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Markus Haag and Yanqing Duan have a stronger impact on Internalisation, i.e. PKD outcomes, than Externalisation processes have on Internalisation. However, <strong>the</strong> difference in effect size is not substantial. Table 5: Interrelationships <strong>of</strong> <strong>the</strong> ECI modes: Correlation coefficients Externalisation Combination Internalisation Externalisation – .533** .226** Combination .533** – .309** Internalisation .226** .309** – Moreover, <strong>the</strong> strong correlation between Externalisation and Combination (τ=.533) suggests that Externalisation and Combination could be interpreted as <strong>the</strong> two constituents <strong>of</strong> one latent factor that shares some characteristics with both Externalisation and Combination. It is argued here that <strong>the</strong> main shared characteristic is that both modes deal with ‘PKD processes’ as opposed to ‘PKD outcomes’ which are represented by Internalisation. Figure 2 depicts <strong>the</strong> EC-I model. It has to be pointed out that <strong>the</strong> EC-I model is only applicable in <strong>the</strong> context <strong>of</strong> PKD in online learning and not in o<strong>the</strong>r contexts. The model contains <strong>the</strong> following two main elements: Externalisation and Combination (i.e. PKD processes), and Internalisation (i.e. PKD outcomes). A more detailed discussion <strong>of</strong> EC-I can be found in Haag (2010). Figure 2: The EC-I model: A model <strong>of</strong> PKD in online learning 6. Conclusion In this paper, a new measurement instrument was discussed which measures <strong>the</strong> scores <strong>of</strong> a learner on Externalisation and Combination, representing PKD processes in OLEs, and on Internalisation, representing PKD outcomes in OLEs. This instrument can only be applied in <strong>the</strong> context <strong>of</strong> online learning and must be modified to make it suitable and relevant to a different context. Therefore, <strong>the</strong> items dealing with Externalisation and Combination must be revised in such a way so that <strong>the</strong>y adequately represent <strong>the</strong> PKD processes <strong>of</strong> <strong>the</strong> PKD context under investigation. The measurement items for Internalisation do not necessarily need to be modified because <strong>the</strong>y measure PKD outcomes, a concept that does not differ across PKD contexts. It was also shown that <strong>the</strong> SECI model can act as a useful starting point to investigate PKD in online learning. A new model, named <strong>the</strong> EC-I model, was presented in this paper. EC-I is based on <strong>the</strong> original SECI model and modified in such a way so that it is relevant in <strong>the</strong> context <strong>of</strong> PKD in OLEs at <strong>the</strong> individual level. In order to create fur<strong>the</strong>r models <strong>of</strong> PKD in contexts o<strong>the</strong>r than online learning, more research is needed to address this shortage <strong>of</strong> empirical measurement instruments that can measure <strong>the</strong> magnitude <strong>of</strong> Socialisation, Externalisation and Combination activities as well as <strong>the</strong> level <strong>of</strong> Internalisation, i.e. <strong>the</strong> end-results <strong>of</strong> such activities. This will make <strong>the</strong> SECI model or models based on SECI more useful for both researchers and practitioners in <strong>the</strong> field <strong>of</strong> knowledge management. References Bagozzi, R. P. (1994) Structural equation models in marketing research: Basic principles, in R. P. Bagozzi (ed) Principles <strong>of</strong> Marketing Research, pp 317-385, Blackwell, Oxford. Bollen, K. and Lennox, R. (1991) Conventional wisdom on measurement: A structural equation perspective, Psychological Bulletin, Vol. 110, No. 2, pp 305-314. 396
Markus Haag and Yanqing Duan Denzin, N. K. and Lincoln, Y. S. (eds) (2005) The SAGE Handbook <strong>of</strong> Qualitative Research, 3 rd edition, Sage, Thousand Oaks, CA. Diamantopoulos, A. and Winklh<strong>of</strong>er, H. M. (2001) Index construction with formative indicators: An alternative to scale development, Journal <strong>of</strong> Marketing Research, Vol. 38, No. 2, pp 269-277. Field, A. (2009) Discovering Statistics Using SPSS: (And Sex and Drugs and Rock’n’Roll), 3 rd edition, Sage, London. Gourlay, S. (2006) Conceptualizing knowledge creation: A critique <strong>of</strong> Nonaka’s <strong>the</strong>ory, Journal <strong>of</strong> Management Studies, Vol. 43, No. 7, pp 1415-1436. Haag, M. (2010) Personal Knowledge Development in Online Learning Environments: A Personal Value Perspective. PhD <strong>the</strong>sis, University <strong>of</strong> Bedfordshire, UK. Haag, M., Duan, Y. and