Linking Consumer Perception of Store Image Using FANP

Abstract

Both theoretical and practical efforts in store image often neglect the characteristics that have interactions and mutual influence among attributes or criteria, even in the stages of different brand life cycles. This study aims at creating a hierarchical framework for the store image managements. The analytical network process and fuzzy sets theory have been applied to both share of mind in store image and inherent interaction/inter-dependencies among diverse information resources. A real empirical application has been demonstrated for retailers. Both the theoretical and practical background of this paper have shown that fuzzy analytical network process can capture consumer’s perception existing incomplete and vague information for the mutual influence on attribute and criteria of the store image attributes.

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L. Lin and H. Yeh, "Linking Consumer Perception of Store Image Using FANP," iBusiness, Vol. 4 No. 1, 2012, pp. 18-28. doi: 10.4236/ib.2012.41003.

Conflicts of Interest

The authors declare no conflicts of interest.

References

[1] N. J. Ashill, M. Frederikson and J. Davies, “Strategic Marketing Planning: A Grounded Investigation,” Euro- pean Journal of Marketing, Vol. 37, No. 3-4, 2003, pp. 430-460. doi:10.1108/03090560310459032
[2] B. Hall, “A New Model for Measuring Advertising Effec- tiveness,” Journal of Advertising Research, Vol. 42, No. 2, 2002, pp. 23-31.
[3] G. Birtwistle, I. Clarke and P. Freathy, “Store Image in the UK Fashion Sector: Consumer versus Retailer Per- ceptions,” International Review of Retail, Distribution and Consumer Research, Vol. 9, No. 1, 1999, pp. 1-16. doi:10.1080/095939699342651
[4] J. Semeijn, A. C. R. van Riel and A. B. Ambrosini, “Con- sumer Evaluations of Store Brands: Effects of Store Im- age and Product Attributes,” Journal of Retailing and Consumer Services, Vol. 11, No. 4, 2004, pp. 247-258. doi:10.1016/S0969-6989(03)00051-1
[5] A. C. R. Van Riel, J. Lemmink and H. Ouwersloot, “Con- sumer Evaluations of Brand Extensions: Differences be- tween Goods and Services,” Journal of Service Research, Vol. 3, No. 3, 2001, pp. 220-231. doi:10.1177/109467050133003
[6] D. J. Burns and H. B. Warren, “Need for Uniqueness: Shopping Mall Preference and Choice Activity,” Interna- tional Journal of Retailing and Distribution Management, Vol. 23, No. 12, 1995, pp. 4-12. doi:10.1108/09590559510103954
[7] D. L. James, R. M. Durand and R. Dreves, “The Use of A Multiattribute Attitude Model in A Store Image Study,” Journal of Retailing, Vol. 52, No. 2, 1976, pp. 23-34.
[8] J. D. Lindquist, “Meaning of Image: Survey of Empirical and Hypothetical Evidence,” Journal of Retailing, Vol. 50, No. 4, 1974, pp. 29-38.
[9] D. Mazursky and J. Jacoby, “Exploring The Development of Store Images,” Journal of Retailing, Vol. 62, No. 2, 1986, pp. 145-165.
[10] P. Temporal, “Advanced Brand Management: from Vision to Valuation,” John Wiley and Sons, Hoboken, 2002.
[11] T. Erdem, J. Swait and J. Louviere, “The Impact of Brand Credibility on Consumer Price Sensitivity,” International Journal of Research in Marketing, Vol. 19, No. 1, 2002, pp. 1-19. doi:10.1016/S0167-8116(01)00048-9
[12] R. C. Kwok, D. Zhou, Q. Zhang and J. Ma, “A Fuzzy Multi-Criteria Decision Making Model for IS Student Group Project Assessment,” Group Decision and Nego- tiation, Vol. 16, No. 1, 2007, pp. 25-42. doi:10.1007/s10726-006-9029-7
[13] Y. M. Wang, Y. Luo and Z. Hua, “On the Extent Analysis Method for Fuzzy AHP and Its Applications,” European Journal of Operational Research, Vol. 186, No. 2, 2008, pp. 735-747. doi:10.1016/j.ejor.2007.01.050
[14] Y. M. Wang, T. M. S. Elhag and Z. Hua, “A Modified Fuzzy Logarithmic Least Squares Method for Fuzzy Ana- lytic Hierarchy Process,” Fuzzy Sets and Systems, Vol. 157, No. 23, 2006, pp. 3055-3071.
[15] T. L. Saaty, “Decision Making with Dependence and Feedback: The Analytic Network Process,” RWS Publica- tions, Pittsburgh, 1996.
[16] T. L. Saaty, “Rank from Comparisons and from Ratings in the Analytic Hierarchy/Network Processes,” European Journal of Operational Research, Vol. 168, No. 2, 2006, pp. 557-570. doi:10.1016/j.ejor.2004.04.032
[17] J. J. Buckley, “Ranking Alternatives Using Fuzzy Num- bers,” Fuzzy Sets and Systems, Vol. 15, No. 1, 1985, pp. 21-31. doi:10.1016/0165-0114(85)90013-2
[18] Q. Zhu and E. S. Lee, “Comparison and Ranking of Fuzzy Numbers in Fuzzy Regression Analysis,” Omnitech Press, Warsaw, 1992.

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