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Identifying key knowledge clusters by using social network analysis – a case study of Firmenich SA

Georgiev, Petar LU (2017) EKHM52 20171
Department of Economic History
Abstract
In an innovation-driven economy, intangible assets (such as the information embodied in the relations between parties) are considered critical to the creation of new services and products. Still, innovation is viewed as a “black box” by managers, scholars and policymakers. In efforts to provide a better understanding of this process, this thesis shows a case study of the largest, privately-owned fragrance and flavor producers in the world – Firmenich SA.

By employing their patent data the research provides support for the knowledge-based theory and portrays social network analysis as a promising tool for the identification of knowledge clusters.

Consequently, the thesis identifies ten general knowledge agglomerations within the... (More)
In an innovation-driven economy, intangible assets (such as the information embodied in the relations between parties) are considered critical to the creation of new services and products. Still, innovation is viewed as a “black box” by managers, scholars and policymakers. In efforts to provide a better understanding of this process, this thesis shows a case study of the largest, privately-owned fragrance and flavor producers in the world – Firmenich SA.

By employing their patent data the research provides support for the knowledge-based theory and portrays social network analysis as a promising tool for the identification of knowledge clusters.

Consequently, the thesis identifies ten general knowledge agglomerations within the company and relates them to three categories: (1) type of innovation; (2) knowledge sources; (3) and attitude towards innovation. Based on these findings the study suggests a model for tackling innovation for high-tech organizations of similar size to Firmenich, in the chemical industries. The model allows the manager to choose the appropriate governance approach according to the decomposability and urgency of the identified issue. (Less)
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author
Georgiev, Petar LU
supervisor
organization
course
EKHM52 20171
year
type
H2 - Master's Degree (Two Years)
subject
keywords
Innovation, knowledge-sourcing, social network analysis
language
English
id
8914547
date added to LUP
2017-08-07 11:49:25
date last changed
2017-08-07 11:49:25
@misc{8914547,
  abstract     = {In an innovation-driven economy, intangible assets (such as the information embodied in the relations between parties) are considered critical to the creation of new services and products. Still, innovation is viewed as a “black box” by managers, scholars and policymakers. In efforts to provide a better understanding of this process, this thesis shows a case study of the largest, privately-owned fragrance and flavor producers in the world – Firmenich SA.

By employing their patent data the research provides support for the knowledge-based theory and portrays social network analysis as a promising tool for the identification of knowledge clusters.

Consequently, the thesis identifies ten general knowledge agglomerations within the company and relates them to three categories: (1) type of innovation; (2) knowledge sources; (3) and attitude towards innovation. Based on these findings the study suggests a model for tackling innovation for high-tech organizations of similar size to Firmenich, in the chemical industries. The model allows the manager to choose the appropriate governance approach according to the decomposability and urgency of the identified issue.},
  author       = {Georgiev, Petar},
  keyword      = {Innovation,knowledge-sourcing,social network analysis},
  language     = {eng},
  note         = {Student Paper},
  title        = {Identifying key knowledge clusters by using social network analysis – a case study of Firmenich SA},
  year         = {2017},
}