Dynamic modelling for the analysis and support of systemic innovations and competition strategies

Research output: ThesisDoctoral ThesisCollection of Articles

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Dynamic modelling for the analysis and support of systemic innovations and competition strategies. / Ruutu, Sampsa.

Aalto University, 2018. 148 p.

Research output: ThesisDoctoral ThesisCollection of Articles

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Ruutu S. Dynamic modelling for the analysis and support of systemic innovations and competition strategies. Aalto University, 2018. 148 p. (Aalto University publication series DOCTORAL DISSERTATIONS; 246).

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@phdthesis{a5dc00b3d9cf43cdb2c83a86c518f76b,
title = "Dynamic modelling for the analysis and support of systemic innovations and competition strategies",
abstract = "The research question of the Dissertation is to look for new possibilities of dynamic modelling related to systemic innovations and competition strategies. The dynamic modelling approaches considered include qualitative and graphical models (causal loop diagrams and stock and flow diagrams) as well as quantitative simulation models (system dynamics and agent based modelling). Simulation modelling is used to show the emergent behaviour due to the interrelationships between parts of a socio-technical system. Dynamic modelling is used as an analysis tool in combination with other tools from the fields of innovation studies and foresight. Methods are developed for evaluating the impacts of innovations with system dynamics modelling. In Article 1, system dynamics modelling is applied to show different impacts of an innovation and the interrelationships between different dimensions of impacts. In Article 2, a participatory process is created for supporting the development and adoption of systemic innovations. In the process developed, system dynamics modelling is combined with foresights tools. Dynamic modelling is also used as a tool for theoretical analysis. The effects of different sources of complexity are studied. Interdependencies between parts of an innovation are examined in Article 3. As indicated by the results, the best way of organising innovative activities depends on the decomposability of the innovation. Increasing returns mechanisms are examined in Article 4. Policies to overcome the undesired effects of increasing returns mechanisms related to digital platforms are also designed and tested. In Article 5, the effects of time delays on the competition between two firms are studied. As a result of the Dissertation, new case-specific results as well as theoretic insights are obtained. Based on these observations, it is concluded that there are rich opportunities for dynamic modelling combined with other tools in the domains of innovation studies and competition strategies.",
keywords = "system dynamics, agent based modelling, systemic innovation, competition strategy, systeemidynamiikka, agenttipohjainen mallintaminen, systeeminen innovaatio, kilpailustrategia, system dynamics, agent based modelling, systemic innovation, competition strategy",
author = "Sampsa Ruutu",
year = "2018",
language = "English",
isbn = "978-952-60-8339-1",
series = "Aalto University publication series DOCTORAL DISSERTATIONS",
publisher = "Aalto University",
number = "246",
school = "Aalto University",

}

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TY - THES

T1 - Dynamic modelling for the analysis and support of systemic innovations and competition strategies

AU - Ruutu, Sampsa

PY - 2018

Y1 - 2018

N2 - The research question of the Dissertation is to look for new possibilities of dynamic modelling related to systemic innovations and competition strategies. The dynamic modelling approaches considered include qualitative and graphical models (causal loop diagrams and stock and flow diagrams) as well as quantitative simulation models (system dynamics and agent based modelling). Simulation modelling is used to show the emergent behaviour due to the interrelationships between parts of a socio-technical system. Dynamic modelling is used as an analysis tool in combination with other tools from the fields of innovation studies and foresight. Methods are developed for evaluating the impacts of innovations with system dynamics modelling. In Article 1, system dynamics modelling is applied to show different impacts of an innovation and the interrelationships between different dimensions of impacts. In Article 2, a participatory process is created for supporting the development and adoption of systemic innovations. In the process developed, system dynamics modelling is combined with foresights tools. Dynamic modelling is also used as a tool for theoretical analysis. The effects of different sources of complexity are studied. Interdependencies between parts of an innovation are examined in Article 3. As indicated by the results, the best way of organising innovative activities depends on the decomposability of the innovation. Increasing returns mechanisms are examined in Article 4. Policies to overcome the undesired effects of increasing returns mechanisms related to digital platforms are also designed and tested. In Article 5, the effects of time delays on the competition between two firms are studied. As a result of the Dissertation, new case-specific results as well as theoretic insights are obtained. Based on these observations, it is concluded that there are rich opportunities for dynamic modelling combined with other tools in the domains of innovation studies and competition strategies.

AB - The research question of the Dissertation is to look for new possibilities of dynamic modelling related to systemic innovations and competition strategies. The dynamic modelling approaches considered include qualitative and graphical models (causal loop diagrams and stock and flow diagrams) as well as quantitative simulation models (system dynamics and agent based modelling). Simulation modelling is used to show the emergent behaviour due to the interrelationships between parts of a socio-technical system. Dynamic modelling is used as an analysis tool in combination with other tools from the fields of innovation studies and foresight. Methods are developed for evaluating the impacts of innovations with system dynamics modelling. In Article 1, system dynamics modelling is applied to show different impacts of an innovation and the interrelationships between different dimensions of impacts. In Article 2, a participatory process is created for supporting the development and adoption of systemic innovations. In the process developed, system dynamics modelling is combined with foresights tools. Dynamic modelling is also used as a tool for theoretical analysis. The effects of different sources of complexity are studied. Interdependencies between parts of an innovation are examined in Article 3. As indicated by the results, the best way of organising innovative activities depends on the decomposability of the innovation. Increasing returns mechanisms are examined in Article 4. Policies to overcome the undesired effects of increasing returns mechanisms related to digital platforms are also designed and tested. In Article 5, the effects of time delays on the competition between two firms are studied. As a result of the Dissertation, new case-specific results as well as theoretic insights are obtained. Based on these observations, it is concluded that there are rich opportunities for dynamic modelling combined with other tools in the domains of innovation studies and competition strategies.

KW - system dynamics

KW - agent based modelling

KW - systemic innovation

KW - competition strategy

KW - systeemidynamiikka

KW - agenttipohjainen mallintaminen

KW - systeeminen innovaatio

KW - kilpailustrategia

KW - system dynamics

KW - agent based modelling

KW - systemic innovation

KW - competition strategy

M3 - Doctoral Thesis

SN - 978-952-60-8339-1

T3 - Aalto University publication series DOCTORAL DISSERTATIONS

PB - Aalto University

ER -

ID: 32206148