Identifying and exploiting the collaboration factors inside SMEs networks

Present research introduces a procedure for the analysis of the collaborative behaviour inside industry networks. Collaboration is seen as a collection of factors, each of them boosting competitive advantages to industry networks of small and medium enterprises (SMEs). The distinctiveness of the research is that there is not a preliminary choice of the technical and organising factors that contribute to establish any forms of collaboration among the SMEs. As there is a large number of typologies among the industry networks, it has been necessary to highlight the common features and the main interactions with the inside and the outside of the network by building a meta-model of the network organisation. Collaboration factors were extracted applying the non-linear principal components analysis to a large set of data collected by the EU project CODESNET. The extracted collaboration factors become the entries of a modified SWOT analysis. The result of the process is the evaluation of the potential directions of collaboration independent from the specific network type.

[1]  R. Kaplan,et al.  The Balanced Scorecard: Translating Strategy into Action , 1996 .

[2]  Ivana Paniccia,et al.  The performance of IDs. Some insights from the Italian case , 1999 .

[3]  Dario Antonelli,et al.  Analysing collaborative demand and supply networks of SMEs , 2006, Int. J. Netw. Virtual Organisations.

[4]  C. Hardy,et al.  Inter-organizational collaboration and the dynamics of institutional fields , 2002 .

[5]  Ernst Verwaal,et al.  Drivers of Supply Network Governance: An Explorative Study of the Dutch Chemical Industry. , 2004 .

[6]  Silvia Fabiani,et al.  Un'analisi quantitativa delle imprese nei distretti industriali italiani: redditività, produttività e costo del lavoro , 1998 .

[7]  Edward M. Bergman,et al.  Industrial and Regional Clusters: Concepts and Comparative Applications , 1999 .

[8]  Anne Nagel,et al.  The Balanced Scorecard Translating Strategy Into Action , 2002 .

[9]  R. Kaplan,et al.  The balanced scorecard--measures that drive performance. , 2015, Harvard business review.

[10]  John W. Priest,et al.  A framework for an integrated supply chain performance management system , 2004 .

[11]  A. Winder,et al.  An Evolving Definition of Collaboration and Some Implications for the World of Work , 1977 .

[12]  I. Jolliffe,et al.  Nonlinear Multivariate Analysis , 1992 .

[13]  H. Håkansson Technological collaboration in industrial networks , 1990 .

[14]  Peter C. Brewer,et al.  USING THE BALANCED SCORECARD TO MEASURE SUPPLY CHAIN PERFORMANCE. , 2000 .

[15]  Dario Antonelli,et al.  A Road Map to the Development of European SME Networks: Towards Collaborative Innovation , 2009 .

[16]  Vito Albino,et al.  Enterprise input–output model for local sustainable development—the case of a tiles manufacturer in Italy , 2004 .

[17]  F. Molina-Morales European industrial districts: Influence of geographic concentration on performance of the firm , 2001 .

[18]  Jack P. C. Kleijnen,et al.  Performance metrics in supply chain management , 2003, J. Oper. Res. Soc..

[19]  T. Lau,et al.  Assessing technology incubator programs in the science park : the good, the bad and the ugly , 2005 .

[20]  Denis Royston Towill,et al.  Proven BPR trajectories for effective supply chain change management , 2003 .

[21]  Yves Ducq,et al.  Comparison of methods and frameworks to evaluate the performance of supply chains , 2005 .

[22]  B. Gray,et al.  Toward a Comprehensive Theory of Collaboration , 1991 .

[23]  Lars-Erik Gadde,et al.  Strategizing in Industrial Networks , 2003 .

[24]  L. F. Signorini THE PRICE OF PRATO, OR MEASURING THE INDUSTRIAL DISTRICT EFFECT , 2005 .

[25]  Agostino Villa - Reinforcing industrial districts: Need for a structured approach , 2006 .

[26]  S. Wasserman,et al.  Advances in Social Network Analysis: Research in the Social and Behavioral Sciences , 1994 .

[27]  R. Kaplan,et al.  PUTTING THE BALANCED SCORECARD TO WORK , 1993 .

[28]  G. Seliger,et al.  Promoting innovative clusters and cooperation networks: the European Commission observatories of SMEs and the context of Berlin-Brandenburg , 2008, Int. J. Netw. Virtual Organisations.

[29]  P. Picard,et al.  Regional asymmetries: economies of agglomeration versus unionized labor markets , 2003 .

[30]  T. Khanna,et al.  Do Firms Learn to Create Value? The Case of Alliances , 2000 .

[31]  Willem J. Heiser,et al.  Principal Components Analysis With Nonlinear Optimal Scaling Transformations for Ordinal and Nominal Data , 2005 .