Relevant bibliographies by topics / Knowlege transfer

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Knowlege transfer'

Author: Grafiati
Published: 10 September 2022

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Journal articles on the topic "Knowlege transfer"

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Broadbent, P. J., D. C. Macdonald, G. Paterson, D. F. Dolman, and G. Wilson. "Detecting oestrus in maiden beef heifers using androgenised cows." Proceedings of the British Society of Animal Production (1972) 1988 (March 1988): 136. http://dx.doi.org/10.1017/s0308229600017724.

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The ability to detect oestrus in cattle is important where artificial insemination, superovulation or embryo transfer techniques are being used. Even where oestrus is synchronised or controlled, knowlege of the occurrence of oestrus can increase success rates and reduce costs. A testosterone treated female fitted with a chinball marker (Signoret, 1975; Kiser, Britt and Ritchie, 1977) has been shown to be a useful aid to detection of oestrus. A preliminary experience using such females in conjunction with maiden heifers supported these claims and a subsequent trial provided a more formal evaluation of the technique.
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Tichá, I., and J. Havlíček. "Knowledge transfer." Agricultural Economics (Zemědělská ekonomika) 53, No. 12 (January 7, 2008): 539–44. http://dx.doi.org/10.17221/1223-agricecon.

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The paper deals with the issue of knowledge transfer from several angles (context, benefits, and channels) in order to specify roles the universities should play in order to enhance the competitiveness of the EU economy. Knowledge transfer encompasses a wide variety of activities that range from appearances in the media and at public forums to participation in bilateral projects, the commercial development of research, the application of expertise through partnerships and internships, and the inclusion of broader community influences in the curriculum to enhance the capabilities of graduates. The broader context to facilitate knowledge transfer activities is assessed, suitable channels identified and some hints to select the appropriate channels provided. As the benefits of knowledge transfer go beyond the simple financial return, factors supporting effective deployment of knowledge transfer function at universities include not only financial incentives, but also a combination of measures ranging from training knowledge transfer personnel, setting appropriate metrics to assess the performance of knowledge transfer processes, quality assurance schemes as well as barriers-removing policies to enhance mobility of staff and free exchange of knowledge.
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Abbas, Asad, Anders Avdic, Kathryn Chang Barker, and Peng Xiaobao. "Knowledge Transfer from Universities to Industry Through University Technology Transfer Offices." Nauka ta innovacii 14, no. 2 (March 30, 2018): 5–18. http://dx.doi.org/10.15407/scin14.02.005.

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Abbas, Asad, Anders Avdic, Kathryn Chang Barker, and Peng Xiaobao. "Knowledge Transfer from Universities to Industry Through University Technology Transfer Offices." Science and innovation 14, no. 2 (May 11, 2018): 5–18. http://dx.doi.org/10.15407/scine14.02.005.

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Legg, Laurence, and Phil Holifield. "The UK Knowledge Transfer Partnership Programme." International Conference on Business & Technology Transfer 2004.2 (2005): 2–7. http://dx.doi.org/10.1299/jsmeicbtt.2004.2.0_2.

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KUMAR, KATTA ASHOK, and DR CH BALA NAGESWARA RAO. "Knowledge Transfer Management and its Multi Dimensions Strategies." Indian Journal of Applied Research 4, no. 4 (October 1, 2011): 1–3. http://dx.doi.org/10.15373/2249555x/apr2014/240.

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Dr. P. Srinivas Rao, Dr P. Srinivas Rao. "Managing the Transfer of Knowledge in the Current Organizations." Indian Journal of Applied Research 3, no. 4 (October 1, 2011): 312–14. http://dx.doi.org/10.15373/2249555x/apr2013/102.

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Suebsom, Korawan. "Measuring Knowledge Transfer through Facebook of Higher Education Classroom." International Journal of Information and Education Technology 5, no. 6 (2015): 437–41. http://dx.doi.org/10.7763/ijiet.2015.v5.545.

