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Добірка наукової літератури з теми "Knowledge"

Автор: Grafiati

Опубліковано: 4 червня 2021

Оновлено: 26 жовтня 2024

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Статті в журналах з теми "Knowledge"

1

Tiwari, Veena, and Praveen Pandit. "Knowledge, Knowledge Society and National Knowledge Network." Indian Journal of Applied Research 3, no. 8 (October 1, 2011): 359–60. http://dx.doi.org/10.15373/2249555x/aug2013/114.

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2

STAPLEFORD, SCOTT. "Locke on Sensitive Knowledge as Knowledge1." Theoria 75, no. 3 (September 2009): 206–31. http://dx.doi.org/10.1111/j.1755-2567.2009.01040.x.

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3

Sukardi, Sukardi. "Knowledge Discovery Maintaining Intra Industrial Knowledge Flow." International Journal of Psychosocial Rehabilitation 24, no. 1 (January 20, 2020): 1230–40. http://dx.doi.org/10.37200/ijpr/v24i1/pr200223.

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4

Beck, John. "Powerful knowledge, esoteric knowledge, curriculum knowledge." Cambridge Journal of Education 43, no. 2 (June 2013): 177–93. http://dx.doi.org/10.1080/0305764x.2013.767880.

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5

Richard B. Freeman. "Knowledge, Knowledge… Knowledge for My Economy." KDI Journal of Economic Policy 37, no. 2 (May 2015): 1–21. http://dx.doi.org/10.23895/kdijep.2015.37.2.1.

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6

Borges. "KNOWLEDGE FROM KNOWLEDGE." American Philosophical Quarterly 57, no. 3 (2020): 283. http://dx.doi.org/10.2307/48574439.

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7

Blackmer, Bruce E. "Knowledge on Knowledge." Journal of Interior Design 31, no. 1 (September 2005): vii—xii. http://dx.doi.org/10.1111/j.1939-1668.2006.tb00411.x.

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8

Dobrovolska, Olena, Ralph Sonntag, Susan Buschendorf, Elena Klimova, and Wolfgang Ortmanns. "Knowledge creation, knowledge impact and knowledge diffusion: how do they connect with higher education?" Knowledge and Performance Management 7, no. 1 (October 31, 2023): 91–103. http://dx.doi.org/10.21511/kpm.07(1).2023.07.

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Анотація:

Knowledge-based economy causes changes in the higher education system: university graduates must have the ability to constantly learn and improve their skills, generate and disseminate new knowledge, form and multiply the knowledge capital of business. This paper aims to investigate a pairwise interconnection between higher education indicators and sets of parameters characterizing knowledge creation, impact, and diffusion. The following higher education indicators are used: expenditure on education, tertiary enrollment, graduates in science and engineering, tertiary inbound mobility, researcher, gross expenditure on R&amp;D, top 3 global corporate R&amp;D investors, top 3QS university ranking. Knowledge creation indicators are patents by origin, PCT patents by origin, utility models by origin, scientific and technical articles, citable documents, H-index. Knowledge impact is characterized through labor productivity growth, new businesses, software spending, ISO 9001 quality certificates, high-tech manufacturing. Knowledge diffusion parameters include intellectual property receipts, production and export complexity, high-tech exports, ICT services exports. The information base of the study is the data of the Global Innovation Index Report from the World Intellectual Property Organization for 40 European countries (selected depending on the availability of statistics) for 2022, research method – Canonical Correlation Analysis. The strongest positive correlation was found between higher education indicators and knowledge creation parameters. The second position takes connection between higher education indicators and knowledge diffusion parameters, the third – between higher education indicators and knowledge impact indicators. Among the higher education indicators, the most significant were gross expenditure on R&amp;D, top 3 global corporate R&amp;D investors, top 3 QS university ranking.

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9

Kaspar, David. "Moral Knowledge Without Knowledge of Moral Knowledge." Journal of Ethics 26, no. 1 (November 7, 2021): 155–72. http://dx.doi.org/10.1007/s10892-021-09384-0.

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Ottinger, Gwen. "Changing Knowledge, Local Knowledge, and Knowledge Gaps." Science, Technology, & Human Values 38, no. 2 (January 2, 2013): 250–70. http://dx.doi.org/10.1177/0162243912469669.

