In content- and knowledge-based recommender systems often a measure of (dis)similarity between products is used. Frequently, this measure is based on the attributes of the products. However, which attributes are important for the users of the system remains an important question to answer. In...

Revenue Managers usually nest the booking limits to avoid the situation in which high-fare bookings are rejected in favour of low-fare class (The Good). To date, there are both threshold nesting (The Bad) and net nesting (The Ugly) methods. However the consequence on revenues of each one is not...

Marketing managers often provide much poorer evaluations of model-based marketing decision support systems (MDSSs) than are warranted by the objective performance of those systems. We show that a reason for this discrepant evaluation may be that MDSSs are often not designed to help users...

Product-harm crises are among a firm s worst nightmares. Since marketing investments may be instrumental to convince consumers to purchase the firmamp;apos's products again, it is important to provide an adequate measurement of the effectiveness of these investments, especially after the crisis....

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...

Globally, "Retailing" has been always on a high-octane mode from the inception of Walmart in the 1960s to the launch Amazon in 90s. But, as we ushered into the digital landscape with new knowledge on customer data, pertaining to its behavior - the timeline of decision makings and executions has...

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...

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...

Today, Alchian's quot;Uncertainty, evolution and economic theoryquot; (1950) is hailed by evolutionary economists as a most important piece, which resumed an evolutionary brand of theorizing in economics after the eclipse of the interwar period. On the other hand, Alchian's article is also...

Evaluative conditioning is an important determinant of consumers' likes and dislikes. Three experiments show that it can result from two types of learning. First, stimulus-stimulus (S ndash; S) or referential learning allows a conditioned stimulus (e.g., a brand) to acquire valence by triggering...