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Søberg, Peder Veng, and Brian Vejrum Wæhrens. "Subsidiary autonomy and knowledge transfer." Journal of Global Operations and Strategic Sourcing 13, no. 2 (November 17, 2019): 149–69. http://dx.doi.org/10.1108/jgoss-04-2018-0016.

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Purpose This paper aims to explore the effect of subsidiary autonomy on knowledge transfers during captive offshoring to emerging markets. Design/methodology/approach Five longitudinal cases of captive R&D and manufacturing offshoring to emerging markets. Findings The propositions entail the dual effect of operational subsidiary autonomy on primary knowledge transfer and reverse knowledge transfer. For newly established subsidiaries, operational subsidiary autonomy has a mainly negative effect on primary knowledge transfer and a mainly positive effect on reverse knowledge transfer and local collaboration activities increase this effect. Strategic subsidiary autonomy is mainly negative for primary and reverse knowledge transfer. Research limitations/implications Limitations concerning the applied exploratory case study approach suggest that further research should test the identified relationships using surveys, after the initial pilot study. Practical implications A gradual increase of operational subsidiary autonomy as the subsidiary capability level increases is beneficial to ensure primary knowledge transfer. Allowing subsidiaries to collaborate locally within the confines of their mandates benefits reverse knowledge transfer. Originality/value This paper extends the secondary knowledge transfer concept to include knowledge flows with local collaboration partners, not only other subsidiaries and clarifies the distinction between operational and strategic autonomy concerning local collaboration. A subsidiary asserts operational autonomy when its collaboration with local partners relates to its existing mandate. A subsidiary asserts strategic autonomy when it collaborates with local partners beyond this mandate.
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Spring, Martin. "Knowledge management in extended operations networks." Journal of Knowledge Management 7, no. 4 (October 1, 2003): 29–37. http://dx.doi.org/10.1108/13673270310492921.

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It is argued that existing literature on knowledge management fails to combine inter‐and intra‐organizational knowledge transfers and also neglects the role of spatial proximity in face‐to‐face transfers of tacit knowledge. A model is developed that captures these variables in a dyadic transfer situation, and short cases illustrate aspects of the model. Suggestions are made on how the dyadic model may be developed to apply to interactions in networks of more than two actors.
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Dissertations / Theses on the topic "Knowlege transfer"

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Chowdhury, Imran. "Scaling in social entrepreneurship : partnerships, knowledge transfer, and business models." Thesis, Cergy-Pontoise, Ecole supérieure des sciences économiques et commerciales, 2012. http://www.theses.fr/2012ESEC0002/document.

