Using only aggregate sales data, the model we propose decomposes the diffusion processes of the respective technological generations and tests if different technological generations have different diffusion parameters. It also estimates the location of the generational transition from the old to...

We study how and why model-based Decision Support Systems (DSSs) influence managerial decision making, in the context of marketing budgeting and resource allocation. We consider several questions: (1) What does it mean for a DSS to be "good?"; (2) What is the relationship between an anchor or...

The authors develop a four-dimensional scale to measure members' satisfaction with virtual communities. The dimensions consist of members' satisfaction with member-member interactions, organizer-member interactions, organizer-community interactions, and the community's site. Using a sample of...

The ongoing unification which takes place on the European political scene, along with recent advances in consumer mobility and communication technology, raises the question whether the European Union can be treated as a single market to fully exploit the potential synergy effects from...

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...

This study contributes to the retail adoption literature by explicitly focusing on the role of both profit-related and relationship variables in explaining new product adoption decisions by retailers, instead of considering either one of these groups of variables in isolation as has been done by...

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...

Marketing literature has long recognized that price response need not be monotonic and symmetric, but has yet to provide generalizable market-level insights on reference price type, asymmetric thresholds and sign and magnitude of elasticity transitions. In this paper, we introduce smooth...

The individual impact of CRM systems is strongly related to impact at the organizational level. Fit with the task of the user is key. CRM systems are successful in organizations that reward customer-centric behavior and that have an analytical decision style. Acceptance of a CRM system should be...

To understand the relevance of marketing efforts, it has become standard practice to estimate the long-run and short-run effects of the marketing-mix, using, say, weekly scanner data. A common vehicle for this purpose is an econometric time series model. Issues that are addressed in the...