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______________________________________________
Loïc BordaisHead of industrial liaison office
Partnership management :Using decision support tools
www.in2p3.fr
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Decision making steps
Definition of Dr. Brown of Swansea Hospital : seven steps
1. Outline your goal and outcome.
2. Gather data.
3. Develop alternatives
4. List pros and cons of each alternative.
5. Make the decision.
6. Immediately take action to implement it.
7. Learn from and reflect on the decision.
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Decision making steps : step 2 « Gather data »
Decision support
Validated information
Analysis
Selected Information
Focused Collect with filters= Keywords
internal/external public/private sources = Raw Information
• The pyramid of information in watch process
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Decision support tools in partnership management : an example
An example of strategic approach for animal health department of INRA (National Institute for Agricultural Research) 2005-2007
Question : How to diversify partnership to European or Wolrdwide level in our labs ? (Step one «Outline your goal » )
Two core factors :
1) Research activity is now a partnership activity
2) Strategic partnership is a key for scientific excellence
So how to choose a well fitted partnership ?
You need to know actors, their activity and importance, existing or possible partnership : you need to gather INFORMATION (step 2) , you need to make decision (step 5) « choose partners » and implement it (step 6) « enter into collaboration ».
For pragmatic reasons : no time to spend for researchers, difficulty to get the « grey information » and others, our support team chose a self evaluation method from the Sociologic Centre of Innovation in Paris : the ASPUR method.
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Partnership management : ASPUR Strategic Partnership Analysis for Research Unit
Université LJapon
Université CGB
Université AUSA
Medium link
Strong link
Weak link
Scientific pole
Technolo
gic
al
pole
Market Pole
Entreprise DNorvège
Entreprise AFrance
Entreprise BEspagne
Entreprise XFrance
ProducteursÉtrangers
GMS
ASSOCIATION A
Groupement européenOrganisation prof.
France
Centre techniqueFrance
Entreprise FFrance
Entreprise EFrance
ANR
MAP
MESR
AFSSA
D.G. UE
OFFICE AMEDD
Entreprise CAllemagne
Entreprise GFinlande
Centre techniqueNouvelle Zélande
Université UChine
Institut SHongrie
Centre RNorvège
Université OItalie
Université WPays Bas
Centre techn.Canada
Labo CNRS MFrance
Unité INRA JTheix
Unité INRA KRennes
COLLECTIVITES TERRITORIALES
Organisme NFrance
Ecole TFrance
Université PPortugal
FABRICANTSX, Y et Z
Université DEcosse
Université EGB Institut F
Espagne
Centre GEcosse Unité INRA I
Tours
Major actor
Medium actor
Weak actor
______________________________________________Partnership management : limitations of self evaluation approach
Perfect to collect grey information in condensed form in a limited time
But risk of :
• missing of actors, missing of quantitative information about actors
• Unrelevant qualification of actors (feeling vs facts) that may conduct to a wrong partnership
You need an objective assesment of information. Decision making is a combination between feeling and facts.
So we decided in 2007 to reinforcement the ASPUR method by watch tools : collecting tools for internet sites, publications sites, tools for patent database (matheo patent), financial databases.
______________________________________________Partnership management : implementation of watch tools
Definition of required information : size of actors, R&D indicators
• For academics : standard figures, publications, patents
• For economic actors : financial figures, patents
Objective : re-define importance of actors in ASPUR method
Watch tools : Keywatch for web crawling, SCRL databases for financial figures, Web of science for publications, matheo patents for patents.
Difficulties :
• Watch tools were not so easy to manage in 2007 ; different tools without integration
• Importance of keywords : well defined field of research
• Means : more human and financial ressources
______________________________________________Partnership management : conclusion
Decision support tools are strategic in a more an more complex world. Use it !
At first : step one Outline your goal and outcome :
Take time to know what are you searching for ? What do you want to know ?
Then : step 2 Gather data
• what do you need as information ?
• What tools would be useful ?
• Existing or new ones (like in HEP experiments) : new tools open new possibilities
So build your own information system and analysing structure : it is a well known watch process
Do not try to reach perfection right the first time ; it is a back and forth system
Thanks for your attention.