Proceedings of the 3rd European Conference on Intellectual Capital

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Building an IC Based Model for <strong>the</strong> Evaluation <strong>of</strong> <strong>the</strong> Innovation Capacity <strong>of</strong> KIBS Paloma Sánchez and Oihana Basilio Autonomous University <strong>of</strong> Madrid, Spain mpaloma.sanchez@uam.es oihana.basilio@uam.es Abstract: This research in progress aims to elaborate a model to assess <strong>the</strong> innovation capacity <strong>of</strong> knowledge intensive business services (KIBS), testing it by evaluating a large service company in Spain and later revisiting it with additional KIBS. Based on a thorough literature review, a first Model has been elaborated and a questionnaire designed to provide qualitative and quantitative information about intellectual capital related to innovation. The <strong>the</strong>oretical background lies on <strong>the</strong> resource-based view <strong>of</strong> <strong>the</strong> firm (RBV) and its outgrowth, <strong>the</strong> knowledge-based view (KBV). The Model has been applied to a large service company, by conducting structured interviews with a broad range <strong>of</strong> employees, and complementing it with documentary analysis. In future steps, <strong>the</strong> result <strong>of</strong> <strong>the</strong> interviews will be tested by a large survey directed at <strong>the</strong> company employees and, after analyzing <strong>the</strong> results <strong>of</strong> this main case study, <strong>the</strong> Model and <strong>the</strong> questionnaire will be revisited and applied to o<strong>the</strong>r KIBS companies. The results <strong>of</strong> this research will eventually shed new light on <strong>the</strong> relationships between IC, KM practices and innovation and also on <strong>the</strong> understanding <strong>of</strong> innovation dynamics in KIBS. It will be valuable for advancing in <strong>the</strong> definition <strong>of</strong> IC and innovation capacity management and measurement methods. It will also be useful at micro level, for those service companies aiming to assess and improve <strong>the</strong>ir innovative capacity. The expected end result <strong>of</strong> this long process, is an innovation capacity autoevaluation model, based on <strong>the</strong> analysis <strong>of</strong> <strong>the</strong> IC management <strong>of</strong> service companies. Since <strong>the</strong> present research is a work-in-progress, we will present here <strong>the</strong> qualitative part <strong>of</strong> <strong>the</strong> main case study, describing <strong>the</strong> developed Model, <strong>the</strong> main insights gained through interviews and documentary analysis, and <strong>the</strong> main limitations found so far. Keywords: intellectual capital; innovation; knowledge management; services 1. Introduction This research in progress will be part <strong>of</strong> <strong>the</strong> doctoral <strong>the</strong>sis <strong>of</strong> Oihana Basilio The capacity to systematically innovate is essential for companies aiming to remain competitive, so it is critical to identify <strong>the</strong> variables that will help <strong>the</strong>m develop that capacity and to understand <strong>the</strong>ir proper working. Knowledge and o<strong>the</strong>r intangibles have been recognized to be major sources <strong>of</strong> innovation (Swan et al 1999: 264; Sánchez et al. 2000: 3; Guthrie et al. 2003: 429) and literature on <strong>the</strong>se issues has increased notoriously over <strong>the</strong> last decades (Sánchez et al. 2009), but <strong>the</strong>re is still much work to do, developing methodologies that help organizations identify, measure and manage relevant knowledge and IC for innovation. Moreover, <strong>the</strong> majority <strong>of</strong> studies that analyse <strong>the</strong> influence <strong>of</strong> knowledge management (KM) and IC management (ICM) on innovation focus on a few intangibles and <strong>the</strong>ir effects, such as networking (e.g. Capaldo 2007; Swan et al. 1999), knowledge protection (e.g. Bader 2008; Hurmelinna-Laukkanen and Ritala 2010), creativity (e.g. Henard and McFadyen 2008; Rosa et al. 2008), etc. There are relatively few studies that <strong>of</strong>fer a general perspective, analysing <strong>the</strong> effects <strong>of</strong> a broader set <strong>of</strong> key variables (e.g. Hull et al. 2000). In this sense, this research in progress aims to elaborate a broad model to evaluate <strong>the</strong> innovation capacity <strong>of</strong> knowledge intensive business services (KIBS), based on <strong>the</strong> assessment <strong>of</strong> <strong>the</strong>ir key KM and ICM activities. In order to become a practical tool for auto-evaluation purposes, we aim to a) test <strong>the</strong> model by assessing <strong>the</strong> innovation capacity <strong>of</strong> a service company in Spain, and c) re-test it, after <strong>the</strong> necessary revision, with additional KIBS. The following sections <strong>of</strong>fer an overview <strong>of</strong> <strong>the</strong> <strong>the</strong>oretical framework and research questions (section 1), <strong>the</strong> methodology that is being applied and that is planned for next steps (section 2), some interim results and limitations (section 3), and finally a conclusion with <strong>the</strong> expected value <strong>of</strong> <strong>the</strong> research. 2. Theoretical background and research questions Contrasting with <strong>the</strong> paradigms that locate <strong>the</strong> sources <strong>of</strong> competitive advantage outside <strong>the</strong> company or on a privileged market position, we believe that it lies within firm resources and capabilities (Teece et al. 1997: 510). Many scholars are increasingly focusing on <strong>the</strong> role <strong>of</strong> intangibles and knowledge (e.g. Becker and Zirpoli 2003; Daneels 2002; Collinson and Wilson 2006; Knight and Cavusgil 2004), addressing issues such as internal coordination, organizational structure, <strong>the</strong> role <strong>of</strong> management, 601
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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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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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