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L‟étude présentée ici tente d‟ouvrir une voie intermédiaire en s‟attachant au processus de transfert d‟innovation entre entrepreneurs sociaux. Nous appuyant sur la littérature sur la stratégie de transfert d‟innovation, qui cherche à développer une perspective globale des stratégies variées utilisées par les entreprises pour transférer des innovations efficacement, nous étudions ce processus de transfert dans un contexte d‟entrepreneuriat social, où l‟équilibre entre objectifs d‟efficience et objectifs sociaux plus larges est explicitement plus grand (Pache et Santos, 2010). Nous mettons ainsi en lumière le fait que certains organismes qui apparaissent et opèrent dans des contextes d‟échec simultané des marchés et des gouvernements axent leurs activités sur la création de valeur. S‟il est vrai que le transfert d‟innovation a le potentiel d‟ajouter de la valeur à toutes les entreprises, les divergences dans les objectifs organisationnels et les identités de celles-ci peuvent aboutir à des processus de transfert très différents, au fur et à mesure que l‟on passe de l‟entrepreneuriat commercial traditionnel à l‟entrepreneuriat social. Les travaux de recherche récents sur l‟entrepreneuriat social se sont centrés sur le besoin qu‟ont ces entrepreneurs d‟augmenter leur impact social en développant d‟avantage leurs opérations réussies (Bloom et Chatterji, 2009), mais le processus de transfert d‟innovations comme stratégie pour augmenter cet impact est mal connu. D‟autre part, la recherche sur le transfert d‟innovation ne s‟est quasiment pas penchée sur cette question, parce- qu‟elle n‟a pas envisagé comment des entrepreneurs qui veulent créer, et non capter, de la valeur s‟engagent dans le processus de transfert. L‟objectif de ce travail est d‟étudier comment les entrepreneurs sociaux gèrent le transfert d‟innovations et s‟organisent pour augmenter l‟impact de leurs innovations. Le sujet ne se limite donc pas aux mécanismes et aux résultats d‟un transfert, comme dans les études précédentes. Les questions posées ici ont pour but de comprendre comment les motivations des entrepreneurs sociaux, que l‟on considère comme différentes de celles des entrepreneurs plus traditionnels, influencent la façon dont se déroule le transfert d‟innovation. Pour ce faire, nous procédons d‟abord au réexamen des objectifs, du contexte, et du périmètre du transfert d‟innovations dans le cas d‟entreprises sociales
The purpose of this dissertation is to deepen the study of social entrepreneurship by examining how social entrepreneurs use partnerships and organize themselves to transfer knowledge. My research takes a first step towards building a theory of innovation transfer and scaling for social entrepreneurship. This study builds on three primary foundations. One is the literature on innovation transfer strategy, which seeks to develop a broad view of the various strategies used by firms to transfer innovations effectively. The second is the literature on social entrepreneurship, which highlights the value-creation focus of certain firms that emerge and operate where situations of simultaneous market and government failure exist. Third, I use the literature on institutions, in particular institutional logics, to explain how organizational processes impacted by multiple logics unfold. Using an inductive, multiple-case methodology, I illuminate the innovation transfer process as it relates to social entrepreneurs. My objective is threefold. First, I aim to understand how social entrepreneurs manage the innovation transfer process. Second, I wan to identify the crucial factors influencing innovation transfer between social entrepreneurs, distinguish these factors from those observed in more traditional settings, and examine their impact on the direction of the innovation transfer process. Third, and finally, I hope to offer possible alternative views to the discussion on “scaling” in the social sector, a debate which has, to date, focused on “scaling organizations” as the primary means to expand the scope and reach of innovations developed by social entrepreneurs
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Niu, Bingyu, and Sisi Yan. "Knowledge transfer in project-based environments : The barriers of knowledge transfer." Thesis, Linköpings universitet, Företagsekonomi, 2012. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-78792.

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Background: Nowadays, projects become the common way of working in manycompanies. Knowledge management is important for efficient project management.Knowledge transfer in project-based environments became an attractive and importanttopic for study. Various barriers and challenges will appear during the process ofknowledge transfer in projects. Lots of authors thought the barriers of knowledgetransfer in project are negative, while others mentioned that some barriers may havepositive aspects. We called these two kinds of barriers “positive barriers” and“negative barriers” in this thesis. Purpose: The purpose of this thesis is to understand knowledge transfer inproject-based environments. Specifically, we aim to explain that barriers ofknowledge transfer in projects can be both negative and positive. Method: Due to the special time period and activity limitation, we chose case studyto gain the empirical data. When choosing the sample, we used the conveniencesampling. The sample chosen is a project team in Ericsson of Linköping. The projectmanager we interviewed has worked in Ericsson since 2004 and with his presentproject team for four years. He has already done more than fifteen projects, so he hasenough experience in projects for our study. We combined both inductive anddeductive approach strategies to analyze our thesis. Result: This thesis has answered the questions in the part of specified questions andreached the thesis purpose. It has explained the notion of knowledge transfer inprojects and its related barriers. It interprets how both negative and positive barriersaffect knowledge transfer. Furthermore, this thesis points out some suggestions forimproving positive barriers and reducing negative barriers.
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Høisæter, Anne-Lise Anastasiadou. "Knowledge Transfer Between Projects." Thesis, Norwegian University of Science and Technology, Department of Computer and Information Science, 2008. http://urn.kb.se/resolve?urn=urn:nbn:no:ntnu:diva-9701.

