A model and system for an integrated analysis of the iterative life cycle of university-industry partnerships

Arturas Kaklauskas, Dilanthi Amaratunga, Richard Haigh, Arune Binkyte, Natalija Lepkova, A. Survila, Irene Lill, S. Tantaee, Audrius Banaitis

Research output: Contribution to journalConference article

1 Citation (Scopus)

Abstract

The Asian countries (Sri Lanka, Thailand, Bangladesh) in the ASCENT project have an unequally spread out and restricted RTD ability. An interactive and cooperative university - industry partnership can increase the quality of life and reduce the risk of disaster. Here the fields where universities consider the involvement of industry are recognized (e.g., fundamental and applied research, development, production life cycle and such). There is a recognized need for the private sector to engage the research community in the context of disaster resilience research to tackle disaster risk. The definition of “industry” in this research is deliberately vague to allow exploration of what useful collaborations “industries” can develop with universities for disaster management research (here collaborations mean different life cycle interactions). There is the need for an integrated multiple criteria decision analysis to mitigate the effects of disaster on the built environment at three levels: the micro (research and innovation performance, transfer and absorptive capacity, technology development), meso (institutional arrangements, communication network, local and indigenous rules) and macro (supply and demand, regulations, financing, taxes, culture, traditions, market, climate, political, demographic, technology) levels. Disaster management involves numerous aspects for consideration in addition to making economic, political and legal/regulatory decisions. These must include social, cultural, ethical, psychological, educational, environmental, provisional, technological, technical, organizational and managerial aspects. This research produced a model and a system for integrated analysis of the iterative life cycle of university industry partnerships. The model and the system make it possible to perform multi-variant design and multiple criteria assessment of alternative university-industry partnership life cycles, calculate their market and investment value, conduct online negotiations, and select options that offer the best efficiency.
LanguageEnglish
Pages270-277
Number of pages8
JournalProcedia Engineering
Volume212
Early online date22 Feb 2018
DOIs
Publication statusPublished - 2018
Event7th International Conference on Building Resilience: Using Scientific Knowledge to Inform Policy and Practice in Disaster Risk Reduction - Swissotel Le Concorde, Bangkok, Thailand
Duration: 27 Nov 201729 Nov 2017
Conference number: 7
http://www.buildresilience.org/2017 (Link to Conference Website)

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Life cycle
Disasters
Industry
Decision theory
Taxation
Telecommunication networks
Macros
Innovation
Economics

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Kaklauskas, Arturas ; Amaratunga, Dilanthi ; Haigh, Richard ; Binkyte, Arune ; Lepkova, Natalija ; Survila, A. ; Lill, Irene ; Tantaee, S. ; Banaitis, Audrius . / A model and system for an integrated analysis of the iterative life cycle of university-industry partnerships. In: Procedia Engineering. 2018 ; Vol. 212. pp. 270-277.
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abstract = "The Asian countries (Sri Lanka, Thailand, Bangladesh) in the ASCENT project have an unequally spread out and restricted RTD ability. An interactive and cooperative university - industry partnership can increase the quality of life and reduce the risk of disaster. Here the fields where universities consider the involvement of industry are recognized (e.g., fundamental and applied research, development, production life cycle and such). There is a recognized need for the private sector to engage the research community in the context of disaster resilience research to tackle disaster risk. The definition of “industry” in this research is deliberately vague to allow exploration of what useful collaborations “industries” can develop with universities for disaster management research (here collaborations mean different life cycle interactions). There is the need for an integrated multiple criteria decision analysis to mitigate the effects of disaster on the built environment at three levels: the micro (research and innovation performance, transfer and absorptive capacity, technology development), meso (institutional arrangements, communication network, local and indigenous rules) and macro (supply and demand, regulations, financing, taxes, culture, traditions, market, climate, political, demographic, technology) levels. Disaster management involves numerous aspects for consideration in addition to making economic, political and legal/regulatory decisions. These must include social, cultural, ethical, psychological, educational, environmental, provisional, technological, technical, organizational and managerial aspects. This research produced a model and a system for integrated analysis of the iterative life cycle of university industry partnerships. The model and the system make it possible to perform multi-variant design and multiple criteria assessment of alternative university-industry partnership life cycles, calculate their market and investment value, conduct online negotiations, and select options that offer the best efficiency.",
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A model and system for an integrated analysis of the iterative life cycle of university-industry partnerships. / Kaklauskas, Arturas; Amaratunga, Dilanthi; Haigh, Richard; Binkyte, Arune ; Lepkova, Natalija ; Survila, A. ; Lill, Irene; Tantaee, S. ; Banaitis, Audrius .

