Proceedings of the 3rd European Conference on Intellectual Capital

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Maria Molodchik and Anna Bykova The figures show <strong>the</strong> good position <strong>of</strong> company A in comparison with average meanings, but also <strong>the</strong> growth potential in terms <strong>of</strong> human and employed capital efficiency and traditional performance indicators. 6. Conclusion For <strong>the</strong> Perm companies our results suggest that VAIC and its components with o<strong>the</strong>r establishments are significantly associated with a company’s performance measured by total labour productivity. As such, our findings are ra<strong>the</strong>r similar to those from o<strong>the</strong>r recent research (Firer, Williams, 2003; Diez et al., 2010). We found that <strong>the</strong> VAIC TM model is appropriate to express company’s intellectual ability analysis. At <strong>the</strong> same time, our results need to be interpreted with a certain dose <strong>of</strong> caution. Although we took much care in trying to ascertain <strong>the</strong> robustness <strong>of</strong> <strong>the</strong> reported results, <strong>the</strong>re are no limits to <strong>the</strong> number <strong>of</strong> additional sensitivity tests that could be applied in terms <strong>of</strong> data, variable definitions, model specification and econometric techniques. Fur<strong>the</strong>rmore, we did not investigate a question <strong>of</strong> occurrence <strong>of</strong> processes’ causality <strong>of</strong> intellectual capital efficiency and labour productivity, pr<strong>of</strong>itability, sales growth and o<strong>the</strong>rs. Considering <strong>the</strong> organizational intellectual ability phenomenon specificity, it is necessary to carry out a qualitative research. Fur<strong>the</strong>r investigation may concern analysis <strong>of</strong> <strong>the</strong> companies’ organizational intellectual ability best-practices. This paper has discussed <strong>the</strong> organizational intellectual ability analysis. Today, <strong>the</strong>re exists <strong>the</strong> broad umbrella for a wide variety <strong>of</strong> similar, but never<strong>the</strong>less different concepts. A deeper understanding <strong>of</strong> how companies benefit from intellectual capital is necessary to avoid confusion, formulate a meaningful organizational intellectual ability concept, and select <strong>the</strong> appropriate methodology. The knowledge-based environment in Russia and majority <strong>of</strong> o<strong>the</strong>r currently developing countries requires a new model with intangible assets disclosure. In this case, <strong>the</strong> intellectual capital is receiving an increased attention. Acknowledgements This study comprises research findings from <strong>the</strong> ‘Intellectual Capital Evaluation” Project carried out within The Higher School <strong>of</strong> Economics’ 2011 Academic Fund Program. References Baiburina, E.R., Golovko, T.V., (2008), “Empirical investigation <strong>of</strong> intellectual enterprise value and its factors for big Russian companies”, Corporate Finance, №2 (6), pp.5-23 Bontis, N. (2001), “Assessing knowledge assets: a review <strong>of</strong> <strong>the</strong> models used to measure intellectual capital”, International Journal <strong>of</strong> Management Reviews, Vol.3, No1: pp. 41-60 Bontis, N. (2003), “Intellectual capital disclosure in Canadian corporations”, Journal <strong>of</strong> Human Resource Costing and Accounting, Vol. 7 N1/2, pp. 9-20. Chen, M-C., Cheng, S-J., Hwang, Y. (2005), “An empirical investigation <strong>of</strong> <strong>the</strong> relationship between intellectual capital and firms’ market value and financial performance”, Journal <strong>of</strong> Intellectual Capital, Vol.6, No.2, pp. 159-176 Diez, J.M., Ochoa, M.L., Prieto, M. B., Santidrian, A. (2010), “Intellectual capital and value creation in Spanish firms”, Journal <strong>of</strong> Intellectual Capital, Vol.11 No.3, pp.348-367 Edvinsson, L. and Malone, M. S., (1997), Intellectual Capital: Realizing your Company’s True Value by Finding its Hidden Brainpower. New York, NY: Harper Business. Firer, S. and Williams, M. (2003), “Intellectual capital and traditional measures <strong>of</strong> corporate performance”, Journal <strong>of</strong> Intellectual Capital, Vol.4 No.3, pp.348-360 Gonchar, K., Kuznecov, B., Dolgopyatova, T., Golikova, V., Yakovlev, A. (2010), “Firms and markets in 2005- 2009: evidence from two rounds <strong>of</strong> manufacturing industry research”, [online] https://www.hse.ru/data/2010/04/07/1218113331/report.pdf Kremp, E., Mairesse J., (2004), Knowledge management, innovation and productivity: a firm level exploration based on manufacturing CIS3 DATA, National Bureau <strong>of</strong> Economic Research Laing G., Dunn J., Hughes-Lucas S. Applying <strong>the</strong> VAIC model to Australian hotels, Journal <strong>of</strong> Intellectual Capital, Vol. 11, No.3, 2010, pp. 269-283 Pulic, A. (2000), “MVA and VAIC analysis <strong>of</strong> randomly selected companies from FTSE 250”, [online] www.vaicon.net Pulic, A. (2000), “Basic information on VAIC TM” , [online], www.vaic-on.net Shiu, H.-J. (2006), The Application <strong>of</strong> <strong>the</strong> Value Added Intellectual Coefficient to Measure Corporate Performance: Evidence from Technological Firms, International Journal <strong>of</strong> Management, Vol.23 No.2, pp. 356-365 276
