ow2con 2011: open source innovation factory

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OW2Con 2011, November 23 -24, Orange Labs, Paris www.ow2.org Open Source Innovation Factory Paolo Ceravolo, Università degli Studi di Milano in cooperation with Engineering Group [Our Framework equipped with Innovation Metrics can dramatically reduce the time required to transfer an innovative project to a real environment]

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A new research activity carried out by SpagoBI team in collaboration with the University of Milan (Italy), aiming at the realization of a new analytical solution allowing to monitor the level of innovation in enterprise production processes, was presented at the "Open Source Innovation Catalyst track", an OW2Con 2011 co-located event. www.spagobi.org

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Page 1: OW2Con 2011: Open Source Innovation Factory

OW2Con 2011, November 23 -24, Orange Labs, Pariswww.ow2.org

Open Source Innovation FactoryPaolo Ceravolo, Università degli Studi di Milano

in cooperation with Engineering Group

[Our Framework equipped with Innovation Metrics can dramatically reduce the time required to transfer an innovative project to a real environment]

Page 2: OW2Con 2011: Open Source Innovation Factory

OW2Con 2011, November 23 -24, Orange Labs, Pariswww.ow2.org

Outlook

� Open Issues in Open Innovation

� Our Proposal

� Our Framework

� Future work

Page 3: OW2Con 2011: Open Source Innovation Factory

OW2Con 2011, November 23 -24, Orange Labs, Pariswww.ow2.org

Innovation

� 72% of company executives rank innovation in their top 3 priorities (Boston Consulting Group, 2006)

� 80% of new product results will tend to come from only 20% R&D projects (Eduardo, 2003)

� successful companies cancelled as many innovation projects as non-successful companies. However, successful companies were able to cancel unattractive projects much earlier in the process (Ogawa & Ketner, 1997)

Page 4: OW2Con 2011: Open Source Innovation Factory

OW2Con 2011, November 23 -24, Orange Labs, Pariswww.ow2.org

Open Innovation

� The central idea behind open innovation is that in a world of widely distributed knowledge, companies cannot afford to rely entirely on their own research, but should instead buy or license processes or inventions (i.e. patents) from other companies. In addition, internal inventions not being used in a firm's business should be taken outside the company (Chesbrough, 2003).

Page 5: OW2Con 2011: Open Source Innovation Factory

OW2Con 2011, November 23 -24, Orange Labs, Pariswww.ow2.org

Open Innovation

Page 6: OW2Con 2011: Open Source Innovation Factory

OW2Con 2011, November 23 -24, Orange Labs, Pariswww.ow2.org

Open Issues in Open Innovation

� Reduce time to identify unproductive projects

� Understand the synergy that are potentially relating different projects

� Represent Innovation Activity

� Measure Innovation Activity

� Report on Innovation Activity

Page 7: OW2Con 2011: Open Source Innovation Factory

OW2Con 2011, November 23 -24, Orange Labs, Pariswww.ow2.org

Open Source Innovation Factory

� Mixes three complementary approaches: 1. Innovation Factory Metamodel (IFM), proposed in

the ARISTOTELE project (www.aristotele-ip.eu)

2. Open source platform SpagoBI(www.spagobi.org), OLAP and Reporting

3. Knowbots, advanced tools for the acquisition of concepts from internal and external knowledge sources

Page 8: OW2Con 2011: Open Source Innovation Factory

OW2Con 2011, November 23 -24, Orange Labs, Pariswww.ow2.org

Open Source Innovation Factory

Page 9: OW2Con 2011: Open Source Innovation Factory

OW2Con 2011, November 23 -24, Orange Labs, Pariswww.ow2.org

Innovation Factory Metamodel

Page 10: OW2Con 2011: Open Source Innovation Factory

OW2Con 2011, November 23 -24, Orange Labs, Pariswww.ow2.org

Innovation Metrics

� Goal 1: Innovation Level Improvemento Q1.1: Which is the level of innovative knowledge exploited in the Organization?o Q1.2: How much are innovative the new products?� Goal 2: Quality of Innovation Sourceso Q2.1: Which is the quality of sources of innovation process?� Goal 3: Open Innovation Permeabilityo Q3.1: To what extend the customer contribution is exploited?o Q3.2: To what extend the concepts coming from competitors' sites are exploited?o Q3.3: Evaluate the level of technologies that are transferred by the analysis of

competitorso Q3.4: How much internal proposals influence innovative products?� Goal 4: Return of Innovation Investmento Q4.1: How much innovation process produces profits?o Q4.2: How much innovation process costs?o Q4.3: Indirect Advantages

Page 11: OW2Con 2011: Open Source Innovation Factory

OW2Con 2011, November 23 -24, Orange Labs, Pariswww.ow2.org

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www.ow2.org.

