IDEAS home Printed from https://ideas.repec.org/a/spr/qualqt/v46y2012i6p1847-1864.html
   My bibliography  Save this article

A modular fuzzy inference system approach in integrating qualitative and quantitative analysis of store image

Author

Listed:
  • Ling-Zhong Lin
  • Tsuen-Ho Hsu

Abstract

The image situation in a store includes various stimuli, such as color, sound, scent, taste, layout and space, which are important clues for buyers. This paper describes store image response and a fuzzy logic model developed by comprehensive literature studies on image measurements (including atmospheric factors) and perceptual measures. Here, a fuzzy inference system is proposed as an alternative approach to handle effectively the impreciseness and uncertainty that are normally found in store image selection processes. This paper also shows that the proposed decision-making model is application to modified stimulus–organism–response (S–O–R) framework for integrating qualitative and quantitative analysis. The result of the simulation indicates a numerical and linguistic change in the store image perception after analyzing three input parameters. This finding is able to provide a solid foundation on which retailers and decision makers can base suitable strategies for ensuring the efficiency and stability of store image management system. Copyright Springer Science+Business Media B.V. 2012

Suggested Citation

  • Ling-Zhong Lin & Tsuen-Ho Hsu, 2012. "A modular fuzzy inference system approach in integrating qualitative and quantitative analysis of store image," Quality & Quantity: International Journal of Methodology, Springer, vol. 46(6), pages 1847-1864, October.
    • Handle: RePEc:spr:qualqt:v:46:y:2012:i:6:p:1847-1864
    DOI: 10.1007/s11135-011-9561-7
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1007/s11135-011-9561-7
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1007/s11135-011-9561-7?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. Samli, A. Coskun & Kelly, J. Patrick & Hunt, H. Keith, 1998. "Improving the Retail Performance by Contrasting Management- and Customer-Perceived Store Images: A Diagnostic Tool for Corrective Action," Journal of Business Research, Elsevier, vol. 43(1), pages 27-38, September.
    2. Belk, Russell W, 1975. "Situational Variables and Consumer Behavior," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 2(3), pages 157-164, December.
    3. Chebat, Jean-Charles & Michon, Richard, 2003. "Impact of ambient odors on mall shoppers' emotions, cognition, and spending: A test of competitive causal theories," Journal of Business Research, Elsevier, vol. 56(7), pages 529-539, July.
    4. Collan, Mikael & Liu, Shuhua, 2002. "Fuzzy Logic and Intelligent Agents: Towards the Next Step of Capital Budgeting Decision Support," Working Papers 398, IAMSR, Åbo Akademi.
    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. Manar Ibraheem & Nadine Tournois, 2018. "Influence of service environment on client loyalty in luxury hotels: A test of the cognition-emotion approach," Post-Print hal-02054852, HAL.
    2. Oh, Jungmi & Fiorito, Susan S. & Cho, Hira & Hofacker, Charles F., 2008. "Effects of design factors on store image and expectation of merchandise quality in web-based stores," Journal of Retailing and Consumer Services, Elsevier, vol. 15(4), pages 237-249.
    3. Morrison, Michael & Gan, Sarah & Dubelaar, Chris & Oppewal, Harmen, 2011. "In-store music and aroma influences on shopper behavior and satisfaction," Journal of Business Research, Elsevier, vol. 64(6), pages 558-564, June.
    4. Bellini, Silvia & Cardinali, Maria Grazia & Grandi, Benedetta, 2017. "A structural equation model of impulse buying behaviour in grocery retailing," Journal of Retailing and Consumer Services, Elsevier, vol. 36(C), pages 164-171.
    5. Shahzad Nasim & Musarrat Shamshir, 2018. "Consumer Behavior Towards Shopping Malls: A Systematic Narrative Review," IBT Journal of Business Studies (JBS), Ilma University, Faculty of Management Science, vol. 14(1), pages 81-94.
