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Socialization and processing effects on comprehension of credit card advertisement disclosures

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Abstract

This study examines how college students comprehend the disclosures in a credit card advertisement through two main perspectives: socialization and processing. The results reveal that socialization and processing influence college students’ comprehension of the disclosures differently. In general, message involvement with the disclosures may enhance comprehension of the disclosures positively. However, college students’ experiences in using a credit card, enhanced by information search and number of credit cards owned, may have an inverse and negative effect on comprehension of the disclosures. While female students tend to exhibit more experiences in using a credit card, male and female students comprehend the disclosures to the same degree. This also suggests that female students may be more susceptible to ignore the disclosures, whereas an attended and informed card user provides the best defense against costly mistakes in neglecting important disclosures in credit card solicitations.

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References

  • Abdul-Muhmin, A.G. and Umar, Y.A. (2007) Credit card ownership and usage behaviour in Saudi Arabia: The impact of demographics and attitudes toward debt. Journal of Financial Services Marketing 12 (3): 219–234.

    Article  Google Scholar 

  • Ajzen, I. (1991) The theory of planned behavior. Organizational Behavior and Human Decision Processes 50 (2): 179–211.

    Article  Google Scholar 

  • Ajzen, I. and Madden, T.J. (1986) Prediction of goal-directed behavior: Attitudes, intentions, and perceived behavioral control. Journal of Experimental Social Psychology 22 (4): 453–474.

    Article  Google Scholar 

  • Alba, J. and Hutchinson, J.W. (1987) Dimension of consumer expertise. Journal of Consumer Research 13 (4): 411–454.

    Article  Google Scholar 

  • Alba, J. and Hutchinson, J.W. (2000) Knowledge calibration: What consumers know and what they think they know. Journal of Consumer Research 27 (2): 123–156.

    Article  Google Scholar 

  • Andrews, J.C., Durvasula, S. and Ahkter, S.H. (1990) A framework for conceptualizing and measuring the involvement construct in advertising research. Journal of Advertising 19 (4): 27–40.

    Article  Google Scholar 

  • Andrews, J.C. and Shimp, T.A. (1990) Effects of involvement argument strength, and source characteristics on central and peripheral processing of advertising. Psychology and Marketing 7 (3): 195–214.

    Article  Google Scholar 

  • Benton, K.J. (2010) An overview of the regulation Z rules implementing the CARD act, http://www.philadelphiafed.org/bank-resources/publications/consumer-compliance-outlook/2010/first-quarter/regulation-z-rules.cfm, accessed April 2012.

  • Bergkvist, L. and Rossiter, J.R. (2007) The predictive validity of multiple-item versus single-item measures of the same constructs. Journal of Marketing Research 44 (2): 175–184.

    Article  Google Scholar 

  • Bergkvist, L. and Rossiter, J.R. (2009) Tailor-made single-item measures of doubly concrete constructs. International Journal of Advertising 28 (4): 607–621.

    Article  Google Scholar 

  • Bernheim, B.D. and Garrett, D.M. (2003) The effects of financial education in the workplace: Evidence from a survey of households. Journal of Public Economics 87 (7–8): 1487–1519.

    Article  Google Scholar 

  • Borden, L.M., Lee, S.A., Serido, J. and Collins, D. (2008) Changing college student's financial knowledge, attitudes, and behavior through seminar participation. Journal of Family and Economic Issues 29 (1): 23–40.

    Article  Google Scholar 

  • Carpenter, J.M. and Moore, M. (2008) Gender and credit behaviors among college students: Implications for consumer educators. Journal of Family & Consumer Sciences Education 26 (1): 42–47.

    Google Scholar 

  • Celsi, R.L. and Olson, J.C. (1988) The role of involvement in attention and comprehension processes. Journal of Consumer Research 15 (3): 210–224.

    Article  Google Scholar 

  • Chang, C. (2004) The interplay of product class knowledge and trial experience in attitude formation. Journal of Advertising 33 (1): 83–92.

    Article  Google Scholar 

  • Cleaver, J.Y. (2002) The challenges of college collections. Credit Card Management 14 (12): 28–33.

    Google Scholar 

  • Cole, C.A. and Balasubramanian, S.K. (1993) Age differences in consumers’ search for information: Public policy implications. Journal of Consumer Research 20 (1): 157–169.

