Determining the Relationship Between Co-creation and Innovation by Neural Networks

  • Giacomo di Tollo
  • Stoyan Tanev
  • Kassis Mohamed Slim
  • Davide De March
Chapter
Part of the New Economic Windows book series (NEW)

Abstract

The growing complexity of markets, business development and administration has fostered the application of more sophisticated quantitative methods aiming at the analysis of common features and differences amongst different businesses. Amongst those quantitative methods, Neural Networks are gaining support of both practitioners and scholars. This is due to their generalisation capabilities which make them apt to be used without any preliminary assumptions about the variables at hand or about the specific types of the corresponding models. To this extent, we are using them to classify firms w.r.t. the relationship between the perception of their innovativeness and the degree of their involvement in value co-creation activities—the extent to which they involve end users in the definition of their final products and services. We will show that businesses from specific sectors could have a higher degree of involvement in value co-creation. The mapping between the type of firms and the degree of their involvement in value co-creation is of particular interest since they describe attributes and activities and a completely different heuristic level. We have also studied businesses belonging to stock Exchange indexes, which are regarded as the specimen of the economic and financial situation of a Country. Our main contribution will be in translating the applicability of ANN in innovation research.

Keywords

Innovation complexity Value co-creation Artificial Neural Networks (ANN) 

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Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  • Giacomo di Tollo
    • 1
  • Stoyan Tanev
    • 2
  • Kassis Mohamed Slim
    • 3
  • Davide De March
    • 4
    • 5
  1. 1.LISICUniversité du Littoral Cote d’Opale, Maison de la Recherche Blaise PascalCalais CedexFrance
  2. 2.Institute of Technology and Innovation & Centre for Integrative Innovation ManagementUniversity of Southern DenmarkOdense MDenmark
  3. 3.Laboratoire de Recherche Opérationnelle, de Décision et de Controle de ProcessusUniversity of TunisLe BardoTunisia
  4. 4.Department of Environmental Sciences, Informatics and StatisticsCa’ Foscari University of VeniceVeniceItaly
  5. 5.EvoSolutions S.r.l.VeniceItaly

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