    6. Krakover, Shaul & Corsale, Andrea, 2021. "Sieving tourism destinations: Decision-making processes and destination choice implications," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 7(1), pages 33-43.
    7. Marie-Eve Laporte & Géraldine Michel & Sophie Rieunier, 2017. "Towards a better understanding of eating behaviour through the concept of Perception of Nutritional Risk," Post-Print halshs-02923251, HAL.
    8. Sutthipong Meeyai, 2015. "Modeling Store Patronage: A Systematic Review," International Conference on Marketing and Business Development Journal, The Bucharest University of Economic Studies, vol. 1(1), pages 40-48, July.
    9. Elena Kossmann & Mónica Gómez-Suárez, 2018. "Decision-making processes for purchases of ethical products: gaps between academic research and needs of marketing practitioners," International Review on Public and Nonprofit Marketing, Springer;International Association of Public and Non-Profit Marketing, vol. 15(3), pages 353-370, September.
    10. Fuentes, Christian & Bäckström, Kristina & Svingstedt, Anette, 2017. "Smartphones and the reconfiguration of retailscapes: Stores, shopping, and digitalization," Journal of Retailing and Consumer Services, Elsevier, vol. 39(C), pages 270-278.
    11. repec:dgr:rugsom:04f04 is not listed on IDEAS
    12. Toma Andrei, 2021. "Strategies Used By Retailers To Influence Buyers," Annals - Economy Series, Constantin Brancusi University, Faculty of Economics, vol. 6, pages 43-48, December.
    13. Calderwood, Eric & Freathy, Paul, 2014. "Consumer mobility in the Scottish isles: The impact of internet adoption upon retail travel patterns," Transportation Research Part A: Policy and Practice, Elsevier, vol. 59(C), pages 192-203.
    14. Andreas C. Drichoutis & Varvara Kechagia, 2016. "The effect of olfactory sensory cues on economic decision making," Working Papers 2016-4, Agricultural University of Athens, Department Of Agricultural Economics.
    15. Mosteller, Jill & Donthu, Naveen & Eroglu, Sevgin, 2014. "The fluent online shopping experience," Journal of Business Research, Elsevier, vol. 67(11), pages 2486-2493.
    16. Pedro Longart & Eugenia Wickens & Ali Bakir, 2016. "Consumer Decision Process in Restaurant Selection: An Application of the Stylized EKB Model," Tržište/Market, Faculty of Economics and Business, University of Zagreb, vol. 28(2), pages 173-190.
    17. Chandan Parsad & Sanjeev Prashar & Vijay Sai Tata, 2017. "Understanding nature of store ambiance and individual impulse buying tendency on impulsive purchasing behaviour: an emerging market perspective," DECISION: Official Journal of the Indian Institute of Management Calcutta, Springer;Indian Institute of Management Calcutta, vol. 44(4), pages 297-311, December.
    18. Eva Delacroix & Valérie Guillard, 2018. "Qu’est-ce que gaspiller un objet pour les consommateurs ? Triangulation des méthodes pour définir et conceptualiser le gaspillage des objets," Post-Print hal-01824756, HAL.
    19. Errajaa, Karim & Legohérel, Patrick & Daucé, Bruno, 2018. "Immersion and emotional reactions to the ambiance of a multiservice space: The role of perceived congruence between odor and brand image," Journal of Retailing and Consumer Services, Elsevier, vol. 40(C), pages 100-108.
    20. LEMOINE, Jean-François & PLICHON, Véronique, 2000. "Le rôle des facteurs situationnels dans l'explication des réactions affectives du consommateur à l'intérieur d'un point de vente. / The Role of Situational Factors in the Understanding of Consumer Aff," LEG - CERMAB / Centre de Recherche en Marketing de Bourgogne - Cahier de recherche 2000-04, LEG - CERMAB, CNRS UMR 5118, Université de Bourgogne.
    21. Lieve Doucé, 2022. "The Effect of High, Partial, and Low Multisensory Congruity between Light and Scent on Consumer Evaluations and Approach Behavior," Sustainability, MDPI, vol. 14(9), pages 1-25, May.

    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:spr:qualqt:v:46:y:2012:i:6:p:1847-1864. 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.springer.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.