IDEAS home Printed from https://ideas.repec.org/a/pal/jmarka/v4y2016i4d10.1057_s41270-016-0008-9.html
   My bibliography  Save this article

Observations on latent need revelation through problem detection analysis

Author

Listed:
  • Stuart Auken

    (Florida Gulf Coast University)

Abstract

The area of latent need revelation and activation can lead to enhanced product/brand differentiation and to a strong receptivity to advertising messages. This study thus focuses on approaches for latent need revelation with a particular emphasis on consumer complaining behavior through problem detection analysis (PDA). The work reveals insights into decision modes favoring PDA, methodologies, successes, and issues with implementation, especially the need for trade-off analyses. It also addresses the relationship between benefits and problems, as well as problems and their frequency of occurrence, including the ability of solved problems to address brand loyalty issues. Overall, the study provides unique observations on the tools and techniques that are especially suited for latent need revelation.

Suggested Citation

  • Stuart Auken, 2016. "Observations on latent need revelation through problem detection analysis," Journal of Marketing Analytics, Palgrave Macmillan, vol. 4(4), pages 147-158, December.
    • Handle: RePEc:pal:jmarka:v:4:y:2016:i:4:d:10.1057_s41270-016-0008-9
    DOI: 10.1057/s41270-016-0008-9
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1057/s41270-016-0008-9
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1057/s41270-016-0008-9?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
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Belk, Russell W & Sherry, John F, Jr & Wallendorf, Melanie, 1988. "A Naturalistic Inquiry into Buyer and Seller Behavior at a Swap Meet," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 14(4), pages 449-470, March.
    2. Green, Paul E & Srinivasan, V, 1978. "Conjoint Analysis in Consumer Research: Issues and Outlook," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 5(2), pages 103-123, Se.
    3. Sujan, Mita, 1985. "Consumer Knowledge: Effects on Evaluation Strategies Mediating Consumer Judgments," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 12(1), pages 31-46, June.
    4. Jiewen Hong & Hannah H. Chang, 2015. ""I" Follow My Heart and "We" Rely on Reasons: The Impact of Self-Construal on Reliance on Feelings versus Reasons in Decision Making," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 41(6), pages 1392-1411.
    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. de Bont, Cees J. P. M. & Schoormans, Jan P. L., 1995. "The effects of product expertise on consumer evaluations of new-product concepts," Journal of Economic Psychology, Elsevier, vol. 16(4), pages 599-615, December.
    2. Heng Tang & Chang Boon Patrick Lee & Kwee Keong Choong, 0. "Consumer decision support systems for novice buyers – a design science approach," Information Systems Frontiers, Springer, vol. 0, pages 1-17.
    3. Peter H. Bloch & Omid Kamran-Disfani, 2018. "A framework for studying the impact of outdoor atmospherics in retailing," AMS Review, Springer;Academy of Marketing Science, vol. 8(3), pages 195-213, December.
    4. Heng Tang & Chang Boon Patrick Lee & Kwee Keong Choong, 2017. "Consumer decision support systems for novice buyers – a design science approach," Information Systems Frontiers, Springer, vol. 19(4), pages 881-897, August.
    5. Urban, Glen L. & Hulland, John S. & Weinberg, Bruce., 1990. "Modeling, categorization, elimination, and consideration for new product forecasting of consumer durables," Working papers 3206-90., Massachusetts Institute of Technology (MIT), Sloan School of Management.
    6. Winfried Steiner & Harald Hruschka, 2002. "A Probabilistic One-Step Approach to the Optimal Product Line Design Problem Using Conjoint and Cost Data," Review of Marketing Science Working Papers 1-4-1003, Berkeley Electronic Press.
    7. Merja Halme & Kari Linden & Kimmo Kääriä, 2009. "Patients’ Preferences for Generic and Branded Over-the-Counter Medicines," The Patient: Patient-Centered Outcomes Research, Springer;International Academy of Health Preference Research, vol. 2(4), pages 243-255, December.
    8. Kareklas, Ioannis & Muehling, Darrel D. & King, Skyler, 2019. "The effect of color and self-view priming in persuasive communications," Journal of Business Research, Elsevier, vol. 98(C), pages 33-49.
    9. Dufhues, T. & Buchenrieder, G., 2004. "Der Beitrag der Conjoint Analyse zur nachfrageorintierten Entwicklung des ländlichen Finanzsektors in Vietnam," Proceedings “Schriften der Gesellschaft für Wirtschafts- und Sozialwissenschaften des Landbaues e.V.”, German Association of Agricultural Economists (GEWISOLA), vol. 39.
    10. Martinovici, A., 2019. "Revealing attention - how eye movements predict brand choice and moment of choice," Other publications TiSEM 7dca38a5-9f78-4aee-bd81-c, Tilburg University, School of Economics and Management.
    11. Deng, Qian (Claire) & Messinger, Paul R., 2022. "Dimensions of brand-extension fit," International Journal of Research in Marketing, Elsevier, vol. 39(3), pages 764-787.
    12. Balaji, M.S. & Roy, Sanjit Kumar & Sadeque, Saalem, 2016. "Antecedents and consequences of university brand identification," Journal of Business Research, Elsevier, vol. 69(8), pages 3023-3032.
    13. James Agarwal & Wayne DeSarbo & Naresh K. Malhotra & Vithala Rao, 2015. "An Interdisciplinary Review of Research in Conjoint Analysis: Recent Developments and Directions for Future Research," Customer Needs and Solutions, Springer;Institute for Sustainable Innovation and Growth (iSIG), vol. 2(1), pages 19-40, March.
    14. Mahesh Balan U & Saji K. Mathew, 2021. "Personalize, Summarize or Let them Read? A Study on Online Word of Mouth Strategies and Consumer Decision Process," Information Systems Frontiers, Springer, vol. 23(3), pages 627-647, June.
    15. Shin, Jungwoo & Hwang, Won-Sik, 2017. "Consumer preference and willingness to pay for a renewable fuel standard (RFS) policy: Focusing on ex-ante market analysis and segmentation," Energy Policy, Elsevier, vol. 106(C), pages 32-40.
    16. Haaijer, Marinus E., 1996. "Predictions in conjoint choice experiments : the x-factor probit model," Research Report 96B22, University of Groningen, Research Institute SOM (Systems, Organisations and Management).
    17. Ha, Jinkyung, 2018. "Consumer valuation of Fintech: The case of Mobile Payment in Korea," 22nd ITS Biennial Conference, Seoul 2018. Beyond the boundaries: Challenges for business, policy and society 190341, International Telecommunications Society (ITS).
    18. P. A. Ferrari & S. Salini, 2008. "Measuring Service Quality: The Opinion of Europeans about Utilities," Working Papers 2008.36, Fondazione Eni Enrico Mattei.
    19. Eva Cerio & Alain Debenedetti, 2019. "From dispossession to objects' reuse: trajectories and practices in the context of clothing," Post-Print hal-02135221, HAL.
    20. Steinhorst, M.P. & Bahrs, E., 2013. "Renditansprüche im Kontext gleichmäßiger Rückflüsse – Ergebnisse eines Experiments mit Stakeholdern des Agribusiness," Proceedings “Schriften der Gesellschaft für Wirtschafts- und Sozialwissenschaften des Landbaues e.V.”, German Association of Agricultural Economists (GEWISOLA), vol. 48, March.

    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:pal:jmarka:v:4:y:2016:i:4:d:10.1057_s41270-016-0008-9. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.palgrave-journals.com/ .

    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.