493 research outputs found
Prediction of Emerging Technologies Based on Analysis of the U.S. Patent Citation Network
The network of patents connected by citations is an evolving graph, which
provides a representation of the innovation process. A patent citing another
implies that the cited patent reflects a piece of previously existing knowledge
that the citing patent builds upon. A methodology presented here (i) identifies
actual clusters of patents: i.e. technological branches, and (ii) gives
predictions about the temporal changes of the structure of the clusters. A
predictor, called the {citation vector}, is defined for characterizing
technological development to show how a patent cited by other patents belongs
to various industrial fields. The clustering technique adopted is able to
detect the new emerging recombinations, and predicts emerging new technology
clusters. The predictive ability of our new method is illustrated on the
example of USPTO subcategory 11, Agriculture, Food, Textiles. A cluster of
patents is determined based on citation data up to 1991, which shows
significant overlap of the class 442 formed at the beginning of 1997. These new
tools of predictive analytics could support policy decision making processes in
science and technology, and help formulate recommendations for action
Managing by design
This editorial written by myself and Marc Gruber of EPFL. It explores the role of design thinking in the management of large organisations, and focuses on how design principles can be applied to the design of the workplace and the nature of work itself. As Head of Service Design at the RCA, my contribution is on how to apply design thinking methods for managers and the 6 key elements described in this approach
In the last decade the importance of design and the value of design thinking as a tool for innovation has been recognized by both business and government. Design has become a strategic tool for business helping to translate technological innovation into user value, connecting with consumer needs and creating compelling product and service experiences that create new business value. In this paper we consider a further application of design thinking by considering how managers can apply it to the design of the workplace experience. Many enterprises, especially those in the knowledge economy, are defined by their human resources and their capacity to attract and retain talent. In this competitive environment the design of the employee experience and the services that support them and enable them to deliver value to the clients and colleagues, is a key differentiator. Applying design thinking to the design of work itself, the systems that support it, and the physical and virtual environments in which it takes place can help business and organizational leaders to attract and retain top talent, as well as to enhance productivity and operational effectiveness. In this paper we explore the key factors and principles by which leaders and managers can apply design thinking to transform the workplace experience and we propose 6 key elements for managers to enable that transformation and enhance social capital and business and organisational performance
Corrigendum to: Cohort profile: Extended Cohort for E-health, Environment and DNA (EXCEED)
This is a correction to: International Journal of Epidemiology, Volume 48, Issue 3, June 2019, Pages 678–679j, https://doi.org/10.1093/ije/dyz07
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Research on Markets for Inventions and Implications for R&D Allocation Strategies
Several streams of literature have examined the phenomenon of “markets for inventions”, that is, the trade of elements of knowledge which are “disembodied” from individuals, organizations, and products. The aims of this paper are to bring together the various streams of research in this area and discuss their major assumptions and limitations, in order to provide a comprehensive framework for understanding the phenomenon, and identify promising paths for future research. We start our review by identifying the object of market exchange—that is, an invention whose knowledge has been codified and disembodied from individuals, organizations, or artifacts. We then identify those factors that enable firms to trade inventions, distinguishing between institutional-, firm-, and industry-level factors. We close our analysis of the extant literature by discussing the implications of markets for inventions for firm behavior and performance. Against this background, we highlight an important avenue for future research. A neglected implication of the development of invention markets is that firms are confronted with a wide variety of technological paths from which to choose, because the opportunity to acquire technologies on the market offers them a greater variety that can their internal R&D departments. However, the streams of research on markets for inventions and on R&D allocation strategies have been surprisingly disconnected so far. Hence, in the final section, we start to establish and explore the link between these literatures, and to identify a research agenda in this domain
Inter-organizational governance and trilateral trust building: a case study of crowdsourcing-based open innovation in China
In a case study of a Chinese crowdsourcing intermediary, we explore the impact of inter-organizational governance on trilateral trust-building. We show that formal control and relational governance mechanisms are essential for swift and knowledge-based trust in R&D crowdsourcing. The case also indicates that Chinese businesses continue to use guanxi (informal personal connections) as a relational and contingent mechanism to maintain affect-based trust, but guanxi is shown to inhibit the growth of Internet-based crowdsourcing for open innovation in China
Existing Knowledge, Knowledge Creation Capability, and the Rate of New Product Introduction in High-Technology Firms
A field study of top management teams and knowledge workers from 72 technology firms demonstrated that the rate of new product and service introduction was a function of organization members' ability to combine and exchange knowledge. We tested the following as bases of that ability: the existing knowledge of employees (their education levels and functional heterogeneity), knowledge from member ego networks (number of direct contacts and strength of ties), and organizational climates for risk taking and teamwork
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