Maria Molodchik and Anna Bykova S<strong>of</strong>ian, S., Tayles, M., Pike R., (2002), The implications <strong>of</strong> intellectual capital on performance measurement and corporate performance, [online], www.fppsm.utm.my/.../57-<strong>the</strong>-implications-<strong>of</strong>-intellectual-capital-onperformance-measurement-and-corporate-performance.html Sveiby, K.-E., (2007), Methods for Measuring Intangible Assets, [online] http://www.sveiby.com/articles/IntanbibleMethods.htm Tseng, C.-Y., Goo, Y.-J. J., (2005), Intellectual capital and corporate value in an emerging economy: empirical study <strong>of</strong> Taiwanese manufacturers, R&D Management, 35, 2, pp. 187-201 Volkov, D., Garanina T., (2007), Intangible Assets: Importance in <strong>the</strong> Knowledge-Based Economy and <strong>the</strong> Role in Value Creation <strong>of</strong> a Company. The Electronic Journal <strong>of</strong> Knowledge Management, Volume 5 Issue 4, pp.539-550, [online] www.ejkm.com 277
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Proceedings <stron
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Contents Paper Title Author(s) Page
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Paper Title Author(s) Page No. Hier
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Preface These proceedings represent
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educating through ‘hands on’ co
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Ibrahim Elbeltagi is a Senior lectu
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Theodora Ngosi has a PhD in Compute
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José Vale is an invited assistant
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Social Knowledge: Are you Ready? 1
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John Girard don’t know.” (Benne
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John Girard The real question becom
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John Girard our belief that many le
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John Girard organizations to gain k
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Intellectual Capital Accounting - H
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Academic Research Papers 15
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Khodayar Abili and Mahyar Abili The
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Khodayar Abili and Mahyar Abili Nah
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Khodayar Abili and Mahyar Abili Tim
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Knowledge Transfer in Romanian Univ
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Simona Agoston et al. Table 1: Know
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Simona Agoston et al. homoscedastic
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Simona Agoston et al. included in <
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A Modeling Approach to Intellectual
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Eckhard Ammann (referring to <stron
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Eckhard Ammann Figure 2: The IC spa
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Eckhard Ammann section 2. They are
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Eckhard Ammann From an overall pers
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Sorin Anagnoste and Gabriela Dumitr
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Gabriela Atanasiu and Florin Leon T
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Gabriela Atanasiu and Florin Leon
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Gabriela Atanasiu and Florin Leon B
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Gabriela Atanasiu and Florin Leon a
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Developing and Implementing Strateg
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2. Technology, faculty, and staff B
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Learning programs Individual poten
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Bob Barrett facts with the<
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Intellectual Capital Dynamics withi
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Ruxandra Bejinaru and Stefan Iordac
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Education and Training Practice Str
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Andrea Bencsik et al. We wanted to
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Andrea Bencsik et al. In this sampl
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Table 4: Types of
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References Andrea Bencsik et al. An
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Ayşen Berberoğlu and Emine Ünar
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Ayşen Berberoğlu and Emine Ünar
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Table 7: Descriptive statistics Ay
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Knowledge Dynamics Modeling Using A
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Constantin Bratianu et al. will hav
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Constantin Bratianu et al. 5. a) Gi
