Stijn M. J. van Osselaer

A Connectionist Model of Brand-Quality Associations

Consumers use brand names and product features to predict the performance of products. Various learning models offer hypotheses about the source of these predictive associations. Spreading-activation models hypothesize that cues acquire predictive value as a consequence of being present during the acquisition of product performance information. Least mean squares connectionist models hypothesize that any one cue acquires predictive value only to the extent that it can predict differences in performance that are not already predicted by other available cues. Five studies in the context of portfolio-branding strategies provide evidence supporting a least mean squares connectionist model. As predicted by this model, results show that subbranding and ingredient-branding strategies can protect brands from dilution in some situations but can promote dilution in other situations.

Two Ways of Learning Brand Associations

Four studies show that consumers have not one but two distinct learning processes that allow them to use brand names and other product features to predict consumption benefits. The first learning process is a relatively unfocused process in which all stimulus elements get cross-referenced for later retrieval. This process is backward looking and consistent with human associative memory (HAM) models. The second learning process requires that a benefit be the focus of prediction during learning. It assumes feature-benefit associations change only to the extent that the expected performance of the product does not match the experienced performance of the product. This process is forward looking and consistent with adaptive network models. The importance of this two-process theory is most apparent when a product has multiple features. During HAM learning, each feature-benefit association will develop independently. During adaptive learning, features will compete to predict benefits and, thus, feature-benefit associations will develop interdependently. We find adaptive learning of feature-benefit associations when consumers are motivated to learn to predict a benefit (e.g., because it is perceived to have hedonic relevance) but find HAM learning when consumers attend to an associate of lesser motivational significance. Copyright 2001 by the University of Chicago.

Evaluative Conditioning Procedures and the Resilience of Conditioned Brand Attitudes

Changing brand attitudes by pairing a brand with affectively laden stimuli such as celebrity endorsers or pleasant pictures is called evaluative conditioning. We show that this attitude change can occur in two ways, depending on how brands and affective stimuli are presented. Attitude change can result from establishing a memory link between brand and affective stimulus (indirect attitude change) or from direct “affect transfer” from affective stimulus to brand (direct attitude change). Direct attitude change is significantly more robust than indirect attitude change, for example, to changes in the valence of affective stimuli (unconditioned stimulus revaluation: e.g., endorsers falling from grace), to interference by subsequent information (e.g., advertising clutter), and to persuasion knowledge activation (e.g., consumer suspicion about being influenced). Indirect evaluative conditioning requires repeated presentations of a brand with the same affective stimulus. Direct evaluative conditioning requires simultaneous presentation of a brand with different affective stimuli.

Locus of Equity and Brand Extension

Prevailing wisdom assumes that brand equity increases when a brand touts its desirable attributes. We report conditions under which the use of attribute information to promote a product can shift the locus of equity from brand to attribute, thereby reducing the attractiveness of extension products. This effect is moderated by the degree of ambiguity in the learning environment, such that prevailing wisdom is refuted when ambiguity is low but is supported when ambiguity is high.

A Goal-Based Model of Product Evaluation and Choice

The authors propose a goal-based model of product evaluation and choice. The model is intended to account for the role of momentary goal activations in relatively straightforward product evaluation and choice processes. It contributes by (a) providing a coherent and consistent account for goal-based product evaluations/choices, (b) providing a theory of the way goal activation influences product evaluation and choice, and (c) generating predictions about novel phenomena, moderators, and boundary conditions in the area of goal-based product evaluations and choices.

The Handmade Effect: What's Love Got to Do with It?

Despite the popularity and high quality of machine-made products, handmade products have not disappeared, even in product categories in which machinal production is common. The authors present the first systematic set of studies exploring whether and how stated production mode (handmade vs. machine-made) affects product attractiveness. Four studies provide evidence for the existence of a positive handmade effect on product attractiveness. This effect is, to an important extent, driven by perceptions that handmade products symbolically “contain love.” The authors validate this love account by controlling for alternative value drivers of handmade production (effort, product quality, uniqueness, authenticity, and pride). The handmade effect is moderated by two factors that affect the value of love. Specifically, consumers indicate stronger purchase intentions for handmade than machine-made products when buying gifts for their loved ones but not for more distant gift recipients, and they pay more for handmade gifts when purchased to convey love than simply to acquire the best-performing product.

The Anchor Contraction Effect in International Marketing Research

In an increasingly globalized marketplace, it is common for marketing researchers to collect data from respondents who are not native speakers of the language in which the questions are formulated. Examples include online customer ratings and internal marketing initiatives in multinational corporations. This raises the issue of whether providing responses on rating scales in a persons native versus second language exerts a systematic influence on the responses obtained. This article documents the anchor contraction effect (ACE), the systematic tendency to report more intense emotions when answering questions using rating scales in a nonnative language than in the native language. Nine studies (1) establish ACE, test the underlying process, and rule out alternative explanations; (2) examine the generalizability of ACE across a range of situations, measures, and response scale formats; and (3) explore managerially relevant and easily implementable corrective techniques.

Stimulus generalization in two associative learning processes.

Recent studies involving nonlinear discrimination problems suggest that stimuli in human associative learning are represented configurally with narrow generalization, such that presentation of stimuli that are even slightly dissimilar to stored configurations weakly activate these configurations. The authors note that another well-known set of findings in human associative learning, cue-interaction phenomena, suggest relatively broad generalization. Three experiments show that current models of human associative learning, which try to model both nonlinear discrimination and cue interaction as the result of 1 process, fail because they cannot simultaneously account for narrow and broad generalization. Results suggest that human associative learning involves (a) an exemplar-based process with configural stimulus representation and narrow generalization and (b) an adaptive learning process characterized by broad generalization and cue interaction.

Belief in Free Will: Implications for Practice and Policy

The conviction one holds about free will serves as a foundation for the views one holds about the consumption activities of other consumers, the nature of social support systems, and the constraints that should or should not be placed on industry. Across multiple paradigms and contexts, the authors assess peoples beliefs about the control consumers have over consumption activities in the face of various constraints on agency. They find that beliefs regarding personal discretion are robust and resilient, consistent with their finding that free will is viewed as noncorporeal. Nonetheless, they also find that these beliefs are not monolithic but vary as a function of identifiable differences across individuals and the perceived cause of behavior, particularly with regard to physical causation. Taken together, the results support the general wisdom of libertarian paternalism as a framework for public policy and highlight current and emerging situations in which policy makers might be granted greater latitude.

Fooled by Heteroscedastic Randomness: Local Consistency Breeds Extremity in Price-Based Quality Inferences

In some product categories, low-priced brands are consistently of low quality, but high-priced brands can be anything from terrible to excellent. In other product categories, high-priced brands are consistently of high quality, but quality of low-priced brands varies widely. Three experiments demonstrate that such heteroscedasticity leads to more extreme price-based quality predictions. This finding suggests that quality inferences do not only stem from what consumers have learned about the average level of quality at different price points through exemplar memory or rule abstraction. Instead, quality predictions are also based on learning about the covariation between price and quality. That is, consumers inappropriately conflate the conditional mean of quality with the predictability of quality. We discuss implications for theories of quantitative cue learning and selective information processing, for pricing strategies and luxury branding, and for our understanding of the emergence and persistence of erroneous beliefs and stereotypes beyond the consumer realm.