In: Procedia Engineering, Vol. 212, 2018, p. 270-277.

Research output: Contribution to journalConference article

TY - JOUR

T1 - A model and system for an integrated analysis of the iterative life cycle of university-industry partnerships

AU - Kaklauskas, Arturas

AU - Amaratunga, Dilanthi

AU - Haigh, Richard

AU - Binkyte, Arune

AU - Lepkova, Natalija

AU - Survila, A.

AU - Lill, Irene

AU - Tantaee, S.

AU - Banaitis, Audrius

PY - 2018

Y1 - 2018

N2 - The Asian countries (Sri Lanka, Thailand, Bangladesh) in the ASCENT project have an unequally spread out and restricted RTD ability. An interactive and cooperative university - industry partnership can increase the quality of life and reduce the risk of disaster. Here the fields where universities consider the involvement of industry are recognized (e.g., fundamental and applied research, development, production life cycle and such). There is a recognized need for the private sector to engage the research community in the context of disaster resilience research to tackle disaster risk. The definition of “industry” in this research is deliberately vague to allow exploration of what useful collaborations “industries” can develop with universities for disaster management research (here collaborations mean different life cycle interactions). There is the need for an integrated multiple criteria decision analysis to mitigate the effects of disaster on the built environment at three levels: the micro (research and innovation performance, transfer and absorptive capacity, technology development), meso (institutional arrangements, communication network, local and indigenous rules) and macro (supply and demand, regulations, financing, taxes, culture, traditions, market, climate, political, demographic, technology) levels. Disaster management involves numerous aspects for consideration in addition to making economic, political and legal/regulatory decisions. These must include social, cultural, ethical, psychological, educational, environmental, provisional, technological, technical, organizational and managerial aspects. This research produced a model and a system for integrated analysis of the iterative life cycle of university industry partnerships. The model and the system make it possible to perform multi-variant design and multiple criteria assessment of alternative university-industry partnership life cycles, calculate their market and investment value, conduct online negotiations, and select options that offer the best efficiency.

AB - The Asian countries (Sri Lanka, Thailand, Bangladesh) in the ASCENT project have an unequally spread out and restricted RTD ability. An interactive and cooperative university - industry partnership can increase the quality of life and reduce the risk of disaster. Here the fields where universities consider the involvement of industry are recognized (e.g., fundamental and applied research, development, production life cycle and such). There is a recognized need for the private sector to engage the research community in the context of disaster resilience research to tackle disaster risk. The definition of “industry” in this research is deliberately vague to allow exploration of what useful collaborations “industries” can develop with universities for disaster management research (here collaborations mean different life cycle interactions). There is the need for an integrated multiple criteria decision analysis to mitigate the effects of disaster on the built environment at three levels: the micro (research and innovation performance, transfer and absorptive capacity, technology development), meso (institutional arrangements, communication network, local and indigenous rules) and macro (supply and demand, regulations, financing, taxes, culture, traditions, market, climate, political, demographic, technology) levels. Disaster management involves numerous aspects for consideration in addition to making economic, political and legal/regulatory decisions. These must include social, cultural, ethical, psychological, educational, environmental, provisional, technological, technical, organizational and managerial aspects. This research produced a model and a system for integrated analysis of the iterative life cycle of university industry partnerships. The model and the system make it possible to perform multi-variant design and multiple criteria assessment of alternative university-industry partnership life cycles, calculate their market and investment value, conduct online negotiations, and select options that offer the best efficiency.

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KW - Multiple criteria modeling

KW - Micro

KW - Meso and macro environments

KW - Societal resilience to disasters

KW - Alternatives

U2 - 10.1016/j.proeng.2018.01.035

DO - 10.1016/j.proeng.2018.01.035

M3 - Conference article

VL - 212

SP - 270

EP - 277

JO - Procedia Engineering

T2 - Procedia Engineering

JF - Procedia Engineering

SN - 1877-7058

ER -