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Constantin Bratianu et al. 5. Data
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Constantin Bratianu et al. Nissen,
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2. Technology and infrastructure Sh
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Sheryl Buckley and Apostolos Gianna
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Donley Carrington and Mike Tayles t
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Donley Carrington and Mike Tayles f
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Donley Carrington and Mike Tayles l
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Donley Carrington and Mike Tayles i
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Donley Carrington and Mike Tayles G
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John Dumay and Jim Rooney on a more
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John Dumay and Jim Rooney Taking <s
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John Dumay and Jim Rooney “For ex
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John Dumay and Jim Rooney Mouritsen
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Marziye Ehrami et al. 1. Creation
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Marziye Ehrami et al. Note: In 2005
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Earnings Quality and Othe</
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Magdi El-Bannany resource-based per
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Magdi El-Bannany Based on this argu
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Magdi El-Bannany Table 2: Descripti
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Magdi El-Bannany variable equal to
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Magdi El-Bannany Edvinsson, L. & Ma
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Ahmed Elsetouhi and Ibrahim Elbelta
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Albrecht Fritzsche and Rebecca Geig
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Table 4: Applicability of</
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S&P 500 Market Cap ($ billions) 14,
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Tatiana Garanina and Yana Pavlova T
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Tatiana Garanina and Yana Pavlova I
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Impact of Investme
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Lidia García-Zambrano et al. 2003;
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Lidia García-Zambrano et al. 4.2 P
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Table 7: Goodness of</stron
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Lidia García-Zambrano et al. reaso
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Lidia García-Zambrano et al. Rodri
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Víctor Raúl López Ruiz et al. co
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Víctor Raúl López Ruiz et al. NI
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EI c k i 1 w PC i ic Víctor Raúl
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Víctor Raúl López Ruiz et al. Ta
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Víctor Raúl López Ruiz et al. Co
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Víctor Raúl López Ruiz et al. At
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Maria de Lourdes Machado and Odíli
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Intellectual Capital and Corporate
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Agnes Maciocha when objects in a da
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Agnes Maciocha 4. Presentation <str
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Agnes Maciocha while in the
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Agnes Maciocha Choong K., “Intell
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The Influence of H
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Anca Mândruleanu From the<
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Anca Mândruleanu In Table 2, <stro
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Eliciting Tacit Knowledge From a Do
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Peter Marshall and Damian Gordon MM
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Page 248 and 249: Maurizio Massaro et al. crucial fac
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Page 252 and 253: Maurizio Massaro et al. autonomy <s
Page 254 and 255: Maurizio Massaro et al. Chennal (20
Page 256 and 257: Intellectual Capital Management: Ca
Page 258 and 259: Florinda Matos et al. These models
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Page 262 and 263: Florinda Matos et al. Finally, <str
Page 264 and 265: Florinda Matos et al. The training
Page 266 and 267: Florinda Matos et al. 47. Opinion
Page 268 and 269: Florinda Matos et al. In th
Page 270 and 271: Florinda Matos et al. The Quadrant
Page 272 and 273: Florinda Matos et al. Integrated te
Page 274 and 275: Florinda Matos et al. The networks
Page 276 and 277: Knowledge Management for Knowledge
Page 278 and 279: 3. Our research Ludmila Mládková
Page 280 and 281: Ludmila Mládková organizational s
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Page 284 and 285: Applying the VAIC
Page 286 and 287: Maria Molodchik and Anna Bykova pro
Page 288 and 289: Maria Molodchik and Anna Bykova 2.
