IDEAS home Printed from https://ideas.repec.org/a/eee/jbrese/v37y1996i2p105-114.html
   My bibliography  Save this article

Ad-evoked feelings: Structure and impact on Aad and recall

Author

Listed:
  • Pieters, Rik G. M.
  • de Klerk-Warmerdam, Marianne

Abstract

No abstract is available for this item.

Suggested Citation

  • Pieters, Rik G. M. & de Klerk-Warmerdam, Marianne, 1996. "Ad-evoked feelings: Structure and impact on Aad and recall," Journal of Business Research, Elsevier, vol. 37(2), pages 105-114, October.
  • Handle: RePEc:eee:jbrese:v:37:y:1996:i:2:p:105-114
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/0148-2963(96)00057-4
    Download Restriction: Full text for ScienceDirect subscribers only
    ---><---

    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. Brown, Steven P & Stayman, Douglas M, 1992. "Antecedents and Consequences of Attitude toward the Ad: A Meta-analysis," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 19(1), pages 34-51, June.
    2. McQuarrie, Edward F & Mick, David Glen, 1992. "On Resonance: A Critical Pluralistic Inquiry into Advertising Rhetoric," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 19(2), pages 180-197, September.
    3. Haley, Russell I. & Baldinger, Allan L., 2000. "The ARF Copy Research Validity Project," Journal of Advertising Research, Cambridge University Press, vol. 40(6), pages 114-135, December.
    4. Pieter Kroonenberg & Jan Leeuw, 1980. "Principal component analysis of three-mode data by means of alternating least squares algorithms," Psychometrika, Springer;The Psychometric Society, vol. 45(1), pages 69-97, March.
    5. Ledyard Tucker, 1966. "Some mathematical notes on three-mode factor analysis," Psychometrika, Springer;The Psychometric Society, vol. 31(3), pages 279-311, September.
    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. T. Faseur & M. Geuens, 2004. "Different Positive Feelings Leading to Different Ad Evaluations: The Case of Cosiness, Excitement and Romance," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 04/280, Ghent University, Faculty of Economics and Business Administration.
    2. Lee, Seunghwan & Kim, Yukyoum & Heere, Bob, 2018. "Sport team emotion: Conceptualization, scale development and validation," Sport Management Review, Elsevier, vol. 21(4), pages 363-376.
    3. Crawford, Heather J. & Gregory, Gary D., 2015. "Humorous advertising that travels: A review and call for research," Journal of Business Research, Elsevier, vol. 68(3), pages 569-577.
    4. P. De Pelsmacker & M. Geuens & P. Anckaert, 2002. "Media context and advertising effectiveness: The role of context appreciation and context-ad similarity," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 02/162, Ghent University, Faculty of Economics and Business Administration.