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Дисертації з теми "Knowledge"

1

Chan, Ngai-man, and 陳艾敏. "An examination of the interplay of knowledge types, knowledge workers and knowledge creation in knowledge management." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2004. http://hub.hku.hk/bib/B31245158.

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2

Andersson, Kent. "Knowledge Technology Applications for Knowledge Management." Doctoral thesis, Uppsala : Institutionen för informationsvetenskap, Univ. [distributör], 2000. http://w3.ub.uu.se/fulltext/91-506-1437-1.pdf.

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3

Zamuner, Edoardo. "Knowledge and self-knowledge of emotions." Thesis, University of Edinburgh, 2008. http://hdl.handle.net/1842/2679.

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Анотація:

This thesis addresses two questions. One concerns the metaphysics of emotions and asks what kinds of mental states emotions are. The other asks how the metaphysics of emotions bears on first and third-personal knowledge of emotions. There are two prevailing views on the nature of emotions. They are the perception and cognitive views. The perception view argues that emotions are bodily feelings. The cognitive view, by contrast, contends that emotions are some sorts of evaluative judgments. I show that both views provide inadequate accounts of the nature of emotions. The perception view fails to do justice to the fact that emotions may not involve any bodily feeling. The cognitive view, by contrast, cannot account for the fact that emotions are states that adult humans have in common with infants and animals. On the basis of these criticisms, I put forward an alternative account of emotions. This involves five main arguments. The first is that emotions are enduring non-episodic dispositions that may or may not manifest themselves in experiential episodes such as emotional feelings and behaviour episodes such as expressions. The second argument is that emotional feelings are perceptions of specific bodily changes brought about by emotions. These feelings serve as clues as to what kinds of emotions the subject has. The third argument is that expressions are observable manifestations of emotions in virtue of which emotions can be perceived and subsequently known, directly and non-inferentially, by other people. The fourth argument is that when someone has an emotion without feeling it, she can still come to know it by believing true ascriptions that other people make about the emotion they perceive in her expression. The fifth argument is that full knowledge of emotions requires knowledge of the emotion objects.

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4

McBride, Mark. "Immediate knowledge and conditions on knowledge." Thesis, University of Oxford, 2013. http://ora.ox.ac.uk/objects/uuid:bcb5f460-b8b5-4fcd-a857-9f8e2e730647.

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Анотація:

This thesis explores two sets of issues in contemporary epistemology. The first part explores issues surrounding the category of basic knowledge (or justification) – that is, at a first-pass, knowledge (or justification) which is immediate, in the sense that one’s justification for the known proposition doesn’t rest on any justification for believing other propositions. The second part investigates issues surrounding knowledge-closure and various conditions – namely, conclusive reasons, sensitivity, and safety – which some philosophers have claimed are necessary for knowledge. Each part of the thesis is substantial (there are five chapters in the first part and four in the second), and the two sets of issues – while evidently of independent interest – are interrelated in several ways. In broad outline, part one of the thesis concludes that, even if (in the worst case) the first-pass category of basic knowledge delineated above is not ultimately tenable (on account of credible arguments against it considered in chapter 5), there is a distinct category of knowledge, aptly called ‘basic’, which is, plausibly, tenable. Part two of the thesis, meanwhile, begins by attempting to render the conclusive reasons and sensitivity conditions – conditions the adoption of which involves rejection of knowledge-closure – in as plausible a form as possible. And a rejection of knowledge-closure has implications for the viability of the first-pass category of basic knowledge delineated above, in particular. Part two closes by exploring the safety condition: a start is made at defending a novel safety condition; and a possible application of the safety condition to the legal domain is considered. The Conclusion, which includes a prospectus for further work, ties the safety condition on knowledge (chapters 8 and 9) back to the notion of failure of transmission of epistemic warrant (an absolutely central notion in part one).

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5

Lindner, Eli. "A framework for an innovative knowledge management system in knowlegde-based firms." Thesis, Queensland University of Technology, 2014. https://eprints.qut.edu.au/71391/1/Eli_Lindner_Thesis.pdf.

