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Simulating Knowledge Dynamics in Innovation Networks: An Introduction Read chapter Read first chapter

2014 | OriginalPaper | Chapter

2. Firm-Level Business Strategies and the Evolution of Innovation Networks in the Nordic Internet Service Industry

Authors : Martin Blom, Jarle Moss Hildrum

Published in: Simulating Knowledge Dynamics in Innovation Networks

Publisher: Springer Berlin Heidelberg

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Abstract

This chapter addresses how micro-level preferences and decisions about collaboration made by a large number of heterogeneous firms can affect the macro-level evolution of inter-firm networks and the structure of industrial knowledge bases. We conduct the analysis by way of an agent-based model (ABM) that mimics key stylized facts about firm-level business strategies and innovation networking in the Nordic internet service provider (ISP) industry.
To develop the model, we make use of an existing ABM—Simulating Knowledge Dynamics in Innovation Networks (SKIN) and to visualize the results we use the social network analysis software Gephi. As a means of improving the empirical validity of the model, we iteratively presented and modified the model through a sequence of discussions with strategic analysts at Telenor, a large Norwegian internet service provider.
The paper suggests that the adoption by many firms of a collaboration-oriented and explorative innovation strategy facilitates the evolution of a densely connected regional network in which the participant firms gradually build complex but increasingly similar knowledge bases. By contrast, the adoption by many firms of more internally oriented and exploitative innovation strategies facilitates the emergence of less densely connected networks in which the knowledge bases of the firms are less complex and more heterogeneous. This latter outcome appears to have more beneficial implications for the competitive performance of smaller specialized firms, and for the novelty-generation potential of the industry as a whole.

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previous chapter Simulating Knowledge Dynamics in Innovation Networks: An Introduction
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Footnotes
1
The Réseaux IP Européens Network Coordination Centre (RIPE) is the Regional Internet Registry (RIR) for Europe. As a RIR, RIPE oversees the allocation and registration of Autonomous System (AS) Numbers) in European countries. This is relevant in the context of our study since firms need AS numbers in order to independently sell Internet access capacity, and thus operate as ISPs. On RIPEs website (http://​www.​ripe.​net/​), there is a publicly available database of organizations with AS numbers that operate in the Nordic countries.
 
2
These are Statistics Norway, Statistics Finland, Statistics Denmark and Statistics Sweden.
 
3
An autonomous system is one Internet protocol (IP) network or sets of networks under a single administrative control. Companies and organizations might own more than one autonomous system, but the idea is that each autonomous system is managed independently. Autonomous System Numbers (ASNs) are globally unique numbers that are used to identify autonomous systems (ASes) and which enable an organization to route its own Internet traffic and to trade Internet access capacity. ASNs are administered and distributed by five non-profit organizations called regional Internet registries (one for each continent).
 
4
An edge is a link between two nodes (firms). A tie, as defined earlier, between two firms is represented by an edge between two nodes.
 
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Metadata
Title
Firm-Level Business Strategies and the Evolution of Innovation Networks in the Nordic Internet Service Industry
Authors
Martin Blom
Jarle Moss Hildrum
Copyright Year
2014
Publisher
Springer Berlin Heidelberg
Book
Simulating Knowledge Dynamics in Innovation Networks

Print ISBN: 978-3-662-43507-6

Electronic ISBN: 978-3-662-43508-3

Copyright Year: 2014

DOI
https://doi.org/10.1007/978-3-662-43508-3_2