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Meliha Handzic and Kursad Ozlen However, <strong>the</strong>re is room for fur<strong>the</strong>r improvement in a number <strong>of</strong> IC issues. There is also an opportunity for fur<strong>the</strong>r development. The greatest challenge for <strong>the</strong> case university is to move in <strong>the</strong> direction <strong>of</strong> its mission <strong>of</strong> advancing learning and transforming life by consciously and deliberately addressing its strategic IC. 5.2 Implications and limitations The results <strong>of</strong> this IC model development and application have a number <strong>of</strong> important implications for university in continuing its education and research journey. The high number <strong>of</strong> unsure and no responses indicate <strong>the</strong> need for raising awareness <strong>of</strong> IC throughout <strong>the</strong> university. The proposed IC model may be helpful in this regard by creating a common understanding <strong>of</strong> <strong>the</strong> IC phenomena including basic components and indicators. It should also help to avoid any danger <strong>of</strong> misconception and misunderstanding by promoting <strong>the</strong> use <strong>of</strong> a common terminology. It is obvious that <strong>the</strong> results <strong>of</strong> this research are limited by a specific higher education context and a group <strong>of</strong> academic and support staff participants in which <strong>the</strong> evaluation <strong>of</strong> intellectual capital was investigated. In order to generalise <strong>the</strong> findings, fur<strong>the</strong>r research is required involving o<strong>the</strong>r contexts and subject groups. Consideration <strong>of</strong> some kind <strong>of</strong> maturity model or method to support <strong>the</strong> development <strong>of</strong> IC at universities would be useful. Future research is also required to study <strong>the</strong> impact <strong>of</strong> various tasks, environment and people related contingencies on IC, and how <strong>the</strong>y relate to performance outcomes. Only by systematically investigating fundamental aspects <strong>of</strong> IC, by cultivating better measures and by critically examining alternative <strong>the</strong>oretical models, can <strong>the</strong> IC field continue to progress. 6. Conclusions This paper made two contributions: (i) highlighted some conceptual and methodological issues in relation to IC measurement by presenting an IC reporting model specifically adapted for universities; and (ii) provided some insights into IC at a specific case organisation within <strong>the</strong> higher education sector: a new international university from an Eastern <strong>European</strong> country. The study applied a subjective IC measurement approach to explore <strong>the</strong> importance and actual state <strong>of</strong> IC at <strong>the</strong> case university. From <strong>the</strong> conceptual point <strong>of</strong> view, <strong>the</strong> applied measurement model and terminology were adapted from a general IC framework. The assessment was performed subjectively, taking into account <strong>the</strong> faculty and student perspectives on importance and actual state <strong>of</strong> human, structural and relational capital at <strong>the</strong> case university. The findings point to human capital as <strong>the</strong> case university’s major strength. They also identify several weaknesses in structural and relational capital. These points may define <strong>the</strong> agenda for future research in <strong>the</strong> field for <strong>the</strong> benefit <strong>of</strong> both <strong>the</strong>ory and practice <strong>of</strong> IC reporting and management in universities. References Bullen, E., Fahey, J. and Kenway, J. (2006) ”The Knowledge Economy and Innovation: Certain Uncertainty and The Risk Economy”, Discourse: studies in <strong>the</strong> cultural politics <strong>of</strong> education, Vol.27,No.1.,pp 53-68. Chen, C.K. (2008) “Causal Modeling <strong>of</strong> Knowledge- Based Economy”, Management Decision, Vol.46, No.3, pp 501-514. Dumay, J.C. (2009),”Intellectual Capital Measurement: A Critical Approach” Journal <strong>of</strong> Intellectual Capital, Vol.10, No.2, pp 190-210 Edvinsson, L. and