IDEAS home Printed from https://ideas.repec.org/a/ags/arerjl/165902.html
   My bibliography  Save this article

Consumer Response to Perceived Value and Generic Advertising

Author

Listed:
  • Salois, Matthew J.
  • Reilly, Amber

Abstract

This study examines the relationship between generic advertising and perceived value for 100 percent orange juice using data from a survey on consumption, perceived value, advertising awareness, and other key measures. We investigate the relationships between consumption and perceived value and between generic advertising and perceived value and identify features of generic advertising of orange juice that have the greatest influence on consumers. Our analysis indicates that perceived value is strongly associated with increased consumption and is influenced by generic advertising. Generic advertising is most effective when consumers view the content of the ads as genuine and relevant.

Suggested Citation

  • Salois, Matthew J. & Reilly, Amber, 2014. "Consumer Response to Perceived Value and Generic Advertising," Agricultural and Resource Economics Review, Northeastern Agricultural and Resource Economics Association, vol. 43(01), pages 1-14, April.
    • Handle: RePEc:ags:arerjl:165902
    DOI: 10.22004/ag.econ.165902
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/165902/files/ARER2014%2043x1%20AEA%20Salois.pdf
    Download Restriction: no
    File URL: https://libkey.io/10.22004/ag.econ.165902?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Bradley J. Rickard & Jura Liaukonyte & Harry M. Kaiser & Timothy J. Richards, 2011. "Consumer Response to Commodity-Specific and Broad-Based Promotion Programs for Fruits and Vegetables," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 93(5), pages 1312-1327.
    2. Ward, Ronald W. & Tilley, Daniel S., 1980. "Time Varying Parameters with Random Components: The Orange Juice Industry," Journal of Agricultural and Applied Economics, Cambridge University Press, vol. 12(2), pages 5-13, December.
    3. Ronald W. Ward & James E. Davis, 1978. "A Pooled Cross-Section Time Series Model of Coupon Promotions," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 60(3), pages 393-401.
    4. Zheng, Yuqing & Kaiser, Harry M., 2008. "Advertising and U. S. Nonalcoholic Beverage Demand," Agricultural and Resource Economics Review, Cambridge University Press, vol. 37(2), pages 147-159, October.
    5. Kelvin J. Lancaster, 1966. "A New Approach to Consumer Theory," Journal of Political Economy, University of Chicago Press, vol. 74(2), pages 132-132.
    6. Richard H. Thaler, 2008. "Mental Accounting and Consumer Choice," Marketing Science, INFORMS, vol. 27(1), pages 15-25, 01-02.
    7. Kinnucan, Henry W. & Venkateswaran, Meenakshi, 1990. "Effects of Generic Advertising on Perceptions and Behavior: The Case of Catfish," Journal of Agricultural and Applied Economics, Cambridge University Press, vol. 22(2), pages 137-151, December.
    8. Sheth, Jagdish N. & Newman, Bruce I. & Gross, Barbara L., 1991. "Why we buy what we buy: A theory of consumption values," Journal of Business Research, Elsevier, vol. 22(2), pages 159-170, March.
    9. Thomas, Arthur M. & Canter, Neil, 2009. "Financial Benefits of Florida Generic Orange Juice Marketing," Agricultural and Resource Economics Review, Northeastern Agricultural and Resource Economics Association, vol. 38(3), pages 1-14, December.
    10. Jonq-Ying Lee & Mark G. Brown, 1985. "Coupon Redemption and the Demand for Frozen Concentrated Orange Juice: A Switching Regression Analysis," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 67(3), pages 647-653.
    11. Robert E. Smith & Scott B. MacKenzie & Xiaojing Yang & Laura M. Buchholz & William K. Darley, 2007. "Modeling the Determinants and Effects of Creativity in Advertising," Marketing Science, INFORMS, vol. 26(6), pages 819-833, 11-12.
    12. Jonq-Ying Lee & Gary F. Fairchild & Robert M. Behr, 1988. "Commodity and brand advertising in the us orange juice market," Agribusiness, John Wiley & Sons, Ltd., vol. 4(6), pages 579-589.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Salois, Matthew J. & Reilly, Amber, 2014. "Millennial Parents and the Effectiveness of Generic Advertising for 100% Orange Juice," 2014 Annual Meeting, February 1-4, 2014, Dallas, Texas 162592, Southern Agricultural Economics Association.
    2. House, Lisa A. & Jiang, Yuan & Salois, Matthew, 2014. "Measures of Online Advertising Effectiveness: The Case of Orange Juice," 2014 AAEA/EAAE/CAES Joint Symposium: Social Networks, Social Media and the Economics of Food, May 29-30, 2014, Montreal, Canada 169776, Agricultural and Applied Economics Association.
    3. Lisa A. House & Yuan Jiang & Matthew Salois, 2015. "Measures of Online Advertising Effectiveness for Market Penetration: The Case of Orange Juice Consumers," Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie, Canadian Agricultural Economics Society/Societe canadienne d'agroeconomie, vol. 63(4), pages 435-448, December.

