Digital game-based learning (DGBL) has been perceived as an engaging teaching approach to foster students’ learning and motivation. There are different opinions about the potential benefits of gaming on students’ academic achievements, motivation, and skills in science courses due to the...

The objective of the paper is to confront the conclusions in the seminal papers of Lindbeck and Snower (2001, 2000, 1996) and Snower (1998) with the empirical evidence in the manufacturing sector, thus testing the from-Tayloristic-to-holistic-organization model. Starting from stylized facts as...

In this article we discuss the nature and productivity of informal innovation networks, i.e. informal collaborative arrangements between organizations engaged in product or process innovation. Such networks can be used in any phase of the innovation process, but their informal nature makes them...

We examine the effect of a threat of entry on experimentation about demand by an incumbent monopolist when there is a fixed cost of entry. We also examine the impact of experimentation on the probability of entry into the market. We show that experimentation may itself be used as a tool for...

This chapter offers a theory and method for the analysis of the dynamics, i.e. the development, of clusters for innovation. It employs an analysis of three types of embedding: institutional embedding, which is often localized, structural embedding (network structure), and relational embedding...

In this study, we examine the nature of Schumpeterian competition between entrants and incumbents. We argue that incumbents may respond to the threat of entry by either attacking the entrant or trying to learn from it, and that entrants, in turn, may react by either reciprocating the incumbent's...

Previous studies on the measurement of learning-by-doing emphasize the importance of accounting for multi-vintage effects having an impact on firms' production costs through economies of scope. This study shows that accounting for cannibalization effects on the demand side is equally important...

This article aims to test the relevance of learning through Genetic Algorithms (GA) and Learning Classifier Systems (LCS), in opposition with fixed R&D rules, in a simplified version of the evolutionary industry model of Nelson and Winter. These three R&D strategies are compared from the points...

Firms in advanced economies are increasingly outsourcing software and technology development as well as other knowledge work to a worldwide supply base. Standard economic and learning models predict that focal firms should outsource either all or none of a particular activity unless extra...

We study a two-period supply chain in which a manufacturer produces a product, learns to reduce cost, and sells it through a retailer with a price-dependent demand. The manufacturer's second-period production cost declines linearly in the first-period production with a random learning rate. The...