Negative factors of beliefs toward advertising on Facebook and their effect on attitudes

  • Received December 16, 2016;
    Accepted April 26, 2017;
    Published September 1, 2017
  • Author(s)
    Hilda Bongazana Dondolo
    ORCID
  • DOI
    http://dx.doi.org/10.21511/ppm.15(2-2).2017.09
  • Article Info
    Volume 15 2017, Issue #2 (cont. 2), pp. 404-410
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    3 articles
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Previous research has studied the effects of materialism, value corruption and falsity, which were identified by Pollay and Mittal (1993) as negatively impacting the beliefs about advertising. Few, if any, assessed negative beliefs about Facebook advertising. This paper assesses such beliefs and how these beliefs influence attitudes toward advertising on Facebook. To meet the objectives of the study, 269 undergraduate students completed the questionnaire. Regression analysis was used to examine a relationship between the beliefs about Facebook advertising and attitudes. In line with hypotheses developed for this study, results showed that respondents of this study view Facebook advertising as promoting materialism, corrupting society’s values and misleading and thus negatively impacting their attitudes toward Facebook advertising. This paper concludes with the discussion of results and offers the limitation of the study. The study also provides directions for future research.

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    • Table 1. Correlations for the belief toward advertising dimensions
    • Table 2. Regression of negative factors of beliefs toward advertising on Facebook
    • AFKInsider. (2016). Africa Helped 1. AFKInsider. (2016). Africa Helped Facebook Break Ad Revenue Records In Q4. Not Everyone Is Celebrating.
    • Andrews, J. C. (1989). The dimensionality of beliefs toward advertising in general. Journal of Advertising, 18(1), 26-35.
    • Bauer, R. A., & Greyser, S. A. (1968). Advertising in America: the consumer view. Boston, Mass.: Harvard University. Graduate School of Business Administration. Division of Research.
    • Belch, G. E., & Belch, M. A. (2004). Advertising and promotion: an integrated marketing communications perspective. 6th ed. Boston, Mass.: Irwin McGraw- Hill.
    • Beltramini, R. F. (1983). Student surrogates in consumer research. Journal of the Academy of Marketing Science, 11(4), 438-443.
    • Boekaerts, M. (2002). The on-line motivation questionnaire: A self-report instrument to assess students’ context sensitivity. Advances in Motivation and Achievement, 12, 77-120.
    • 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.
    • Buijzen, M., & Valkenburg, P. M. (2003). The effects of television advertising on materialism, parent – child conflict, and unhappiness: A review of research. Journal of Applied Developmental Psychology, 24(4), 437-456.
    • Bush, A. J., Smith, R., & Martin, C. (1999). The influence of consumer socialization variables on attitude toward advertising: A comparison of African-Americans and Caucasians. Journal of Advertising, 28(3), 13-24.
    • Chia, S. C. (2010). How social influence mediates media effects on adolescents’ materialism. Communication Research, 37(3), 400-419.
    • Chowdhury, H. K., Parvin, N., Weitenberner, C., & Becker, M. (2010). Consumer attitude toward mobile advertising in an emerging market: An empirical study. Marketing, 12(2), 206-216.
    • Chu, S., & Kim, Y. (2011). Determinants of consumer engagement in electronic word-of-mouth (eWOM) in social networking sites. International Journal of Advertising, 30(1), 47-75.
    • Ciochetto, L. (2011). Advertising and value formation: The power of multinational companies. Current Sociology, 59(2), 173-185.
    • Coulter, R. A., Zaltman, G., & Coulter, K. S. (2001). Interpreting consumer perceptions of advertising: An application of the Zaltman Metaphor Elicitation Technique. Journal of Advertising, 30(4), 1-21.
    • Ducoffe, R. H. (1996). Advertising value and advertising on the web. Journal of Advertising Research, 36(5), 21-21.
    • Durvasula, S., Mehta, S., Andrews, J., & Lysonski, S. (1997). Advertising Beliefs and Attitudes: Are Students and General Consumers Different. Journal of Asian Business, 13(1), 74-84.
    • eMarketer. (2016). Facebook Continues to Grow, Steadily Adding New Revenue Streams.
    • Galbraith, J. K. (1975). Consumer behavior and the dependence effect. In Mansfield, E. Micro-Economics Selected Readings. Second Edition. USA: WW Norton and Company Inc.
    • Goldstein, R. J. (1986). The limitations of using quantitative data in studying human rights abuses. Human Rights Quarterly, 8(4), 607-627.
    • Lasch, C. (1978). The Culture of Narcissism. New York: W. W. Norton.
    • Lutz, R. J. (1985). Affective and cognitive antecedents of attitude toward the ad: A conceptual framework. In L. F. Alwitt & A. A. Mitchell (Eds.). Psychological processes and advertising effects: Theory, research and application (p 4543). Hillsdale, NJ: Lawrence Erlbaum Associates, Inc.
    • Obermiller, C., & Spangenberg, E. R. (1998). Development of a scale to measure consumer skepticism toward advertising. Journal of Consumer Psychology, 7(2), 159-186.
    • Pollay, R. W. (1986). Quality of life in the padded sell: Common criticisms of advertising’s cultural character and international public policies. Current Issues and Research in Advertising, 9(1-2), 173-250.
    • Pollay, R. W., & Mittal, B. (1993). Here’s the beef: factors, determinants, and segments in consumer criticism of advertising. The Journal of Marketing, 57(3), 99-114.
    • Previte, J. (1999). Internet advertising: An assessment of consumer attitudes. Prometheus, 17(2), 199-209.
    • Reichert, T. (2002). Sex in advertising research: A review of content, effects, and functions of sexual information in consumer advertising. Annual Review of Sex Research, 13(1), 241-273.
    • Richins, M. L., & Dawson, S. (1992). A consumer values orientation for materialism and its measurement: Scale development and validation. Journal of Consumer Research, 19(3), 303- 316.
    • Singh, J., & Sandhu, N. (2011). Building ethical considerations into advertising practices – An Indian study. International Journal of Business and Social Science, 2(18), 291-301.
    • 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.
    • Wang, Y., Sun, S., Lei, W., & Toncar, M. (2009). Examining beliefs and attitudes toward online advertising among Chinese consumers. Direct Marketing: An International Journal, 3(1), 52-66.
    • Wang, Y., & Sun, S. (2010). Assessing beliefs, attitudes, and behavioral responses toward online advertising in three countries. International Business Review, 19(4), 333-344.
    • Wang, F., Zhang, H., Zang, H., & Ouyang, M. (2005). Purchasing pirated software: an initial examination of Chinese consumers. Journal of Consumer Marketing, 22(6), 340-351.
    • Wolin, L. D., Korgaonkar, P., & Lund, D. (2002). Beliefs, attitudes and behaviour towards Web advertising. International Journal of Advertising, 21(1), 87-113.
    • WorldWideWorx. (2017). South African Social Media Landscape 2017: Executive Summary.
    • Wulfemeyer, K. T., & Mueller, B. (1992). Channel One and commercials in classrooms: Advertising content aimed at students. Journalism & Mass Communication Quarterly, 69(3), 724-742.
    • Yang, C. C. (2000). Taiwanese students’ attitudes towards and beliefs about advertising. Journal of Marketing Communications, 6(3), 171-183.
    • Yang, K. C. (2004). A comparison of attitudes towards Internet advertising among lifestyle segments in Taiwan. Journal of Marketing Communications, 10(3), 195-212.
    • Zephoria. (2016). The Top 20 Valuable Facebook Statistics.
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