2,061,747 research outputs found

    Technology Transfer Versus Transformation

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    Research defines technology transfer from the viewpoint of business processes and personnel skills (Rogers, Takegami & Yin, 2001). The focus is on action to adapt and embrace an existing technology to gain efficiency (Gilsing et al., 2011). We examine this phenomenon as innovation based on the ability to transfer existing needs, desires, behaviors, and expectations to new technology. We find technology is adopted when transfer opportunities become manifest and each transfer builds upon its predecessor to create transformation in the long term. This relationship between transfer and transformation gradually builds technology adoption across chasms of the S-curve technology innovation curve

    Austrian higher education institutions' idiosyncrasies and technology transfer system

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    The aim of this paper is to present the findings of a PhD research (Heinzl, 2007) conducted on the Universities of Applied Sciences in Austria. The research is to establish an idiosyncrasy model for Universities of Applied Sciences in Austria showing the effects of their idiosyncrasies on the ability to successfully conduct technology transfer. Research applied in the study is centred on qualitative methods as major emphasis is placed on theory building. The study pursues a stepwise approach for the establishment of the idiosyncrasy model. In the first step, an initial technology transfer model and list of idiosyncrasies are established based on a synthesis of findings from secondary research. In the second step, these findings are enhanced by the means of empirical research including problem-centred expert interviews, a focus group and participant observation. In the third step, the idiosyncrasies are matched with the factors conducive for technology transfer and focused interviews have been conducted for this purpose. The findings show that idiosyncrasies of Universities of Applied Sciences have remarkable effects on their technology transfer abilities. This paper presents four of the models that emerge from the PhD research: Generic Technology Transfer Model (Section 5.1); Idiosyncrasies Model for the Austrian Universities of Applied Sciences (Section 5.2); Idiosyncrasies-Technology Transfer Effects Model (Section 5.3); Idiosyncrasies-Technology Transfer Cumulated Effects Model (Section 5.3). The primary and secondary research methods employed for this study are: literature survey, focus groups, participant observation, and interviews. The findings of the research contribute to a conceptual design of a technology transfer system which aims to enhance the higher education institutions' technology transfer performance

    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

    The determinants of technology transfer efficiency and the role of innovation policies: a survey

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    The diversity found in the various Technology Transfer Offices (TTOs), besides being a consequence of the capacities and motives of the different stakeholders involved (public research organisations, industry, consulting firms and public authorities) also reflects the specificities of public incentives or policies and their differing degrees of commitment to technology transfer. Notwithstanding the fact that the literature on technology transfer is voluminous, few studies (up to the present date) have investigated the role of innovation policy on TTOs efficiency and the instruments available for governments to improve technology transfer from publicly funded research. The present paper surveys the literature on the determinants of TTOs efficiency, highlighting in particular the role of innovation policy. Additionally, evidence within the context of the European Union on innovation policies for technology transfer improvement is detailed.Technology transfer, innovation policies, technology transfer efficiency

    Open innovation process via technology transfer and organizational innovation

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    Purpose: The main aim of the paper is to determine the relationship between technology transfer as a part of open innovation process on organizational innovation in surveyed firms, what has been investigated empirically. Design/Methodology/Approach: The study is based on a survey on firms (n=100) located in Poland. The research model defines the relationship between technology transfer and organizational innovation in the enterprises has been developed. The survey uses the multi stepwise regression modelling. Findings: The surveys has determined the positive relationship between technology transfer and organizational innovations of researched firms. A strong direct effect on surveyed firm’s organizational innovations have different channels of material and non-material technology transfer as well as coopetition for innovation. Practical implications: From the practical point of view it is important that practitioners as managers should invest more effort in innovation activity connected with software development in their companies and coopetition, firstly started from cooperation with the research centers and universities for innovation, based on common innovation projects. Originality/Value: Regarding its methodology, this survey is one of the first studies examining the relationship between technology transfer and technological innovation of firms based on individual-level data and according to the theory. This findings suggest that measurement of technology transfer and its specific channels should be developed further as it is important in firm competitiveness and innovativeness level of firms.peer-reviewe

