IDEAS home Printed from https://ideas.repec.org/a/wly/agribz/v4y1988i1p91-103.html
   My bibliography  Save this article

Developing a marketing strategy for branded, low fat, fresh beef

Author

Listed:
  • Dale J. Menkhaus

    (Department of Agricultural Economics and Professor, Department of Animal Science, University of Wyoming, Laramie)

  • Glen D. Whipple

    (Department of Agricultural Economics and Professor, Department of Animal Science, University of Wyoming, Laramie)

  • Steven J. Torok

    (Department of Agricultural Economics and Professor, Department of Animal Science, University of Wyoming, Laramie)

  • Ray A. Field

    (Department of Agricultural Economics and Professor, Department of Animal Science, University of Wyoming, Laramie)

Abstract

The objective of this article is to report the results of a logistic regression analysis designed to identify factors which are important in influencing purchase and reorder decisions of a branded, low fat, fresh beef product. Health related factors and visual differences significantly influence the probabilities of reordering and purchasing, respectively.

Suggested Citation

  • Dale J. Menkhaus & Glen D. Whipple & Steven J. Torok & Ray A. Field, 1988. "Developing a marketing strategy for branded, low fat, fresh beef," Agribusiness, John Wiley & Sons, Ltd., vol. 4(1), pages 91-103.
  • Handle: RePEc:wly:agribz:v:4:y:1988:i:1:p:91-103
    DOI: 10.1002/1520-6297(198801)4:1<91::AID-AGR2720040110>3.0.CO;2-Z
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a search for a similarly titled item that would be available.

    References listed on IDEAS

    as
    1. Rhonda K. Skaggs & Dale J. Menkhaus & Steven J. Torok & Ray A. Field, 1987. "Test marketing of branded, low fat, fresh beef," Agribusiness, John Wiley & Sons, Ltd., vol. 3(3), pages 257-271.
    2. Collins, Robert A. & Green, Richard D., 1982. "Statistical methods for bankruptcy forecasting," Journal of Economics and Business, Elsevier, vol. 34(4), pages 349-354.
    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. Siskos, Y. & Matsatsinis, N. F. & Baourakis, G., 2001. "Multicriteria analysis in agricultural marketing: The case of French olive oil market," European Journal of Operational Research, Elsevier, vol. 130(2), pages 315-331, April.

