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Factors Influencing Ad Abstinence Behaviors of YouTube Viewers: A Study on the Students of University of Barishal

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  • Most. Sharmin Sultana

    (Department of Marketing, University of Barishal, Barishal -8254, Bangladesh.)

  • Tasmin Jahan

    (Department of Marketing, University of Barishal, Barishal -8254, Bangladesh.)

  • Md. Sakib Hossain

    (Department of Marketing, University of Barishal, Barishal -8254, Bangladesh.)

Abstract

Online advertising has expanded quickly in the modern era to draw in a large number of targeted consumers. One of the most widely used venues for marketers and advertisers to promote their brands, goods, or services is YouTube. However, because most consumers prefer to ignore or bypass YouTube commercials, some are seen to be inefficient in influencing consumer purchase behavior. Therefore, the purpose of this study is to identify the variables affecting YouTube users' ad abstention behavior. It talked about the six criteria used in YouTube advertisements, which were disturbing, incredulity of ad message, ad clutter, time consuming, perceived unnecessariness, and interruptive to work. This study used an online survey and quantitative research methods to examine the problem statement with the goal of comprehending an individual's viewpoints. 140 individuals who have first-hand experience with YouTube streaming provided the data. The analysis of the collected data was done with SPSS version 22. Among the statistical techniques used were multiple regression analysis, correlation, reliability analysis, descriptive statistics, and hypothesis testing. The results demonstrated that all the six factors have a significant impact on the ad abstention behavior of YouTube viewers. Disturbance, time consumption, work interruption, ad clutter and perceived unnecessariness are thought to be the principal factors that should be taken into account when evaluating the effectiveness of YouTube commercials. The study's conclusions are important from a theoretical and practical standpoint.

Suggested Citation

  • Most. Sharmin Sultana & Tasmin Jahan & Md. Sakib Hossain, 2024. "Factors Influencing Ad Abstinence Behaviors of YouTube Viewers: A Study on the Students of University of Barishal," Journal of Scientific Reports, IJSAB International, vol. 7(1), pages 28-39.
    • Handle: RePEc:aif:report:v:7:y:2024:i:1:p:28-39
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    References listed on IDEAS

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    1. Avi Goldfarb & Catherine Tucker, 2011. "Online Display Advertising: Targeting and Obtrusiveness," Marketing Science, INFORMS, vol. 30(3), pages 389-404, 05-06.
    2. Chakraborty, Soumyakanti & Basu, Sumanta & Ray, Saibal & Sharma, Megha, 2021. "Advertisement revenue management: Determining the optimal mix of skippable and non-skippable ads for online video sharing platforms," European Journal of Operational Research, Elsevier, vol. 292(1), pages 213-229.
    3. Amir Abedini Koshksaray & Elnaz Nabizadeh, 2017. "Internet Advertising Pleasure and Purchase Intention," International Journal of Innovation in the Digital Economy (IJIDE), IGI Global, vol. 8(4), pages 30-47, October.
    4. Avi Goldfarb & Catherine Tucker, 2011. "Rejoinder--Implications of "Online Display Advertising: Targeting and Obtrusiveness"," Marketing Science, INFORMS, vol. 30(3), pages 413-415, 05-06.
    5. Calder, Bobby J. & Malthouse, Edward C. & Schaedel, Ute, 2009. "An Experimental Study of the Relationship between Online Engagement and Advertising Effectiveness," Journal of Interactive Marketing, Elsevier, vol. 23(4), pages 321-331.
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