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The practice of knowledge management in organizations is an issue that has recieved increasing attention during the last 20 years. This focus on knowledge management has also reached the public sector in Norway. Since 2001 the Directorate of Taxes has shown an interest in adopting methods and technologies to improve management of knowledge especially through the use of technology. This thesis aims to evaluate the current transfer of knowledge between projects in the Directorate of Taxes’ IT and service partner. The thesis also suggests and evaluates an approach for knowledge transfer based on two tools, the post mortem analysis and the wiki. I wish to show how this approach, based on one technical tool and one non-technical, covers all stages of the knowledge transfer process and helps the organization create and retain their knowledge. To examine the current situation of knowledge transfer in the Directorate of Taxes and to evaluate the suggested approach for knowledge transfer data was collected in six different stages. In spring 2007 I observed a meeting of project managers which provided me with information on how knowledge transfer is done on the managerial level. Documents that are used in project work were studied throughout the fall of 2007 to learn more about what project work consists of and what routines they have around the work. In late fall 2007 I conducted 8 interviews with employees at the Directorate of Taxes. I enquired about the use of the documents and meetings, and about other routines and practices concerning knowledge transfer. I also asked the employees about what they expected and desired from a potential new approach of knowledge transfer and what they thought of using the two tools that constitute my approach. In spring 2008 I observed the execution of a post mortem analysis and interviewed the participants afterwards. This gave me new insight as to how the tool works and how the employees of the organization respond to it. I studied documents containing previous research done on organizational learning at the Directorate of Taxes, and gained insight on the organization from the perspective of others. I also used the findings from this research to evaluate the suitability of the two tools. I learnt that the project members at the Directorate of Taxes chiefly transfer knowledge directly through people by a so called open-door-policy, where people are encouraged to seek and give help when they need it, face-to-face. There are some problems with this method including that it can be hard to find the right people and it is open for constant interruptions. At the managerial level sporadic meetings are conducted where knowledge is transferred, but problems with this method include that they are low in attendance and that the knowledge shared is not optimal. The third attempt of knowledge transfer reported is the use documents and templates. The Directorate of Taxes spends time and resources trying to transfer knowledge through the documents, but there are no routines around their use. The two interview sessions and the execution of the post mortem analysis show promising results for the suggested approach. The interviewees and participants of the post mortem analysis were very positive to the adoption of the method. There are however some employees who are skeptical to the suitability of the post mortem analysis and to using an electronic system for knowledge transfer. The organization has to make sure that it has its employees on board when taking these methods into use if they are to be successful.

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Murphy, Maureen T. "Knowledge-based technology transfer." Thesis, University of Ulster, 1993. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.386271.

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Gill, S. P. "Tacit knowledge and dialogue for knowledge transfer." Thesis, University of Cambridge, 1995. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.599421.

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This dissertation investigates the limitations to representing knowledge. It is concerned with the process of the formation and transfer of knowledge in design. It focuses on the component termed 'knowledge engineering'. This is an essential part of the process of designing knowledge-based systems. In this work, knowledge engineering is defined as: the process of selecting relevant information for a system and considering how that information is made available to the system as well as to the user. Traditional knowledge engineering supposes that all knowledge can be represented in a propositional form. This rests on the idea that knowledge is universal, non-contextual, time-independent, and depersonalised. It is argued in this dissertation that this idea can be traced back to Plato's discussion of reason over emotions, and survives in the current computer metaphor within which the mind-body distinction has become a discipline called 'cognitive science'. The research explores the limitations of this idea by exploring thoroughly the nature of context dependency and experience within the process of knowledge transfer. The work expands upon the premise that knowledge exists in praxis/experience and has a personal and social dimension. It draws upon a framework of various 'human-centred' European traditions of both design and application studies on computer-based applications. This research provides a framework for the analysis of knowledge transfer in dialogue within design, and thereby for the analysis of processes which make up design. Concepts and design decisions are forms of knowledge formation and involve knowledge transfer. The framework identifies factors determining the situational meaning of a concept, and thereby a design decision.
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Gill, Satinder P. "Dialogue and tacit knowledge for knowledge transfer." Thesis, University of Cambridge, 1994. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.360777.

