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This paper aims to investigate how consumers adjust their price expectations for brands in response to previously encountered prices. The effects of two distinct components of price history, focal and contextual, are examined. The focal component represents the role of a brand's own previous price(s) in determining future price expectations. In contrast, the contextual component represents the impact of the prices of previously considered competing brands.

A total of 60 subjects were enrolled to participate in a longitudinal, quantitative, survey‐based study that required them to provide information on brand perceptions, price expectations, brand consideration and choice.

Empirical comparison of several model formulations confirms that both components are crucial in explaining how consumers adjust their price expectations in response to the prices of considered brands. Consistent with a wide body of research, a brand's own previous price exerts the greatest influence on price expectations. However, the extent to which contextual prices are assimilated depends on the composition of consumers' consideration sets. Avenues for future research and implications for brand pricing and positioning are discussed.

The results offer several unique perspectives that stand out from (and build further on) previous research. First, although previous research has examined the effects of competing brands' current prices on brand choices, it has not incorporated the prices of competing brands that may have been observed on previous shopping occasions. Second, measures and assesses the perceived variability within the consumers' consideration sets influences the impact of the contextual component on a brand's current reference price.

This study empirically investigates consumers’ use of five heuristics (conjunctive, disjunctive, lexicographic, linear additive, and geometric compensatory) in the consideration set formation, a critical first phase before actual choice behavior. Data were collected on the selection of beer brands and fast food outlets by real consumers. Using a decomposition approach in determining the consumers’ choice heuristics, it was found that the conjunctive heuristic is the most often used decision model in the consideration set formation for the two product classes. Implications for brand managers and future research directions are developed.

This research explores the existence of consideration sets as a marketing universal by evaluating consideration set sizes for a shopping good in a cross‐cultural context. Previous studies of marketing universals investigated consumers’ use of product quality signals for shopping goods. This study used two operational definitions of a consideration set and found that both the average number of brands considered and the number of brands tried on were statistically equal for two matched samples in different cultures, supporting the status of consideration sets as a marketing universal.

Develops and tests a general model for understanding the influence of query‐based decision aids (QBDA) on consumer decision making in the electronic commerce environment. The results show that the use of well‐designed query‐based decision aids leads to increased satisfaction with the decision process and increased confidence in judgements. The number of stages of phased narrowing of the consideration set was higher in the case of subjects who had access to the query‐based decision aids. The mediating variables through which this influence occurs are size of the consideration set, similarity among the alternatives in the consideration set, cognitive decision effort, and perceived cost savings. The size of the consideration set and the similarity among the alternatives in the consideration set were higher in the case of subjects who had access to the query‐based decision aid. Subjects who had access to the query‐based decision aid perceived an increased cost savings and a lower cognitive decision effort associated with the purchase decision. This research is done in the context of consumers searching for information on the World Wide Web prior to the purchase of cars.

Most state-of-the-art approaches for the analysis of the process of travel decision-making follow Woodworth’s neo-behaviouristic S–R (stimulus–response) or S–O–R (stimulus–organism–response) model. However, within this model, scholars primarily focus on the S–R relationship, investigating specific decisions by describing or explaining an outcome as the result of an input of several stimuli. There is a lack of investigation into the “O” dimension of the S–O–R model. This paper aims to contribute towards closing of this gap by conceptually and holistically expanding existing models with new perspectives and components.

The authors base the conceptual process on a subjective/interpretative research paradigm, by combining outcomes from different theories and concepts into a new, more holistic approach; and challenging this approach by seeking counterarguments as well as supportive arguments at three conferences and workshops.

The paper expands the body of literature by positing a generic conceptual operationalization model focusing on the organism (“O”) domain of decision-making. To achieve this, and further to operationalize the S–O–R model, the paper proposes to integrate an M–O–A (motivation–opportunity–ability) approach.

The analysis of the body literature reveals that there is still a lack of analytical and especially workable models/approaches for the analysis of the process of tourist decision-making. The paper contributes to that discussion by offering an alternative and generic operationalization of the tourist decision-making process by inducing a theoretical framework from the deductions gleaned from a number of existing theories.

Low-income consumers (LICs) have gained more attention from marketers after Prahalad and Hart (2004) called attention to untapped opportunities among the world’s poorest. Once neglected and seen as price-driven, more recent research has depicted LICs as brand-conscious consumers who are willing to pay a premium for quality. However, because LICs must balance their tight budgets with aspirations for branded items, this perspective may be too optimistic. To address this issue, the purpose of this paper is to investigate brand consideration and loyalty among LICs across a wide range of products.