Ma<strong>the</strong>ws, B. (2007) Knowledge Development in e-Learning Environments: A Cross- Cultural Perspective, <strong>Proceedings</strong> <strong>of</strong> <strong>the</strong> 8 th <strong>European</strong> <strong>Conference</strong> on Knowledge Management (ECKM 2007), Barcelona, Spain, 6 th -7 th September 2007, Vol. 1, pp 391-397. Haag, M., Duan, Y. and Ma<strong>the</strong>ws, B. (2008) Trial Application <strong>of</strong> <strong>the</strong> Schwartz Value Survey on Personal Knowledge Development through e-Learning. <strong>Proceedings</strong> <strong>of</strong> <strong>the</strong> 9th <strong>European</strong> <strong>Conference</strong> on Knowledge Management (ECKM 2008), Southampton, UK, 4th-5th September 2008, Vol. 1, pp 257-266. Haag, M., Duan, Y. and Ma<strong>the</strong>ws, B. (2009) Which Personal Values are Most Relevant to Knowledge Development through E-Learning? Insights from a Delphi Study. <strong>Proceedings</strong> <strong>of</strong> <strong>the</strong> 10th <strong>European</strong> <strong>Conference</strong> on Knowledge Management (ECKM 2009), Vicenza, Italy, 3rd-4th September 2009, pp 356- 363. Hinkin, T. R. (1995) A review <strong>of</strong> scale development practices in <strong>the</strong> study <strong>of</strong> organizations, Journal <strong>of</strong> Management, Vol. 21, No. 5, pp 967-988. Howell, D. C. (2009) Statistical Methods for Psychology, 7 th edition, Wadsworth, Belmont, CA. Moser, C. A. and Kalton, G. (1971) Survey Methods in Social Investigation, 2 nd edition, Ashgate, Aldershot. Nickols, F. W. (2000) The knowledge in knowledge management, in J. W. Cortada and J. A. Woods (eds) The Knowledge Management Yearbook 2000-2001, pp 12-21, Butterworth-Heinemann, Boston, MA. Nonaka, I. (1991) The knowledge-creating company, Harvard Business Review, Vol. 69, No. 3, pp 96-104. Nonaka, I. (1994) A dynamic <strong>the</strong>ory <strong>of</strong> organizational knowledge creation, Organization Science, Vol. 5, No, 1, pp 14-37. Nonaka, I. and Konno, N. (1998) The concept <strong>of</strong> “ba”: building a foundation for knowledge creation, California Management Review, Vol. 40, No. 3, pp 40-54. Nonaka, I. and Takeuchi, H. (1995) The Knowledge-Creating Company: How Japanese Companies Create <strong>the</strong> Dynamics <strong>of</strong> Innovation, Oxford University Press, Oxford. Nonaka, I. and Toyama, R. (2003) The knowledge-creating <strong>the</strong>ory revisited: knowledge creation as a syn<strong>the</strong>sizing process, Knowledge Management Research & Practice, Vol. 1, No. 1, pp 2-10. Nonaka, I., Toyama, R. and Byosière, P. (2001) A <strong>the</strong>ory <strong>of</strong> organizational knowledge creation: understanding <strong>the</strong> dynamic process <strong>of</strong> creating knowledge, in M. Dierkes, A. Berthoin Antal, J. Child, and I. Nonaka (eds) Handbook <strong>of</strong> Organizational Learning and Knowledge, pp 491-517, Oxford University Press, Oxford. Nonaka, I., Toyama, R. and Konno, N. (2000) SECI, ba and leadership: A unified model <strong>of</strong> dynamic knowledge creation, Long Range Planning, Vol. 33, No. 1, pp 5-34. Nonaka, I. and von Krogh, G. (2009) Tacit knowledge and knowledge conversion: Controversy and advancement in organizational knowledge creation <strong>the</strong>ory, Organization Science, Vol. 20, No. 3, pp 635-652. Nonaka, I., von Krogh, G. and Voelpel, S. (2006) Organizational knowledge creation <strong>the</strong>ory: Evolutionary paths and future advances, Organization Studies, Vol. 27, No. 8, pp 1179-1208. Rojas-Méndez, J. I., Davies, G., Omer, O., Chetthamrongchai, P. and Madran, C. (2002) A time attitude scale for cross cultural research, Journal <strong>of</strong> Global Marketing, Vol. 15, No. 3/4, pp 117-147. Takeuchi, H. and Nonaka, I. (eds) (2004) Hitotsubashi on Knowledge Management, John Wiley & Sons, Singapore. 397
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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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Nebojsa Graca and Ana Lucija Gojako
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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 American Task Force, R
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Integration of Kno
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Eva-Maria Kern et al identification
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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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Monique Lortie and Lise Desmarais e
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Anca Mândruleanu teams, networks a
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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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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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