Proceedings of the 3rd European Conference on Intellectual Capital

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Florinda Matos et al. The Quadrant Individual Capital, Team Capital and Processes Capital are related to <strong>the</strong> company's internal environment, <strong>the</strong> Quadrant Clients Capital is related to <strong>the</strong> external environment. ICM parameters are: Use <strong>of</strong> New Technologies <strong>of</strong> Information and Communication – NTIC Use <strong>of</strong> Networks Individual Capital Quadrant Training / Qualification and Talent management Valuation <strong>of</strong> Know - How and Innovation Investment in Innovation and Development (ID) Existence <strong>of</strong> a Policy for Talent Retention Team Capital Quadrant Training / Qualification Team Work Innovation in teams Leadership in teams Processes Capital Quadrant Processes Systematization Registration <strong>of</strong> Organizational Knowledge Existence <strong>of</strong> Certification, environmental and social policies Partnerships Investment in Innovation and Development (ID) The Brands Creation and Management Complaints System The existence <strong>of</strong> Awards Clients Capital Quadrant Market Audits Management <strong>of</strong> <strong>the</strong> Clients' Satisfaction Complaints System dos clients New Markets It should be noted that <strong>the</strong> ICM is a dynamic model and <strong>the</strong>refore it is not a completely stabilized model. Moreover, as its application will be implemented in more companies, fur<strong>the</strong>r adjustments may 254
Florinda Matos et al. be required. Indeed, this is one <strong>of</strong> <strong>the</strong> advantages <strong>of</strong> this model: its interactive dynamism, which has proven to be very good in turbulent business contexts. 3. Empirical research This survey was conducted in 2010 in a large Portuguese company, in <strong>the</strong> area/sector <strong>of</strong> <strong>the</strong> meat industry. The company studied works in <strong>the</strong> area/sector <strong>of</strong> fresh meat products, cutting <strong>of</strong> casings (pork, lamb and goat), slicing <strong>of</strong> parts (pork, beef, veal, lamb and goat), and preparation <strong>of</strong> minced, prepared and marinated meat as well as its packaging. The company has a total <strong>of</strong> 540 employees, 350 permanent and <strong>the</strong> rest/remaining in temporary work. This research aims to discuss <strong>the</strong> importance <strong>of</strong> intellectual capital management in <strong>the</strong> food sector. We used <strong>the</strong> single case study methodology according Yin (2003) associated with Intellectual Capital Model (Matos and Lopes, 2009). We have considered this model appropriate to audit intellectual capital management. According to Yin (2003, p. 39-40) case studies can be single or multiple drawings. Single case studies are ideal for cases <strong>of</strong> revelation. The case study is an excellent tool when we want to understand a reality and for defining future paths <strong>of</strong> research. Regarding <strong>the</strong> pr<strong>of</strong>ile <strong>of</strong> respondents, we examined <strong>the</strong> leader's vision. Similarly to Yin (2003, p.99) this empirical study will follow <strong>the</strong> triangulation <strong>of</strong> data. This triangulation will be supported by ga<strong>the</strong>ring information from different data sources in order to verify if <strong>the</strong> same sources corroborate <strong>the</strong> same phenomenon. As criteria <strong>of</strong> quality research, we shall consider <strong>the</strong> four tests referred by Yin (2003, p. 34): construct validity, internal validity, external validity and reliability. Following <strong>the</strong> methodological procedures set out above, we used content analysis, according to Bardin (2009) with <strong>the</strong> following steps <strong>of</strong> content analysis: pre-analysis, content analysis, processing <strong>of</strong> <strong>the</strong> results interpretation. As one <strong>of</strong> <strong>the</strong> techniques mentioned by several authors, <strong>the</strong> analysis <strong>of</strong> categories, according to Bardin (2009) is <strong>the</strong> technique used in this research. We started by defining <strong>the</strong> categories guiding <strong>the</strong> questions asked to respondents, followed by <strong>the</strong> analysis <strong>of</strong> <strong>the</strong> collected material for interpretation <strong>of</strong> <strong>the</strong> dominant <strong>the</strong>mes in each category. The Guidelines had been designed, taking into account three levels <strong>of</strong> analysis: (A) Level 1 - Quadrants (B) Level 2 - Parameters (C) Level 3 - Overall organization <strong>of</strong> ICM. To follow <strong>the</strong>se methodological procedures, we proceeded to <strong>the</strong> full transcript <strong>of</strong> <strong>the</strong> interviews. Afterwards, <strong>the</strong> data was categorized according to <strong>the</strong> categories and subcategories defined a priori. 4. Results The data analysis allowed us to verify that new technologies are very important in <strong>the</strong> company. New technologies enable <strong>the</strong> improvement <strong>of</strong> processes, <strong>the</strong> identification <strong>of</strong> new work patterns and new information systems, in order to constantly improve <strong>the</strong> industry performance. Never<strong>the</strong>less, only approximately 10% <strong>of</strong> <strong>the</strong> employees use <strong>the</strong> new technologies. 255
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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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Maria de Lourdes Machado and Odíli
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Page 222 and 223: Intellectual Capital and Corporate
Page 224 and 225: Agnes Maciocha when objects in a da
Page 226 and 227: Agnes Maciocha 4. Presentation <str
Page 228 and 229: Agnes Maciocha while in the
Page 230 and 231: Agnes Maciocha Choong K., “Intell
Page 232 and 233: The Influence of H
Page 234 and 235: Anca Mândruleanu From the<
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Page 238 and 239: Eliciting Tacit Knowledge From a Do
Page 240 and 241: Peter Marshall and Damian Gordon MM
Page 242 and 243: Peter Marshall and Damian Gordon re
Page 244 and 245: Peter Marshall and Damian Gordon ar
Page 246 and 247: Peter Marshall and Damian Gordon Th
Page 248 and 249: Maurizio Massaro et al. crucial fac
Page 250 and 251: Maurizio Massaro et al. exclusive (
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
Page 260 and 261: Complaints System dos clients New
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 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
Page 282 and 283: Ludmila Mládková mentioned only b
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 292 and 293: Maria Molodchik and Anna Bykova The
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
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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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