ASSOCIATION FOR CONSUMER RESEARCH Labovitz School of Business & Economics, University of Minnesota Duluth, 11 E. Superior Street, Suite 210, Duluth, MN 55802 Brand Name and Consumer Inference Making in Multigenerational Product Introduction Context Seigyoung Auh, University of Melbourne Chuan-Fong Shih, Wake Forest University EXTENDED ABSTRACT - What is the significance of Microsoft using brand names that correspond to Windows 95, Windows 98, Windows 2000 and now Windows XP? What message does Intel convey to customers when they change their chip's brand name from 486 to the Pentium series? Although, research has confirmed that brand names associated with numbers and certain letters of the alphabet fit the description of high-tech and complex products (Boyd 1985; Pavia and Costa 1993), little is known as to why that is the case. A related research question that we address in this paper is the role of brand names in affecting upgrade likelihood decisions and the incremental willingness-to-pay for next generation products. Moreover, little is known as to what types of brand names would best summarize different levels of upgrades (normal vs. breakthrough) for next generation products. [to cite]: Seigyoung Auh and Chuan-Fong Shih (2004) ,"Brand Name and Consumer Inference Making in Multigenerational Product Introduction Context", in NA - Advances in Consumer Research Volume 31, eds. Barbara E. Kahn and Mary Frances Luce, Valdosta, GA : Association for Consumer Research, Pages: 390-391. [url]: http://www.acrwebsite.org/volumes/8655/volumes/v31/NA-31 [copyright notice]: This work is copyrighted by The Association for Consumer Research. For permission to copy or use this work in whole or in part, please contact the Copyright Clearance Center at http://www.copyright.com/. Brand Name and Consumer Inference Making in Multigenerational Product Introduction Context Seigyoung Auh, University of Melbourne Chuan-Fong Shih, Wake Forest University EXTENDED ABSTRACT What is the significance of Microsoft using brand names that correspond to Windows 95, Windows 98, Windows 2000 and now Windows XP? What message does Intel convey to customers when they change their chip’s brand name from 486 to the Pentium series? Although, research has confirmed that brand names associated with numbers and certain letters of the alphabet fit the description of high-tech and complex products (Boyd 1985; Pavia and Costa 1993), little is known as to why that is the case. A related research question that we address in this paper is the role of brand names in affecting upgrade likelihood decisions and the incremental willingness-to-pay for next generation products. Moreover, little is known as to what types of brand names would best summarize different levels of upgrades (normal vs. breakthrough) for next generation products. According to cognitive representation of information, when these brand names are used in isolation or outside of any context that provides it any substantive meaning, they would be processed in a manner consistent with surface-level processing. However, multigenerational high-tech products are usually interpreted within a time progressive framework. In other words, the notion of time provides life and meaning to what otherwise would be nothing more than a group of numbers. A brand name such as MySoft 3.0 may convey a different meaning to consumers than its counterpart MySoft Elite (prone to meaning-level processing), which are both in the 3rd generation of its life cycle. In short, we expect that in the context of time progression, a brand name that is subject to surfacelevel processing (e.g., MySoft 3.0) can provide several advantages to firms compared to a brand name that is most likely subject to meaning-level processing (e.g., MySoft Elite). We test this general hypothesis in experiment 1. In experiment 1, we found that brand name type had an effect on perceived technological improvement, product differentiation, and the degree to which one was willing to pay more for the current version compared to the previous version. Moreover, it was confirmed that the extent to which subjects are willing to pay more for the current version model compared to its predecessor is driven by technological improvement. These results bolster our belief that brand names operate as strong cues for enabling respondents to make inferences about how a current generation of a high tech product may be perceived to be different from its prior generation. Our empirical work is consistent with the results of Brucks, Zeithaml, and Naylor (2000). In experiment 2, we examined how well different types of brand names can reflect respondent’s perceptions of the degree of innovation of an attribute on some key dependent variables. In labeling