The Effect of Attribute Variation on Consumer Choice Consistency

We study the effect of shifts in attribute level differences on consumer choice consistency. Choice consistency is measured as the variance of the random error component in the consumer utility function: the smaller this variance, the higher choice consistency. We hypothesize that due to increased choice difficulty, choice consistency decreases if attribute level differences increase while average utility level differences between alternatives remain the same. In our empirical illustration we focus on the impact of price level shifts on choice consistency in conjoint choice experiments. Our results show that choice consistency decreases as price level differences increase and absolute price levels increase.     

Simple Decision Aids and Consumer Decision Making

To help consumers deal with increasing amounts of information, many online retailers offer simple decision aids, such as the ability to sort on a particular attribute or eliminate undesired alternatives. The authors propose that consumers use simple decision aids as substitutes for cognitive effort, potentially with adverse consequences for decision making. An experimental study shows that providing unrestricted sorting increases decision quality only when choice conflict is low; beyond a certain point, greater use of the decision aid is associated with declines in decision quality. A second study shows that that allowing consumers to sort alternatives only one time enhances decision quality and, when choice conflict is high, reduces decision effort. A third study shows that providing elimination as well as sorting tools helps mitigate the negative effects of simple decision aids. Although the availability of sorting alone hurts decision quality when choice conflict is high, decision quality under choice conflict is improved when both sorting and elimination tools are provided. Implications for retail practice are discussed.     

Feature-based attributes and the roles of consumers' perception bias and inference in choice

This paper considers decision contexts wherein consumers make choices among alternatives that contain a manifest feature-based attribute: i.e., a discrete, salient and important attribute that describes a dichotomous quality, such as “genetically modified”, “organic”, or “locally grown”. We propose a choice model that can explicitly account for a) perception bias with respect to such an attribute when its information is present, and b) inference formation if this attribute information is missing for some alternatives. The impact of different information presentation formats on consumers' perception bias and inference formation is then examined by applying theories from social psychology. Our model outperforms standard Random Utility models that omit explicit representation of these phenomena. Consistent with theories considered, we find significant evidence of perception bias and inference in the choice data. Our results also provide insights on how consumers may infer the quality of a missing attribute in different competitive framing contexts. Finally, our welfare estimates show that consumers may benefit simply from the information improvement regarding government labeling policies.     

The effect of information overload on consumer choice quality in an on‐line environment

As more and more consumers become part of the net population, retailers and manufacturers as well as dot‐com storefronts are touting consumers by providing an ever‐increasing amount of product information. Their long‐term survival and profitability may be determined by how much and how well their product information is presented to and processed by the consumers. By combining both the traditional and structural approaches to the information‐overload phenomenon, this study investigates the impact of Web site information on consumer choice and psychological states in an on‐line environment. Varying the number of alternatives and attributes (traditional measure) and attribute level distribution across alternatives (structural measure), this study asks subjects to choose the best (dominant) CD player in a given set. Their subjective states such as satisfaction, confidence, and confusion are also measured. Results show that the number of attributes and attribute level distribution are good predictors of the effect of information overload on consumer choice. In addition, the study finds that on‐line information overload results in less satisfied, less confident, and more confused consumers. Implications and suggestions for future research are provided. © 2004 Wiley Periodicals, Inc.     

“I love it” or “I hate it”? The positivity effect in stated preferences for agent evaluation

Consumers often interact with agents to obtain advice about products and services. A consumer’s evaluation of an agent as a source of personalized advice depends, in part, on the extent to which the consumer believes the agent knows and shares her tastes. In this research, we show a positivity effect in the agent evaluation process, whereby consumers perceive alternatives they love (compared to hate) to be more informative to agents about their tastes, and hence more diagnostic to agents for predicting their future evaluations. Further, we show that this positivity effect is moderated by the agent’s level of agreement with the consumer, and is driven by the greater accessibility of information about loved, compared to hated, alternatives. We discuss the implications of these results for interpersonal judgments and agent choice.     

