Evolution of the knowledge economy: a historical perspective with an application to the case of Europe

The goal of the article is to explore the evolution of original concept of knowledge economy based on science intensive production sectors toward service type economies which significantly changed the role of scientific research and technological innovation for economic growth. The paper argues that this transition is due not only to the structural changes in global production, but the theoretical evolution and aradigmatic shift of the concept of “knowledge economy” in general and “knowledge” in particular has played a significant role. The paper examines the different interpretation of knowledge within new types of intangible economies (e.g., new/Internet, weightless, service, creative, cultural economies) where knowledge is perceived to be generated not as a product of scientific research but as a service or creative activity and critically examined the role of scientific research in a service led knowledge economy. Additionally the paper argue how these phenomena, which marked the global economy in the last decades, enable the transition of the standard concept of knowledge economy originated from industrial production and manufacturing to a knowledge economy equalized with various types of expanding intangible economies, primarily those based on service and creative industries

Disruptive Intelligence - How to gather Information to deal with disruptive innovations

Disruptive innovations are innovations that have the capacity to transform a whole business into one with products that are more accessible and affordable (cf. Christensen et al. 2009). As Christensen et al. argue no business is immune to such disruptive innovations. If these authors are right, it might be relevant to be able to recognize these innovations before they disrupt a business. Incumbents may use this information to protect their business and others may use it to participate in the disruption. Either way, gathering information about potential disruptive innovations is a relevant activity. The production of this information (we call this information “disruptive Intelligence”) is the topic of this paper. In particular, we analyze disruptive innovation theory and formulate several intelligence topics which may help in predicting disruptive innovations. In addition, we formulate several ‘biases’ which may impair the production of ‘disruptive intelligence’

Using the SSAV model to evaluate Business Intelligence Software

Contains fulltext : 127257.pdf (publisher's version ) (Open Access)12 p

Smart Supply Network—Drivers, Opportunities, and Challenges

This paper details our effort in determining how technological advancement facilitates business relationship and ameliorates the competitive advantage of supply network. Using business network management literature, current knowledge employs Activity-Resource-Actor Model (ARAM) to recap the drivers, opportunities, and challenges of smart technologies in a supply network. The following discussions reveal that in presence of technological advancement, precise knowledge sharing, stronger social co-creation, smart management, and robust legal system, business relationship and supplier collaboration can benefit from a sustainable, modern, adaptive, robust, and technology-oriented activity links, resource ties, and actor bonds, per se, smart supply network. The paper confirms that digital-linked activities empower businesses and help them gain more from interdependencies benefits. Digital-linked resources enhance heterogeneity advantage, while digital-bonded actors are obtained from transcendence. The benefits derived from digitizing activity links, resource ties, and an actor bond is reliant upon a company’s own activity structure, interdependencies, and connectedness. However, the challenges of direct/indirect relationship costs prevent companies benefiting from a smart supply network