ad skipping behaviors. Telematics and Informatics, 34(7), 961–972. https://doi.org/10.1016/j.tele.2017.04.006
   Web of Science ®Google Scholar
• Berman, E. A. (2017). An exploratory sequential mixed methods approach to understanding researchers’ data management practices at uvm: integrated findings to develop research data services. Journal of eScience Librarianship, 6(1), e1104. https://doi.org/10.7191/jeslib.2017.1104
   Google Scholar
• Brackett, L. K., & Carr, B. N. (2001). Cyberspace advertising vs. other media: Consumer vs mature student attitudes. Journal of Advertising Research, 41(5), 23–33. https://doi.org/10.2501/JAR-41-5-23-32
   Web of Science ®Google Scholar
• Chen, Q., & Wells, W. D. (1999). Attitude toward the Site. Journal of Advertising Research, 39(5), 27–37.
   Web of Science ®Google Scholar
• Cho, C.-H., (2004). Why do people avoid advertising on the internet? Journal of Advertising, 33(4), 89–97. https://doi.org/10.1080/00913367.2004.10639175
   Web of Science ®Google Scholar
• Collier, J. E. (2020). Applied structural equation modeling using AMOS: Basic to advanced techniques. Routledge, Taylor & Francis Group.
   Google Scholar
• Creswell, J. W., & Clark, V. L. P. (2017). Designing and conducting mixed methods research (3rd ed.). Sage Publications.
   Google Scholar
• Ducoffe, R. H. (1995). How consumers assess the value of advertising. Journal of Current Issues and Research in Advertising, 17(1), 1–18. https://doi.org/10.1080/10641734.1995.10505022
   Google Scholar
• Ducoffe, R. H., & Curlo, E. (2000). Advertising value and advertising processing. Journal of Marketing Communications, 6(4), 247–262. https://doi.org/10.1080/135272600750036364
   Google Scholar
• Durukan, T., & Bozaci, I. (2012). A survey on determinants of word of mouth in social media. International Journal of Economics and Management Sciences, 1(7), 36–44.
   Google Scholar
• Dutta-Bergman, M. J. (2006). The demographic and psychographic antecedents of attitude toward advertising. Journal of Advertising Research, 46(1), 102–111. https://doi.org/10.2501/S0021849906060119
   Web of Science ®Google Scholar
• 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. https://doi.org/10.1080/00913367.2002.10673678
   Web of Science ®Google Scholar
• Gaber, H. R., Wright, L. T., Kooli, K., & Kostadinova, E. (2019). Consumer attitudes towards Instagram advertisements in Egypt: The role of the perceived advertising value and personalization. Cogent Business & Management, 6(1), 1618431. https://doi.org/10.1080/23311975.2019.1618431
   Web of Science ®Google Scholar
• Goodrich, K., Schiller, S. Z., & Galletta, D. (2015). Consumer reactions to intrusiveness of online-video advertisements. Journal of Advertising Research, 55(1), 37–50. https://doi.org/10.2501/JAR-55-1-037-050
   Web of Science ®Google Scholar
• Ha, L., & McCann, K. (2008). An integrated model of advertising clutter in offline and online media. International Journal of Advertising, 27(4), 569–592. https://doi.org/10.2501/S0265048708080153
   Web of Science ®Google Scholar
• Hair, J., Black, W. C., Babin, B. J., & Anderson, R. E. (2010). Multivariate Data Analysis (7th ed.). Prentice Hall.
   Google Scholar
• Hair, J., Gabriel, M., & Patel, V. (2014). AMOS covariance-based structural equation modeling (CB-SEM): Guidelines on its application as a marketing research tool. Brazilian Journal of Marketing, 13(2), 44–55. https://doi.org/10.5585/remark.v13i2.2718
   Google Scholar
• Hox, J. J., Moerbeek, M., & Schoot, R. V. D. (2017). Multilevel analysis: Techniques and applications (3rd ed.). Routledge, Taylor & Francis Group.
   Google Scholar
• Hsieh, A.-Y., Lo, S.-K., Chiu, Y.-P., & Lie, T. (2021). Do not allow pop-up ads to appear too early: Internet users’ browsing behaviour to pop-up ads. Behaviour & Information Technology, 40(16), 1796–1805. https://doi.org/10.1080/0144929X.2020.1784282
   Web of Science ®Google Scholar
• Hsin Chang, H., Rizal, H., & Amin, H. (2013). The determinants of consumer behavior towards email advertisement. Internet Research, 23(3), 316–337. https://doi.org/10.1108/10662241311331754
   Web of Science ®Google Scholar
• Hu, L. T., & Bentler, P. M. (1999). Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Structural Equation Modeling: A Multidisciplinary Journal, 6(1), 1–55.