The authors used a qualitative-inductive approach to assess LICs’ brand considerations across ten fast-moving consumer goods. In-depth interviews with 20 Brazilian LICs were conducted.

The authors found that brand loyalty among LICs is both context- and category-dependent. Patterns of loyalty are influenced by five factors: perceived differentiation, perceived risk, contextual usage, proportion of the category expenditure to household income and hedonic vs functional consumption. It seems that the interplay of these factors ultimately shapes differently the attitudes and repeated patronage of brands within each category among LICs.

Generalizability of findings is limited owing to the qualitative method used.

The authors provide practical insights to managers concerning key attributes that influence brand consideration and loyalty among LICs.

This paper adds to the yet limited knowledge on LICs and provides a deeper and more holistic understanding of the relation of LICs with brands.

This paper deals with choice set generation for the estimation of route choice models. Two different frameworks are presented in the literature: one aims at generating consideration sets and one samples alternatives from the set of all paths. Most algorithms are designed to generate consideration sets but fail in general to do so because some observed paths are not generated. In the sampling approach, the observed path as well as all considered paths is in the choice set by design. However, few algorithms can be actually used in the sampling context.

In this paper, we present the two frameworks, with an emphasis on the sampling approach, and discuss the applicability of existing algorithms to each of the frameworks.

Departing from conflicting findings on the role of involvement in the formation of the consideration set, the authors of this study seek to shed light to the wine consumer behaviour and expand previous findings in the bring-your-own-bottle (BYOB) of wine restaurant industry. The authors seek to determine the contradictory effect of involvement on the consideration set size and variety.

Three empirical studies were conducted. In Study 1, the relationships were tested in a personal consumption situation and in Study 2 in a gift-giving context. Finally, in Study 3, inconsistencies in the intensity of the hypothesised relationships were explored by testing the triple interaction amongst the three variables (i.e. involvement, decision-making context and decision domain).

According to the authors' findings BYOB of wine consumers form larger considerations sets in memory-based decision contexts. Involvement's effect on wine consideration set size is stronger in memory-based decisions. BYOB restaurant patrons form smaller sets of alternatives for personal consumption. BYOB restaurant patrons form more heterogeneous sets of alternatives in wine gift-giving. BYOB of wine restaurants should facilitate consumers' wine-selection process.

The authors make an effort to explain and determine the up-to-date contradictory effect of restaurant patrons' involvement on the BYOB of wine consideration set size and the amount of variety contained therein. The study offers new insights, by unfolding the moderating effect of decision-making contexts (i.e. memory-based versus stimuli-based) and decision domains (i.e. personal consumption versus gift-giving) on this effect of involvement on the properties of consideration sets.

This article addresses simultaneously two important features in random utility maximisation (RUM) choice modelling: choice set generation and unobserved taste heterogeneity. It is proposed to develop and to compare definitions and properties of econometric specifications that are based on mixed logit (MXL) and latent class logit (LCL) RUM models in the additional presence of prior compensatory screening decision rules. The latter allow for continuous latent bounds that determine choice alternatives to be or not to be considered for decision making. It is also proposed to evaluate and to test each against the other ones in an application to home-to-work mode choice in the Paris region of France using 2002 data.

The purpose of the paper is to identify store format attributes that impact on store format choice when consumers conduct fill‐in or major trips to buy groceries. By doing so, we take into consideration that consumers patronise multiple (store based) formats depending on the shopping situation operationalised by the type of shopping trip.

The paper adopts the conceptual framework of random utility theory via application of a multinomial logit modelling framework. The analysis is based on a survey of 408 consumers representing households in a clearly defined central European retail area.

The results reveal a considerable moderating effect of the shopping situation on the relationship between perceived store format attributes and store format choice. Consumers' utilities are significantly higher for discount stores and hypermarkets when conducting major trips. To the contrary, supermarkets are preferred for fill‐in trips in the focussed retail market. Merchandise‐related attributes of store formats have a higher impact on the utility formation regarding major‐trips, whereas service‐ and convenience‐related attributes do so with regards to fill‐in trips.

The findings can only be generalised to retail markets with similar characteristics to the one under study. It is highly concentrated, contains a considerable share of small size retail stores, it is urban and has clear cut boundaries due to its geographical location.

This paper considers the fact that consumers patronise multiple store formats and investigates the moderating effect of the shopping situation – operationalised by different types of shopping trips – on store format choice.