Interactive decision aids (IDAs) typically use concrete product feature-based approaches to interact with consumers. Recently however, interaction designs that focus on communicating abstract consumer needs have been suggested as a promising alternative. This article investigates how temporal...

Traditionally, recommender systems present recommendations in lists to the user. In content- and knowledge-based recommendation systems these list are often sorted on some notion of similarity with a query, ideal product specification, or sample product. However, a lot of information is lost in...

This paper empirically explores the contingencies that drive cannibalizing and complementary effects across channels to provide sales forecasting, promotion planning, and customer relationship management guidance to multichannel managers. We investigate three contingencies in a sales analysis of...

Many SMEs aim for business development by diversifying their offerings to fit global markets. However, internationalization has consequences for all aspects of a company's business model. Even though internationalization poses many business model challenges, the recent development of digital...

A common phenomena in modern recommendation systems is the use of feedback from one user to infer the ‘value’ of an item to other users. This results in an exploration vs. exploitation trade-off, in which items of possibly low value have to be presented to users in order to ascertain their...