710,026 research outputs found

    Appropriation of value in Biomedical research outcome at Public Research Organisations

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    Transactions on biomedical research outcomes bring into play strategies that are determined by leveraging resources into quasi-markets and on options based on expectations. To govern such transactions, the choice of appropriate governance structures and the governance of interaction are all too often in remittance of risk and uncertainty. Organisation and communities are prompted by issues concerning intellectual property (IP) to underwrite information, which is inherently fraught with difficulties of discerning ownership and quantifying qualitative business variables. Against that backdrop, we enquire on the mechanisms underpinning value dissipation and value appropriation of biomedical research outcomes to make proposition on the organisational antecedence to innovation. It is a preamble study with the view to developing a meso-level framework to describe mechanisms of value appropriation of upstream biomedical (non-invasive) research at Public Research Organisation. Its underpinning is largely based on the availability appropriability regimes and viability of organizational governance decisions and how the choice of organizational governance form affects both the creation and appropriation of economic value

    A Network Perspective on Inter-Organizational Transfer of R&D Capabilities: A Study of International Joint Ventures in Chinese Automobile Industry

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    Multinational enterprises' transfer of R&D capabilities to their international joint ventures in the less developed countries has been an emerging phenomenon. The purpose of this study is to understand the transfer of R&D capabilities between organizations embedded in drastically different organizational contexts using a network perspective. We identified different networks involved in the R&D capability transfer process from the perspectives of source organization, recipient organization and the interface between them, and analyzed the impact of different attributes of these networks on the effectiveness of R&D capability transfer, based on the notion that R&D capabilities are largely collective knowledge.http://deepblue.lib.umich.edu/bitstream/2027.42/39746/3/wp362.pd

    Markets for technology (why do we see them, why don't we see more of them and why we should care)

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    This essay explores the nature, the functioning, and the economic and policy implications of markets for technology. Today, the outsourcing of research and development activities is more common than in the past, and specialized technology suppliers have emerged in many industries. In a sense, the Schumpeterian vision of integrating R&D with manufacturing and distribution is being confronted by the older Smithian vision of division of labor. The existence and efficacy of markets for technology can profoundly influence the creation and diffusion of new knowledge, and hence, economic growth of countries and the competitive position of companies. The economic and managerial literatures have touched upon some aspects of the nature of these markets. However, a thorough understanding of how markets for technology work is still lacking. In this essay we address two main questions. First, what are the factors that enable a market for technology to exist and function effectively? Specifically we look at the role of industry structure, the nature of knowledge, and intellectual property rights and related institutions. Second, we ask what the implications of such markets are for the boundaries of the firm, the specialization and division of labor in the economy, industry structure, and economic growth. We build on this discussion to develop the implications of our work for public policy and corporate strategy

    International technology transfer: building theory from a multiple case-study in the aircraft industry

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    International technology transfer occurs frequently in international operations, for example in\ud cases of foreign direct investment where companies set-up existing manufacturing lines in new\ud locations. It also occurs in situations of international outsourcing where a new supplier receives\ud product and/or production process information. This technology transfer process often leads to\ud difficulties, for example delays and much higher costs than anticipated. To gain insight into the\ud causes of these difficulties we used a grounded theory approach to describe the process of\ud international production technology transfer. We conducted four case studies in the aircraft\ud industry and analyzed the problems that occurred. We found that technology transfer consists of\ud three phases: preparation, installation and utilization. These three phases are influenced by three\ud types of factors: technological, organizational and environmental. The combination of activities\ud with factors enables an integrated view on international technology transfer. We found that the\ud amount of technology, the accuracy of information, and the extent of organizational and\ud environmental differences have a large impact on the efficiency of the technology transfer\ud process

    Using ICT tools to manage knowledge: a student perspective in determining the quality of education

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    Within the e-learning context of a university, technology has the potential to facilitate the knowledge interaction between the source (instructor) and the recipient (students). From a literature review, it can be concluded that prior studies have not explored the types of channels that encourage knowledge transfer in this environment. For example, how explicit knowledge travels through the e-learning environment and goes through interaction processes and is received and acquired is largely unknown. According to Alavi & Leidner (2001), Information and Communication Technology (ICT) can help speed up the processes of transferring knowledge from those who have knowledge to those seeking knowledge. Within the university context, technologies such as email, Internet, IRC chat, bulletin boards and tools such as WebCT and BlackBoard have the potential to facilitate the transfer of knowledge and act as a link between source and recipient. Effective knowledge transfer has to consider effective knowledge acquisition, which are therefore inexplicably linked. Nonaka's spiral model addresses knowledge acquisition through spiraling processes in which an individual would be able to convert tacit knowledge to explicit knowledge and vice versa. According to Nonaka & Takeuchi (1995) there are four types of interaction, which give way to the conversion of one form of knowledge into another, namely tacit-to-tacit, tacit-to-explicit, explicit-to-tacit and explicit-to-explicit. In an academic environment, this can be studied as the source, either transferring tacit or explicit knowledge, and similarly as the recipient, receiving knowledge either in tacit or explicit form. Nonaka & Takeuchi (1995) also refer to this as the SECI model, where SECI stands for Socialisation, Externalisation, Combination and Internalisation. This 'Research in Progress' reports the outcomes of a study undertaken to understand how and to what extent knowledge spiraling processes and accompanying characteristics of SECI can be ICT-enabled to contribute towards the studying and learning processes for university education. A survey instrument was developed for this purpose and it is currently undergoing peer-review and other customary validity and reliability tests. Once the instrument is validated, it will be administered on about 50 tertiary students. It is hoped that the results obtained from this survey will be reported in the QIK 2005 conference

    Variability of worked examples and transfer of geometrical problem-solving skills : a cognitive-load approach

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    Four computer-based training strategies for geometrical problem solving in the domain of computer numerically controlled machinery programming were studied with regard to their effects on training performance, transfer performance, and cognitive load. A low- and a high-variability conventional condition, in which conventional practice problems had to be solved (followed by worked examples), were compared with a low- and a high-variability worked condition, in which worked examples had to be studied. Results showed that students who studied worked examples gained most from high-variability examples, invested less time and mental effort in practice, and attained better and less effort-demanding transfer performance than students who first attempted to solve conventional problems and then studied work examples
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