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Thomas, Teresa, and Cédric Prétat. "The process of knowledge transfer." Thesis, University of Kalmar, Baltic Business School, 2009. http://urn.kb.se/resolve?urn=urn:nbn:se:hik:diva-1807.

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There is a common agreement in literature that a company can create a sustainable competitive advantage by mastering knowledge and knowledge transfer. This requires to forward knowledge to other units at the correct time and in the right way.

The purpose of this research study is to explain in the first step general theoretical considerations related to the concept of knowledge, knowledge management as well as knowledge transfer. In a second step these concepts are illustrated with the help of four points of impact.

Some important aspects are discussed. First, the individual in the process of knowledge transfer is regarded: its behaviors, its interactions with its professional environment. Second, key tools are extended and finally the factors which influenced the process are presented.

Out of this a model is developed in an approach divided into three parts: the individual, social/collective and company perspective. This model also includes a process of knowledge transfer, the knowledge sharing achievement through a description of the main tools and actions which create a dynamic between the actors. In the last part we focus on a technical solution which can help companies to implement a knowledge transfer dynamic.

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Shehzad, Murtaza, and Mathilde Jaouen. "Networking for Knowledge Transfer : A concept on STPs’ international process for successful knowledge transfer." Thesis, Umeå universitet, Företagsekonomi, 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-124854.

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Recognizing the importance of innovation, we see that entrepreneurship and its supporting ecosystem contributes to increased prosperity in society. We also understand that the entrepreneurial phenomenon increases in efficiency through internationalization. Within the international context, knowledge transfer can be complex and requires people of multicultural background for successful interpretation. Demanding abilities to code and decode the transferred knowledge and integrate it into practices, interactions and learning for successfully creating new knowledge as a result. Our purpose for this research was to emphasize and give clarity of the process from initiatives to internationalization to successfully transferring knowledge. Being master students in an entrepreneurial program and working with related projects in our worklife, we were accustomed to- and possessed necessary background information for the topic. This gave us abilities to contact and form interviews for various science and technology parks (STP). We were motivated to collect data through a qualitative study, interviewing STPs with practical insight measuring selected theories presented in our literature review. Our findings correlate the selected theories, and give impressions that networking platforms provided by government, universities and international organizations contribute significantly in connecting STPs to international players. We also record that the government’s position is crucial in providing infrastructure and financial support to STPs. Further the challenge of knowledge transfer is positively related to complementary interest and trust, which is better resolved through awareness of multicultural networks. Further research can be recommended to investigate the objectives of institutions in an entrepreneurial ecosystem, between and in relation to the tenants. For direct understanding of international activities, we would also like to propose a research measuring science and technology parks’ engagement for internationalization and the financial results of tenants within the same time period.
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Grassler, Andreas, and Roman Glinnikov. "Knowledge Transfer in Science Parks." Thesis, University of Kalmar, Baltic Business School, 2008. http://urn.kb.se/resolve?urn=urn:nbn:se:hik:diva-353.

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The contemporary information society demands efficient knowledge management and therefore, the transfer of knowledge becomes an important issue. The purpose of this research is to contribute to the understanding of how the knowledge transfer in Science Parks takes place and which knowledge transfer supporting conditions are offered within the Science Park environment.