    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. Mariela González-Narváez & María José Fernández-Gómez & Susana Mendes & José-Luis Molina & Omar Ruiz-Barzola & Purificación Galindo-Villardón, 2021. "Study of Temporal Variations in Species–Environment Association through an Innovative Multivariate Method: MixSTATICO," Sustainability, MDPI, vol. 13(11), pages 1-25, May.
    2. Henk Kiers, 1991. "Hierarchical relations among three-way methods," Psychometrika, Springer;The Psychometric Society, vol. 56(3), pages 449-470, September.
    3. Willem Kloot & Pieter Kroonenberg, 1985. "External analysis with three-mode principal component models," Psychometrika, Springer;The Psychometric Society, vol. 50(4), pages 479-494, December.
    4. Pieter M. Kroonenberg & Cornelis J. Lammers & Ineke Stoop, 1985. "Three-Mode Principal Component Analysis of Multivariate Longitudinal Organizational Data," Sociological Methods & Research, , vol. 14(2), pages 99-136, November.
    5. Elisa Frutos-Bernal & Ángel Martín del Rey & Irene Mariñas-Collado & María Teresa Santos-Martín, 2022. "An Analysis of Travel Patterns in Barcelona Metro Using Tucker3 Decomposition," Mathematics, MDPI, vol. 10(7), pages 1-17, March.
    6. Giuseppe Brandi & Ruggero Gramatica & Tiziana Di Matteo, 2019. "Unveil stock correlation via a new tensor-based decomposition method," Papers 1911.06126, arXiv.org, revised Apr 2020.
    7. Werner Kunz, 2007. "Visualization of competitive market structure by means of choice data," Computational Statistics, Springer, vol. 22(4), pages 521-531, December.
    8. Wilderjans, Tom & Ceulemans, Eva & Van Mechelen, Iven, 2009. "Simultaneous analysis of coupled data blocks differing in size: A comparison of two weighting schemes," Computational Statistics & Data Analysis, Elsevier, vol. 53(4), pages 1086-1098, February.
    9. M. Mercanti-Guerin, 2008. "Perception d'une annonce créative par le consommateur: construction d'une échelle de mesure et impact sur le processus de persuasion publicitaire," Post-Print hal-02054971, HAL.
    10. Kiers, Henk A. L., 1998. "Three-way SIMPLIMAX for oblique rotation of the three-mode factor analysis core to simple structure," Computational Statistics & Data Analysis, Elsevier, vol. 28(3), pages 307-324, September.
    11. Henk Kiers & Pieter Kroonenberg & Jos Berge, 1992. "An efficient algorithm for TUCKALS3 on data with large numbers of observation units," Psychometrika, Springer;The Psychometric Society, vol. 57(3), pages 415-422, September.
    12. Kohei Adachi, 2009. "Joint Procrustes Analysis for Simultaneous Nonsingular Transformation of Component Score and Loading Matrices," Psychometrika, Springer;The Psychometric Society, vol. 74(4), pages 667-683, December.
    13. Michel Velden & Tammo Bijmolt, 2006. "Generalized canonical correlation analysis of matrices with missing rows: a simulation study," Psychometrika, Springer;The Psychometric Society, vol. 71(2), pages 323-331, June.
    14. Paolo Giordani & Roberto Rocci & Giuseppe Bove, 2020. "Factor Uniqueness of the Structural Parafac Model," Psychometrika, Springer;The Psychometric Society, vol. 85(3), pages 555-574, September.
    15. Alwin Stegeman & Tam Lam, 2014. "Three-Mode Factor Analysis by Means of Candecomp/Parafac," Psychometrika, Springer;The Psychometric Society, vol. 79(3), pages 426-443, July.
    16. Maria Mercanti-Guérin & Christophe Bezes, 2010. "La créativité publicitaire représente-t-elle un danger pour les marques ?," Post-Print hal-02056938, HAL.
    17. Caterina Liberati & Paolo Mariani, 2012. "Banking customer satisfaction evaluation: a three-way factor perspective," Advances in Data Analysis and Classification, Springer;German Classification Society - Gesellschaft für Klassifikation (GfKl);Japanese Classification Society (JCS);Classification and Data Analysis Group of the Italian Statistical Society (CLADAG);International Federation of Classification Societies (IFCS), vol. 6(4), pages 323-336, December.
    18. Kenta Mitsushita & Shin Murakoshi & Masato Koyama, 2023. "How are various natural disasters cognitively represented?: a psychometric study of natural disaster risk perception applying three-mode principal component analysis," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 116(1), pages 977-1000, March.
    19. repec:hum:wpaper:sfb649dp2007-032 is not listed on IDEAS
    20. Roberto Rocci & Jos Berge, 2002. "Transforming three-way arrays to maximal simplicity," Psychometrika, Springer;The Psychometric Society, vol. 67(3), pages 351-365, September.
    21. Bilian Chen & Zhening Li & Shuzhong Zhang, 2015. "On optimal low rank Tucker approximation for tensors: the case for an adjustable core size," Journal of Global Optimization, Springer, vol. 62(4), pages 811-832, August.

    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:eee:jbrese:v:37:y:1996:i:2:p:105-114. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/jbusres .

    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.