Lack of attribute searchability: Some thoughts

Established theory about the searchability of product attributes has advanced a tripartite classification of product attributes and, correspondingly, a three‐pronged view of consumer evaluation procedures. Using this theory as a springboard, this article takes a closer look at the procedures consumers seem to utilize for evaluation of products that vary in their attribute searchability. Reflecting on current theory and practice, the consumer is construed to employ evaluation procedures different from those indicated by the product‐attribute typology. This is so both because consumers view the attributes differently and because they rely on biased heuristics, as might suit their expertise and involvement. To capture these consumer assessment dynamics, propositions are advanced and empirical methods to test them are suggested. © 2004 Wiley Periodicals, Inc.     

A dimensional versus attribute approach for disaggregate choice models

A fundamental issue facing choice modelers is to make a decision on what kind of independent variables to include in a choice model. With survey data, the two immediate options are: actual product attributes or underlying latent dimensions (factor scores). Using behavioral logic we argue that heterogeneity of consumer perceptions of variables and their saliences should be the key items moderating such a decision. We present empirical evidence to support our theory that dimensional (factor score) based models do better in terms of predictions than attribute based models in more heterogeneous populations. Empirical analysis shows that in segments (where consumer heterogeneity is lower) the predictive performance of attribute based models improves relative to the factor score model and may actually have a better predictive fit when the respondents are relatively homogeneous with respect to attribute ratings and saliences.     

Search for the underlying mechanism of framing effects in multi-alternative and multi-attribute decision situations

This paper extends previous research on the framing effect from single-alternative and single-attribute to multi-alternative and multi-attribute situations. Two experimental studies demonstrate that attribute framing and goal framing influence consumer decision-making in multi-attribute and multi-alternative situations. The results indicate that attribute framing influences only the perceived evaluation of the specific alternatives along a framed attribute, in that the perceived evaluation of the framed attribute is higher in the positive attribute framing condition than in the negative. On the other hand, goal framing influences only the weight of a framed attribute. Specifically, the weight of the framed attribute becomes more important in the positive goal framing condition than in the negative. Further, the results suggest that the attribute framing effects are attributable to the changes in mental representation in the encoding stage of the decision, rather than in the judgment stage.     

The effects of traffic light labels and involvement on consumer choices for food and financial products

Traffic light (TL) labels that inform consumers regarding product safety have received increasing attention in different fields. Behind the background of behavioural economics, this paper presents the results of a split‐sample choice experiment conducted in Germany to evaluate the impact of TL labelling on purchases of food and financial products. We hypothesize that consumers experience different levels of involvement with these two types of products, leading to different recommendations regarding the use of TLs. The results show that TLs affect consumer purchases of both product groups by focusing their attention on specific product attributes. For food, whereas the low‐fat attribute has no significant impact on food choices that do not include TLs, this attribute has a positive impact on choices once it is signalled with a TL label. The positive evaluation of the organic production attribute of a food product without a TL decreases when the same product is labelled with a TL. In the case of financial products, TLs significantly reinforce the impact of all characteristics on choice probability. TLs also generate a halo effect with regard to return variance. Although consumers demonstrate different levels of involvement for the two types of products, involvement does not always impact the evaluation of attributes. Compared with less involved consumers, more involved consumers exhibit more heterogeneous evaluations of the return variability attribute in the case of the financial product and the organic attribute in the case of the food product.     

