The attraction effect is more pronounced for consumers who rely on intuitive reasoning

According to the attraction effect, the addition of a decoy, or dominated, option to a choice set increases the relative choice share of the dominating option. This study shows that the attraction effect is more pronounced for consumers who rely heavily on intuitive reasoning in judgment and decision making. In contrast, the attraction effect is equally pronounced for consumers who rely more and those who rely less on rational thinking. Over 600 members of a national online consumer panel participated. The results highlight the importance of understanding individual differences in relation to context effects and choice behavior.     

Combining revealed and stated preferences data

Our objective is to develop a unifying framework for the incorporation of different types of survey data in individual choice models. We describe statistical methodologies that combine multiple sources of data in the estimation of individual choice models and summarize the current state of the art of data combination methods that have been used with market research data. The most successful applications so far have combined revealed and stated preference data. We discuss different types of market and survey data and provide examples of research contexts in which one might wish to combine them. Although these methods show a great deal of promise and have already been used successfully in a number of applications, several important research issues remain. A discussion of these issues and directions for further research conclude the paper.     

The effects of in-store themed events on consumer store choice decisions

Retailers are increasingly using in-store events to provide shoppers with unique experiences that will enhance shopping value and help differentiate their stores from competitors. However, relatively little is known about how consumers respond to experiential retail events in terms of their store choice decisions. The purpose of this research was to find out how in-store retail events affect consumers in terms of their store choice decisions. The paper presents findings from a discrete choice experiment that manipulated the presence of different types of in-store themed events in a do-it-yourself (DIY) category. Participants were 312 randomly recruited residents of Melbourne, Australia, who had recently shopped at a hardware store. The experiment was implemented as a mail-back survey. Using logit models the authors assess the effects of the in-store events along with those of various traditional store attributes, including store appearance, price image and distance, on consumer store choice decisions.     

Predicting early adoption of successive video player generations

Early adopters play an important role in the innovation diffusion process. Over the past decades, many factors have been identified as predictors for early adoption of innovations. Less attention has been paid to the relationship between the early adoption of one generation of a specific product and the early adoption of successive product generations. This paper analyzes how early adoption of a new product generation depends on ownership, purchase experience and adoption times for previous generations of the same product. The paper develops predictive models of early adoption for four generations of video player products, based on a survey among 815 Australian consumers. The model allows the testing of various hypotheses. It is shown that previous generation variables outperform conventional socio-demographic and psychographic variables in predicting early adoption but also that the two variable types complement each other. The best predicting models include both previous generation and socio/psychographic variables. It is concluded that previous generation models have substantial merits for new product forecasting as they are more parsimonious than conventional models and the data required to estimate them is relatively easy to obtain.     

In-store music and aroma influences on shopper behavior and satisfaction

Retail markets are increasingly competitive and retailers continuously look to differentiate their retail offering. One way to differentiate is by providing a pleasant and exciting shopping ambience. This paper experimentally tests the effects of music (volume high or low) and aroma (vanilla scent present/absent) on young fashion shoppers in a real retail setting. Results show that volume of music and the presence of a vanilla aroma both have a significant impact on shoppers' emotions and satisfaction levels. Additional analysis reveals that the arousal induced by music and aroma results in increased pleasure levels, which in turn positively influences shopper behaviors, including time and money spend, approach behavior, and satisfaction with the shopping experience. Direct effects of arousal on behaviors as well as an interaction effect between music and aroma on pleasure and time spent in the store are also present. The paper contributes to the better understanding of shoppers' emotions and shopper behaviors in response to in-store atmospherics and offers retailers practical insights into how to create competitive advantage by customizing the atmosphere in their stores.     

Experimental analysis of consumer channel-mix use

Today's consumers have access to multiple consumer distribution channels. To remain competitive, retailers must offer different contact points to consumers. This empirical study examines channel-mix use decisions for 352 online customers' holiday booking preparations. A scenario based experimental approach studies consumer channel-mix use by channel and decision context attributes. The study models effects of time pressure, expected expenditure, channel quality, and access costs on the use of eight channel options, including traditional and online options. Over one-half of respondents use multiple channels to decide trip booking; however, most travelers book trips using the channel they initially investigated for information. Results show expected expenditure does not influence channel use; however, overall cost affects the booking's timing. Time pressures force respondents to visit a travel agent or collect additional brochures to quickly complete the purchase. Results suggest brochures fulfill an important support role.     

Modifying Conjoint Methods to Model Managers' Reactions to Business Environmental Trends: An Application to Modeling Retailer Reactions to Sales Trends

This article proposes and demonstrates how conjoint methods can be adapted to allow the modeling of managerial reactions to various changes in economic and competitive environments and their effects on observed sales levels. Because in general micro-level data on strategic decision making over time are difficult and expensive to obtain, this approach can be of much value to the further study of managerial strategic behavior and market dynamics. In our application we model retailer reactions to changes in their sales, focusing in particular on the actions that affect the demand for retail space and possibilities to improve retail sites. Choice responses to hypothetical sales and environmental trend scenarios are collected from 183 retailers and used to estimate to logit regression model that predicts retailers' probabilities of choosing actions. The model results confirm that retailers are more likely to take action when sales go down than when they go up, and also that they react more quickly if sales go down. It is also found that retailers are more reluctant to change the positioning of their store when confronted with a sales increase than when confronted with a sales decrease. The model is compared with a non-experimental model that is based on retailers' reactions to the trends they report to have observed for their own stores. The article concludes with a discussion of the implications of this research for the further development of conjoint-like approaches to studying entrepreneurial behavior.     

Modeling Group Preferences Using a Decompositional Preference Approach

This article examines an extension of the decompositional, conjoint, or stated-preference approach to model group decisions. In the conventional approach, only one member is chosen to be the group's representative and provide answers for the group as a whole. In this study, all group members are brought together and asked to jointly complete a conjoint preference experiment. The hypothesis is tested that this joint group approach predicts group behavior better than the conventional approach with representatives. The paper presents the estimated part-worth utilities of the group model and compares preference structures of individual group members and groups. Finally, group preference models are tested to determine whether they outperform representative-based preference models in terms of the ability to correctly predict the group preferences for new alternatives. These analyses are performed in the context of residential preferences of co-ops, which are groups of young people, usually not partners, who live together in owner-occupied houses.     

Consumer responses to mobile coupons: The roles of shopping motivation and regulatory fit

Retailers increasingly use mobile coupon services to deliver promotional offers to consumers. This paper draws on the theory of regulatory focus to explain mobile coupon redemption. The paper proposes that redemption depends on the extent to which a mobile coupon requires consumers to divert from their focal shopping motivation. Regulatory fit, the perception of receiving an offer that is relevant to consumers' regulatory goals, mediates this divergence effect, but only for utilitarian shoppers. Results from two scenario experiments support the main hypothesis and show that utilitarian shoppers perceive greater regulatory fit when an offer is compatible with their focal shopping motivation. In contrast, hedonic shoppers perceive no difference in regulatory fit when an offer diverts them from their focal shopping motivation. This explains why hedonic shoppers redeem a wider variety of offers than utilitarian shoppers and why utilitarian shoppers require more personalization to generate coupon redemption.