Proceedings of the 3rd European Conference on Intellectual Capital

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4.3 Suggestions to future work Katia Rodrigues and Eduardo Tomé Because this subject have pleased me want to expand my study to o<strong>the</strong>r medium sized cities such as Portugal Évora (Alentejo), Faro (Algarve), Coimbra (Beira Litoral), Aveiro (Beira Litoral) and Funchal (Madeira island). All <strong>of</strong> <strong>the</strong>m have o<strong>the</strong>r characteristics different from those found in Braga. Obviously, Portugal is still not at <strong>the</strong> forefront <strong>of</strong> intelligent cities but all cities have <strong>the</strong>ir own specific media and different capabilities. References Albagli, S. (1999) Informação e Globalização na era do conhecimento. Rio de Janeiro: Campus. Braga Digital (www.bragadigital.pt) Castells, M.; Hall, P. (1994) Technopoles <strong>of</strong> <strong>the</strong> world: <strong>the</strong> making <strong>of</strong> twenty-first-century industrial complexes. London: Routledge,. Cassiolato, J.; Szapiro, M. (2002) Arranjos e sistemas produtivos e inovativos locais do Brasil. Rio de Janeiro: UFRJ,. Dahlman, A. (2007),“<strong>European</strong> Cities in <strong>the</strong> Knowledge Economy: Towards a Typology”, Urban Studies, Volume 44, Issue 3, March 2007, pages 525-549. Diario economico 2007: Edigma.com lança empresa nos Estados Unidos (http://diarioeconomico.sapo.pt/edicion/diarioeconomico/nacional/empresas/pt/desarrollo/735390.html) Diniz, C. C. (2001) O papel das inovações e das instituições no desenvolvimento local. In: XXIX ENCONTRO NACIONAL DE ECONOMIA – ANPEC (Associação Nacional do Centros de Pós-graduação em Economia [Brazilian Association <strong>of</strong> Graduate Programs in Economics)...<strong>Proceedings</strong>. Salvador-BA, n. 085,. Duarte, F. (2002) Crise das matrizes espaciais. São Paulo: Perspectiva. Figueiredo, C.; Azevedo, F.; Ribeiro, F.; Proença, M.; Abreu, M.J. (2007) Cidades Inovadoras e Competitivas para o Desenvolvimento Sustentável. Departamento de Prospectiva e Planeamento e Relações Internacionais. Ministério do Ambiente, do Ordenamento do Território e do Desenvolvimento Regional. Lisboa. Florida, R. (2002), The Rise <strong>of</strong> <strong>the</strong> Creative Class, and How It's Transforming Work, Leisure and Everyday Life, New York, Basic Books. Giffinger, R.; Christian F., Hans K., Robert K., Nataša P., Evert M., (2007). "Smart cities – Ranking <strong>of</strong> <strong>European</strong> medium-sized cities". http://www.smart-cities.eu/. Vienna: Centre <strong>of</strong> Regional Science. http://www.smartcities.eu/download/smart_cities_final_report.pdf. Granoveter, M. (1985) Economic action and social structure: <strong>the</strong> problem <strong>of</strong> embeddedness. American Journal <strong>of</strong> Sociology, Chicago, v. 91, n.3. INL, International Iberian Nanotechnology, 2010, (http://www.inl.int) Junior F , (2009); Fatores locais para geração de inovação na economia do conhecimento Komninos, N. (2006), The architecture <strong>of</strong> intelligent cities; Integrating human, collective, and artificial intelligence to enhance knowledge and innovation; 2 nd International <strong>Conference</strong> on Intelligent Environments, Institution <strong>of</strong> Engineering and Technology, A<strong>the</strong>ns, 5-6 July 2006, pp. 13-20 Krugman P. (1991) Geography and trade. Mass: MIT Press, Cambridge Martins, N.; Figueiredo, C.; Azevedo, F.; Ribeiro, F.; Proença, M.; Abreu,, M.J. PDF: PROJECTO “CIDADES INTELIGENTES”(2007) Orientações de Política de Revitalização Urbana para a Competitividade e Sustentabilidade das Cidades Pme online 2010: IDEIA-ATLÂNTICO CRIA CENTRO DE NEGÓCIOS NO NORTE (http://www.pme.online.pt/noticias/detalhes.php?id=280) Primavera 2006: PRIMAVERA entre as 500 com maior potencial de crescimento (http://www.primaverabss.com/pt/PortalRender.aspx?PageID={83e07ddc-6105-4330-998bce386c8231c1}&PressReleaseID={6a914c2e-a483-428b-ae81-761f83ec14da} Sassen, S. (2007)“The Repositioning <strong>of</strong> Cities and Urban Regions in a Global Economy: Pushing Policy and Governance Options”, OECD International <strong>Conference</strong>: What policies for globalising cities? Rethinking <strong>the</strong> urban policy agenda, Madrid,. Statistics Bulgaria (www.nsi.bg) Statistics Luxembourg (www.statistiques.public.lu) Statistics Portugal (www.ine.pt) United Nations Development Program (2007) Human Development, Report 2007(hdr.undp.org) Windem, W. van, Berg, L. van den (2004), Cities in <strong>the</strong> knowledge economy: New governance challendges, Discussion paper, EURICUR, Project STRIKE. World bank 2009 (www.worldbank.org) Governance indicators University <strong>of</strong> Ruse , 2003,Welcome to ruse ,(www.uni-ruse.bg/en/rousse.php 358
Governance <strong>of</strong> Networks <strong>of</strong> Small Enterprises: A Knowledge Perspective - Some Case Studies in <strong>the</strong> Mechanical Industry in Italy Anna Romiti and Daria Sarti University <strong>of</strong> Florence, Italy anna.romiti@unifi.it daria.sarti@unifi.it Abstract: The idea <strong>of</strong> this work stems from <strong>the</strong> growing attention given to networks <strong>of</strong> small specialized firms, as an alternative way <strong>of</strong> governance <strong>of</strong> <strong>the</strong> formal cooperative relations between enterprises in a context <strong>of</strong> market crisis. In this paper we focus on <strong>the</strong> manufacturing networks defined as groups <strong>of</strong> organizations, most <strong>of</strong> <strong>the</strong> time small-sized, that combine <strong>the</strong>ir competencies and knowledge