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.
Similar content being viewed by others
References
Bagozzi R.P.: Principle of Marketing Management. Science research Associate Inc., Chicago (1986)
Bagozzi R.P: Marketing Management. Prentice-Hall, Upper Saddle River, NJ (1998)
Baker J., Grewal D., Parasuraman A.: The influence of store environment on quality inferences and store image. J. Acad. Mark. Sci. 22, 328–339 (1994)
Baker J., Parasuraman A., Grewal D., Voss G.B.: The influence of multiple store environment cues on perceived merchandise value and patronage intentions. J. Mark. 66(2), 120–141 (2002)
Bearden W.O.: Determinant attributes of store patronage: downtown versus outlying shopping areas. J. Retail. 53, 15–22 (1977)
Belk R.: Situational variables and consumer behavior. J. Consum. Res. 2, 157–164 (1975)
Berry L.: The components of department store image: a theoretical and empirical analysis. J. Retail. 45(1), 2–20 (1969)
Bettman J.R.: An Information Processing Theory of Consumer Choice. Addison-Wesley, Reading, MA (1979)
Birtwistle G., Clarke I., Freathy P.: Store image in the UK fashion sector: consumer versus retailer perceptions. Int. Rev. Retail Distrib. Consum. Res. 9(1), 1–16 (1999)
Bitner M.J., Booms B.H., Mohr L.A.: Critical service encounters: the employee’s viewpoint. J. Mark. 58, 95–106 (1994)
Carrera, D.A., Mayorga, R.V.: Supply chain management: a modular fuzzy inference system approach in supplier selection for new product development. J. Intell. Manuf. 19, 1–12 (2008)
Chebat J., Michon R.: Impact of ambient odors on mall shoppers’ emotions, cognition, and spending: a test of competitive causal theories. J. Bus. Res. 56, 529–539 (2003)
Collan M., Liu S.: Fuzzy logic and intelligent agents: towards the next step of capital budgeting decision support. Ind. Manag. Data Syst. 103(6), 410–422 (2003)
Donovan R.J., Rossiter J.R.: Store atmosphere: an environmental psychology approach. J. Retail. 58(1), 34–57 (1982)
Donovan R.J., Marcoolyn G., Nesdale A.: Store atmosphere and purchasing behavior. J. Retail. 70, 283–294 (1994)
Erdem O., Oumlil B., Tuncalp S.: Consumer values and the importance of store attributes. Int. J. Retail Distrib. Manag. 27(4), 137–144 (1999)
Grace K.M., Yu L.: Consumer’ perception of store image of joint venture shopping centers: first-tier versus second-tier cities in China. J. Retail. Consum. Serv. 10, 61–70 (2003)
Guiffrida A., Nagi R.: Fuzzy set theory application in production management research: a literature survey. J. Intell. Manuf. 9, 39–56 (1998)
Huff D.L.: Determination of Intra-Urban Retail Trade Areas, Real Estate Research Program, pp. 11–12. University of California, Los Angeles (1962)
James D.L., Durand R.M., Dreves R.: The use of a multi-attribute attitude model in a store image study. J. Retail. 52(2), 23–34 (1976)
Kosko B.: Fuzzy Thinking—The New Science of Fuzzy Logic. Hyperion, New York (1993)
Lau H.C.W., Cheng E.N.M., Lee C.K.M., Ho G.T.S.: A fuzzy logic approach to forecast energy consumption change in a manufacturing system. Exp. Sys. Appl. 34, 1813–1824 (2008)
Lindquist J.D.: Meaning of image: survey of empirical and hypothetical evidence. J. Retail. 50(4), 29–38 (1974)
Magdalena L., Monasterio-Huelin F.: A fuzzy logic controller with learning through the evolution of its knowledge base. Int. J. Approx. Reason. 16, 335–358 (1997)
Maravelakis E., Bilalis N., Antoniadis A., Jones K.A., Moustakis V.: Measuring and benchmarking the innovativeness of SMEs: a three-dimensional fuzzy logic approach. Prod. Plann. Control 17(3), 283–292 (2006)
Martins J.F., Costa B.P.J., Pires A.J., Dente J.A.: New trends in recognizing experimental drives: fuzzy logic and formal language theories. IEEE Trans. Fuzzy Syst. 9(1), 68–87 (2001)
Mazursky D., Jacoby J.: Exploring the development of store images. J. Retail. 62(2), 145–165 (1986)
Mehrabian A., Russell J.A.: An Approach to Environmental Psychology. MIT Press, Cambridge, MA (1974)
Moeli J., Feinberg R.A., Westgate L.: A reinforcement-affect model of mall patronage. Adv. Consum. Res. 19, 441–444 (1991)
Nevin J.R., Houston M.J.: Image as a component of attraction to intra-urban shopping areas. J. Retail. 56(1), 77–93 (1980)
Oxenfeldt A.: Developing a favorable price-quality image. J. Retail. 50, 8–14 (1974)
Samli C.A., Kelly P.J., Hunt K.H.: Improving the retail performance by contrasting management- and customer-perceived store images: a diagnostic tool for corrective action. J. Bus. Res. 43, 27–38 (1998)
Saritas, I., Ozkan, I.A., Allahverdi, N., Argindogan,M.: Determination of the drug dose by fuzzy expert system in treatment of chronic intestine inflammation. Intell. Manuf. 20, 169–176 (2009)
Sherman E., Mathur A., Smith R.B.: Store environment and consumer purchase behavior: mediating role of consumer emotions. Psychol. Mark. 14(4), 361–378 (1997)
Verbruggen H.B., Babuska R.: Fuzzy logic control advances in applications. World Scientific, River Edge, NY (1999)
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
About this article
Cite this article
Lin, LZ., Hsu, TH. A modular fuzzy inference system approach in integrating qualitative and quantitative analysis of store image. Qual Quant 46, 1847–1864 (2012). https://doi.org/10.1007/s11135-011-9561-7
Published:
Issue Date:
DOI: https://doi.org/10.1007/s11135-011-9561-7