This study proposes a typology of reasons why people substantially delay important consumer decisions The delay reasons we study are drawn from delay typologies identified in other contexts as well as from the product diffusion literature. Two studies reported here examine why subjects delay consumer decisions. These support most of the reasons in the proposed typology, while some unanticipated delay reasons also emerge.
We model the effects of variety-seeking and marketing-mix variables on consumers' purchases of coffee using a nested logit model. We premise that on any given purchase occasion, the utilities of brands other than the one purchased on the previous occasion may be correlated due to the consumer's tendency to seek variety or to avoid variety. This results in a two-level hierarchical model where choice on any purchase occasion is conditioned on the brand purchased on the immediately preceding occasion.
The nature of competitive equilibrium is investigated for brands competing in a multi-attribute product space when consumer preferences for product attributes follow nonuniform distributions. Subgame-perfect equilibria are established in a 2-stage game, where firms choose positions in the first stage and prices in the 2nd stage. Two types of entry scenarios are investigated. In the first, the number of brands is given exogenously, and all of them choose positions simultaneously.
This paper examines the attributes that consumers use when making product similarity judgments and their effect on similarity scaling. Previous research suggests that concrete brands are judged using dichotomous features while more abstract product categories are judged using continuous dimensions. This, in turn, suggests that the appropriateness of spatial scaling increases relative to tree scaling as one moves from brands to product categories. The results of two studies support an increase in the fit of spaces relative to trees from brands to categories.
This article proposes a model that nests both a strict tree model and the Luce choice model. The multiplicative formulation allows for easy estimation using least-squares procedures. The model is shown to be more parsimonious than the hierarchical elimination method and in a small illustration, to significantly out-perform Luce in predicting soft-drink preferences.
A conceptual model is developed that describes the relationships among consumer values, utility, and ownership of durables. These relationships are tested empirically using data on a variety of discretionary durables collected from a sample of 735 adults. Results support the model structure and suggest that augmenting the List of Values (Kahle 1983) with a measure of materialism improves prediction of value-related consumer behavior.
In this paper we propose a model for describing consumer decision making among assortments or menus of options from which a single option will be chosen at a later time. Central to the derivation of the model is an assumption that consumers are uncertain about their future preferences. The model captures both the utility of the items within the assortments as well as the flexibility the items offer as a group. We support our model empirically with two laboratory experiments. In the first experiment we test the underlying assumptions.
Similarity scaling often requires subjects to produce such a large number of judgments that fatigue may become a problem. Yet it remains unclear just how respondent fatigue affects similarity perceptions and resulting judgments. The present study uses a categorization perspective to examine the effects of fatigue on similarity judgments. The results suggest that subjects rely increasingly on category membership as they progress through a similarity judgment task.
The ultimate success of new product R&D depends as much on customer acceptance as on technological breakthroughs. In this article, Susan Holak and Donald Lehmann focus on customer acceptance by exploring the manner in which the general attributes of Rogers (relative advantage, compatibility, complexity, divisibility and communicability) plus perceived risk combine to form the intention to buy an innovation. Results demonstrate a causal structure among these attributes and lead to various implications for R&D guidelines and product design.