IDEAS home Printed from https://ideas.repec.org/a/aii/ijcmss/v6y2015i3p20-25.html
   My bibliography  Save this article

The Impact of Humorous Television Advertisement in Customer Opinion in Bahrain

Author

Listed:
  • Dr. Makarand Upadhyaya

    (Associate Professor, Department of Management & Marketing, College of BusinessAdministration, University of Bahrain, Bahrain.)

Abstract

This study sought to find out the role of humorous television advertising in viewer persuasion and why humour is used. Factors behind achieving effective humorous television advertisements were investigated. Questionnaires were administered to a sample of 100 and 350 respondents from advertisers and television viewers respectively. Self-selection and convenience sampling methods were used for advertisers and viewers respectively. The study revealed that advertising practitioners use humorous television advertisements because they believed it was better at achieving communication goals. Situational factors like product features, media placement as well as audience factors were very important considerations for effective humorous television advertisements. There was also a positive relation between humorous television advertisements and persuasion. However, certain conditions must be met. Practitioners must know their target audience very well to be sure if particular humour treatment will be effective or not. Objectives for any particular advertisement should be clear so as to use humorous television advertisements appropriately.

Suggested Citation

  • Dr. Makarand Upadhyaya, 2015. "The Impact of Humorous Television Advertisement in Customer Opinion in Bahrain," Indian Journal of Commerce and Management Studies, Educational Research Multimedia & Publications,India, vol. 6(3), pages 20-25, September.
  • Handle: RePEc:aii:ijcmss:v:6:y:2015:i:3:p:20-25
    as

    Download full text from publisher

    File URL: http://scholarshub.net/index.php/ijcms/article/view/122/116
    Download Restriction: no

