We propose an approach for using data on social interactions (e.g., number of recommendations received by consumers, number of recommendations given by adopters, number of social ties) in order to improve the forecasts made by extant diffusion models. We extend major extant diffusion models to...

The silver lining effect predicts that segregating a small gain from a larger loss results in greater psychological value than does integrating them into a smaller loss. Using a generic prospect theory value function, we formalize this effect and derive conditions under which it should occur. We...

Review of Marketing Researchpushes the boundaries of marketing--broadening the marketing concept to make the world a better place. Here, leading scholars explore how marketing is currently shaping, and being shaped by, the evolution of Artificial Intelligence (AI)

We extend Latent Dirichlet Allocation (LDA) by introducing a topic model, Hierarchically Dual Latent Dirichlet Allocation (HDLDA), for contexts in which one type of documents (e.g., search queries) are semantically related to another type of documents (e.g., search results). In the context of...

Web-based customer panels and web-based multimedia capabilities offer the potential to get information from customers rapidly and iteratively based on virtual product profiles. However, web-based respondents are impatient and wear out more quickly. At the same time, in commercial applications,...

We propose and test new "polyhedral" question design and estimation methods that use recent developments in mathematical programming. The methods are designed to offer accurate estimates after relatively few questions in problems involving many parameters. With polyhedral question design, each...

Is the perceived value of things an absolute measurable quantity, as in economists’ notion of ‘‘cardinal utility,” or a relative assessment of the various objects being evaluated, as in economists’ notion of ‘‘ordinal utility”? We believe that the answer depends in part upon...

We explore how consumers form online search queries, given their content preferences. In particular, we explore the role of activation probabilities from queries to results, i.e., the probability that a certain query will retrieve certain content. Using secondary data from Google, we first show...

We develop and test an incentive-compatible Conjoint Poker (CP) game. The preference data collected in the context of this game are comparable to incentive-compatible choice-based conjoint (CBC) analysis data. We develop a statistical efficiency measure and an algorithm to construct efficient CP...