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

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Vincenzo Cavaliere and Daria Sarti hiring (eigenvalue= 1,400; 17,5% <strong>of</strong> <strong>the</strong> variance captured; alpha= 0,696). The third factor (eigenvalue= 1,010; 12,63% <strong>of</strong> <strong>the</strong> variance captured; alpha= 0,506) captured importance given by SEs to customers, suppliers and competitors. We named this factor “Learning by competitive functioning”. The two factors “Learning by knowledge networking” and “Learning by competitive functioning” represent toge<strong>the</strong>r <strong>the</strong> variable “cooperation strategies and organizational functioning” to verify hypo<strong>the</strong>sis 2. Toge<strong>the</strong>r, <strong>the</strong> three factors explained 61,5% <strong>of</strong> <strong>the</strong> variance (Table 1). Table 1: Factor analysis <strong>of</strong> importance given by SEs to knowledge sources. Importance <strong>of</strong> knowledge sources Factors 1 – Learning by knowledge networking 2 Learning by HC 3 – Learning by competitive functioning Clients ,110 ,024 ,744 Suppliers ,011 -,099 ,771 Universities and Research Centres ,610 ,357 ,061 Competitors ,150 ,204 ,580 Networks and groups ,794 ,171 ,104 Associations ,824 -,014 ,132 Internal staff ,120 ,860 ,071 Hiring external staff ,174 ,829 ,012 Eigenvalue 2,507 1,400 1,010 % <strong>of</strong> variance explained 31,34% 17,50% 12,63% % <strong>of</strong> cumulative variance explained 31,34% 48,84% 61,47% 5. Analysis and results An independent-samples t-test was conducted to compare firms that did innovation and firms that did not. Results show that firms that did process innovation give more importance to clients (t(142)=3,124; p
Vincenzo Cavaliere and Daria Sarti Table 2: Results <strong>of</strong> logistic regression analysis by innovation. Variable Model for Product Innovation Model for Process Innovation b Exp (b) b Exp (b) Intercept - 1,339*** 0,262 - 2,709*** 0,067 Prior organizational knowledge base 1,507*** 4,512 - 0,644 0,525 Learning by knowledge networking 0,036 1,037 0,526* 1,692 Learning by HC 1,171*** 3,225 1,390*** 4,015 Learning by competitive functioning 0,190 1,209 0,944** 2,570 Model Chi-square Degrees <strong>of</strong> Freedom Note: *p
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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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Klaus Bredl, Amrei Groß and Jane F
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Page 176 and 177: Adriana Schiopoiu Burlea With respe
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Page 182 and 183: 3.2 Discussions Adriana Schiopoiu B
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Page 186 and 187: Simon Cadez and Vlado Dimovski with
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Page 192 and 193: Why Should I Share my new ideas? Cu
Page 194 and 195: Francesco Calza, Rossella Canestrin
Page 202 and 203: José Manuel Cardenas and Mauro Spi
Page 208 and 209: Vincenzo Cavaliere and Daria Sarti
Page 216 and 217: National Knowledge Management Strat
Page 218 and 219: Behiye Çavuşoğlu and Mustafa Sag
Page 224 and 225: Implementing a work-life balance cu
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Page 232 and 233: The Influence of R
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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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Monique Lortie and Lise Desmarais I
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Monique Lortie and Lise Desmarais D
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Halimah Abdul Manaf, Steven Armstro
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Anca Mândruleanu teams, networks a
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Anca Mândruleanu organization and
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Anca Mândruleanu Griffin, R.W., Mo
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Simone Manfredi, Domenico Celenza a
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Modelling Knowledge Sharing Into a
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2 masseurs ; Virginia Maracine et a
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2.1.1 SNA - the co
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Virginia Maracine et al mapping <st
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Virginia Maracine et al Which are
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Objective 1 - Mapping of</s
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From Knowledge Acquisition to Knowl
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Peter Marshall and Damian Gordon el
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Peter Marshall and Damian Gordon kn
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2.3.4 Types of Kno
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Peter Marshall and Damian Gordon Ma
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