Exploring the Information Source Preferences Among Canadian Adult Golf League Members

Authors

  • Melissa Davies University of the Pacific
  • Dianna Gray University of Northern Colorado

DOI:

https://doi.org/10.17161/jas.v2i2.5711

Keywords:

marketing, communication, golf, leisure sport, information processing

Abstract

With an aging demographic, and the abundance of physical inactivity in Canada, sport professionals need to understand how best to recruit and retain adults in sport and recreational activities, namely, golf leagues.  Canadian golf league participants (N = 419; Mage = 62 years old) completed an online survey detailing their propensity to utilize a variety of information sources prior to making the decision to join a golf league.  Results from a principal component analysis of a revised Information Sources Inventory, suggested that golfers in this sample were most likely to utilize Personal and Social sources of information associated with their league participation decision.  While no differences emerged in information source preferences across Age or levels of Involvement, women (m = 4.12, SD = 1.30) were significantly more likely to utilize Public information sources than were men (m = 3.64, SD = 1.26).  Implications from the information source preferences are discussed with the goal of generating more effective marketing strategies to recruit new golfers, lapsed golfers, or golfers who do not currently engage in league play.

Author Biographies

  • Melissa Davies, University of the Pacific
    Melissa Davies, Ph.D. is an Assistant Professor in the Health, Exercise, and Sport Sciences department at University of the Pacific in Stockton, California.
  • Dianna Gray, University of Northern Colorado
    Dianna Gray, Ph.D. is a Professor in the Sport and Exercise Science department at University of Northern Colorado. She also oversees the Sport Marketing Research Institute in Greeley, Colorado.

References

Bienstock, C. C., & Stafford, M. R. (2006). Measuring involvement with the service: A further investigation of scale validity and dimensionality. Journal of Marketing Theory and Practice, 14(3), 209-221.

Bloch, P. H., Sherrell, D. L., & Ridgway, N. M. (1986). Consumer Search: An Extended Framework. Journal of Consumer Research, 13, 119-126.

Broderic, A. J., & Mueller, R. D. (1999). A theoretical and empirical exegesis of the consumer involvement construct: The psychology of the food shopper. Journal of Marketing Theory and Practice, 7(4), 97-108.

Dillman, D.A., Smyth, J.D., & Christian, L. (2009). Internet, Mail, and Mixed-Mode Surveys: The Tailored Design Method (3rd ed.). Hoboken, NJ: John Wiley & Sons, Inc.

Edgett, S. J., & Cullen, C. (1993). Service organization selection: A cross-cultural analysis of the role of involvement. European Journal of Marketing, 27, 33-45.

Edginton, C. R., DeGraaf, D. G., Dieser, R. B., & Edginton, S. R. (2006). Leisure and Life Satisfaction (4th ed.). New York: McGraw-Hill.

Finne, A., & Strandvik, T. (2012). Invisibile Communication: A challenge to established marketing communication. European Business Review, 24, 120-133.

Generations in Canada. (2012). Age and sex, 2011 census. Statistics Canada, 98-311-X2011003. Retrieved from http://www12.statcan.gc.ca/census-recensement/2011/as-sa/98-311-x/98-311-x2011003_2-eng.pdf

Gordon, M. E., McKeague, K., & Fox, M. A. (1998). Relationship Marketing Effectiveness: The Role of Involvement. Psychology and Marketing, 15(5), 443-460.

Haskell, W.L., Lee, I.-M., Pate, R., Powell, K.E., Blair, S.N., Franklin, B.A., … & Bauman, A. (2007). Physical Activity and Public Health: Updated Recommendation for Adults from the American College of Sports Medicine and the American Heart Association. Medical Science Sports Exercise, 39(8), 1423–1434.

Hede, A. M., & Kellett, P. (2011). Marketing communications for special events. European Journal of Marketing, 45(6), 987-1004.

Holm, O. (2006). Integrated marketing communications: from strategy to tactic. Corporate Communications: An International Journal, 11(1), 23-33.