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Анотація:

This study examined how a knowledge management system can bring innovative behaviour to a knowledge based firm. The study developed a framework for such a system by investigating what components should comprise the system and how they should interact. The outcome of the study is a recommended framework of components, tools & methods to effectively implement a knowledge management system.

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6

Lai, Han. "Reconceptualising knowledge seeking in knowledge management : towards a knowledge seeking process model." Thesis, Northumbria University, 2012. http://nrl.northumbria.ac.uk/7710/.

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Анотація:

Promoting knowledge sharing has long been regarded as a very important aspect of the management of knowledge. However, knowledge sharing has its challenges due to the special nature of knowledge. Based on this, the researcher argues that it is knowledge seeking rather than knowledge sharing that plays a crucial role in knowledge management. However, there is no clear definition for knowledge seeking in existing literature. In the few studies of knowledge seeking research, knowledge has been viewed as a noun and as such knowledge seeking has been seen as no different to information seeking. The aim of this research has been to explore the knowledge seeking process in the workplace in order to conceptualise knowledge seeking by developing a theoretical model. A review of the literature concerning knowledge seeking has been conducted in order to clarify the concept of knowledge seeking. From the interpretivist’s perspective, a qualitative research approach has been taken, in which sense-making theory is employed as a methodological guide. Time-line interviews were carried out with construction engineers in China to collect primary data, and Template analysis was utilized. Based on the literature, this thesis defined knowledge seeking as a learning process, which consists of three major themes: experiential learning, information seeking and problem solving, based on which a preliminary framework was developed. Twenty six engineers were successfully interviewed. The findings from the data confirmed the links between the themes. Further codes were also identified to develop a final template, which evolved to a theoretical model illustrating the knowledge seeking process in the workplace. By promoting knowledge seeking rather than knowledge sharing, this research contributed innovatory insight into existing KM research. The new concept of knowledge seeking and the theoretical model developed thereafter contribute to knowledge by providing a theoretical framework for further research in this area. The specific combination of time-line interviews and template analysis has demonstrated good results in this research. Collecting primary data from China, this research applied Western theories onto engineers within a Chinese context, which has contributed to KM research in China. These contributions will result in many practical implications for KM practices.

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7

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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Анотація:

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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8

Robertson, Maxine Jane. "Sustaining knowledge creation within knowledge intensive firms." Thesis, University of Warwick, 1999. http://wrap.warwick.ac.uk/36333/.

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Анотація:

This thesis is concerned with understanding the way in which knowledge creation was sustained over time within a particular type of knowledge intensive firm referred to as an expert consultancy. Expert consultancies are differentiated from generalist management consultancies in terms of their knowledge intensity i.e. the high levels of expertise of the workforce and their focus on the development of highly customised creative and innovative solutions rather than on the diffusion and implementation of pre-packaged 'best practice' solutions. Two longitudinal case studies were conducted in expert consultancies and a critical interpretative approach, characteristic of the constructivist paradigm was adopted for their analysis. Processes of knowledge creation are intrinsically complex and unpredictable. The leaders of such finns then are perpetually seeking ways to manage the fundamental tensions that exist between autonomy and control and efficiency and uncertainty. A retrospective historical analysis was developed of the way in which knowledge creation occurred and the organisational conditions that served to shape the process over time within both firms. The organisational conditions that were considered included not only structural aspects of the firm but also cultural and social conditions. Any changes that had occurred over time with regard to the way in which knowledge creation occurred were considered in relation to the organisational conditions that may have stimulated such changes in order to develop this analysis. The research found that a number of distinctive structural conditions contributed to sustaining processes of knowledge creation over time, including profit satisficing behaviour, an absence of professional management, and a resource rich environment. Critically, a strong yet ambiguous culture was found to be important for sustaining processes of knowledge creation. Organisational ambiguity promoted quasi-normative control, regulating individuals' dual identities as both 'consultant' and 'expert'. Quasi-normative control promoted both creative and selfdisciplining behaviour such that processes of knowledge creation occurred in ways that were ultimately efficient for the finn. These findings represent a new contribution to knowledge with regards to organisational culture and the management of knowledge workers and will hopefully stimulate further research in this area.

