Proceedings of the 3rd European Conference on Intellectual Capital

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Donley Carrington and Mike Tayles level (∆Χ 2 , 3 d.f. = 5.337) whereas <strong>the</strong> Χ 2 difference test between <strong>the</strong> full mediation and <strong>the</strong> direct effects models was significant at <strong>the</strong> p < 0.05 level (∆Χ 2 , 1 d.f. = 6.282). The full mediation model was <strong>the</strong> preferred model and used to test for mediation based on Hair et al (2006) approach. The results <strong>of</strong> <strong>the</strong> measurement model revealed, <strong>the</strong> standardized regression weights for <strong>the</strong> manifest variables exceeded 0.5, positive error variances, and 13 <strong>of</strong> <strong>the</strong> 14 critical ratios were significant at <strong>the</strong> p
Donley Carrington and Mike Tayles In evaluating measurement <strong>of</strong> IC as a mediating variable table 6 presents <strong>the</strong> standardized path coefficients for <strong>the</strong> paths between <strong>the</strong> mediator measurement <strong>of</strong> IC and <strong>the</strong> components <strong>of</strong> IC and <strong>the</strong> dependent variable performance. Table 6: Standardized path coefficients for measurement <strong>of</strong> IC Independent Variable Step 1 Perceived performance Standardized Path coefficients (given if significant at 0.05 or less) Step 2 Measurement <strong>of</strong> IC Dependent variable Step 3 Perceived performance Interpretation HC .220 * .092 (ns) .197 * No mediation RC .250 * -.313 * -.093 (ns) Full mediation SC .583 * .731 * .229 * Partial mediation Mediator Measurement <strong>of</strong> IC .318 * Significance achieved mediation is possible * significant at 0.05 or less Step 1 – Path coefficients between HC, RC and SC and performance Step 2 – Path coefficients between HC, RC and SC and measurement <strong>of</strong> IC (mediator) Step 3 – Path coefficients between HC, RC and SC and performance with measurement <strong>of</strong> IC as mediator The non-significant path between measurement <strong>of</strong> IC and HC would indicate that <strong>the</strong>re is no mediatory role <strong>of</strong> measurement <strong>of</strong> IC between HC and performance. The non-significant path between RC and performance in step 3, while <strong>the</strong> paths between RC and measurement <strong>of</strong> IC in step 2 and between RC and performance in step 1 are significant this would indicate full mediation. In <strong>the</strong> case <strong>of</strong> SC and measurement <strong>of</strong> IC being a mediator, all three paths are significant at <strong>the</strong> 0.05 or less level toge<strong>the</strong>r with <strong>the</strong> standardized path coefficient in step 1 being higher than in step 3 this supports a hypo<strong>the</strong>sis <strong>of</strong> partial mediation. HC had a direct positive effect on Performance as <strong>the</strong> standardized parameter estimate between <strong>the</strong> two constructs was 0.197 with a critical ratio <strong>of</strong> 2.124 and a p-value <strong>of</strong> 0.034. This finding corroborates that <strong>of</strong> Youndt and Snell (2004) who reported in <strong>the</strong>ir study that HC was significantly related to performance (β= 0.211, p
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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
Page 84 and 85: Bob Barrett facts with the<
Page 86 and 87: Intellectual Capital Dynamics withi
Page 88 and 89: Ruxandra Bejinaru and Stefan Iordac
Page 94 and 95: Education and Training Practice Str
Page 96 and 97: Andrea Bencsik et al. We wanted to
Page 98 and 99: Andrea Bencsik et al. In this sampl
Page 100 and 101: Table 4: Types of
Page 102 and 103: References Andrea Bencsik et al. An
Page 104 and 105: Ayşen Berberoğlu and Emine Ünar
Page 106 and 107: Ayşen Berberoğlu and Emine Ünar
Page 108 and 109: Table 7: Descriptive statistics Ay
Page 110 and 111: Knowledge Dynamics Modeling Using A
Page 112 and 113: Constantin Bratianu et al. will hav
Page 114 and 115: Constantin Bratianu et al. 5. a) Gi
Page 116 and 117: Constantin Bratianu et al. 5. Data
Page 118 and 119: Constantin Bratianu et al. Nissen,
Page 120 and 121: 2. Technology and infrastructure Sh
Page 122 and 123: Sheryl Buckley and Apostolos Gianna
Page 130 and 131: Donley Carrington and Mike Tayles t
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Page 136 and 137: Donley Carrington and Mike Tayles i
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Page 140 and 141: John Dumay and Jim Rooney on a more
Page 142 and 143: John Dumay and Jim Rooney Taking <s
Page 144 and 145: John Dumay and Jim Rooney “For ex
Page 146 and 147: John Dumay and Jim Rooney Mouritsen
Page 148 and 149: Marziye Ehrami et al. 1. Creation
Page 150 and 151: Marziye Ehrami et al. Note: In 2005
Page 152 and 153: Earnings Quality and Othe</
Page 154 and 155: Magdi El-Bannany resource-based per
Page 156 and 157: Magdi El-Bannany Based on this argu
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Page 162 and 163: Magdi El-Bannany Edvinsson, L. & Ma
Page 164 and 165: Ahmed Elsetouhi and Ibrahim Elbelta
Page 174 and 175: Albrecht Fritzsche and Rebecca Geig
Page 178 and 179: Table 4: Applicability of</
Page 182 and 183: 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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Peter Marshall and Damian Gordon re
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Peter Marshall and Damian Gordon ar
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Peter Marshall and Damian Gordon Th
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Maurizio Massaro et al. crucial fac
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Maurizio Massaro et al. exclusive (
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Maurizio Massaro et al. autonomy <s
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Maurizio Massaro et al. Chennal (20
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Intellectual Capital Management: Ca
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Florinda Matos et al. These models
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Complaints System dos clients New
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Florinda Matos et al. Finally, <str
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Florinda Matos et al. The training
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Florinda Matos et al. 47. Opinion
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Florinda Matos et al. In th
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Florinda Matos et al. The Quadrant
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Florinda Matos et al. Integrated te
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Florinda Matos et al. The networks
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Knowledge Management for Knowledge
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3. Our research Ludmila Mládková
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Ludmila Mládková organizational s
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Ludmila Mládková mentioned only b
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Applying the VAIC
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Maria Molodchik and Anna Bykova pro
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Maria Molodchik and Anna Bykova 2.
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Maria Molodchik and Anna Bykova Let
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Maria Molodchik and Anna Bykova The
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Perspectives on the</strong
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Maria Cristina Morariu as we consid
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Maria Cristina Morariu Tobin’s q
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Maria Cristina Morariu for determin
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The Structural Model of</st
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Fattah Nazem Ackerley (2006) reveal
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Fattah Nazem The research instrumen
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Fattah Nazem intellectual capital m
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Fattah Nazem Johnson, M.J. (1986) T
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Andrei Stefan Nestian organization.
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Andrei Stefan Nestian Chaordic syst
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Andrei Stefan Nestian environment,
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Increasing Knowledge Management Mat
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Theodora Ngosi et al. 2.2 Dominatin
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Theodora Ngosi et al. Figure 1: Del
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Theodora Ngosi et al. IT systems, a
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5. Discussion and summary Theodora
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Theodora Ngosi et al. Weill, P., an
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Bongani Ngwenya late adopters respo
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Bongani Ngwenya This paper extends
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Bongani Ngwenya argument, t
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Bongani Ngwenya DiMaggio, P. J., an
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The Quality of Kno
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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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