in order to achieve competitive advantages that would be difficult to reach on an individual basis. We focus primarly on concepts drawn from <strong>the</strong> RBV (resourcesbased view) and KBV (Knowledge- based view) <strong>of</strong> firms. These <strong>the</strong>ories suggest that a firm’s competitive advantage comes from idiosyncratic resources and knowledge and its ability to manage, combe and absorbe <strong>the</strong>m. The methodology <strong>of</strong> multiple case studies is used with <strong>the</strong> purpose to understand <strong>the</strong> business success in a SME context. The cases were selected among <strong>the</strong> most significant cases <strong>of</strong> manufacturing networks in <strong>the</strong> mechanical industry in central Italy. The study shows five factors that, according to previous literature, are considered key factors in <strong>the</strong> survival and development <strong>of</strong> networks: Commitment, Governance mechanisms, Proactivity, Broker roles and Absorptive capacity potential. Our aim is to explore factors affecting alliance development and success and particularly those related to differences in two kinds <strong>of</strong> networks: hard and s<strong>of</strong>t networks. On <strong>the</strong> contrary to what emerges in previous evidence, we found some <strong>of</strong> <strong>the</strong> factors considered more relevant in s<strong>of</strong>t than in hard networks. This can be explained because s<strong>of</strong>t network have a higher vocation in exploration than in exploitation that characterizes hard network. These factors are: degree <strong>of</strong> commitment (both economic and behavioral) and degree <strong>of</strong> potential absorptive capacity. At <strong>the</strong> same time, brokership and hierarchical control do not seem to play a different role in <strong>the</strong> two kinds <strong>of</strong> network. Since <strong>the</strong>re is no in-depth analysis for this topic in <strong>the</strong> Italian context, this paper is intended to provide empirical prior evidence for future research as well as <strong>the</strong>oretical insights. From a practical perspective, <strong>the</strong> results <strong>of</strong> <strong>the</strong> survey may provide significant support, in terms <strong>of</strong> managerial and policy implications, about how firms can manage knowledge practices in order to sustain <strong>the</strong> creation <strong>of</strong> successful manufacturing networks in periods <strong>of</strong> crisis. Keywords: manufacturing networks, governance mechanisms, small enterprises, intellectual capital, knowledge management 1. Introduction New trends such as trade liberalization, intensified competition, information and communication technologies, growing significance <strong>of</strong> knowledge as a source <strong>of</strong> value creation and competitive advantage have heavily affected, in <strong>the</strong> last decades, <strong>the</strong> competitive scenario. Due to <strong>the</strong>se challenges, firms, in particular <strong>of</strong> small-size across many sectors, are moving towards <strong>the</strong> adoption <strong>of</strong> new organizational forms founded on cooperative strategies. According to recent literature on SMEs, collaboration among small firms represents a key strategic decision for <strong>the</strong>ir survival and growth and provides a viable means for small-sized enterprises <strong>of</strong> combining resources in order to exploit and explore new business opportunities. Authors have highlighted a relative lack <strong>of</strong> research examining <strong>the</strong> critical factors affecting networking within SMEs (Sherer 2003; Human and Provan 1997; Brunetto and Farr-Wharton, 2007). This, according to Brunetto and Farr-Wharton (2007), both in terms <strong>of</strong> s<strong>of</strong>t/explorative or hard/exploitative networks. The idea <strong>of</strong> this work stems from <strong>the</strong> growing attention given to networks <strong>of</strong> small specialized firms, as an alternative way <strong>of</strong> governance <strong>of</strong> <strong>the</strong> formal cooperative relations between enterprises in a context <strong>of</strong> market crisis. In particular in this paper we will refer to manufacturing networks defined as groups <strong>of</strong> organizations, most <strong>of</strong> time small-sized, that combine <strong>the</strong>ir competencies and knowledge in order to achieve competitive advantage that would be difficult to reach on an individual basis. Our aim in this paper is to explore factors affecting alliance development and success and particularly those related to differences in two kinds <strong>of</strong> networks: hard and s<strong>of</strong>t networks. 359
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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 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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Page 416 and 417: Enhancing IC Formation by Evoking H
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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. 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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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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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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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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Proceedings of the 3rd European Conference on Intellectual Capital

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