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9

Schlobach, Klaus Stefan. "Knowledge discovery in hybrid knowledge representation systems." Thesis, King's College London (University of London), 2002. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.272023.

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10

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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Книги з теми "Knowledge"

1

Fred, Ana, Jan L. G. Dietz, Kecheng Liu, and Joaquim Filipe, eds. Knowledge Discovery, Knowlege Engineering and Knowledge Management. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-19032-2.

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2

Sumillera, Rocío Gutierrez, Jan Surman, and Katharina Kühn, eds. Translation in Knowledge Knowlegde in Translation. Amsterdam: John Benjamins Publishing Company, 2020. http://dx.doi.org/10.1075/btl.154.

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3

Fred, Ana, David Aveiro, Jan Dietz, Ana Salgado, Jorge Bernardino, and Joaquim Filipe, eds. Knowledge Discovery, Knowledge Engineering and Knowledge Management. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-14602-2.

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4

Fred, Ana, David Aveiro, Jan L. G. Dietz, Kecheng Liu, Jorge Bernardino, Ana Salgado, and Joaquim Filipe, eds. Knowledge Discovery, Knowledge Engineering and Knowledge Management. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-15640-4.

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5

Fred, Ana, Jan L. G. Dietz, Kecheng Liu, and Joaquim Filipe, eds. Knowledge Discovery, Knowledge Engineering and Knowledge Management. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-54105-6.

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6

Fred, Ana, Jan L. G. Dietz, David Aveiro, Kecheng Liu, and Joaquim Filipe, eds. Knowledge Discovery, Knowledge Engineering and Knowledge Management. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-25840-9.

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7

Fred, Ana, Jan L. G. Dietz, David Aveiro, Kecheng Liu, and Joaquim Filipe, eds. Knowledge Discovery, Knowledge Engineering and Knowledge Management. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-52758-1.

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8

Fred, Ana, Jan L. G. Dietz, Kecheng Liu, and Joaquim Filipe, eds. Knowledge Discovery, Knowledge Engineering and Knowledge Management. Berlin, Heidelberg: Springer Berlin Heidelberg, 2015. http://dx.doi.org/10.1007/978-3-662-46549-3.

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9

Fred, Ana, Jan L. G. Dietz, Kecheng Liu, and Joaquim Filipe, eds. Knowledge Discovery, Knowledge Engineering and Knowledge Management. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-29764-9.

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10

Fred, Ana, Ana Salgado, David Aveiro, Jan Dietz, Jorge Bernardino, and Joaquim Filipe, eds. Knowledge Discovery, Knowledge Engineering and Knowledge Management. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-49559-6.

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Частини книг з теми "Knowledge"

1

Stehr, Nico. "Knowledge about Knowledge1." In Knowledge Capitalism, 48–161. New York: Routledge, 2022. http://dx.doi.org/10.4324/9781003296157-2.

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2

Beck, John. "Powerful Knowledge, Esoteric Knowledge, Curriculum Knowledge." In Knowledge and the Future of the Curriculum, 65–75. London: Palgrave Macmillan UK, 2014. http://dx.doi.org/10.1057/9781137429261_4.

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3

Shi, Zhongying. "Knowledge, Knowledge Form, and Knowledge Transformation." In Transformation of Knowledge and Educational Reform, 9–30. Singapore: Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-19-9271-1_2.

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4

Stehr, Nico, and Alexander Ruser. "Knowledge Society, Knowledge Economy and Knowledge Democracy." In Handbook of Cyber-Development, Cyber-Democracy, and Cyber-Defense, 1–20. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-06091-0_16-1.

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5

Stehr, Nico, and Alexander Ruser. "Knowledge Society, Knowledge Economy, and Knowledge Democracy." In Handbook of Cyber-Development, Cyber-Democracy, and Cyber-Defense, 475–94. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-09069-6_16.

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6

Shute, Valerie J. "My Knowledge of Knowledge." In Intelligent Tutoring Systems, 4. Berlin, Heidelberg: Springer Berlin Heidelberg, 1998. http://dx.doi.org/10.1007/3-540-68716-5_4.

