Investigating feedback effects in the field of brand extension using brand concept maps. Issue 1 (17th October 2017)

• Record Type: Journal Article
• Authors: Kottemann, Pascal; Plumeyer, Anja; Decker, Reinhold
• Is Part Of: Baltic journal of management. Volume 13:Issue 1(2018)
• Page Start: 41
• Page End: 64
• Publication Date: 2017-10-17
• Subjects: Brand image -- Brand extension -- Brand associative network -- Feedback effects; Management -- Baltic States -- Periodicals; 658.009485
• DOI: 10.1108/BJM-02-2017-0031
• Languages: English
• ISSNs: 1746-5265

Abstract

Abstract : Purpose: The purpose of this paper is to apply the (advanced) brand concept maps (BCM) approach to reinvestigate previous findings on feedback effects resulting from brand extension information (BEI) and to explore whether this information affects the structure of a brand's associative network. Design/methodology/approach: This research builds on the associative network memory model, as well as Keller's conceptualization of customer-based brand equity, and uses a series of empirical studies with a total of 839 respondents in two different countries. Findings: The findings reveal that BEI has no significant impact on the structure of the parent brand's associative network at the individual level. Furthermore, key brand image dimensions (i.e. favorability, strength, and uniqueness of brand associations) are not affected. Research limitations/implications: By applying the (advanced) BCM approach, this paper is able to address shortcomings that are incorporated with the use of Likert scales for measuring a brand's image and for investigating feedback effects in the field of brand extension. As the results indicate that the identification of feedback effects might be influenced by the approach used to measure a brand's image, this paper calls for further investigations of feedback effects on a brand's image. Originality/value: Data from three empirical studies provide insights into the cognitive processing of BEI and their impact on a brand's associative network.