Proceedings of the 12th European Conference on Knowledge ...

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Peter Marshall and Damian Gordon Marshall, P. Bandar, Z. 1999. Working Towards Connectionist Modelling <strong>of</strong> Term Recognition, Lecture Notes in Computer Science, 1625, Springer Berlin / Heidelberg Marshall, P., Gordon, D., 2011, Eliciting Tacit Knowledge from a Domain <strong>of</strong> Physical Skill, 3rd <strong>European</strong> <strong>Conference</strong> on Intellectual Capital Martínez-Béjar, R.,et al 1996. Deriving formal parameters for comparing knowledge elicitation techniques based on ma<strong>the</strong>matical functions, In B. R. Gaines and M. Musen (Eds.), <strong>Proceedings</strong> <strong>of</strong> <strong>the</strong> 10th Banff Knowledge Acquisition for Knowledge-Based Systems Workshop McGraw, K. L. Harbison-Briggs, K. 1989. Knowledge Acquisition: Principles and Guidelines. Prentice Hall, Englewood Cliffs, NJ McGraw, K. L. and Seale, M. R. 1988. Knowledge Elicitation with Multiple Experts: Considerations and Techniques, Artificial Intelligence Review, 2, 31-44. Means, B. Gott, S. P. 1988. Cognitive Task Analysis as a Basis for Tutor Development: Articulating Abstract Knowledge Representations, In J. Psotka, L. D. Massey, & S. A.Mutter (Eds.), Intelligent Tutoring Systems: Lessons Learned, 35–57, Hillsdale, NJ:Erlbaum Mittal, S. and Dym, C. L. 1995. Knowledge Acquisition from Multiple Experts, AI Magazine, 6, 32-36. Moore, C. J. Miles, J. C. 1991. Knowledge Elicitation Using More than One Expert to Cover <strong>the</strong> Same Domain, Artificial Intelligence, 5, 255-271. Okafor, E.C. & Osuagwu, C.C. 2006. The underlying issues in knowledge elicitation. InterdisciplinaryJournal <strong>of</strong> Information, Knowledge, and Management Olson, J. R. Biolsi, K. J. 1991. Techniques for Representing Knowledge Structures, In A. Ericsson and J. Smith (Eds.) Study <strong>of</strong> Expertise: Prospects and Limits, Cambridge, England: Cambridge University Press, 240 - 285. Sánchez M.J., Fernández-Sánchez F., 2010, Superiority <strong>of</strong> indirect methods in <strong>the</strong> elicitation <strong>of</strong> knowledge over direct ones, RAEL: Revista Electrónica de Lingüística Aplicada, ISSN 1885-9089, 9. 97-117 Shadbolt, N. Burton, M. 1989. The Empirical Study <strong>of</strong> Knowledge Elicitation Techniques, SIGART Newsletter, 108. Slagle, J. R., & Wick, M. R. 1988. A method for evaluating candidate expert system applications. AIMagazine, 9(4), 44-53. Stefik, M. , & Conway, L. Towards <strong>the</strong> principled engineering <strong>of</strong> knowledge. AI Magazine, Vol. 3:3, pp. 4-16, Summer 1982 Turban, E. Aronson, J.E. 1998. Decision Support Systems and Intelligent Systems (5th edition), Upper Saddle River, Prentice Hall. Wilson, L. & Holloway, P., 2000. Ten Page Guide to Eliciting Implicit Knowledge. Knowledge Harvesting Inc. 598
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Proceedings <stron
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Contents Title Author(s) Picture <s
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Title Author(s) Picture of<
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Volume Two The Influence of
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The Symbolic Innovation of<
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Biographies of <st
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Jan Pawlowski works as Prof
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in academia. He holds the</
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Biomedical Engineering Research Cen
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Mathematics and Ph
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Thi Hai Hang Nguyen is a lecturer a
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Dan Savescu graduate TCM Faculty, p
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Teaches Business Computing and Stat
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Abdallah Al-Shawabkeh, Alexander K<
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Table 1: Inn-KM approach contents 2
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Knowledge Dynamics and Organisation
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Eckhard Ammann We distinguish three
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Eckhard Ammann quality dimension ar
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Eckhard Ammann The second cycle, Cy
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Figure 7: Supervised learning-by-do
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Identifying and Ranking the
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Manouchehr Ansari et al users <stro
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2.5 leadership and strategy Manouch
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Manouchehr Ansari et al conducted s
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Serious Games in the</stron
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Albena Antonova and Anandasivakumar
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Albena Antonova and Aniko Csepregi
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Seyed Esmaeil Asgharpour and Gholam
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Attitude of Senior
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4.5 Comparative Advantage Seyed Esm
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Contextual Adaptive Visualization E
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Xiaoyan Bai, David White and David
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Simona-Clara Bârsan, Mihaela-Georg
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2.4 Rights transfer Simona-Clara B
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A Framework for the</strong
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Leila Beig et al Additionally, Wei
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Leila Beig et al The proposed KM au
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Leila Beig et al source context Ele
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Leila Beig et al Figure 1: Learning
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Leila Beig et al Figure 3 visually
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Leila Beig et al based on collectiv
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Experiential Knowledge Creation Pro
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Didiosky Benítez et al Figure 1: E
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Didiosky Benítez et al meanings ac
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Didiosky Benítez et al In previous
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Didiosky Benítez et al Academic p
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Pavel Bogolyubov Figure 1: number <
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4. Results and discussion Pavel Bog
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Pavel Bogolyubov Knowledge Manageme
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Pavel Bogolyubov Table 3: Countries
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Pavel Bogolyubov McNamee, R. C., N.