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7

Koskinen, Kaj U. "Knowledge and Knowledge Management." In Knowledge Production in Organizations, 79–96. Heidelberg: Springer International Publishing, 2013. http://dx.doi.org/10.1007/978-3-319-00104-3_8.

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8

Stehr, Nico. "Knowledge Politics: Policing Knowledge." In Pioneers in Arts, Humanities, Science, Engineering, Practice, 261–85. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-76995-0_18.

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9

Turnbull, David. "Knowledge Systems: Local Knowledge." In Encyclopaedia of the History of Science, Technology, and Medicine in Non-Western Cultures, 2495–501. Dordrecht: Springer Netherlands, 2016. http://dx.doi.org/10.1007/978-94-007-7747-7_8705.

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Zieba, Malgorzata. "Knowledge and Knowledge Management." In Understanding Knowledge-Intensive Business Services, 1–19. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-75618-5_1.

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Тези доповідей конференцій з теми "Knowledge"

1

Xie, Yijie, Xiangfeng Luo, and Xinzhi Wang. "Combing formalized temporal knowledge and generative background knowledge for temporal knowledge graph reasoning." In Third International Conference on Electronics Technology and Artificial Intelligence (ETAI 2024), edited by Feng Yin and Zehui Zhan, 52. SPIE, 2024. http://dx.doi.org/10.1117/12.3045266.

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Xin Gu, Jiuping Li, and Weicheng Wang. "Knowledge chain, knowledge chain management and knowledge advantage." In Proceedings of ICSSSM '05. 2005 International Conference on Services Systems and Services Management, 2005. IEEE, 2005. http://dx.doi.org/10.1109/icsssm.2005.1500120.

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3

Avasthi, Vinay, Shubhamoy Dey, Shankar Venkatagiri, Kamal Kishore Jain, and Rajhans Mishra. "Knowledge Networks and Knowledge Adjacencies." In the 8th Annual ACM India Conference. New York, New York, USA: ACM Press, 2015. http://dx.doi.org/10.1145/2835043.2835053.

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4

Seyler, Dominic, Mohamed Yahya, and Klaus Berberich. "Knowledge Questions from Knowledge Graphs." In ICTIR '17: ACM SIGIR International Conference on the Theory of Information Retrieval. New York, NY, USA: ACM, 2017. http://dx.doi.org/10.1145/3121050.3121073.

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5

Dong, Xin Luna, and Divesh Srivastava. "Knowledge Curation and Knowledge Fusion." In SIGMOD/PODS'15: International Conference on Management of Data. New York, NY, USA: ACM, 2015. http://dx.doi.org/10.1145/2723372.2731083.

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6

Chen, Pengguang, Shu Liu, Hengshuang Zhao, and Jiaya Jia. "Distilling Knowledge via Knowledge Review." In 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). IEEE, 2021. http://dx.doi.org/10.1109/cvpr46437.2021.00497.

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7

Li, Peilun. "Knowledge and Meta-knowledge: From the Generating of Knowledge to the Management of Knowledge." In 2018 International Conference on Management and Education, Humanities and Social Sciences (MEHSS 2018). Paris, France: Atlantis Press, 2018. http://dx.doi.org/10.2991/mehss-18.2018.17.

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Setyowibowo, Feri, M. Sabandi, and Mr Sunarto. "Structural Relationships between Technological Knowledge, Content Knowledge and Pedagogical Knowledge." In International Conference on Teacher Training and Education 2017 (ICTTE 2017). Paris, France: Atlantis Press, 2017. http://dx.doi.org/10.2991/ictte-17.2017.51.

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NEȘTIAN, Ștefan Andrei, Alexandra Luciana GUȚĂ, and Silviu Mihail TIȚĂ. "CORRELATIONS BETWEEN KNOWLEDGE RISKS AND KNOWLEDGE VULNERABILITIES ALONG KNOWLEDGE PROCESSES." In INTERNATIONAL MANAGEMENT CONFERENCE. Editura ASE, 2024. http://dx.doi.org/10.24818/imc/2023/02.06.

