ICARE: A Knowledge-Based Underwriting System

This paper reports on the development of ICARE (Intelligent Computer Assisted Risk Evaluation), a knowledge-based system for underwriting personal lines of insurance at a large insurance company. ICARE uses rule-based and object-oriented programming techniques to implement the subjective decision processes of expert underwriters for automobile insurance lines. The system is an easy-to-understand, easy-to-maintain, and efficient software program in which nontechnical underwriters can maintain their own knowledge base of underwriting rules and guidelines.     

Managing academic R&D as a business at K.U. Leuven: context, structure and process

In this paper, we elaborate on how academic R&D can be managed as a business. Based on the case of K.U. Leuven Research and Development, it is shown how an academic institution can develop the context, structure and processes conducive to managing academic R&D as a business. It is argued that universities that intend to take advantage of the economic opportunities of their R&D programmes, should leverage their innovation potential through appropriate strategies, organizational structures and management processes that allow them to manage part of their R&D portfolio as a business without hampering though the fundamental academic values and activities of research and teaching. This balancing act has been the responsibility of K.U. Leuven Research and Development for the last 28 years. It is the subject of the case study reported in this paper.     

Adaptation and Performance in New Businesses: Understanding the Moderating Effects of Independence and Industry

New ventures as well as new business units experience significant difficulties in finding a viable business model. They often need to adapt their initial business model due to the presence of uncertainty and ambiguity. Technology-based companies are confronted with particularly high degrees of uncertainty and ambiguity. We hypothesize that adaptation is crucial for the performance (measured as survival) of these businesses, but that this effect is moderated by the (in)dependence of the new technology-based business and by the industry in which it is active. We test the adaptation-performance hypothesis through a survival analysis of a sample of 117 independent new ventures and business units. Our findings suggest that adaptation is beneficial in less mature, capital-intensive and high-velocity industries but not so in more mature, stable industries. Also, adaptation reduces failure rates in dependent business units as compared to independent ventures.     

Dismantling the ivory tower: The influence of networks on innovative output in emerging technologies

In this article we examine how R&D networking affects an organization's innovative output. Using empirical data on 419 research organizations in transgene plant research over a 20-year period, we test several hypotheses relating their sociometric position in an R&D network to their innovative output. Attention is paid to the relative importance of in-house versus collaborative research. Least squares dummy variable models are used to analyze cross-sectional data across different time periods. The results show that (1) an organization's “network embeddedness” positively influences its innovative output; whereas (2) involvement in collaborative R&D has a curvilinear effect on innovative performance.     

Science and industry: a theory of networks and paradigms

The recent interest in 'network' forms of organization serves as a starting point to understand better the dynamic characteristics of technology development. Network theory allows one to describe the relationship between 'actors' involved in the development of new technologies, both cross-sectionaily and longitudinally, and, as a consequence, to model the structural and behavioural developement of a community of actors (regardless of whether this 'community' is defined as a set of individuals, e.g. the 'scientific' community, or is defined as a collection of organizations, e.g. an industry). In this paper, this network approach is used to develope a theoretical framework to undersiand the knowledge transition from 'scientific' paradigm status to a 'technological' paradigm status. It is belived that the propositions made in this paper will enable truly empirical studies on the nature of the development of 'scientific' and 'technological' paradigms.     

A process view on managing quality during the creation of technical innovations: lessons from field research

Quality Management (QM) principles have left their marks on business practice for more than a decade. Amongst the many business functions that have faced the widespread introduction of QM standards and methodologies, the R&D function has been amongst the last to undergo their pervasive influence. The uncertain and ambiguous nature of the technical innovation process, most present during the conceptual and problem-solving (often R&D intensive) stages, has provided many arguments not to introduce 'traditional' QM approaches in R&D settings. These arguments are often based on a rather rigid and mechanistic view on QM. As recent insights show, this need not be the case. QM can offer an avenue to fundamentally scrutinize and re-think cross-functional integration strategies in innovative contexts. Therefore, the process of introducing QM principles in an R&D environment deserves close attention. This paper offers a field-based insight into these fundamental organizational and managerial issues.