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. 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.
    2. 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.
    3. 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.
    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. 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.
    2. 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.
    3. 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.
    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. 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.
    9. 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).
    10. Eva Cerio & Alain Debenedetti, 2019. "From dispossession to objects' reuse: trajectories and practices in the context of clothing," Post-Print hal-02135221, HAL.
    11. Elizabeth G. Pontikes & William P. Barnett, 2015. "The Persistence of Lenient Market Categories," Organization Science, INFORMS, vol. 26(5), pages 1415-1431, October.
    12. Rong Li & Amiya K. Basu, 2020. "Pricing Strategy for GM Food: Impact of Consumer Attitude Heterogeneity and GMO Food Labelling," Annals of Operations Research, Springer, vol. 291(1), pages 463-474, August.
    13. Heffner, Reid R., 2007. "Semiotics and Advanced Vehicles: What Hybrid Electric Vehicles (HEVs) Mean and Why it Matters to Consumers," Institute of Transportation Studies, Working Paper Series qt9mw1t4w3, Institute of Transportation Studies, UC Davis.
    14. Fusco, Elisa, 2023. "Potential improvements approach in composite indicators construction: The Multi-directional Benefit of the Doubt model," Socio-Economic Planning Sciences, Elsevier, vol. 85(C).
    15. Xue, Hong & Mainville, Denise Y. & You, Wen & Nayga, Rodolfo M., Jr., 2009. "Nutrition Knowledge, Sensory Characteristics and Consumers’ Willingness to Pay for Pasture-Fed Beef," 2009 Annual Meeting, July 26-28, 2009, Milwaukee, Wisconsin 49277, Agricultural and Applied Economics Association.
    16. Barbara Baarsma, 2003. "The Valuation of the IJmeer Nature Reserve using Conjoint Analysis," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 25(3), pages 343-356, July.
    17. Kowalska-Pyzalska, Anna & Michalski, Rafał & Kott, Marek & Skowrońska-Szmer, Anna & Kott, Joanna, 2022. "Consumer preferences towards alternative fuel vehicles. Results from the conjoint analysis," Renewable and Sustainable Energy Reviews, Elsevier, vol. 155(C).
    18. Kim, Junghun & Seung, Hyunchan & Lee, Jongsu & Ahn, Joongha, 2020. "Asymmetric preference and loss aversion for electric vehicles: The reference-dependent choice model capturing different preference directions," Energy Economics, Elsevier, vol. 86(C).
    19. Horna, J. Daniela & Smale, Melinda & von Oppen, Matthias, 2005. "Private Participation In Agricultural Extension In Nigeria And Benin: Determining The Willingness To Pay For Information," 2005 Annual meeting, July 24-27, Providence, RI 19401, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    20. Sheng, Shibin & Pan, Yue, 2009. "Bundling as a new product introduction strategy: The role of brand image and bundle features," Journal of Retailing and Consumer Services, Elsevier, vol. 16(5), pages 367-376.

    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.