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Ettore Bolisani, Francesca Gambarot
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Table 2: Synthesis
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Ettore Bolisani, Marco Paiola and E
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Strategies for Increasing Knowledge
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Constantin Bratianu, Adriana Agapie
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Klaus Bredl, Amrei Groß and Jane F
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Camelia Burja and Vasile Burja Appr
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∀ , i ≥ 0 v u i where: ui repre
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Camelia Burja and Vasile Burja Tabl
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Camelia Burja and Vasile Burja info
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Camelia Burja and Vasile Burja Jack
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Adriana Schiopoiu Burlea With respe
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Adriana Schiopoiu Burlea 3. ESF rol
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Adriana Schiopoiu Burlea In <strong
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3.2 Discussions Adriana Schiopoiu B
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Adriana Schiopoiu Burlea Nonaka, I.
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Simon Cadez and Vlado Dimovski with
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Simon Cadez and Vlado Dimovski scho
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Simon Cadez and Vlado Dimovski It i
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Why Should I Share my new ideas? Cu
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Francesco Calza, Rossella Canestrin
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José Manuel Cardenas and Mauro Spi
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Vincenzo Cavaliere and Daria Sarti
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National Knowledge Management Strat
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Behiye Çavuşoğlu and Mustafa Sag
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Implementing a work-life balance cu
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Juan-Gabriel Cegarra-Navarro, Mª E
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The Influence of R
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Huei-Fang Chen and Yi-Wen Lin outco
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3.2.4 Knowledge-sharing Huei-Fang C
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Huei-Fang Chen and Yi-Wen Lin that
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Huei-Fang Chen and Yi-Wen Lin Hair,
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2.1.2 Social capital Marguerite Cro
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Marguerite Cronk 2.3 Social capital
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Marguerite Cronk Figure 4: The rela
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An Exploratory Study of</st
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Françoise de Viron, Thomas Lederer
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4.1.2 The researchers Françoise de
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The Application of
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Nasser Easa and Robin Fincham 3. Th
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Nasser Easa and Robin Fincham knowl
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Nasser Easa and Robin Fincham <stro
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Network Management as a way to Mana
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Eva Eckenhofer An
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Eva Eckenhofer par
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Initiation Configuration Interessem
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Eva Eckenhofer Eve
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The Essence of Kno
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Emmanuel Innocents Edoun and Valden
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4. Case study and analysis Emmanuel
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2. The PUS-project Anandasivakumar
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Anandasivakumar Ekambaram and Agnar
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Jamal El-Den and Xin Zhou This rese
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Jamal El-Den and Xin Zhou 5. After
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Jamal El-Den and Xin Zhou includes
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Jamal El-Den and Xin Zhou Boyce, C.
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Tiit Elenurm development visions. C
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Tiit Elenurm companies the<
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Tiit Elenurm their
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References Tiit Elenurm Accorsi, F.
