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METHODOLOGIES TO FOSTER INNOVATION FACTORIES UMIL, UIBK, CRMPA, PHI

Collaborative Project – FP7- ICT- 2009 - 257886


Methodologies to foster the Innovation Factories (1)  D6.6 presents an evolution of WP6 methodology taking in consideration an important element: collaboration  The methodology proposed in D6.6 focuses on the definition of the Innovation Factory environment that can:  Make easier the emergenge of new ideas  Stimulate innovation team creativity  Support collaboration

 In particular D6.6 contributions are:  The definition of Seeding, Evolutionary growth, Reseeding approach  The design of the Virtual Product Designer  The definition of a specific ARS configuration for the Innovation Process 2nd Review Meeting, Sep 2012

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Methodologies to foster the Innovation Factories (2)

2nd Review Meeting, Sep 2012

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Methodologies to foster the Innovation Factories (3) IF Requirements

ARISTOTELE Requirements

Extended Description

IF-1 Support Exploration

UR6 - UR8

Collect, trace and present documents functionalities (UR6), and an intelligent search engine (UR8) permit to explore all information presented in the ARISTOTELE platform

IF-2 Low threshold, high ceiling, and wide walls

UR18 - UR19

The possibility to express doubts or questions (UR18) and the agile capability to plan activities (UR19) in order to reduce the “walls�

IF-3 Support many paths and many styles

UR3 - UR5

A common layer for semantic correlation (UR5) and a collaborative network (UR3) to reduce the problem regarding the interdisciplinary team.

IF-4 Support collaboration

UR3 - UR4

Collaborative network (UR3) and monitoring tools (UR4) to support collaboration

IF-5 Support open interchange

Not mapped in the ARISTOTELE URs.

If-6 Make it as simple as possible

UR21 - UR22

A service to suggest useful knowledge items (UR21) and a method to submit questions (UR22) permit to simplify the collaborative development process

IF-7 Iterate, iterate and then iterate again

UR1 - UR3 UR6

Collaborative network functionalities (UR3), a system to collect, trace and present items (UR6) and a system that supports the organization of personal work, documents (UR1) and activities

IF-8 Serendipitous meeting

UR14a - UR21

A proactive service to suggest people (UR14a) and a tool to suggest items or activities (UR21) permit to meet relevant employees.

IF-9 Stimulate new ideas

UR11 - UR 18 - Share successful experiences (UR11), submit a questions (UR18) and a service to suggest UR21 knowledge items, or people or activities (UR21) permits to stimulate new ideas.

2nd Review Meeting, Sep 2012

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ARISTOTELE Open Innovation Methodology (1)  The ARISTOTELE Open Innovation Methodology relies on two fundamental concepts:  Collaborative Development  Virtual Product

 Collaborative development:  Closely related to open innovation, inasmuch it aims to create open systems that can be modified by their users acting as co-designers, requiring and supporting more complex interactions at use time  Promotes sustainable co-designing by the way of seeding and evolutionary growth, incrementally refined by endusers 2nd Review Meeting, Sep 2012

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ARISTOTELE Open Innovation Methodology (2) It extends the Seeding, Evolutionary growth, Reseeding approach  SEEDING. Employees feed, through the IF, ARS with items extracted from one or more knowledge inflows to obtain recommendations of resources (documentation or social network contacts)  Based on these seeds, innovation team members collaboratively create an initial idea that can grow over time

 EVOLUTIONARY GROWTH. Innovation team members use the IF collaboration environment to develop and extend the initial seeds according to their needs and ideas  This phase hopefully leads to the emergence of a virtual product, a first incarnation of the open innovation process outcome

 RESEEDING. This step occurs when incremental changes introduced in the evolutionary growth phase stop proceeding smoothly  During this phase, ARS is used again, feeding it with the virtual product generated in the evolutionary growth step

2nd Review Meeting, Sep 2012

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Innovation Factory The Innovation Factory (IF) is composed by three elements:  Open Innovation Data Corpus. It exposes the main information coming from the Open Innovation sources  Virtual Product Designer. The synchronous collaborative tool that allows to develop the Virtual Product  Recommender System for IF. It is composed by a set of common and ad-hoc tools that support the Innovation Process by providing suggestions and recommendations

2nd Review Meeting, Sep 2012

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Virtual Product Designer (VPD)  VPD provides a common collaboration context across the system where each team member can work while being aware of the activities of others  VPD allows innovation team members to collaboratively modify and create seeds, and to evolve them continuously  VPD is a collection pages that can be edited by innovation team members, at any time and from anywhere, in order to model the new VP 2nd Review Meeting, Sep 2012

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Recommender System for IF  The IF exploits the functionalities of the ARS module  Computation of ad-hoc recommendations covering all the competences released by VPD  Computation of suggestions in terms of Interactions, Human Resources, Electronic Resources

 ARS is executed taking as stimulus the list of VPD competences and as target the innovation team  ARS identifies competences related to the stimulus  ARS returns a set of suggestions that are useful to acquire, for each innovation team member, all competences related to the stimulus  Recommendations are computed based on the current VP definition at each re-seeding step 2nd Review Meeting, Sep 2012

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References 

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P. Ceravolo, F. Frati, J. Maggesi, G. Waldhart, I. Seeber. Design principles for competence-based recommender system In: IEEE DEST-CEE 2012 : 6th IEEE International conference on digital ecosystems technologies, complex environment engineering : 18-20 june 2012, Campione d'Italia, Italy : proceedingsPiscataway : Institute of electrical and electronics engineers, 2012. - ISBN 9781467317016. - pp. 1-6 V. Bellandi, P. Ceravolo, E. Damiani, and F. Frati. CR2S: Competency Roadmap to Strategy. Proc. of 1st Int. Workshop on Knowledge Management and e-Human Resources Practices for Innovation (eHR-KM ‘11), 2011 R. Phaal, C.J.P. Farrukh, D.R. Probert. Technology roadmapping - A planning framework for evolution and revolution. In Technological Forecasting and Social Change 71:1, January 2004 A.I. Cristea, F. Ghali. Towards Adaptation in E-Learning 2.0. In The New Review of Hypermedia and Multimedia, 2010 F. Ricci, L. Rokach, B. Shapira, P.B. Kantor (Eds.). Recommender Systems Handbook, Springer, 2011 R. Maier. Knowledge Management Systems: Information and Communication Technologies for Knowledge Management. Knowledge Management. Springer, 2007 L. Iaquinta, M. de Gemmis, P. Lops, G. Semeraro. Recommendations toward Serendipitous Diversions. In Proc. of Ninth International Conference on Intelligent Systems Design and Applications, 2009 P. Ceravolo, E. Damiani, M. Viviani. Bottom-up Extraction and Trust-based Refinement of Ontology Metadata. IEEE Transactions on Knowledge and Data Engineering 19 (2), 2007 G. Adomavicius, A. Tuzhilin. Toward the next generation of recommender systems: a survey of the state-of-the-art and possible extensions. IEEE Transactions on Knowledge and Data Engineering, 17(6), 2005 P.S. Adler, C. Heckscher. Towards Collaborative Community. In The Firm as a Collaborative Community: Reconstructing Trust in the Knowledge Economy. Oxford University Press, 2006 A. Hargadon, R.I. Sutton. Innovation Factory. Harvard Business Review, 2000 C. Edquist. Systems Of Innovation: Perspectives and Challenges. In J. Fagerberg, D. C. Mowery, & R. R. Nelson (Eds.), The Oxford Handbook of Innovation. New York., 2005

2nd Review Meeting, Sep 2012

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METHODOLOGIES TO FOSTER INNOVATION FACTORIES