Innovation Metrics

Goal 1: Innovation Level ImprovementQ1.1: Which is the level of innovative knowledge exploited in the Organization?

M1.1.1: no. accesses to blog/forum marked as innovation sourcesM1.1.2: no. concepts transferred from innovation sources to produced documents (e.g. cut&paste)

Q1.2: How much are innovative the new products?M1.2.1: no. tags describing new functionalities / no. concepts in innovative sources tag cloudM1.2.2: no. requirements covered by new products

Page 12: OW2Con 2011: Open Source Innovation Factory

OW2Con 2011, November 23 -24, Orange Labs, Pariswww.ow2.org

Innovation Metrics

Goal 2: Quality of Innovation SourcesQ2.1: Which is the quality of sources of innovation process?

M2.1.1: % of external requirements, coming from outside the organization (e.g. analyzing innovative sources)M2.1.2: % of internal requirements, coming from inside the organization (e.g. from internal meetings)M2.1.3: % of customer requirements, coming directly from the customerM2.1.4: % of new products implementing external requirementsM2.1.5: % of new products implementing internal requirementsM2.1.6: % of new products implementing customer requirementsM2.1.7: % of human resources that contribute to the innovation process

Page 13: OW2Con 2011: Open Source Innovation Factory

OW2Con 2011, November 23 -24, Orange Labs, Pariswww.ow2.org

Innovation MetricsGoal 4: Return of Innovation Investment

Q4.1: How much innovation process produces profits?M4.1.1: no. new products sold per monthM4.1.2: no. new products sold per weekM4.1.3: no. new customersM4.1.4: % revenue from new productsM4.1.5: % new product within deadline

Q4.2: How much innovation process costs?M4.2.1: time-to-market of new productsM4.2.2: time-to-market of changes to existing productsM4.2.3: budget spent on human resources trainingM4.2.4: no. competences involved in innovation processM4.2.5: no. human resources involved in innovation processM4.2.6: no. man-months spent to realize new productM4.2.7: no. man-months spent to realize changes to existing productsM4.2.8: average number of training hours per human resource

Q4.3: Indirect AdvantagesM4.3.1: % customer satisfaction with new productsM4.3.2: % of human resources reaching desired competence level after trainingM4.3.3: % difference in productivity before and after training

Page 14: OW2Con 2011: Open Source Innovation Factory

OW2Con 2011, November 23 -24, Orange Labs, Pariswww.ow2.org

SpagoBI

Page 15: OW2Con 2011: Open Source Innovation Factory

OW2Con 2011, November 23 -24, Orange Labs, Pariswww.ow2.org

SpagoBI

Page 16: OW2Con 2011: Open Source Innovation Factory

OW2Con 2011, November 23 -24, Orange Labs, Pariswww.ow2.org

SpagoBI

Page 17: OW2Con 2011: Open Source Innovation Factory

OW2Con 2011, November 23 -24, Orange Labs, Pariswww.ow2.org

KnowBots

• KB consists of two distinct modules which interact with each other

• One module is running locally in the workspace of the worker

• A second module is a remote server module that interrogates various database services across the network and provides the results to a user agent running in the local workspace

• This way we can track the information that are provided by the Knowbots and are used in the workspace

Page 18: OW2Con 2011: Open Source Innovation Factory

OW2Con 2011, November 23 -24, Orange Labs, Pariswww.ow2.org

Scenario: AVIO

• AVIO traditionally run two separate business:

• Plant in Torino selling engines

• Plant in Brindisi providing overhaul services

• AVIO has no foresight on the mid-term arrivals of engines and is unable to optimize plans and procurement processes.

• FLEET MANAGEMENT

• centralizing engine monitoring and scheduling their overhaul process

• optimizing the flow of engines in arrival and reducing congestion or underutilization

Page 19: OW2Con 2011: Open Source Innovation Factory

OW2Con 2011, November 23 -24, Orange Labs, Pariswww.ow2.org

Lesson Learned

• Access to data

• process (competences, requirements)

• products (requirements, ROI)

• Define Innovation Profile based on successful story to support comparability among past and running processes

Page 20: OW2Con 2011: Open Source Innovation Factory

OW2Con 2011, November 23 -24, Orange Labs, Pariswww.ow2.org

This work is co-funded by the European Commission as part of the ARISTOTELE project

(FP7-ICT-2009-5 –257886)