Strategy

This research examines how oral haptics (due to hardness/softness or roughness/smoothness) related to foods influence mastication (i.e., degree of chewing) and orosensory perception (i.e., orally perceived fattiness), which in turn influence calorie estimation, subsequent food choices, and overall consumption volume. The results of five experimental studies show that, consistent with theories related to mastication and orosensory perception, oral haptics related to soft (vs. hard) and smooth (vs. rough) foods lead to higher calorie estimations.

Advertising supported content sampling is ubiquitous in online markets for digital information goods. Yet, little is known about the profit impact of sampling when it serves the dual purpose of disclosing content quality and generating advertising revenue. This paper proposes an analytical framework to study the optimal content strategy for online publishers and shows how it is determined by characteristics of both the content market and the advertising market.

To date the effectiveness of inducing lower-calorie choices by providing consumers with calorie information has yielded mixed results. Here four controlled experiments show that adding dish-specific calorie information to menus (calorie posting) tends to result in lower-calorie choices. However, additionally grouping low-calorie dishes into a single "low-calorie" category (calorie organizing) ironically diminishes the positive effects of calorie posting. This outcome appears to be caused by the effect that grouping low-calorie options has on consumers' consideration sets.

Having invested multiple billion dollars of pension assets, and now teaching "Institutional Investing; Alternatives in Pension Plans," I approach this question with theoretical and empirical knowledge, and more than a modicum of trepidation.

Not only are subjective feelings an integral part of many judgments and decisions, they can even lead to improved decisions and better predictions. Individuals who have learned to trust their feelings performed better in economic-negotiation games than their rational-thinking opponents. But emotions are not just relevant in negotiations and decisions. They also play a decisive role in forecasting future events. Candidates who trusted their feelings made better predictions than people with less emotional confidence.

We model the multifaceted impact of pricing decisions in B2B contexts and show how a seller can develop optimal inter-temporal targeted pricing strategies to maximize long-term customer value. We empirically model the B2B customer's purchase decisions in an integrated fashion. In order to facilitate targeting and to capture the short and long-term dynamics of B2B customer purchasing, our modeling framework weaves together in a hierarchical Bayesian manner, multivariate copulas, a non-homogeneous hidden Markov model, and control functions for price endogeneity.

Emotionally pleasant TV commercials are often preferred over merely factual ones. A large-scale study of Belgian TV ads confirms this notion and shows that such commercials also create more positive feelings toward the advertised brand. Interestingly, these effects depend on neither the level of involvement associated with the product category nor the type of product. Independent of the perceived creativity of the commercial or its informational value, emotionality had a significant impact on the evaluation of a brand.

This paper finds statistically and economically significant out-of-sample portfolio benefits for an investor who uses models of return predictability when forming optimal portfolios. The key is that investors must incorporate an ensemble of important features into their optimal portfolio problem, including time-varying volatility, and time-varying expected returns driven by improved predictors such as measures of yield that include share repurchase and issuance in addition to cash payouts. Moreover, investors need to account for estimation risk when forming optimal portfolios.