The market value for product attribute improvements under price personalization

Personalization of the marketing mix is a topic of much interest to marketing academics and practitioners. Using discrete choice demand theory, we investigate the aggregate market value for product attribute improvements when firms are engaged in personalized pricing. Our results provide a theoretically grounded rule for how to aggregate consumer valuations to assess the overall profitability of attribute improvements under price personalization. Under common pricing, each consumer contributes the same margin. Profitability of an attribute improvement is thus driven by inducing more consumers to buy. Consumers with high choice probabilities are given less weight in the market valuation under common pricing as they are less responsive to attribute improvements. Under personalized pricing, profitability of an attribute improvement is driven by extraction of consumer surplus from high valuation consumers. Consumers with higher valuations, and consequently higher choice probabilities, are given more weight in the market valuation under personalized pricing. Since individual consumers play a more central role in the market valuation under personalized pricing, estimation of consumer-level valuations is of increased importance. Under common pricing, the market valuation for an attribute improvement is robust to extreme estimates of the consumer-level valuations. Through our theoretical and empirical analyses, we demonstrate that this robustness does not hold under personalized pricing.     

Retailers’ Merchandise Organization and Price Perceptions

Retailers’ presentation of merchandise to consumers is often organized by brand or by price to facilitate comparison and processing of competitive information. While such organization of product information is presumed to assist consumer decision-making, we suggest that sorting of alternatives on brand names strain cognitive resources more than a price sort, leading to differences in sensitivity to prices for a target product accompanying these two sorts. We conduct three studies to examine this issue and find that sorting of alternatives interacts with consumers’ motivation and influences price perceptions. Our results add nuance to the findings from previous studies examining how assortment affects consumers’ price sensitivity, and suggest that retailers whose appeal is not primarily price-based could benefit by presenting merchandise information sorted by brand name so as to increase perceptions of quality and value.     

Modeling the effects of including/excluding attributes in choice experiments on systematic and random components

This paper examines the impact of attribute presence/absence in choice experiments using covariance heterogeneity models and random coefficient models. Results show that attribute presence/absence impacts both mean utility (systematic components) and choice variability (random components). Biased mean effects can occur by not accounting for choice variability. Further, even if one accounts for choice variability, attribute effects can differ because of attribute presence/absence. Managers who use choice experiments to study product changes or new variants should be cautious about excluding potentially essential attributes. Although including more relevant attributes increases choice variability, it also reduces bias.     

Consumer decision making and variety of offerings: The effect of attribute alignability

In recent years, many companies have considerably increased their number of offering varieties. The underlying rationale for such product strategies is substantiated by the belief that assortment proliferation would better satisfy customers' diverse preferences. However, empirical evidence exists suggesting that if there are too many varieties to choose from, customers sometimes either refrain from making a purchase at all, or else resort to simple selection heuristics. This article approaches the issue of assortment variety from a decision‐theoretical perspective, by positing circumstances under which expanding the number of varieties will positively or negatively affect consumer behavior. Herein, the concept of attribute alignability provides explanatory potential. Two experimental studies are presented which analyze the effect of the number of product varieties on customers' decision‐making behavior by means of manipulating the choice settings in a virtual car configurator. It can be shown that whether the product attributes in question are alignable or nonalignable is the decisive factor in explaining customer decision making under variety. Furthermore, “pseudo‐alignability”is achieved easily via the relabeling of product options. These findings yield concrete managerial insights for the customer‐oriented design of product lines consisting of a basic product and several varieties derived from it. ©2009 Wiley Periodicals, Inc.     

A tool for evaluating advertising concepts: Desirable characteristics as viewed by creative practitioners

Creativity is critical to advertising yet highly subjective. Testing to evaluate alternatives, if done, is often conducted at later stages that are expensive and wasteful. This study examined a set of characteristics about creativity from creative advertising practitioners. These characteristics were subjected to a three-part quantitative analysis that produced a model with four dimensions – novelty, utility, affect, and humor. Further testing showed that the model was useful in predicting the level of creativity in print advertisements, and the tool may be useful for the early evaluation of concepts.     