Malone, M.S. (1997) Intellectual Capital: Realising Your Company’s True Value by Finding Its Hidden Brainpower, Judy Piatkus (Publishers), Ltd., London. Farrell, L. (2001) “Negotiating Knowledge in <strong>the</strong> Knowledge Economy: Workplace Educators and <strong>the</strong> Politics <strong>of</strong> Codification”, Studies in Continuing Education, Vol.23, No.2. Guthrie, J. (2001) “The Management, Measurement and <strong>the</strong> Reporting <strong>of</strong> Intellectual Capital”, Journal <strong>of</strong> Intellectual Capital, Vol.2, No. 1, pp 27-41. Handzic, M. and Zhou, A. (2005), Knowledge Management: An Integrative Approach, Chandos Publishing, Oxford, UK. Hellstrom, T. and Husted, K. (2004) ”Mapping Knowledge and Intellectual Capital in Academic Environments”, Journal <strong>of</strong> Intellectual Capital, Vol.5, No. 1, pp 165-180. Johanson, U., Koga, C., Almqvist, R. and Skoog, M. (2009) “Breaking Taboos: Implementing Intellectual Assets- Based Management Guidelines”, Journal <strong>of</strong> Intellectual Capital, Vol.10, No.4, pp 520-538. Judd C.M., Smith E.R. and Kidder L.H. (1991), Research Methods in Social Relations, 6th ed., Harcourt Brace Jovanovich College Publishers. Ozlen, K. (2010), Intellectual Capital: A Research Essay, Working paper, International Burch University, Sarajevo, Bosnia and Herzegovina. 414
Meliha Handzic and Kursad Ozlen Ramirez, Y., Lorduy, C. and Rojas, A.J. (2007) ”Intellectual Capital Management in Spanish Universities”, Journal <strong>of</strong> Intellectual Capital, Vol.8, No.4, pp 732-748 Roberts, J. (2001) “The Drive to Codify: Implications for <strong>the</strong> Knowledge- Based Economy’, Prome<strong>the</strong>us, Vol.19, No.2. Roberts, J. (2009) ”The Global Knowledge Economy in Question”, Critical Perspectives on International Business, Vol.5, No.4, pp 285-303. Robinson, G. and Kleiner, B.H. (1996) “How to Measure an Organization’s Intellectual Capital“, Managerial Auditing Journal, Vol.11, No.8, pp 36-39. Rodgers, W. and Housel, J.T. (2009) “Measures For Organizations Engaged in a Knowledge Economy”, Journal <strong>of</strong> Intellectual Capital, Vol.10, No.3, pp 341-353 Rooney, D. and Mckenna, B. (2005) “Should <strong>the</strong> Knowledge - Based Economy be a Savant or a Sage? Wisdom and Socially Intelligent Innovation, Prome<strong>the</strong>us, Vol.23, No.3, pp 307-323. Sanchez, P.M. and Elena, S. (2006) ”Intellectual Capital in Universities”, Journal <strong>of</strong> Intellectual Capital, Vol.7, No.4, pp 529-548. Sanchez, P.M., Elena, S. and Castrillo, R. (2009) ”Intellectual Capital Dynamics in Universities: A Reporting Model”, Journal <strong>of</strong> Intellectual Capital, Vol.10, No.2, pp 307-324. Stewart, T.A. (1997) Intellectual Capital: The New Wealth <strong>of</strong> Organisations, Doubleday/Currency, New York. Sveiby, K. (1997) The new organizational wealth: managing and measuring knowledge-based assets, Berrett- Koehler, San Francisco. Warhurst, C. (2008) “The Knowledge Economy, Skills and Government Labour Market Intervention”, Policy Studies, Vol. 29, No.1, pp 71-86. Williams, P.J. (2007) Valid Knowledge: The Economy and <strong>the</strong> Academy, Springer Science + Business Media B.V. Zeghal, D. and Maaloula, A. (2010) “Analysing Value Added As an Indicator <strong>of</strong> Intellectual Capital and Its Consequences on Company Performance”, Journal <strong>of</strong> Intellectual Capital, Vol.11, No.1, pp 39-60. 415
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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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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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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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Integration of Kno
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Eva-Maria Kern et al identification
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Knowledge Management Across <strong
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Facilitating Knowledge Sharing in V
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Andrea Kő, Péter Fehér and Krisz
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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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2.3.4 Types of Kno
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