Through the conduction of several in depth interviews with the management of Science Parks as well as the representatives of their tenant companies it can be concluded that Science Parks seem to offer favourable conditions for knowledge transfer. This is facilitated by the established structural arrangements as well as the supporting activities of the Science Parks‟ management.

An important assumption is made within the scope of this study that certain favourable conditions may as well be relevant for off Science Park firms and thus, presumably making the present study interesting and valuable for a larger audience.

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Venters, Cassy Dierking. "Faciltating knowledge transfer in organizations /." free to MU campus, to others for purchase, 2004. http://wwwlib.umi.com/cr/mo/fullcit?p3137760.

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Books on the topic "Knowlege transfer"

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Knowledge Transfer (Conference) (1996 School of Pharmacy, University of London). Knowledge transfer. London: Pace, 1996.

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service), SpringerLink (Online, ed. Innovation through Knowledge Transfer. Berlin, Heidelberg: Springer-Verlag Berlin Heidelberg, 2010.

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Howlett, Robert James, ed. Innovation through Knowledge Transfer. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-14594-0.

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Knowledge Transfer (Conference) (2nd 1997 University of London). Knowledge Transfer (volume II). London: Pace, 1997.

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Murphy, Maureen T. Knowledge-based technology transfer. [s.l: The Author], 1993.

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service), SpringerLink (Online, ed. Innovation through Knowledge Transfer 2010. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011.

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English, Michael J. Winning the knowledge transfer race. New York: McGraw-Hill, 2006.

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Inzelt, Annamária. Knowledge, Technology Transfer and Foresight. Dordrecht: Springer Netherlands, 1996.

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Håkanson, Lars, ed. Knowledge Transfer in Multinational Corporations. Wiesbaden: Gabler Verlag, 2005. http://dx.doi.org/10.1007/978-3-322-91003-5.

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Howlett, Robert J., ed. Innovation through Knowledge Transfer 2010. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-20508-8.

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Book chapters on the topic "Knowlege transfer"

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Lyman, Frank T. "Students as Knowledge Makers." In 100 Teaching Ideas that Transfer and Transform Learning, 12–13. New York: Routledge, 2021. http://dx.doi.org/10.4324/9781003230281-9.

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Psyllou, Elena. "Knowledge Transfer." In Asset Analytics, 183–94. Singapore: Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-32-9323-6_11.

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Küchler, Uwe. "Knowledge Transfer." In The Bonn Handbook of Globality, 409–17. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-319-90377-4_34.

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Svensson, Roger. "Knowledge Transfer." In Economics of Science, Technology and Innovation, 63–75. Boston, MA: Springer US, 2000. http://dx.doi.org/10.1007/978-1-4615-4385-5_5.

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Spiekman, Maroesjka, and Marco Conrad Harmsen. "Basic Knowledge." In Autologous fat tissue transfer, 5–10. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-05402-1_3.

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Lee, Ming-Chang. "Knowledge-Based New Product Development through Knowledge Transfer and Knowledge Innovation." In Innovation through Knowledge Transfer, 303–20. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-14594-0_31.

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Klückmann, Matthias. "Knowledge Production/Transfer." In Situational Diversity, 77–100. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-54791-2_3.

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Ambos, Tina C. "Reverse Knowledge Transfer." In The Palgrave Encyclopedia of Strategic Management, 1–3. London: Palgrave Macmillan UK, 2016. http://dx.doi.org/10.1057/978-1-349-94848-2_325-1.

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Wu, Yan, and Yong Yang. "International Knowledge Transfer." In The Routledge Companion to the Geography of International Business, 332–44. First Edition. | New York : Routledge, 2018. | Series: Routledge companions in business, management & accounting: Routledge, 2018. http://dx.doi.org/10.4324/9781315667379-19.

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Ambos, Tina C. "Reverse Knowledge Transfer." In The Palgrave Encyclopedia of Strategic Management, 1475–77. London: Palgrave Macmillan UK, 2018. http://dx.doi.org/10.1057/978-1-137-00772-8_325.