    Article  Google Scholar 

  • Compton, J.A. and Pfau, M. (2004) Use of inoculation to foster resistance to credit card marketing targeting college students. Journal of Applied Communication Research 32 (4): 343–364.

    Article  Google Scholar 

  • CreditAction. (2010) Debt facts and figures, http://www.creditaction.org.uk/assets/PDF/statistics/2010/november-2010.pdf, accessed February 2012.

  • Erskine, M., Kier, C., Leung, A. and Sproule, R. (2006) Peer crowds, work experience, and financial saving behaviour of young Canadians. Journal of Economic Psychology 27 (1): 262–284.

    Article  Google Scholar 

  • Federal Deposit Insurance Corporation. (2012) FDIC law, regulations, related acts, http://www.fdic.gov/regulations/laws/rules/6500-1500.html#fdic6500226.5, accessed April 2012.

  • Federal Reserve. (2010) Consumer credit, http://www.federalreserve.gov/releases/g19/Current/, accessed February 2012.

  • Filbeck, G., Hatfield, P. and Horvath, P. (2005) Risk aversion and personality type. Journal of Behavioral Finance 6 (4): 170–180.

    Article  Google Scholar 

  • FTC. (n.d.) Legal resources-statutes relating to consumer protection mission, http://www.ftc.gov/ogc/stat3.shtm, accessed 28 July 2010.

  • Greenwald, A.G. and Leavitt, C. (1984) Audience involvement in advertising: Four levels. Journal of Consumer Research 11 (2): 581–592.

    Article  Google Scholar 

  • Harrison, P. and Gray, C. (2010) The ethical and policy implications of profiling ‘vulnerable’ customers. International Journal of Consumer Studies 34 (3): 437–442.

    Article  Google Scholar 

  • Hayhoe, C.R., Leach, L.J., Turner, P.R., Bruin, M.J. and Lawrence, F.C. (2000) Differences in spending habits and credit card use of college students. Journal of Consumer Affairs 34 (1): 113–133.

    Article  Google Scholar 

  • Hilgert, M.A., Hogarth, J.M. and Beverly, S. (2003) Household financial management: The connection between knowledge and behavior. Federal Reserve Bulletin 89 (7): 309–322.

    Google Scholar 

  • Index Credit Cards. (2010) Average credit card debt, http://www.indexcreditcards.com/creditcarddebt/, accessed February 2012.

  • John, D.R. and Cole, C.A. (1986) Age differences in information processing: Understanding deficits in young and elderly consumers. Journal of Consumer Research 13 (3): 297–315.

    Article  Google Scholar 

  • Joo, S., Grable, J.E. and Bagwell, D.C. (2003) Credit card attitudes and behaviors of college students. College Student Journal 37 (3): 405–419.

    Google Scholar 

  • Laczniak, R.N. and Muehling, D.D. (1993) The relationship between experimental manipulations and tests of theory in an advertising message involvement context. Journal of Advertising 22 (3): 59–74.

    Article  Google Scholar 

  • Laczniak, R.N., Muehling, D.D. and Grossbart, S. (1989) Manipulating message involvement in advertising research. Journal of Advertising 18 (2): 28–38.

    Article  Google Scholar 

  • Lyons, A.C. (2004) A profile of financially at-risk college students. Journal of Consumer Affairs 38 (1): 56–80.

    Article  Google Scholar 

  • MacInnis, D.J. and Jaworski, B.J. (1989) Information processing from advertisements: Toward an integrative framework. Journal of Marketing 53 (4): 1–23.

    Article  Google Scholar 

  • MacKinnon, D.P., Nohre, L., Cheong, J., Stacy, A.W. and Pentz, M.A. (2001) Longitudinal relationship between the alcohol warning and alcohol consumption. Journal of Studies on Alcohol 62 (2): 221–226.

    Article  Google Scholar 

  • Moschis, G.P. (1987) Consumer Socialization: A Life-Cycle Perspective. Lexington, MA: Lexington Books.

    Google Scholar 

  • Norum, P.S. (2008) The role of time preference and credit card usage in compulsive buying behaviour. International Journal of Consumer Studies 32 (2): 269–275.