    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. House, Lisa A. & Jiang, Yuan & Salois, Matthew, 2014. "Measures of Online Advertising Effectiveness: The Case of Orange Juice," 2014 AAEA/EAAE/CAES Joint Symposium: Social Networks, Social Media and the Economics of Food, May 29-30, 2014, Montreal, Canada 169776, Agricultural and Applied Economics Association.
    2. Lisa A. House & Yuan Jiang & Matthew Salois, 2015. "Measures of Online Advertising Effectiveness for Market Penetration: The Case of Orange Juice Consumers," Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie, Canadian Agricultural Economics Society/Societe canadienne d'agroeconomie, vol. 63(4), pages 435-448, December.
    3. Park, JungKun & Ahn, Jiseon & Thavisay, Toulany & Ren, Tianbao, 2019. "Examining the role of anxiety and social influence in multi-benefits of mobile payment service," Journal of Retailing and Consumer Services, Elsevier, vol. 47(C), pages 140-149.
    4. Brown, Mark G., 1986. "Orange Juice Coupon Redemption," 1986 Annual Meeting, July 27-30, Reno, Nevada 278460, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    5. Francesco Cerigioni & Simone Galperti, 2021. "Listing specs: The effect of framing attributes on choice," Economics Working Papers 1775, Department of Economics and Business, Universitat Pompeu Fabra.
    6. Tarnanidis, Theodore & Owusu-Frimpong, Nana & Nwankwo, Sonny & Omar, Maktoba, 2015. "Why we buy? Modeling consumer selection of referents," Journal of Retailing and Consumer Services, Elsevier, vol. 22(C), pages 24-36.
    7. Murphy, David M. A., 2017. "Underground Knowledge: Soil Testing, Farmer Learning, and Input Demand in Kenya," 2017 Annual Meeting, July 30-August 1, Chicago, Illinois 258372, Agricultural and Applied Economics Association.
    8. Diansheng Dong & Harry M. Kaiser, 2005. "Coupon Redemption and Its Effect on Household Cheese Purchases," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 87(3), pages 689-702.
    9. Dayana Zhappassova & Ben Gilbert & Linda Thunstrom, 2018. "Energy efficiency, green technology and the pain of paying," Working Papers 2018-03, Colorado School of Mines, Division of Economics and Business.
    10. Swait, J. & de Bekker-Grob, E.W., 2022. "A discrete choice model implementing gist-based categorization of alternatives, with applications to patient preferences for cancer screening and treatment," Journal of Health Economics, Elsevier, vol. 85(C).
    11. Salois, Matthew J. & Reilly, Amber, 2014. "Millennial Parents and the Effectiveness of Generic Advertising for 100% Orange Juice," 2014 Annual Meeting, February 1-4, 2014, Dallas, Texas 162592, Southern Agricultural Economics Association.
    12. Stephane Hess & Andrew Daly & Richard Batley, 2018. "Revisiting consistency with random utility maximisation: theory and implications for practical work," Theory and Decision, Springer, vol. 84(2), pages 181-204, March.
    13. Brown, Mark G. & Lee, Jonq-Ying & Behr, Robert M., 1990. "Product Labeling, Advertising and Demand for Grapefruit Juice and Grapefruit-Juice Cocktail," 1990 Annual meeting, August 5-8, Vancouver, Canada 270898, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    14. Anne Corcos, 2023. "How nudges and marketing, frame time preference “for your own good”: a behavioral model," Palgrave Communications, Palgrave Macmillan, vol. 10(1), pages 1-9, December.
    15. Liaukonyte, Jura & Streletskaya, Nadia A. & Kaiser, Harry M., 2015. "Noisy Information Signals and Endogenous Preferences for Labeled Attributes," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 40(2), pages 1-24, May.
    16. Chen, Shih-Chih & Lin, Chieh-Peng, 2019. "Understanding the effect of social media marketing activities: The mediation of social identification, perceived value, and satisfaction," Technological Forecasting and Social Change, Elsevier, vol. 140(C), pages 22-32.
    17. Berning, Joshua P., 2014. "The Effect of Breakfast Cereal Coupons on the Nutritional Quality of Household Purchases," International Food and Agribusiness Management Review, International Food and Agribusiness Management Association, vol. 17(A), pages 1-20, March.
    18. Gould, Brian W., 1997. "Factors Affecting the Timing of Purchases of Butter, Margarine and Blends: A Competing Good Analysis," Staff Papers 200592, University of Wisconsin-Madison, Department of Agricultural and Applied Economics.
    19. Shah, Denish & Webster, Emily & Kour, Gurpreet, 2023. "Consuming for content? Understanding social media-centric consumption," Journal of Business Research, Elsevier, vol. 155(PB).
    20. Wen Lin & David L Ortega & Vincenzina Caputo, 2023. "Experimental quantity, mental budgeting and food choice: a discrete choice experiment application," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 50(2), pages 457-496.

    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:ags:arerjl:165902. 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: AgEcon Search (email available below). General contact details of provider: https://edirc.repec.org/data/nareaea.html .

    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.