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Conference papers on the topic "Knowlege transfer"

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Silin, Fouad Nawras. "Knowledge Transfer." In Abu Dhabi International Petroleum Conference and Exhibition. Society of Petroleum Engineers, 2012. http://dx.doi.org/10.2118/161658-ms.

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Liu, Tongliang, Qiang Yang, and Dacheng Tao. "Understanding How Feature Structure Transfers in Transfer Learning." In Twenty-Sixth International Joint Conference on Artificial Intelligence. California: International Joint Conferences on Artificial Intelligence Organization, 2017. http://dx.doi.org/10.24963/ijcai.2017/329.

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Transfer learning transfers knowledge across domains to improve the learning performance. Since feature structures generally represent the common knowledge across different domains, they can be transferred successfully even though the labeling functions across domains differ arbitrarily. However, theoretical justification for this success has remained elusive. In this paper, motivated by self-taught learning, we regard a set of bases as a feature structure of a domain if the bases can (approximately) reconstruct any observation in this domain. We propose a general analysis scheme to theoretically justify that if the source and target domains share similar feature structures, the source domain feature structure is transferable to the target domain, regardless of the change of the labeling functions across domains. The transferred structure is interpreted to function as a regularization matrix which benefits the learning process of the target domain task. We prove that such transfer enables the corresponding learning algorithms to be uniformly stable. Specifically, we illustrate the existence of feature structure transfer in two well-known transfer learning settings: domain adaptation and learning to learn.
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Chin, Si-Chi. "Enhancing knowledge base with knowledge transfer." In the 35th international ACM SIGIR conference. New York, New York, USA: ACM Press, 2012. http://dx.doi.org/10.1145/2348283.2348419.

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Wei, Ying, Yu Zheng, and Qiang Yang. "Transfer Knowledge between Cities." In KDD '16: The 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. New York, NY, USA: ACM, 2016. http://dx.doi.org/10.1145/2939672.2939830.

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Stoyanov, Tinko. "KNOWLEDGE TRANSFER DIGITAL TRANSFORMATION." In International Conference on Education and New Learning Technologies. IATED, 2017. http://dx.doi.org/10.21125/edulearn.2017.0666.

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Both, Fabian, Steffen Thoma, and Achim Rettinger. "Cross-modal Knowledge Transfer." In K-CAP 2017: Knowledge Capture Conference. New York, NY, USA: ACM, 2017. http://dx.doi.org/10.1145/3148011.3148026.

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Li, Hanyu, Guixia Kang, and Ningbo Zhang. "Knowledge Transfer across Diseases." In ICMAI 2021: 2021 6th International Conference on Mathematics and Artificial Intelligence. New York, NY, USA: ACM, 2021. http://dx.doi.org/10.1145/3460569.3460581.

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Dan, Zhang, Bao Zhenqiang, Gao Kaizhou, and Guo Lei. "Study on the Efficiency of Knowledge Transfer Based on Knowledge Transfer Scenario." In 2008 International Conference on Computer Science and Software Engineering. IEEE, 2008. http://dx.doi.org/10.1109/csse.2008.199.

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Chen, Xuelu, Muhao Chen, Changjun Fan, Ankith Uppunda, Yizhou Sun, and Carlo Zaniolo. "Multilingual Knowledge Graph Completion via Ensemble Knowledge Transfer." In Findings of the Association for Computational Linguistics: EMNLP 2020. Stroudsburg, PA, USA: Association for Computational Linguistics, 2020. http://dx.doi.org/10.18653/v1/2020.findings-emnlp.290.

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Wang, Guangzhi. "Dynamic Knowledge Distillation with Cross-Modality Knowledge Transfer." In MM '21: ACM Multimedia Conference. New York, NY, USA: ACM, 2021. http://dx.doi.org/10.1145/3474085.3481034.