   Web of Science ®Google Scholar
• Jones, M. A., & Reynolds, K. E. (2006). The role of retailer interest on shopping behavior. Journal of Retailing, 82(2), 115–126. https://doi.org/10.1016/j.jretai.2005.05.001
   Web of Science ®Google Scholar
• José-Cabezudo, R. S., & Camarero-Izquierdo, C. (2012). Determinants of opening-forwarding E-Mail messages. Journal of Advertising, 41(2), 97–112. https://doi.org/10.2753/JOA0091-3367410207
   Web of Science ®Google Scholar
• Kang, M. Y., & Park, B. (2018). Sustainable corporate social media marketing based on message structural features: Firm size plays a significant role as a moderator. Sustainability, 10(4), 1167. https://doi.org/10.3390/su10041167
   Web of Science ®Google Scholar
• Kemp, S. (2022). Digital 2022: Global overview report, Datareportal. Retrieved 15 March 2022 from https://datareportal.com/reports/digital-2022-global-overview-report
   Google Scholar
• Kent, R., & Brandal, H. (2003). Improving email response in a permission marketing context. International Journal of Market Research, 45(4), 1–13. https://doi.org/10.1177/147078530304500404
   Web of Science ®Google Scholar
• Kim, S. (2015). Effects of Ad-Video Similarity, Ad Location, and User Control Option on Ad Avoidance and Advertiser-Intended Outcomes of Online Video Ads. (University of Minnesota). https://hdl.handle.net/11299/175210
   Google Scholar
• Ko, H., Cho, C.-H., & Roberts, M. S. (2005). Internet uses and gratifications: A structural equation model of interactive advertising. Journal of Advertising, 34(2), 57–70. https://doi.org/10.1080/00913367.2005.10639191
   Web of Science ®Google Scholar
• Kongsagoonwong, T., & Ngamkroeckjoti, C. (29-30 November 2018). A reflection of mid-roll YouTube Advertising effectiveness (MYAe): A case study in Thailand. Proceedings of the 8th national and international conference on humanities and social sciences, Prince of Songkla University, Phuket, Thailand.
   Google Scholar
• Krishnan, S. S., & Sitaraman, R. K. (2013). Understanding the effectiveness of video ads: A measurement study. The 2013 Internet Measurement Conference, October, 23-25, 2013. (Association for Computing Machinery: Barcelona, Spain). https://doi.org/10.1145/2504730.2504748
   Google Scholar
• Kumar, R., & Kaushal, S. K. (2016). Influence of attitude towards advertisement on purchase intention: Exploring the mediating role of attitude towards brand using SEM Approach. The IUP Journal of Marketing Management, 15(4), 44–59. https://ssrn.com/abstract=3075718
   Google Scholar
• Kwok, L., Mao, Z., & Huang, Y.-K. (2019). Consumers’ electronic word-of-mouth behavioral intentions on Facebook: Does message type have an effect? Tourism and Hospitality Research, 19(3), 296–307. https://doi.org/10.1177/1467358417742684
   Web of Science ®Google Scholar
• Lee, Y.-G., Byon, K. K., Ammon, R., & Park, S.-B. R. (2016). Golf product advertising value, attitude toward advertising and brand, and purchase intention. Social Behavior and Personality: An International Journal, 44(5), 785–800. https://doi.org/10.2224/sbp.2016.44.5.785
   Web of Science ®Google Scholar
• Lee, E.-B., Lee, S.-G., & Yang, C.-G. (2017). The influences of advertisement attitude and brand attitude on purchase intention of smartphone advertising. Industrial Management & Data Systems, 117(6), 1011–1036. https://doi.org/10.1108/IMDS-06-2016-0229
   Web of Science ®Google Scholar
• Lien, C. H., & Cao, Y. (2014). Examining WeChat users’ motivations, trust, attitudes, and positive word-of-mouth: Evidence from China. Computers in Human Behavior, 41(12), 104–111. https://doi.org/10.1016/j.chb.2014.08.013
   Google Scholar
• Lim, W. M. (2015). The influence of internet advertising and electronic word of mouth on consumer perceptions and intention: Some evidence from online group buying. Journal of Computer Information Systems, 55(4), 81–89. https://doi.org/10.1080/08874417.2015.11645790
   Web of Science ®Google Scholar
• Logan, K., Bright, L. F., Gangadharbatla, H., & Dix, S. (2012). Facebook versus television: Advertising value perceptions among females. Journal of Research in Interactive Marketing, 6(3), 164–179. https://doi.org/10.1108/17505931211274651
   Google Scholar