Page 290 and 291: Maria Molodchik and Anna Bykova Let
Page 294 and 295: Perspectives on the</strong
Page 296 and 297: Maria Cristina Morariu as we consid
Page 298 and 299: Maria Cristina Morariu Tobin’s q
Page 300 and 301: Maria Cristina Morariu for determin
Page 302 and 303: The Structural Model of</st
Page 304 and 305: Fattah Nazem Ackerley (2006) reveal
Page 306 and 307: Fattah Nazem The research instrumen
Page 308 and 309: Fattah Nazem intellectual capital m
Page 310 and 311: Fattah Nazem Johnson, M.J. (1986) T
Page 312 and 313: Andrei Stefan Nestian organization.
Page 314 and 315: Andrei Stefan Nestian Chaordic syst
Page 316 and 317: Andrei Stefan Nestian environment,
Page 318 and 319: Increasing Knowledge Management Mat
Page 320 and 321: Theodora Ngosi et al. 2.2 Dominatin
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Page 326 and 327: 5. Discussion and summary Theodora
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Page 330 and 331: Bongani Ngwenya late adopters respo
Page 332 and 333: Bongani Ngwenya This paper extends
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Page 336 and 337: Bongani Ngwenya DiMaggio, P. J., an
Page 338 and 339: The Quality of Kno
Page 340 and 341: 5.2 5 4.8 4.6 4.4 4.2 4 3.8 Compete
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Corina Pelau et al. In order to imp
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Hierarchy and Tacit Knowledge in <s
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Ulrica Pettersson and James Nyce in
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Ulrica Pettersson and James Nyce mi
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Katja Pook and Campbell Warden time
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Katja Pook and Campbell Warden futu
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5. Commonalities of</strong
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Katja Pook and Campbell Warden <str
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Katja Pook and Campbell Warden Lazl
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Nicolae Al. Pop et al. satisfaction
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Nicolae Al. Pop et al. the<
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Nicolae Al. Pop et al. satisfaction
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Knowledge Cities: A Portuguese Case
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Katia Rodrigues and Eduardo Tomé
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3. The empirical study 3.1 Methodol
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Table 3: Smart cities - application
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4.3 Suggestions to future work Kati
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Anna Romiti and Daria Sarti 2. Orga
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Anna Romiti and Daria Sarti based o
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Anna Romiti and Daria Sarti Governa
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Anna Romiti and Daria Sarti Therefo
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Anna Romiti and Daria Sarti Valkoka
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Kent Rondeau and Terry Wagar planne
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2.1 Study measures Kent Rondeau and
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Kent Rondeau and Terry Wagar contri
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Kent Rondeau and Terry Wagar Our re
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Intellectual Capital and a Firm’s
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Figure 1: Hypothes
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Helena Santos-Rodrigues et al. Norm
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Helena Santos-Rodrigues et al. To s
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Helena Santos-Rodrigues et al. Our
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Factors Influencing the</st
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Thanaletchumi Sathasivam et al. 2.3
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Thanaletchumi Sathasivam et al. The
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Thanaletchumi Sathasivam et al. gro
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Thanaletchumi Sathasivam et al. The
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Thanaletchumi Sathasivam et al. 11.
