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2014 | Buch

Innovation Network Functionality

The Identification and Categorization of Multiple Innovation Networks

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Regional developers and network administrators are proud of having the largest number of registered network participants and clicks on their internet platform. However, what ultimately counts are the real business contacts that lead to additional sales, sustainable supplier-relationships, or to innovation projects leading to sustainable competitive advantages for companies and regions. Thomas Bentivegna focuses on ad-hoc networks, which are poorly represented in existing network and innovation literature. He identifies, classifies and categorizes different innovation network types operating in 5 European countries (Switzerland, Germany, England, Ireland, and France) based on data collected from 28 firms. He shows how a basic understanding of the types of innovation networks which are operating in North-West Europe, as well as the typical firm profile for each one, can be an effective tool in helping to support the agenda of several different key innovation actors.

Inhaltsverzeichnis

Frontmatter
1. Introduction
Abstract
The first chapter of this Master Thesis outlines the background and starting position of this research project, as well as a description of the principle, KARIM. Moreover, the research problem, objectives, purpose, research questions, scope, and structure are presented.
Thomas Bentivegna
2. Literature Review
Abstract
As a central feature of this Master Thesis, a literature review of two main topics was conducted. The two main topics researched were Innovation Networks and Knowledge Transfer.Through the analysis of existing literature, two objectives were pursued:
1.
To illustrate state-of-the-art theories in both fields. This includes an extensive analysis of the definitions, motivations, benefits, and barriers to firms in both areas of research.
 
2.
To identify gaps in the existing research and where this study can fill those gaps and contribute to the general discussion in both areas of research.
 
Thomas Bentivegna
3. Methodology
Abstract
The selection of a suitable methodology to accompany any research is an essential component which heavily influences and steers the undertaking towards the ultimate outcome. The methods chosen for this Master Thesis were based on linkages to theory and practical experiences. Therefore, the following chapter will provide an overview to how the empirical research process was conducted.
Thomas Bentivegna
4. Research Process
Abstract
In the following chapter, the research process is expanded upon. Issues which could undermine the credibility and value of this Master Thesis are explored, as well as various ethical and other considerations.
Thomas Bentivegna
5. Results Perspective One : Network Perspective
Abstract
The following chapter will answer Research Question 1, or from the perspective of the networks as a whole. The individual firm perspective which operate within these networks will be explored in Chapter 6 (Results Perspective Two).
Thomas Bentivegna
6. Results Perspective Two : Firm Perspective
Abstract
The following chapter will answer Research Question 2, or from the perspective of the individual firms which operate within the existing innovation networks identified and described in Chapter 5 (Results Perspective One).
Thomas Bentivegna
7. Implications and Conclusion
Abstract
The final chapter of this Master Thesis will present a brief summary as to what was explored in the previous chapters, as well as the theoretical and practical implications which the results could potentially have. Finally, recommendations are given as to how this research could be expanded upon and continued by other researchers.
Thomas Bentivegna
Backmatter
Metadaten
Titel
Innovation Network Functionality
verfasst von
Thomas Bentivegna
Copyright-Jahr
2014
Electronic ISBN
978-3-658-04579-1
Print ISBN
978-3-658-04578-4
DOI
https://doi.org/10.1007/978-3-658-04579-1