Doing science with simulation : building an innovation network

Sara M. Denize; Doina Olaru; Sharon Purchase; Maree Thyne; Kenneth R. Deans; Juergen Gnoth

Doing science with simulation : building an innovation network

Sara M. Denize, Doina Olaru, Sharon Purchase, Maree Thyne, Kenneth R. Deans, Juergen Gnoth

Research output: Chapter in Book / Conference Paper › Conference Paper

Abstract

Researching business innovation networks is problematic. It is difficult to secure cooperation for such research and even with cooperation it is not easy to secure data required to understand these complex systems. This paper demonstrates an approach to understanding such complex adaptive systems using simulation and fuzzy sets (FS) "” in short an alternative to the deductive and inductive modes of 'doing science'. We superimpose simulation on FS to build a model of innovation networks. The model shows how network links, bonds and ties impact on innovation performance, the data from which can be used for theory building.

Original language	English
Title of host publication	Australian and New Zealand Marketing Academy (ANZMAC) Conference 2007
Publisher	University of Otago
Number of pages	9
ISBN (Print)	9781877156299
Publication status	Published - 2007
Event	Australian and New Zealand Marketing Academy Conference - Duration: 1 Dec 2013 → …

Conference

Conference	Australian and New Zealand Marketing Academy Conference
Period	1/12/13 → …

Keywords

fuzzy sets
business networks
technological innovations
simulation methods
research

Cite this

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title = "Doing science with simulation : building an innovation network",

abstract = "Researching business innovation networks is problematic. It is difficult to secure cooperation for such research and even with cooperation it is not easy to secure data required to understand these complex systems. This paper demonstrates an approach to understanding such complex adaptive systems using simulation and fuzzy sets (FS) {"}” in short an alternative to the deductive and inductive modes of 'doing science'. We superimpose simulation on FS to build a model of innovation networks. The model shows how network links, bonds and ties impact on innovation performance, the data from which can be used for theory building.",

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AU - Denize, Sara M.

AU - Olaru, Doina

AU - Purchase, Sharon

AU - Thyne, Maree

AU - Deans, Kenneth R.

AU - Gnoth, Juergen

PY - 2007

Y1 - 2007

N2 - Researching business innovation networks is problematic. It is difficult to secure cooperation for such research and even with cooperation it is not easy to secure data required to understand these complex systems. This paper demonstrates an approach to understanding such complex adaptive systems using simulation and fuzzy sets (FS) "” in short an alternative to the deductive and inductive modes of 'doing science'. We superimpose simulation on FS to build a model of innovation networks. The model shows how network links, bonds and ties impact on innovation performance, the data from which can be used for theory building.

AB - Researching business innovation networks is problematic. It is difficult to secure cooperation for such research and even with cooperation it is not easy to secure data required to understand these complex systems. This paper demonstrates an approach to understanding such complex adaptive systems using simulation and fuzzy sets (FS) "” in short an alternative to the deductive and inductive modes of 'doing science'. We superimpose simulation on FS to build a model of innovation networks. The model shows how network links, bonds and ties impact on innovation performance, the data from which can be used for theory building.

KW - fuzzy sets

KW - business networks

KW - technological innovations

KW - simulation methods

KW - research

UR - http://handle.uws.edu.au:8081/1959.7/40927

M3 - Conference Paper

SN - 9781877156299

BT - Australian and New Zealand Marketing Academy (ANZMAC) Conference 2007

PB - University of Otago

T2 - Australian and New Zealand Marketing Academy Conference

Y2 - 1 December 2013

ER -

Doing science with simulation : building an innovation network

Abstract

Conference

Keywords

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