    Technology Transfer in Forest Pest Management: A Case History

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    The current approach being used in the spruce budworm technology transfer program for the Lake States is described. During 1981-1982, we concentrated on needs assessment surveys and the development and packaging of materials in five areas: general manual, chemical control handbook, silviculture handbook, instruction manual for remote sensing workshops, and technical reports on budworm impact on spruce-fir stands. We present a list of factors that researchers and technology transfer specialists should consider when plan- ning a research and technology transfer program in forest pest management

    International Scientist Mobility and the Locus of Technology Transfer

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    University technology transfer has attracted considerable attention in the literature with a focus on the institutions, the agents involved in technology commercialisation or the differentiation between formal and informal technology transfer mechanisms. There has, however, been little systematic research on how the mobility of university scientists influences their propensity to engage in technology transfer activities and, particularly, on how mobility influences the locus of such activities. This paper therefore analyses the link between university scientists' technology transfer activities and their international mobility patterns. We characterise scientist mobility along the two dimensions frequency' and intensity' resulting in an individual mobility pattern. We argue that the mobility pattern as well as the scientist's personal characteristics affects the likelihood whether a transfer of technology occurs to a firm in the scientist's home and/or host country. Based on a sample of more than 500 German university scientists, our results indicate that a substantial share of scientists engages in technology transfer both to the home as well as to the host country. There are, however, considerable differences regarding the factors influencing the locus of technology transfer. --scientist mobility,university technology transfer,internationalisation

    Explaining differences in sub-national patterns of clean technology transfer to China and India

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    The Kyoto Protocol’s Clean Development Mechanism (CDM) has the capacity to incentivize the international transfer of environmentally sound technologies. Given that both countries are expected to have similar incentives when managing the distribution of technology transfer within the country, why do sub-national patterns in the allocation of projects with technology transfer differ? Using comparable political–economic data compiled for China and India, we offer an explanation for these differences. In China, where the government regards the CDM as a tool for achieving sustainable development, technology transfer is concentrated in provinces that need it the most and that are most conducive to receiving transfers (i.e., economically less developed, yet heavily industrialized provinces). In India, where the government takes on a “laissez-faire” approach to the CDM, neither level of economic development nor that of industrialization affects clean technology transfer. In this regard, although the incentives are similar, the capacity to pursue them is not comparable. We test these hypotheses using data on CDM technology transfer across Chinese provinces and Indian states during the 6-year period from 2004 to 2010

    Assessing the performance of technology transfer offices: An analysis of the relevance of TTO’s outcome configuration and aspiration performance

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    The paper investigates the technology-transfer productivity of Spanish public universities. The proposed approach allows the development of a framework that matches universities’ technology transfer concerns with the need to accurately analyze the role of the outcome configuration of technology transfer offices (TTOs). We analyze technology transfer productivity of Spanish universities during 2006-2011 by computing total factor productivity models rooted in non-parametric techniques, namely the Malmquist index. The results confirm that technology transfer productivity is affected by changes in the configuration of the TTO’s outcome portfolio that result from benchmarking own and market peers’ performance levels. While benchmarking own performance levels facilitates the exploitation of internal resources and yields superior productivity results, changes in TTO’s portfolio based on comparisons with market peers might generate greater operational costs that negatively impact productivity.Postprint (published version

    Formal and Informal Technology Transfer from Academia to Industry: Complementarity Effects and Innovation Performance

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    Literature has identified formal and informal channels in university technology transfer. While formal technology transfer typically involves a legal contract on a patent or on collaborative research activities, informal transfer channels refer to personal contacts and hence to the tacit dimension of knowledge transfer. Research is, however, scarce regarding the interaction of formal and informal transfer mechanisms. In this paper, we analyze whether these activities are mutually reinforcing, i.e. complementary. Our analysis is based on a comprehensive dataset of more than 2,000 German manufacturing firms. We perform direct and indirect tests for the complementarity of formal and informal technology transfer. Our results confirm a complementary relationship: using both transfer channels contributes to higher innovation performance. The management of the firm should therefore strive to maintain close informal relationships with universities to realize the full potential of formal technology transfer. --University technology transfer,complementarity,innovation performance
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