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Isaac Enakimio and Abdallah Al-Shaw
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A proposed Framework for Discoverin
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2.3 Knowledge mapping Mohamad Ali F
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Mohamad Ali Feyz, Babak Akhgar and
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Mohamad Ali Feyz, Babak Akhgar and
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Knowledge Workers: A Typology Frame
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Jiří Franek and Eva Grublova crea
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Jiří Franek and Eva Grublova Know
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Jiří Franek and Eva Grublova memb
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Middle Managers’ Maturity <strong
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Zoltán Gaál et al investigated m
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Zoltán Gaál et al Table 2: Total
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Zoltán Gaál et al characterised b
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Zoltán Gaál et al Matzler, K., Re
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Charles Gagné et al This paper pre
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Charles Gagné et al attributable t
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Charles Gagné et al intermediary d
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Adoption of Knowle
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1.1.2 SMEs and KMS Tendayi Gondo an
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Tendayi Gondo and Edmore Kori ambit
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Tendayi Gondo and Edmore Kori <stro
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Tendayi Gondo and Edmore Kori demon
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The Chain Value Process and Knowled
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Manel González-Piñero et al Captu
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4. What a biofeedb
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Manel González-Piñero et al The p
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References Manel González-Piñero
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Nebojsa Graca and Ana Lucija Gojako
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creating new, added, essential qual
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Norbert Gronau et al Those processe
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Norbert Gronau et al systematic mod
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Instance Schema Figure 4: Cyclic tr
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Norbert Gronau et al 4.2 Feasibilit
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Receive suggestions Compare suggest
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The Not-Invented-Here Syndrome in A
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David Grosse Kathoefer and Jens Lek
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Opinion of colleag
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Appendix David Grosse Kathoefer and
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Individual Level Influencers on Tac
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Claire Gubbins et al that such know
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Claire Gubbins et al 3.2 Individual
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Claire Gubbins et al “my thing wi
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Claire Gubbins et al Cabrera, A., C
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Oscar Guerra and Janeth Rojas Accor
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Oscar Guerra and Janeth Rojas Figur
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Why does knowledge transfer process
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3.7 Monitoring and control Oscar Gu
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Understanding Personal Knowledge De
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Markus Haag and Yanqing Duan In ord
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Markus Haag and Yanqing Duan 4.2 In
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Markus Haag and Yanqing Duan have a
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Chaordic Knowledge Management - Shi
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Frank Habermann, Jörg Fehlinger an
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Intellectual Capital in Universitie
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Meliha Handzic and Kursad Ozlen rep
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Table 3: Opinions about Human Capit
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Meliha Handzic and Kursad Ozlen How
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Developing a Knowledge Strategy Usi
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Harold Harlow knowledge to create c
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3.1 TKI Regression results Harold H
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Harold Harlow of <
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Understanding the
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3.1 Acquire Ciara Heavin and Freder
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Table 3: Distribution of</s
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Ciara Heavin and Frederic Adam Trav
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Ciara Heavin and Frederic Adam Tabl
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Ciara Heavin and Frederic Adam prov
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Key Knowledge Sharing Points: Explo
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Tore Hoel and Jan Pawlowski identif
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Tore Hoel and Jan Pawlowski The arc
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4.2.1 Discussion - Case 2 Tore Hoel
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Using Web 2.0 Technologies to Suppo
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Marta Infante Abreu, Florian Mat<st
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Pamela Chidiogo Izunwanne 2. Knowle
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Pamela Chidiogo Izunwanne use <stro
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Pamela Chidiogo Izunwanne 5.3 Organ
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Pamela Chidiogo Izunwanne Davenport
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Thomas Janke room for communication
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Thomas Janke 4. Reference implement
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Thomas Janke The rule states that w
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Thomas Janke Softw
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Towards a Detailed View on
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Vincent de Jong and Remko Helms Fig
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4.1 Case study setup Vincent de Jon
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Vincent de Jong and Remko Helms The
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Vincent de Jong and Remko Helms mak
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Vincent de Jong and Remko Helms Man
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Claudia Jooß et al at RWTH Aachen
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Claudia Jooß et al Regarding <stro
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Claudia Jooß et al learning (cf. B
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Expert Knowledge: Does it Help or H
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Selvi Kannan are people who have ex
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Selvi Kannan Amabile (1983) states
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Selvi Kannan American Task Force, R
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Integration of Kno
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Eva-Maria Kern et al Figure 1: Rela
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Eva-Maria Kern et al identification
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Eva-Maria Kern et al be gat
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Eva-Maria Kern et al For visualizin
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Knowledge Management Practices (KMP
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Radwan Kharabsheh, Ihab Magableh an
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Knowledge Management Across <strong
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Aino Kianto, Tatiana Andreeva and X
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5. Conclusions Aino Kianto, Tatiana
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Facilitating Knowledge Sharing in V
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Andrea Kő, Péter Fehér and Krisz
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Esther Lage et al
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Esther Lage et al
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Esther Lage et al
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Esther Lage et al
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Monique Lortie and Lise Desmarais e
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Monique Lortie and Lise Desmarais 3
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Page 578 and 579: Halimah Abdul Manaf, Steven Armstro
Page 590 and 591: Anca Mândruleanu teams, networks a
Page 592 and 593: Anca Mândruleanu organization and
Page 594 and 595: Anca Mândruleanu Griffin, R.W., Mo
Page 596 and 597: Simone Manfredi, Domenico Celenza a
Page 604 and 605: Modelling Knowledge Sharing Into a
Page 606 and 607: 2 masseurs ; Virginia Maracine et a
Page 608 and 609: 2.1.1 SNA - the co
Page 610 and 611: Virginia Maracine et al mapping <st
Page 612 and 613: Virginia Maracine et al Which are
Page 614 and 615: Objective 1 - Mapping of</s
Page 616 and 617: From Knowledge Acquisition to Knowl
Page 618 and 619: Peter Marshall and Damian Gordon el
Page 620 and 621: Peter Marshall and Damian Gordon kn
Page 622 and 623: 2.3.4 Types of Kno
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