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Анотація:

This research is a continuation of a study conducted in 2023 on the subject of knowledge vulnerabilities and risks in knowledge processes, within private companies. The initial study has been presented at an international conference and aimed to put forward measuring scales for the concepts of “knowledge vulnerabilities” and “knowledge risks”, using a new ontology developed by Brătianu et al. (2022) in order to develop an instrument for measuring both knowledge risks and knowledge vulnerabilities. The present study aims to analyze the relationships that we found between the components of a latent variable that we named “types of knowledge vulnerabilities” and the components of another latent variable, namely “types of knowledge risks”. This paper uses the components that were identified for types of knowledge vulnerabilities and for types of knowledge risks in the previous study, based on a sample of 117 valid questionnaires, the respondents being managers and employees (non-managers) from private companies from various fields of activity. The main findings of this study show that vulnerabilities related to knowledge loss and knowledge use present moderate positive and statistically significant correlations with all the knowledge risks components and that vulnerabilities related to emotional and spiritual knowledge dynamics presents a strong positive correlation with the risks with a similar name.

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10

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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Звіти організацій з теми "Knowledge"

1

von Sigsfeld, Julia. Ancestral Knowledges and the Ecuadorian Knowledge Society. Maria Sibylla Merian Centre Conviviality-Inequality in Latin America, July 2020. http://dx.doi.org/10.46877/sigsfeld.2020.24.

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2

von Sigsfeld, Julia. Ancestral Knowledges and the Ecuadorian Knowledge Society. Maria Sibylla Merian International Centre for Advanced Studies in the Humanities and Social Sciences Conviviality-Inequality in Latin America, 2020. http://dx.doi.org/10.46877/sigsfeld.2020.24.

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The government of Rafael Correa (2007-2017) embarked on an ambitious project of diversifying the national economy to transition from a primary resource exporting economy to a competitive Knowledge Society and a Knowledge-Based Bio-Economy as biodiversity was conceptualized as the country’s most significant comparative advantage. This paper traces how peoples’ and nationalities’ knowledges, so-called ancestral knowledges, were elicited in unprecedented ways in this context of bringing about a change of the productive matrix. While knowledge in general was reframed as an infinite resource, ancestral knowledges were made productive for a state-led project of capitalist modernization.

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3

Zucker, Lynne, Michael Darby, Jonathan Furner, Robert Liu, and Hongyan Ma. Minerva Unbound: Knowledge Stocks, Knowledge Flows and New Knowledge Production. Cambridge, MA: National Bureau of Economic Research, November 2006. http://dx.doi.org/10.3386/w12669.

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4

Chalupsky, Hans, and Robert M. MacGregor. Ontologies, Knowledge Bases and Knowledge Management. Fort Belvoir, VA: Defense Technical Information Center, July 2002. http://dx.doi.org/10.21236/ada408551.

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5

Huang, Peng, Atreyi Kankanhalli, Harris Kyriakou, and Rajiv Sabherwal. Knowledge Management. MIS Quarterly, April 2018. http://dx.doi.org/10.25300/misq/2019/curations/04302018.

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6

Maurer, Stephen, and Suzanne Scotchmer. Procuring Knowledge. Cambridge, MA: National Bureau of Economic Research, August 2003. http://dx.doi.org/10.3386/w9903.

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7

Heckman, James, and Jin Zhou. Measuring Knowledge. Cambridge, MA: National Bureau of Economic Research, April 2022. http://dx.doi.org/10.3386/w29990.

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8

Capraro, Gerard T., and Gerald B. Berdan. Intensive Knowledge Discovery from Heterogeneous Distributed Data and Knowledge. Fort Belvoir, VA: Defense Technical Information Center, October 2001. http://dx.doi.org/10.21236/ada397959.

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9

Thomas, Beverly E., and Wayne J. Schmidt. Building a Knowledge Base for the Knowledge Worker System. Fort Belvoir, VA: Defense Technical Information Center, August 1992. http://dx.doi.org/10.21236/ada258544.

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10

Link, Albert, and Christopher Ruhm. Public Knowledge, Private Knowledge: The Intellectual Capital of Entrepreneurs. Cambridge, MA: National Bureau of Economic Research, March 2009. http://dx.doi.org/10.3386/w14797.

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