5,063,840 research outputs found

    Patents vs Trade Secrets: Knowledge Licensing and Spillover

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    We develop a model of two-stage cumulative research and development (R&D), in which one Research Unit (RU) with an innovative idea bargains to license her nonverifiable interim knowledge exclusively to one of two competing Development Units (DUs) via one of two alternative modes: an Open sale after patenting this knowledge, or a Closed sale in which precluding further disclosure to a competing DU requires the RU to hold a stake in the licensed DU’s post-invention revenues. Both modes lead to partial leakage of RU’s knowledge from its description, to the licensed DU alone in a closed sale, and to both DUs in an open sale. The open sale is socially optimal; yet the contracting parties choose the closed sale whenever the interim knowledge is more valuable and leakage is sufficiently high. If the extent of leakage is lower, more RUs choose open sales, generating a non-monotonic relationship between the strength of Intellectual Property Rights (IPR) and aggregate R&D expenditures and the overall likelihood of development by either DU.

    Research Tool Patents and Free-Libre Biotechnology: A Unified Perspective.

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    This paper proposes a unified conceptual framework to analyse the multiple role and consequences of patents in the case of biotechnology research tools. We argue that the knowledge/information and independent/complementary nature of research tools define heterogeneous frameworks in which the patent system plays different roles. In particular, using the analogy with the free-libre open source movement in software, we show that patents can promote open innovation by ensuring the freedom of some pieces of knowledge. A strong conclusion of the paper is therefore that, against common belief, an adequate use of the patent system may contribute to preserving freedom of access to upstream research tools within a framework that we call free-libre biotechnology.Intellectual property rights, sequential innovation, open source, life science, collective invention.

    The impact of open access initiative on knowledge sharing

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    The main focus of this paper is to look at the role of the open access initiative (OAI) as a channel for knowledge sharing that could be used for the disseminate knowledge and research funding. For this purpose OAI was selected for analytical as role communication among the research. To assess if the articles found in the OAI contents knowledge sharing a method called contextual analysis was used. The result showed that OAI can aptly serve as a tool for disseminate knowledge and sharing ideas. By analysis is these material, OAI might be able to drive benefits directly or indirectly and eventually become beneficial took for scholars in their

    Different Aspects of the Emerging OER Discipline

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    The more recent interpretation of open education is related to open education resources (OER), open education practice (OEP), and open access publishing. Although related to the original, distance education based interpretation, there is a distinct community around these areas. The inception of the OER movement, which can be dated as 2001, can be viewed as the basis for the open education movement. Although still relatively recent, this provides a sufficient timeframe for different sub- communities to develop with a range of priorities and interests. Based upon a content analysis of the OER Knowledge Cloud repository, this article examines the emerging sub-cultures within open education practice. Ten types of research article are identified that represent different approaches and issues for the groups involved

    The Two Faces of Open Innovation: NetworkExternalities and Learning.

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    In this paper I differentiate between two types of benefits of open innova- tion. Network externalities e¤ect happens when open innovation increases the participation of one group of users which increases the value of adoption for another group of users. Learning e¤ect happens when economic actors increase their knowledge through access to external sources of knowledge. I investigate how each effect can be dominant depending on nature of products, by drawing upon previous research in product modularity. In addition I discuss the fac- tors which will strengthen or weaken the e¤ects of each dimension. The main variables which influence learning are, tacitness of knowledge, technological op- portunities, appropriability of knowledge and turbulence. Network externalities e¤ect can be strengthened by increased user innovation.
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