• Luna-Nevarez, C., & Torres, I. M. (2015). Consumer attitudes toward social network advertising. Journal of Current Issues & Research in Advertising, 36(1), 1–19. https://doi.org/10.1080/10641734.2014.912595
   Google Scholar
• MacKenzie, S. B., Lutz, R. J., & Belch, G. E. (1986). The Role of attitude toward the ad as a mediator of advertising effectiveness: A test of competing explanations. Journal of Marketing Research, 23(2), 130–143. https://doi.org/10.1177/002224378602300205
   Web of Science ®Google Scholar
• Madhavan, V., George, S., Kidiyoor, G., & Pai, Y. P. (2019). Perceived intrusiveness of rich media ads in online advertising: Evidences from young Indian travellers. Cogent Economics & Finance, 7(1), 1645631. https://doi.org/10.1080/23322039.2019.1645631
   Web of Science ®Google Scholar
• Marsh, H. W., Guo, J., Dicke, T., Parker, P. D., & Craven, R. G. (2020). Confirmatory factor analysis (CFA), exploratory structural equation modeling (ESEM), and Set-ESEM: Optimal balance between goodness of fit and parsimony. Multivariate Behavioral Research, 55(1), 102–119. https://doi.org/10.1080/00273171.2019.1602503
   PubMed Web of Science ®Google Scholar
• Martin, B. A. S., Durme, J. V., Raulas, M., & Merisavo, M. (2003). Email advertising: Exploratory insights from Finland. Journal of Advertising Research, 43(3), 293–300. https://doi.org/10.1017/S0021849903030265
   Web of Science ®Google Scholar
• McCoy, S., Everard, A., Galletta, D. F., & Moody, G. D. (2017). Here we go again! The impact of website ad repetition on recall, intrusiveness, attitudes, and site revisit intentions. Information & Management, 54(1), 14–24. https://doi.org/10.1016/j.im.2016.03.005
   Web of Science ®Google Scholar
• Meyers, L., Gamst, G., & Guarino, A. (2005). Applied Multivariate Research: Design and Interpretation. Sage Publications.
   Google Scholar
• Mogaji, E., & Wright, L. T. (2016). This advert makes me cry: Disclosure of emotional response to advertisement on facebook. Cogent Business & Management, 3(1), 1177906. https://doi.org/10.1080/23311975.2016.1177906
   Web of Science ®Google Scholar
• 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
   Web of Science ®Google Scholar
• Pelsmacker, P. D., Dens, N., & Verberckmoes, S. (2019). How ad congruity and interactivity affect fantasy game players’ attitude toward in-game advertising. Journal of Electronic Commerce Research, 20(1), 55–74.
   Web of Science ®Google Scholar
• Prendergast, G., Liu, P. Y., & Poon, D. T. Y. (2009). A Hong Kong study of advertising credibility. Journal of Consumer Marketing, 26(5), 320–329. https://doi.org/10.1108/07363760910976574
   Google Scholar
• Ranaweera, C., & Karjaluoto, H. (2017). The impact of service bundles on the mechanism through which functional value and price value affect WOM intent. Journal of Service Management, 28(4), 707–723 doi:. https://doi.org/10.1108/JOSM-03-2016-0065
   Web of Science ®Google Scholar
• Rawat, S., Chopra, A., Singh, S., & Sinha, S. (2019). Mid roll advertisement placement using multi modal emotion analysis: International Conference on Artificial Neural Networks. September 17-19, 2019. 11730. (Springer) . https://doi.org/10.1007/978-3-030-30490-4_14
   Google Scholar
• Rönkkö, M., & Cho, E. (2020). An updated guideline for assessing discriminant validity. Organizational Research Methods, 25(1), 6–47. https://doi.org/10.1177/1094428120968614
   Web of Science ®Google Scholar
• 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. https://doi.org/10.1108/02635570110390071
   Web of Science ®Google Scholar
• Schoonenboom, J., & Johnson, R. B. (2017). How to construct a mixed methods research design. KZfSS Kölner Zeitschrift für Soziologie und Sozialpsychologie, 69(2), 107–131. https://doi.org/10.1007/s11577-017-0454-1
   PubMed Web of Science ®Google Scholar
• Shareef, M. A., Mukerji, B., Dwivedi, Y. K., Rana, N. P., & Islam, R. (2019). Social media marketing: Comparative effect of advertisement sources. Journal of Retailing and Consumer Services, 46(1), 58–69. https://doi.org/10.1016/j.jretconser.2017.11.001
   Web of Science ®Google Scholar
• Shih, H.-P., Lai, K.-H., & Cheng, T. C. E. (2013). Informational and Relational Influences on electronic word of mouth: An empirical study of an online consumer discussion forum. International Journal of Electronic Commerce, 17(4), 137–166. https://doi.org/10.2753/JEC1086-4415170405