    Article  Google Scholar 

  • Phillips, L.W. and Sternthal, B. (1977) Age differences in information processing: A perspective on the aged consumer. Journal of Marketing Research 14 (4): 444–447.

    Article  Google Scholar 

  • Robb, C.A. and Sharpe, D.L. (2009) Effect of personal financial knowledge on college students’ credit card behavior. Journal of Financial Counseling and Planning 20 (1): 25–43.

    Google Scholar 

  • Rutherford, L.G. and DeVaney, S.A. (2009) Utilizing the theory of planned behavior to understand convenience use of credit cards. Journal of Financial Counseling and Planning 20 (2): 48–63.

    Google Scholar 

  • Scott, R.H. (2010) Credit card ownership among American high school seniors: 1997–2008. Journal of Family and Economic Issues 31 (2): 151–160.

    Article  Google Scholar 

  • Shim, S., Barber, B.L., Card, N.A., Xiao, J.J. and Serido, J. (2009) Financial socialization of first-year college students: The roles of parents, work, and education. Journal of Youth and Adolescence 39 (12): 1457–1470.

    Article  Google Scholar 

  • Stanford, W.E. (1999) Dealing with student credit card debt. About Campus 4 (1): 12–17.

    Google Scholar 

  • Stewart, D.W. and Martin, I.M. (1994) Intended and unintended consequences of warning messages: A review and synthesis of empirical research. Journal of Public Policy and Marketing 13 (1): 1–35.

    Google Scholar 

  • Wang, A. (2006a) Ad engagement: A driver of message involvement on message effects. Journal of Advertising Research 46 (4): 355–368.

    Article  Google Scholar 

  • Wang, A. (2006b) The effects of audience knowledge on message processing of editorial content. Journal of Marketing Communications 12 (4): 281–296.

    Article  Google Scholar 

  • Wang, A. (2009a) Advertising disclosures and CSR practices of credit card issuers. Management Research News 32 (12): 1177–1191.

    Article  Google Scholar 

  • Wang, A. (2009b) Interplay of investors’ financial knowledge and risk taking. Journal of Behavioral Finance 10 (4): 204–213.

    Article  Google Scholar 

  • Wang, A. (2010) Implications for brokerage firms’ financial disclosures: From CSR perspectives. Journal of Financial Services Marketing 15 (2): 112–125.

    Article  Google Scholar 

  • Wang, A. (2011a) Effects of gender, ethnicity and work on college students’ credit card debt: Implications for wealth advisors. Journal of Wealth Management 14 (2): 85–100.

    Article  Google Scholar 

  • Wang, A. (2011b) The effects of investment knowledge and visual communications on comprehension of investment disclosures. Journal of Financial Services Marketing 16 (2): 125–138.

    Article  Google Scholar 

  • Wang, A. (2011c) The contextual relevance effect on financial advertising. Journal of Financial Services Marketing 16 (1): 50–64.

    Article  Google Scholar 

  • Wang, A. (2011d) The visual priming effect of credit card advertising disclosure. International Journal of Disclosure and Governance, advance online publication, 1 December 2011; corrected online 2 May 2012; doi: 10.1057/jdg.2011.25.

  • Wang, A. (2012a) Visual priming of pharmaceutical advertising disclosures – Effects of a motivation factor. Corporate Communications: An International Journal 17 (1): 73–88.

    Article  Google Scholar 

  • Wang, A. and Dowding, T. (2010) Effects of visual priming on improving web disclosures to investors. Journal of Behavioral Finance 11 (1): 11–20.

    Article  Google Scholar 

  • Wang, J. and Xiao, J.J. (2009) Buying behavior, social support and credit card indebtedness of college students. International Journal of Consumer Studies 33 (1): 2–10.

    Article  Google Scholar 

  • Yoon, C. (1997) Age differences in consumers’ processing strategies: An investigation of moderating influences. Journal of Consumer Research 24 (3): 329–342.

    Article  Google Scholar 

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Wang, A. Socialization and processing effects on comprehension of credit card advertisement disclosures. J Financ Serv Mark 17, 163–176 (2012). https://doi.org/10.1057/fsm.2012.13

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  • DOI: https://doi.org/10.1057/fsm.2012.13

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