Huck, S. (2011). Reading Statistics and Research, (6th ed.). Boston, MA: Pearson.

IBM Corp. (2011). IBM SPSS Statistics for Windows, Version 20.0. Armonk, NY: IBM Corp.

Kim, D-Y., Lehto, X. Y., & Morrison, A. M. (2007). Gender differences in online travel information search: Implications for marketing communications on the internet. Tourism Management, 28(2), 423-433.

Kim, S. S., Scott, D., & Crompton, J. L. (1997). An exploration of the relationships among social psychological involvement, behavioral involvement, commitment, and future intentions in the context of bird watching. Journal of Leisure Research, 29(3), 320-341.

Kotler, P., & Armstrong, G. (1994). Principles of Marketing (6th ed.), Englewood Cliffs, NJ: Prentice Hall.

Krosnick, J. A., Narayan, S., & Smith, W. R. (1996). Satisficing in surveys: Initial evidence. New Directions for Evaluation, Summer, (70), 29-44. DOI: 10.1002/ev.1033

Lera-Lopez, F. & Rapun-Garate, M. (2011). Determinants of sports participation and attendance: differences and similarities. International Journal of Sports Marketing & Sponsorship, 12(2), 167-190.

Mortimer, K., & Pressey, A. (2013). Consumer information search and credence services: implications for service providers. Journal of Services Marketing, 27(1), 49-58.

Murray, K. B. (1991). A test of services marketing theory: Consumer information acquisition activities. Journal of Marketing, 55, 10-25.

Myers-Levy, J., & Sternthal, B. (1991). Gender differences in the use of message cues and judgments. Journal of Marketing Research, 26(4), 84-

Navicom. (2012). National Allied Golf Association (NAGA) Canadian Golf Consumer Behavior Study. Retrieved from http://canadagolfs.ca/wp-content/uploads/2012/09/Canadian-Golf-Consumer-Behaviour-Study_english-FINAL.pdf

Park, C. W., & Young, S. M. (1983). Types and levels of involvement and brand attitude formation. In R. P Bagozzi & A. M. Tybout (Eds.), Advances in Consumer Research, 10, 320-324. Ann Arbor, MI: Association for Consumer Research.

Raitz, K., & Dakhil, M. (1989). A note about information sources for preferred recreational environments. Journal of Travel Research, 27, 45-50.

Reinecke Flynn, L., & Goldsmith, R. E. (1993). Application of the Personal Involvement Inventory in marketing. Psychology and Marketing, 10(4), 357-367.

Rules and Handicap. (2013). Golf Canada. Retrieved from http://www.golfcanada.ca/rules/

Shavitt, S. (1990). The Role of Attitude Objects in Attitude Functions. Journal of Experimental Social Psychology, 26, 124-148.

Statistics Canada. (2013A). Body composition of Canadian adults, 2009 to 2011. Health Fact Sheet, 82-625-X. Retrieved from www.statcan.gc.ca/pub/82-625-x/2012001/article/11708-eng.htm

Statistics Canada. (2013B). Sport Participation 2010 Research Paper. Retrieved from www.sirc.ca/online_resources/documents/SportParticipation%20Report%202013_EN_VF.pdf

Tabachnick, B. G., & Fidell, L. S. (2007). Using multivariate statistics (5th ed.). Boston,MA: Pearson.

Wyner, G. (2000). Learn and earn through testing on the internet. Marketing Research, 12, 37-38.

Zaichkowsky, J. L., (1985). Measuring the involvement construct. Journal of Consumer Research, 12, 341-352.

Zaichowsky, J. L. (1994). The personal involvement inventory: Reduction, revision and application to advertising. Journal of Advertising, 23(4), 59-70.

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Published

2016-08-03

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Articles

How to Cite

Davies, M., & Gray, D. (2016). Exploring the Information Source Preferences Among Canadian Adult Golf League Members. Journal of Amateur Sport, 2(2), 1-28. https://doi.org/10.17161/jas.v2i2.5711