We examine the situation where hourly data are available to design advertising-response models, whereas managerial decision making can concern hourly, daily or weekly intervals. The key question is how models for hourly data compare to models based on weekly data with respect to forecasting...

Although high frequency diffusion data is nowadays available, common practice is still to only use yearly figures in order to get rid of seasonality. This paper proposes a diffusion model that captures seasonality in a way that naturally matches the overall S-shaped pattern. The model is based...

In this paper we introduce a model that is suitable to study the diffusion of new and dominant multi-generation technologies. Examples are computer operat- ing systems, mobile phone standards, video game consoles. Our model incorporates three new features that are not included in related models....

In this article we put forward a model where aggregate sales are a function of the online search of potential consumers at many locations. We argue that a location may be influential because of its power to drive aggregate sales and this power may be dynamic and evolving in time. Second, the...

Many industries use dynamic pricing on an operational level to maximize revenue from selling a fixed capacity over a finite horizon. Classical risk-neutral approaches do not accommodate the risk aversion often encountered in practice. We add to the scarce literature on risk aversion by...

Marketers often use A/B testing as a tool to compare marketing treatments in a test stage and then deploy the better-performing treatment to the remainder of the consumer population. While these tests have traditionally been analyzed using hypothesis testing, we re-frame them as an explicit...

Organizational research frequently involves seeking judgmental data from multiple informants within organizations. Researchers are often faced with determining how many informants to survey, who those informants should be and (if more than one) how best to aggregate responses when disagreement...

The focus of this study is on the challenges faced by managers in effectively dealing with the new management logic of increasing returns as the information and knowledge intensity of their transformation processes rises. Dealing with these challenges is especially relevant for companies...

Many industries use revenue management to balance uncertain, stochastic demand and inflexible capacity. Popular examples include airlines, hotels, car rentals, retailing, and manufacturing. The classical revenue management approaches considered in theory and practice are based on two...

Understanding technological change is of critical importance to marketers, as it bears new markets, new brands, new customers, and new market leaders. This paper examines the deviation among reviews of a technology's performance and its consequences for inferences on technology evolution...