A great deal of research in consumer decision-making and social-cognition has explored consumers’ attempts to simplify choices by bolstering their tentative choice candidate and/or denigrating the other alternatives. The present research investigates a diametrically opposed process, whereby consumers complicate their decisions.
We examine how consumers update their confidences in ordinal (relative) judgments while evaluating sequential product-ranking and source-accuracy data in percentage versus frequency formats. The results show that when sequential data are relatively easier to mathematically combine (e.g., percentage data), consumers revise their judgments in a way that is consistent with an averaging model but inconsistent with the normative Bayesian model.
In this research we propose a web-based adaptive self-explicated approach for multi-attribute preference measurement (conjoint analysis) with a large number (ten or more) of attributes. Our approach overcomes some of the limitations of previous self-explicated approaches. We developed a computer-based self-explicated approach that breaks down the attribute importance question into a sequence of constant-sum paired comparison questions.
The measurement and timing of reported revenue is critical to performance measurement and the development of accurate forecasting models. GM used incentives to get customers to buy its vehicles. This case asks students to consider how GM should report the sales so that the data is a valid indication of performance and can be used to accurately forecast future sales.
Firms in several markets attract consumers by offering discounts in other unrelated markets. This promotion strategy, which we call "cross-market discounts," has been successfully adopted in the last few years by many grocery retailers in partnership with gasoline retailers across North America, Europe, and Australia. In this paper, we use an analytical model to investigate the major forces driving the profitability of this novel promotion strategy. We consider a generalized scenario in which purchases in a source market lead to price discounts redeemable in a target market.
This guest editorial of JAR considers what the "new normal" of marketing will be and suggests that it will be the digitization of everything, the need for constant change and adaptation affected by the continuous flow of knowledge. Involving consumers in co-creation will be increasingly important, while raw data for market research has increased massively and so will require the tools and people to mine it.