IDEAS home Printed from https://ideas.repec.org/p/ags/aaea18/274070.html
   My bibliography  Save this paper

Analysis of Consumer Perception of Product Attributes in Pet Food: Implications for Marketing and Brand Strategy

Author

Listed:
  • Hobbs, Lonnie
  • Shanoyan, Aleksan

Abstract

No abstract is available for this item.

Suggested Citation

  • Hobbs, Lonnie & Shanoyan, Aleksan, 2018. "Analysis of Consumer Perception of Product Attributes in Pet Food: Implications for Marketing and Brand Strategy," 2018 Annual Meeting, August 5-7, Washington, D.C. 274070, Agricultural and Applied Economics Association.
  • Handle: RePEc:ags:aaea18:274070
    DOI: 10.22004/ag.econ.274070
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/274070/files/Abstracts_R18_05_23_18_14_11_10__129_130_53_14_0.pdf
    Download Restriction: no

    File URL: https://libkey.io/10.22004/ag.econ.274070?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
    ---><---

    References listed on IDEAS

    as
    1. Kolbe, Richard H & Burnett, Melissa S, 1991. "Content-Analysis Research: An Examination of Applications with Directives for Improving Research Reliability and Objectivity," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 18(2), pages 243-250, September.
    2. Wayne DeSarbo & Vithala R. Rao, 1986. "A Constrained Unfolding Methodology for Product Positioning," Marketing Science, INFORMS, vol. 5(1), pages 1-19.
    3. Steven Berry & Ariel Pakes, 2007. "The Pure Characteristics Demand Model," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 48(4), pages 1193-1225, November.
    4. Költringer, Clemens & Dickinger, Astrid, 2015. "Analyzing destination branding and image from online sources: A web content mining approach," Journal of Business Research, Elsevier, vol. 68(9), pages 1836-1843.
    5. Decker, Reinhold & Trusov, Michael, 2010. "Estimating aggregate consumer preferences from online product reviews," International Journal of Research in Marketing, Elsevier, vol. 27(4), pages 293-307.
    6. Xiangbin Yan & Jing Wang & Michael Chau, 2015. "Customer revisit intention to restaurants: Evidence from online reviews," Information Systems Frontiers, Springer, vol. 17(3), pages 645-657, June.
    Full references (including those not matched with items on IDEAS)

    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. Anindya Ghose & Sang Pil Han, 2014. "Estimating Demand for Mobile Applications in the New Economy," Management Science, INFORMS, vol. 60(6), pages 1470-1488, June.
    2. Bitty Balducci & Detelina Marinova, 2018. "Unstructured data in marketing," Journal of the Academy of Marketing Science, Springer, vol. 46(4), pages 557-590, July.
    3. Anindya Ghose & Panagiotis G. Ipeirotis & Beibei Li, 2012. "Designing Ranking Systems for Hotels on Travel Search Engines by Mining User-Generated and Crowdsourced Content," Marketing Science, INFORMS, vol. 31(3), pages 493-520, May.
    4. Namrata Sandhu, 2019. "Fueling Gender Stereotypes: A Content Analysis of Automobile Advertisements," Business Perspectives and Research, , vol. 7(2), pages 163-178, July.
    5. Tao Liu & Ying Zhang & Huan Zhang & Xiping Yang, 2021. "A Methodological Workflow for Deriving the Association of Tourist Destinations Based on Online Travel Reviews: A Case Study of Yunnan Province, China," Sustainability, MDPI, vol. 13(9), pages 1-15, April.
    6. Chiara Mauri & Angelo Di Gregorio & Alice Mazzucchelli & Isabella Maggioni, 2017. "The employability of marketing graduates in the era of digitalisation and globalisation," MERCATI & COMPETITIVIT?, FrancoAngeli Editore, vol. 2017(4), pages 103-124.
    7. Smith, Andrew N. & Fischer, Eileen & Yongjian, Chen, 2012. "How Does Brand-related User-generated Content Differ across YouTube, Facebook, and Twitter?," Journal of Interactive Marketing, Elsevier, vol. 26(2), pages 102-113.
    8. Arlan Brucal & Michael Roberts, 2015. "Can Energy Efficiency Standards Reduce Prices and Improve Quality? Evidence from the US Clothes Washer Market," Working Papers 2015-5, University of Hawaii Economic Research Organization, University of Hawaii at Manoa.
    9. Wong, Maisy, 2010. "The Relationship between Marginal Willingness-to-Pay in the Hedonic and Discrete Choice Models," MPRA Paper 51218, University Library of Munich, Germany.
    10. Néstor Duch-Brown & Lukasz Grzybowski & André Romahn & Frank Verboven, 2023. "Evaluating the Impact of Online Market Integration—Evidence from the EU Portable PC Market," American Economic Journal: Microeconomics, American Economic Association, vol. 15(4), pages 268-305, November.
    11. Suren Basov & Svetlana Danilkina & David Prentice, 2020. "When Does Variety Increase with Quality?," Review of Industrial Organization, Springer;The Industrial Organization Society, vol. 56(3), pages 463-487, May.
    12. Dunker, Fabian & Hoderlein, Stefan & Kaido, Hiroaki, 2014. "Nonparametric Identification of Endogenous and Heterogeneous Aggregate Demand Models: Complements, Bundles and the Market Level," Economics Series 307, Institute for Advanced Studies.
    13. Reinhold Decker, 2014. "Real-Time Analysis of Online Product Reviews by Means of Multi-Layer Feed-Forward Neural Networks," International Journal of Business and Social Research, MIR Center for Socio-Economic Research, vol. 4(11), pages 60-70, November.
    14. Tingting Song & Jinghua Huang & Yong Tan & Yifan Yu, 2019. "Using User- and Marketer-Generated Content for Box Office Revenue Prediction: Differences Between Microblogging and Third-Party Platforms," Service Science, INFORMS, vol. 30(1), pages 191-203, March.
    15. Julia Neidhardt & Nataliia Rümmele & Hannes Werthner, 0. "Predicting happiness: user interactions and sentiment analysis in an online travel forum," Information Technology & Tourism, Springer, vol. 0, pages 1-19.
    16. David Card & Ana Rute Cardoso & Joerg Heining & Patrick Kline, 2018. "Firms and Labor Market Inequality: Evidence and Some Theory," Journal of Labor Economics, University of Chicago Press, vol. 36(S1), pages 13-70.
    17. Roy Allen & John Rehbeck, 2020. "Identification of Random Coefficient Latent Utility Models," Papers 2003.00276, arXiv.org.
    18. Parijat Chakrabarti & Margaret Frye, 2017. "A mixed-methods framework for analyzing text data: Integrating computational techniques with qualitative methods in demography," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 37(42), pages 1351-1382.
    19. Doraszelski, Ulrich & Kryukov, Yaroslav & Borkovsky, Ron N., 2008. "A User's Guide to Solving Dynamic Stochastic Games Using the Homotopy Method," CEPR Discussion Papers 6733, C.E.P.R. Discussion Papers.
    20. Tony Cooper & Constantino Stavros & Angela R. Dobele, 2019. "The levers of engagement: an exploration of governance in an online brand community," Journal of Brand Management, Palgrave Macmillan, vol. 26(3), pages 240-254, May.

    More about this item

    Keywords

    Food and Agricultural Marketing; Agribusiness Economics and Management; Behavioral & Institutional Economics;
    All these keywords.

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:ags:aaea18:274070. 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/aaeaaea.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.