brands in a sequential manner to reflect generational progression, a common procedure is to adopt progressive numeric labeling (version 1, 2, 3 etc). Such practices are inherently appealing because it is clearly understandable by the consumers as a continuation of prior generation. As such, brand equity and performance expectations can easily be transferred from one generation to the next. Alternatively, firms can pursue brand labeling strategies that signal to the consumer that the next generation product significantly deviates from its prior generation by abandoning sequential branding. A non-sequential brand labeling strategy (e.g., version 1, 2, 3, XT) can break the monotony of the brand signals and suggest that the next generation product is significantly different from prior generations. The two types of brand labeling (sequential vs. non-sequential) can be interpreted as either congruent or incongruent with the attribute improvement of the new generation product. That is, if we have a series of brand names in the order of MySoft 1.0, MySoft 2.0, MySoft 3.0 and a new introduction that corresponds to MySoft XT, this can be conceived as either a congruent or an incongruent brand label depending on the nature of the innovation type. Under a breakthrough innovation condition, MySoft XT would be considered congruent brand name because XT conveys non-continuous improvements. Conversely, when brand name MySoft 4.0 is used, it does not convey this information (breakthrough innovation) to consumers accordingly. When congruency exists between brand labeling and attribute improvement, both are used to evaluate products. When incongruency exists between brand labeling and attribute improvement, product information signaling is averaged to form an overall evaluation such that a breakthrough improvement may not be perceived as innovative as it could have been otherwise (i.e., sequential brand labeling attenuates the impact of a breakthrough innovation) or a non-sequential brand labeling can actually enhance the effect of a nominal innovation. This is similar to the information integration theory such as cognitive algebra introduced in the impression formation literature by Anderson (1965, 1971). According to the cognitive algebra model, when conflicting and incongruent information is present, people tend to engage in an averaging mentality to arrive at a final decision. Our predictions for sequential brand labeling to diminish the effect of a breakthrough innovation and non-sequential brand labeling to improve the beliefs about a normal innovation are consistent with the anchoring and adjustment framework of Hogarth and Einhorn (1992). In simple terms, one information either pulls down or up the belief formed from the other piece of information. Using a 2 (innovation type: normal vs. breakthrough) x 2 (brand name type: sequential vs. non-sequential) experiment, we found a significant interaction between innovation type and brand name type in that the effect of a breakthrough innovation was stronger for congruent brand names than for incongruent brand names. In particular, respondents expressed greater degree of upgrade, differentiation, willingness-to-pay, worthy of upgrade, and purchase likelihood for the next generation product compared to the current generation product in the breakthrough innovation condition as opposed to the normal innovation condition. The results underscore the importance of having brand names for hightech products that are congruent with the level of attribute innovation, especially when the innovation is a breakthrough development. However, the effect of a normal innovation had similar effects on the dependent variables regardless of brand name type. References Anderson, Norman H. (1965), “Averaging Versus Adding as a Stimulus Combination Rule in Impression Formation,” Journal of Experimental Psychology, Vol. 70 (4), 394-400. Anderson, Norman H. (1971), “Choice Test of the Averaging Hypothesis for Information Integration,” Cognitive Psychology, 2, 313-324. 390 Advances in Consumer Research Volume 31, © 2004 Advances in Consumer Research (Volume 31) / 391 Boyd, Colin W. (1985), “Point of Biew, Alpha-Numeric Brand Names,” Journal of Advertising Research, 25 (5), 48-52. Brucks, Merrie, Valarie A. Zeithaml, and Gillian Naylor (2000), “Price and Brand Name as Indicators of Quality Dimensions for Consumer Durables,” Journal of the Academy of Marketing Science, Vol. 28, No. 3, 359-374. Hogarth, Robin M. and Hillel J. Einhorn (1992), “Order Effects in Belief Updating: The Belief-Adjustment Model,” Cognitive Psychology, 24, 1-55. Pavia, Teresa M. and Janeen Arnold Costa (1993), “The Winning Number: Consumer Perceptions of Alpha-Numeric Brand Names,” Journal of Marketing 57 (July), 85-98.