    File URL: http://scholarshub.net/index.php/ijcms/article/view/122
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Bharat Anand & Ron Shachar, 2009. "Targeted advertising as a signal," Quantitative Marketing and Economics (QME), Springer, vol. 7(3), pages 237-266, September.
    2. Raj, S P, 1982. "The Effects of Advertising on High and Low Loyalty Consumer Segments," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 9(1), pages 77-89, June.
    3. Kihlstrom, Richard E & Riordan, Michael H, 1984. "Advertising as a Signal," Journal of Political Economy, University of Chicago Press, vol. 92(3), pages 427-450, June.
    4. Gary S. Becker & Kevin M. Murphy, 1993. "A Simple Theory of Advertising as a Good or Bad," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 108(4), pages 941-964.
    5. Dmitri Byzalov & Ron Shachar, 2004. "The Risk Reduction Role of Advertising," Quantitative Marketing and Economics (QME), Springer, vol. 2(4), pages 283-320, December.
    6. Holbrook, Morris B & Hirschman, Elizabeth C, 1982. "The Experiential Aspects of Consumption: Consumer Fantasies, Feelings, and Fun," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 9(2), pages 132-140, September.
    7. Hamilton, Stephen F. & Richards, Timothy J. & Stiegert, Kyle W., 2009. "How Does Advertising Affect Market Performance? The Case of Generic Advertising," 2009 Annual Meeting, July 26-28, 2009, Milwaukee, Wisconsin 49187, Agricultural and Applied Economics Association.
    8. Ackerberg, Daniel A, 2001. "Empirically Distinguishing Informative and Prestige Effects of Advertising," RAND Journal of Economics, The RAND Corporation, vol. 32(2), pages 316-333, Summer.
    9. Ron Shachar & Bharat N. Anand, 1998. "The Effectiveness and Targeting of Television Advertising," Journal of Economics & Management Strategy, Wiley Blackwell, vol. 7(3), pages 363-396, September.
    10. Hoch, Stephen J & Ha, Young-Won, 1986. "Consumer Learning: Advertising and the Ambiguity of Product Experience," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 13(2), pages 221-233, September.
    11. Weilbacher, William M., 2003. "How Advertising Affects Consumers," Journal of Advertising Research, Cambridge University Press, vol. 43(2), pages 230-234, June.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Nitin Mehta & Xinlei (Jack) Chen & Om Narasimhan, 2008. "Informing, Transforming, and Persuading: Disentangling the Multiple Effects of Advertising on Brand Choice Decisions," Marketing Science, INFORMS, vol. 27(3), pages 334-355, 05-06.
    2. Duncan Simester & Yu (Jeffrey) Hu & Erik Brynjolfsson & Eric T. Anderson, 2009. "Dynamics Of Retail Advertising: Evidence From A Field Experiment," Economic Inquiry, Western Economic Association International, vol. 47(3), pages 482-499, July.
    3. Levent Çelik, 2008. "Strategic Informative Advertising in a Horizontally Differentiated Duopoly," CERGE-EI Working Papers wp359, The Center for Economic Research and Graduate Education - Economics Institute, Prague.
    4. Simon P. Anderson & Federico Ciliberto & Jura Liaukonyte & Régis Renault, 2016. "Push-me pull-you: comparative advertising in the OTC analgesics industry," RAND Journal of Economics, RAND Corporation, vol. 47(4), pages 1029-1056, November.
    5. Levent Çelik, 2008. "Monopoly Provision of Tune-ins," CERGE-EI Working Papers wp362, The Center for Economic Research and Graduate Education - Economics Institute, Prague.
    6. Sridhar Narayanan & Kirthi Kalyanam, 2015. "Position Effects in Search Advertising and their Moderators: A Regression Discontinuity Approach," Marketing Science, INFORMS, vol. 34(3), pages 388-407, May.
    7. Doraszelski, Ulrich & Draganska, Michaela & Clark, C. Robert, 2007. "Information or Persuasion? An Empirical Investigation of the Effect of Advertising on Brand Awareness and Perceived Quality using Panel Data," Research Papers 1971, Stanford University, Graduate School of Business.
    8. Dmitri Kuksov & Ron Shachar & Kangkang Wang, 2013. "Advertising and Consumers' Communications," Marketing Science, INFORMS, vol. 32(2), pages 294-309, March.
    9. Hattori, Keisuke & Higashida, Keisaku, 2014. "Misleading advertising and minimum quality standards," Information Economics and Policy, Elsevier, vol. 28(C), pages 1-14.
    10. Reo Song & Sungha Jang & Gangshu (George) Cai, 2016. "Does advertising indicate product quality? Evidence from prelaunch and postlaunch advertising in the movie industry," Marketing Letters, Springer, vol. 27(4), pages 791-804, December.
    11. Pracejus, John W. & O'Guinn, Thomas C. & Olsen, G. Douglas, 2013. "When white space is more than “burning money”: Economic signaling meets visual commercial rhetoric," International Journal of Research in Marketing, Elsevier, vol. 30(3), pages 211-218.
    12. Celik, Levent, 2016. "Competitive provision of tune-ins under common private information," International Journal of Industrial Organization, Elsevier, vol. 44(C), pages 113-122.
    13. Imran Khan & Mobin Fatma, 2022. "Using Netnography to Understand Customer Experience towards Hotel Brands," Sustainability, MDPI, vol. 15(1), pages 1-11, December.
    14. Anna E. Tuchman & Harikesh S. Nair & Pedro M. Gardete, 2018. "Television ad-skipping, consumption complementarities and the consumer demand for advertising," Quantitative Marketing and Economics (QME), Springer, vol. 16(2), pages 111-174, June.
    15. David Genesove & Avi Simhon, 2015. "Seasonality and the Effect of Advertising on Price," Journal of Industrial Economics, Wiley Blackwell, vol. 63(1), pages 199-222, March.
    16. Griffith, Rachel & Dubois, Pierre & O'Connell, Martin, 2014. "The Effects of Banning Advertising on Demand, Supply and Welfare: Structural Estimation on a Junk Food Market," CEPR Discussion Papers 9942, C.E.P.R. Discussion Papers.
    17. Andrew T. Ching & Masakazu Ishihara, 2012. "Measuring the Informative and Persuasive Roles of Detailing on Prescribing Decisions," Management Science, INFORMS, vol. 58(7), pages 1374-1387, July.
    18. Rauch, Ferdinand, 2013. "Advertising expenditure and consumer prices," International Journal of Industrial Organization, Elsevier, vol. 31(4), pages 331-341.
    19. Dennis, Charles & Joško Brakus, J. & Gupta, Suraksha & Alamanos, Eleftherios, 2014. "The effect of digital signage on shoppers' behavior: The role of the evoked experience," Journal of Business Research, Elsevier, vol. 67(11), pages 2250-2257.
    20. Haiyan Liu, 2016. "A Structural Model of Advertising Signaling and Social Learning: The Case of the Motion Picture Industry," Working Papers 0216, University of South Florida, Department of Economics.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:aii:ijcmss:v:6:y:2015:i:3:p:20-25. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Mr. Asif Anjum (email available below). General contact details of provider: .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.