When does an ethical attribute matter for product evaluation? The role of warm-glow feelings for low-rated products

Research on the effects of ethical attributes has recently gained traction. However, limited research has addressed consumer response to ethical attributes in the current context where product ratings have become of primary importance to make decisions. Specifically, this study examines the relative effect of ethical attributes on product evaluations across different product ratings. Building on cue consistency theory and the negativity bias, we suggest that ethical attributes gain weight when consumers evaluate a low-rated product. This process leads consumers to anticipate more warm-glow feelings, generating better evaluations for such low-rated products featuring an ethical attribute (vs. another type of attribute). Two experiments provide consistent empirical support for this prediction, and demonstrate that, compared to other attributes or no attribute, an ethical attribute increases product evaluations to a larger extent when the product received low (vs. higher) ratings. We show that this effect occurs because of warm-glow feelings: when product ratings are low, consumers anticipate more warm-glow feelings from purchasing a product with an ethical attribute (vs. another type of attribute), leading to better product evaluations. These findings have direct managerial and ethical implications for practitioners.     

The effect of differences in the number of attribute levels on conjoint results

It is well known that the range of attribute variation used in a conjoint design influences the inferred attribute importance. However, even if the range is held constant, the addition of intermediate levels can increase this importance. In this paper we show why the problem occurs for rankorder preferences. The results from an experimental study confirm the existence of a systematic influence due to the number of (intermediate) levels. Surprisingly, the problem is equally strong when rating scale preferences are collected. Several possible solutions are suggested.     

The relative importance of time and dollar values in new product introduction decisions

This study investigates managerial sensitivity to timing differences in new product introduction decisions. Using a case scenario as the research setting, the study finds that in managerial decisions involving a choice between two-attribute alternatives (dollar value and time), respondents shifted their emphasis between attributes when they were personally affected by the decision outcome. Specifically, it was found that an additive constant manipulation (adding a constant to the dollar amount of each alternative) caused respondents to place more emphasis on the time attribute, and a multiplicative constant manipulation (multiplying the dollar amount of each alternative by a constant) caused them to place more emphasis on the dollar-value attribute.The study asks 108 subjects to assume the role of product manager in a case scenario and choose from among three two-attribute alternatives proposed by the case. The personal relevance of the decision was manipulated by telling respondents that the CEO in the decision scenario had stated publicly that the career of the decision maker would be (would not be) affected. The results show that the additive constant and multiplicative constant effects were only found when the decision outcomes would affect the respondents' career.     

First-time buyers' subjective knowledge and the attribute preferences of Chinese car buyers

This research focuses on the subjective knowledge of first time buyers (FTBs hereafter) and how it influences their preference attributes in a market, more specifically, the emerging Chinese car market. Previous research has considered the difference in the subjective knowledge of a product between owners and non-owners but does not account that some non-owners have stronger intentions to make a purchase. Yet, the impact of the purchase goal of FTBs on their subjective knowledge remains unexplained. This research demonstrates that the effect of the purchase goal on subjective knowledge is moderated by product ownership. Specifically, the findings show that the purchase goal only affects the level of subjective knowledge of FTB but not those of potential repurchasing buyers. Furthermore, when segmenting potential FTBs on the basis of their subjective knowledge, the segment of potential FTBs with higher subjective knowledge display similar attribute preferences to owners, while the preference differences are observed when segmenting potential buyers into owners and non-owners. From a managerial perspective, the findings of the research demonstrate the value of using subjective knowledge for consumer segmentation when targeting car buyers.     

The impact of word-of-mouth communication on attribute evaluation

Wright and Lynch (1995) propose that the medium that best communicates the type of attributes is the one most congruent with that type of information. This paper extends on this media congruence hypothesis by examining the impact of word-of-mouth (WOM) communication on the WOM recipient's ratings of search and credence attributes in two different service contexts. Results from two experiments suggest that negative WOM (but not positive WOM) is more effective in changing the evaluation of credence attributes than that of search attributes for unfamiliar brands. This finding implies that marketers of such unfamiliar brands need to have different approaches to deal with the impact of negative WOM on different attribute types.