   Web of Science ®Google Scholar
• Statista, (2022). Leading countries based on Facebook audience size as of January 2022, Statista Research Department. Retrieved 15 March 2022 from https://www.statista.com/statistics/268136/top-15-countries-based-on-number-of-facebook-users/
   Google Scholar
• Taber, K. S. (2018). The use of cronbach’s alpha when developing and reporting research instruments in science education. Research in Science Education, 48(6), 1273–1296. https://doi.org/10.1007/s11165-016-9602-2
   Web of Science ®Google Scholar
• Tang, J., Zhang, P., & Wu, P. F. (2015). Categorizing consumer behavioral responses and artifact design features: The case of online advertising. Information Systems Frontiers, 17(3), 513–532. https://doi.org/10.1007/s10796-014-9508-3
   Web of Science ®Google Scholar
• Tresa Sebastian, A., Lal, B., Anupama, J., Varghese, J., Agnus Tom, A., Rajkumar, E., Joshua George, A., Jeyavel, S., Pandey, V., Wajid, M., John, R., & Awan, U. (2021). Exploring the opinions of the youTube visitors towards advertisements and its influence on purchase intention among viewers. Cogent Business & Management, 8(1), 1876545. https://doi.org/10.1080/23311975.2021.1876545
   Web of Science ®Google Scholar
• Trivedi, R. H., & Teichert, T. (2019). The effect of ad smiles on consumer attitudes and intentions: Influence of model gender and consumer gender. Journal of Business Research, 99(6), 197–205. https://doi.org/10.1016/j.jbusres.2019.02.052
   Google Scholar
• Tsang, M. M., Ho, S.-C., & Liang, T.-P. (2004). Consumer attitudes toward mobile advertising: An empirical study. International Journal of Electronic Commerce, 8(3), 65–78. https://doi.org/10.1080/10864415.2004.11044301
   Web of Science ®Google Scholar
• Tudoran, A. A. (2019). Why do internet consumers block ads? New evidence from consumer opinion mining and sentiment analysis. Internet Research, 29(1), 144–166. https://doi.org/10.1108/IntR-06-2017-0221
   Web of Science ®Google Scholar
• Wagner, K. (2017). Facebook is starting to put ads in the middle of its videos VOX. Retrieved 5 January 2022 from https://www.vox.com/2017/2/23/14707484/facebook-video-ad-test-midroll
   Google Scholar
• Wahid, N. A., & Ahmed, M. (2011). The effect of attitude toward advertisement on Yemeni female consumers’ attitude toward brand and purchase intention. Global Business and Management Research: An International Journal, 3(1), 21–29.
   Google Scholar
• Wang, S.-L., & Lan, N. T. N. (2018). A study on the attitude of customer towards viral video advertising on social media: A case study in Vietnam. The International Journal of Engineering and Science, 7(6), 54–60. doi:10.9790/1813-0706035460
   Google Scholar
• Wang, Y., & Sun, S. (2010). Examining the role of beliefs and attitudes in online advertising. International Marketing Review, 27(1), 87–107. https://doi.org/10.1108/02651331011020410
   Web of Science ®Google Scholar
• Weaver, B. (2018). Mid Roll Ads: What are They & How Can You Use Them Most Effectively? Postclick. Retrieved 28 February 2022 from https://instapage.com/blog/mid-roll-ads
   Google Scholar
• Widmer, B. (2017). The definitive guide to Facebook advertising. Oberlo. https://www.datocms-assets.com/22581/1592213306-definitive-guide-to-facebook-advertising.pdf
   Google Scholar
• 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.
   Web of Science ®Google Scholar
• Yang, K.-C., Huang, C.-H., Yang, C., & Yang, S. Y. (2017). Consumer attitudes toward online video advertisement: YouTube as a platform. Kybernetes, 46(5), 840–853. https://doi.org/10.1108/K-03-2016-0038
   Web of Science ®Google Scholar
• Yu, Z., Klongthong, W., Thavorn, J., Ngamkroeckjoti, C., & Gupta, M. (2021). Understanding rural Chinese consumers’ behavior: A stimulus–organism–response (S-O-R) perspective on Huawei’s brand loyalty in China. Cogent Business & Management, 8(1), 1880679. https://doi.org/10.1080/23311975.2021.1880679
   Web of Science ®Google Scholar
• Zha, X., Li, J., & Yan, Y. (2015). Advertising value and credibility transfer: Attitude towards web advertising and online information acquisition. Behaviour & Information Technology, 34(5), 520–532. https://doi.org/10.1080/0144929X.2014.978380
   Web of Science ®Google Scholar