    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. Nabeel Al-Milli & Amjad Hudaib & Nadim Obeid, 2021. "Population Diversity Control of Genetic Algorithm Using a Novel Injection Method for Bankruptcy Prediction Problem," Mathematics, MDPI, vol. 9(8), pages 1-18, April.
    2. Haider A. Khan, 2004. "General Conclusions: From Crisis to a Global Political Economy of Freedom," Palgrave Macmillan Books, in: Global Markets and Financial Crises in Asia, chapter 9, pages 193-211, Palgrave Macmillan.
    3. Dale J. Menkhaus & Glen D. Whipple & Ray A. Field & Shawn W. Moore, 1988. "Impact of a price premium on sales of branded, low fat, fresh beef," Agribusiness, John Wiley & Sons, Ltd., vol. 4(6), pages 521-534.
    4. Premachandra, I.M. & Chen, Yao & Watson, John, 2011. "DEA as a tool for predicting corporate failure and success: A case of bankruptcy assessment," Omega, Elsevier, vol. 39(6), pages 620-626, December.
    5. Kaylen, Michael S. & Devino, Gary T. & Procter, Michael H., 1988. "Optimal Use Of Qualitative Models: An Application To Country Grain Elevator Bankruptcies," Southern Journal of Agricultural Economics, Southern Agricultural Economics Association, vol. 20(2), pages 1-7, December.
    6. Golaszewski, Richard & Sanders, Matthew, 1991. "Financial Stress in the U.S. Airline Industry," Transportation Research Forum Proceedings 1990s 319097, Transportation Research Forum.
    7. Chen, Liang-Hsuan & Chiou, Tai-Wei, 1999. "A fuzzy credit-rating approach for commercial loans: a Taiwan case," Omega, Elsevier, vol. 27(4), pages 407-419, August.
    8. Mohammad Mahdi Mousavi & Jamal Ouenniche & Kaoru Tone, 2023. "A dynamic performance evaluation of distress prediction models," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 42(4), pages 756-784, July.
    9. Harper, Susan D. & Wharton, B. Robert & Traylor, Harlon D., 1985. "A Prediction Of Grain Elevator Bankruptcies Using Linear Discriminant Analysis," 1985 Annual Meeting, August 4-7, Ames, Iowa 278559, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    10. Sueyoshi, Toshiyuki & Goto, Mika, 2009. "Can R&D expenditure avoid corporate bankruptcy? Comparison between Japanese machinery and electric equipment industries using DEA-discriminant analysis," European Journal of Operational Research, Elsevier, vol. 196(1), pages 289-311, July.
    11. Tamara Ayœs, Armando Lenin & Villegas, Gladis Cecilia & Leones Castro, María Cristina & Salazar Bocanegra, Juan Antonio, 2018. "Modelaci—n del riesgo de insolvencia en empresas del sector salud empleando modelos logit || Modeling of Insolvency Risk in Health Sector Companies Using Logit Models," Revista de Métodos Cuantitativos para la Economía y la Empresa = Journal of Quantitative Methods for Economics and Business Administration, Universidad Pablo de Olavide, Department of Quantitative Methods for Economics and Business Administration, vol. 26(1), pages 128-145, Diciembre.
    12. Gemünden, Hans Georg, 1988. "Defekte der empirischen Insolvenzforschung," Manuskripte aus den Instituten für Betriebswirtschaftslehre der Universität Kiel 205, Christian-Albrechts-Universität zu Kiel, Institut für Betriebswirtschaftslehre.
    13. Oral Capps & Daniel S. Moen & Robert E. Branson, 1988. "Consumer characteristics associated with the selection of lean meat products," Agribusiness, John Wiley & Sons, Ltd., vol. 4(6), pages 549-557.
    14. fernández, María t. Tascón & gutiérrez, Francisco J. Castaño, 2012. "Variables y Modelos Para La Identificación y Predicción Del Fracaso Empresarial: Revisión de La Investigación Empírica Reciente," Revista de Contabilidad - Spanish Accounting Review, Elsevier, vol. 15(1), pages 7-58.
    15. In Tae Hwang & Sun Min Kang & Shun Ji Jin, 2014. "A delisting prediction model based on nonfinancial information," Asia-Pacific Journal of Accounting & Economics, Taylor & Francis Journals, vol. 21(3), pages 328-347, September.
    16. Dimitras, A. I. & Zanakis, S. H. & Zopounidis, C., 1996. "A survey of business failures with an emphasis on prediction methods and industrial applications," European Journal of Operational Research, Elsevier, vol. 90(3), pages 487-513, May.
    17. Tascón, María T. & Castaño, Francisco J., 2017. "Selection of Variables in Small Business Failure Analysis: Mean Selection vs. Median Selection || Selección de variables en el análisis de fracaso de empresas pequeñas: selección de medias frente a se," Revista de Métodos Cuantitativos para la Economía y la Empresa = Journal of Quantitative Methods for Economics and Business Administration, Universidad Pablo de Olavide, Department of Quantitative Methods for Economics and Business Administration, vol. 24(1), pages 54-88, Diciembre.
    18. Premachandra, I.M. & Bhabra, Gurmeet Singh & Sueyoshi, Toshiyuki, 2009. "DEA as a tool for bankruptcy assessment: A comparative study with logistic regression technique," European Journal of Operational Research, Elsevier, vol. 193(2), pages 412-424, March.
    19. Haider A. Khan, 2002. "Can Banks Learn to Be Rational?," CIRJE F-Series CIRJE-F-151, CIRJE, Faculty of Economics, University of Tokyo.
    20. Van Ittersum, Koert & Candel, Math & Torelli, Franco, 1999. "The market for PDO/PGI protected regional products: consumers' attitudes and behaviour," 67th Seminar, October 28-30, 1999, LeMans, France 241121, European Association of Agricultural Economists.

    More about this item

    Statistics

    Access and download statistics

    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:wly:agribz:v:4:y:1988:i:1:p:91-103. 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: Wiley Content Delivery (email available below). General contact details of provider: http://onlinelibrary.wiley.com/journal/10.1002/(ISSN)1520-6297 .

    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.