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Enhancing IC Formation by Evoking H
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Klaus Bruno Schebesch to portray <s
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Klaus Bruno Schebesch 4. Leaning an
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Klaus Bruno Schebesch We argue in f
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Klaus Bruno Schebesch come
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In Search of key F
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Karen Smits et al. contribution, wi
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Karen Smits et al. Table 1: Correla
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Karen Smits et al. staff feel that
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Marta-Christina Suciu et al. This p
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Marta-Christina Suciu et al. <stron
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Marta-Christina Suciu et al. The qu
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Marta-Christina Suciu et al. This t
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Information and Communication Techn
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Jukka Surakka et al. The participan
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Jukka Surakka et al. people. Commun
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Personal Knowledge Management (PKM)
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Marzena Świgoń provide th
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Marzena Świgoń (number and type <
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Marzena Świgoń measure self-perce
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Eduardo Tomé what we consider to b
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Eduardo Tomé IC. The intervention
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Eduardo Tomé In the</stro
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Eduardo Tomé to stress that <stron
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Eleni Magdalini Vasileiadou et al.
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José María Viedma Marti products
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Sustainable competitive advantage T
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José María Viedma Marti knowledge
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José María Viedma Marti pr<strong
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José María Viedma Marti All <stro
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ICBS I CBS José María Viedma Mart
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José María Viedma Marti Sullivan,
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2. Balanced scorecard framework Ang
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Angelos Vouldis and Angelica Kokkin
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Unclear benefits of</strong
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Angelos Vouldis and Angelica Kokkin
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9. Discussion and conclusions Angel
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The Global Position of</str
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Piotr Wisniewski safeguarding IC vi
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Piotr Wisniewski Figure 2: Ten larg
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Piotr Wisniewski suspected
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Piotr Wisniewski 2) Slow growth in
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Piotr Wisniewski US 3.8 3.8 3.9 4.3
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498
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500
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2. Hypothesis deve
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3.2 Control variables Deborah Brans
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Deborah Branswijck and Patricia Eve
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Deborah Branswijck and Patricia Eve
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Korosh Gholami et al. Durkheim beli
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Korosh Gholami et al. The effect <s
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Measure the Unmeas
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Knowledge Capital 5. Efforts for de
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Exclusive use of L
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Emmanouil Gkinoglou from th
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Project Assets Need for synergies Q
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Table 5: Sustainability checklist E
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Emmanouil Gkinoglou The next challe
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Kai Mertins and Ronald Orth generat
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Kai Mertins and Ronald Orth Never<s
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Kai Mertins and Ronald Orth <strong
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Ad 2 Structure of
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Kai Mertins and Ronald Orth Hauff,
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Maria Simonova “Concept o
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Maria Simonova The concept regardin
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Maria Simonova Becker, G. S. (1983)
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2. The aim of appl
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Nellija Titova W+I+DP+D+T+M+R (equa
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Nellija Titova performing better. I
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5. Conclusions and furthe</
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Nellija Titova Annex 2: Summary on
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Meaning in the tab
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Krishanthi Ganga Vithana et al. for
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Krishanthi Ganga Vithana et al. sti
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5. Conclusion Krishanthi Ganga Vith
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562
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564
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The Tobing Knowledge Management Arc
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Paul Lumbantobing et al. user, know
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Paul Lumbantobing et al. people con
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Paul Lumbantobing et al. influence
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Develop KM Strategy Description Dev
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Paul Lumbantobing et al. In <strong
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Yuli Purwanti et al. Figure 1: Imag
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Yuli Purwanti et al. Table below is
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582
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584
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Nargiza Abdullaeva and Campbell War
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Andreea Feraru and Nicoleta Ciucesc
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Roxana Mironescu This could be <str
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Roxana Mironescu Daft, R.L. (2002)
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Paloma Sánchez and Oihana Basilio
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Evaluating Intellectual Capital Usi
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Table 1. CRS input efficiency score
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Stelian Stancu and Anca Domnica Lup
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José Vale et al. However, it is im
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José Vale et al. Pöyhönen, A. an
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