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Reports on the topic "Knowlege transfer"

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Turner, Andie Louise, and Evelena Ornelas Valencia. Challenges in the Employee Knowledge Transfer Lifecycle: A Knowledge Management Perspective. Office of Scientific and Technical Information (OSTI), June 2019. http://dx.doi.org/10.2172/1524357.

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Pham, Duy T. Knowledge Gap and Transfer Issues in Financial Management. Fort Belvoir, VA: Defense Technical Information Center, February 2009. http://dx.doi.org/10.21236/ada517811.

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Guillouet, Louise, Amit Khandelwal, Rocco Macchiavello, and Matthieu Teachout. Language Barriers in Multinationals and Knowledge Transfers. Cambridge, MA: National Bureau of Economic Research, May 2021. http://dx.doi.org/10.3386/w28807.

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Aleixo, Ana Marta, Susana Leal, Margarida Mano, and Ulisses Azeiteiro. The bond between Higher Education Institutions and society: A scoping review protocol about knowledge transfer and valorisation to promote sustainable development. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, August 2022. http://dx.doi.org/10.37766/inplasy2022.8.0072.

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Review question / Objective: The research question of the present paper is: How have Higher education’s institutions operationalised the transfer of knowledge to society in terms of research, development, and innovation (R&D&I), what are the determinants of this process, and how the HEI knowledge transfer to society contributes for the sustainability and UN SDG? To answer this research question, the following goals were outlined: (a) understand which determinants influence the HEIs knowledge transfer to society, (b) perceive how HEIs knowledge transfer for society could be operationalized in an effective way; and, (c) perceive how HEIs knowledge transfer for society support the implementation of sustainability and the UN SDGs.
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Tran, Thien. Strategic Evaluation of University Knowledge and Technology Transfer Effectiveness. Portland State University Library, January 2000. http://dx.doi.org/10.15760/etd.1059.

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Winkler-Portmann, Simon J. Knowledge transfer supporting sustainable development: implications for regional intermediaries. Sonderforschungsgruppe Institutionenanalyse, November 2021. http://dx.doi.org/10.46850/sofia.9783941627970.

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The wicked sustainability challenges of current socio-technical systems, crossing the planetary boundaries vital for human life, call for fundamental and radical change in the form of transitions. These sustainability transitions require a knowledge basis of relevant actors in the system, which intermediary structures organizing knowledge transfer can support. Over the last decades, sustainability researchers have not only increasingly studied the dynamics of transitions (Rip and Kemp 1998; Geels 2002; Papachristos et al. 2013), but have also gained insights on activities contributing to the acceleration of transitions and the sup-portive role of intermediaries in that regard (Wieczorek and Hekkert 2012; Kanda et al. 2018; Kivimaa et al. 2019). This paper revisits the literature on the dynamics of transitions, the activities of intermediaries in contributing in order to formulate implications of the characteristics of sustainable development and sustainability transitions and the related knowledge types for the organization of knowledge transfer by regional intermediaries.
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Bracewell, Thomas. Empirical Knowledge Transfer and Collaboration with Self-Regenerative Systems. Fort Belvoir, VA: Defense Technical Information Center, June 2007. http://dx.doi.org/10.21236/ada470099.

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McNeese, Michael D. Putting Knowledge to Use: The Acquisition and Transfer of Knowledge in Situated Problem Solving Environments. Fort Belvoir, VA: Defense Technical Information Center, January 1993. http://dx.doi.org/10.21236/ada269746.

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Catherine Eng, Catherine Eng. Kumeyaay landscapes, knowledge transfer, and land stewardship in San Diego. Experiment, December 2021. http://dx.doi.org/10.18258/23350.

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Lund, John W., and Tonya "Toni" Boyd. Technical Support and Transfer of Geothrmal Technical Knowledge and Information. Office of Scientific and Technical Information (OSTI), November 2007. http://dx.doi.org/10.2172/919533.

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