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Business Alignment of IP - Björn Möller
- 1. Business Alignment ofIP for the Internet of Things in an early R&D phase Björn Möller, September 2019 MIPLM Research Project @ University of Strasbourg
- 2. 2019-09-27Page 2 Close tothe Customer End Customer Well said – but… … it‘s a challenge…
- 3. 2019-09-27Page 3 Close tothe Customer End Customer Well said – but… … it‘s a challenge… B2C
- 4. 2019-09-27Page 4 Close tothe Customer End Customer Well said – but… … it‘s a challenge… B2CB2B Inside the company Outside the company
- 5. 2019-09-27Page 5 Close tothe Customer End Customer Well said – but… … it‘s a challenge… B2CB2B Corporate Technology Inside the company Outside the company
- 6. 2019-09-27Page 6 Close tothe Customer End Customer Well said – but… … it‘s a challenge… B2CB2B Corporate TechnologyCT IP Inside the company Outside the company
- 7. 2019-09-27Page 7 Close tothe Customer End Customer Well said – but… … it‘s a challenge… B2CB2B Corporate TechnologyCT IP Inside the company Outside the company
- 8. 2019-09-27Page 8 Technology S-Curve AfterAJ Wurzer, MIPLM course 2019, concept by AD Little in Servatius: Methodik des strategischen Technologiemanagements
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- 10. 2019-09-27Page 10 Is therean R&D S-Curve? Would S-Curves apply to R&D activities as well?
- 11. 2019-09-27Page 11 Is therean R&D S-Curve? Would S-Curves apply to R&D activities as well? Establishing phase Finding phase R&D Activities
- 12. 2019-09-27Page 12 Is therean R&D S-Curve?
- 13. 2019-09-27Page 13 Preliminary CrossCheck Time Resolved Google Search Results … but difficult to Interprete…
- 14. 2019-09-27Page 14 Patent Data– Search for „Internet of Things“ and „IoT“ Granted IPRs (measure: B*- and U*-documents)
- 15. 2019-09-27Page 15 Patent Data– Search for „Internet of Things“ and „IoT“
- 16. 2019-09-27Page 16 Patent Data– Search for „Internet of Things“ and „IoT“ S-Curve behaviour may be there – but: Maybe any S-Curve characteristics comes from Buzz word effects?
- 17. 2019-09-27Page 17 Patent Data– Class-Based Search Try a purely class-based approach instead – use the CPC patent classification system
- 18. 2019-09-27Page 18 Patent Data– Class-Based Search
- 19. 2019-09-27Page 19 Patent Data– Class-Based Search
- 20. 2019-09-27Page 20 Patent Data– Class-Based Search Source: European Patent Office, Espacenet – classification search
- 21. 2019-09-27Page 21 Patent Data– Class-Based Search Similar class analyses with - „M2M“ or … - „edge comput*“ or …
- 22. 2019-09-27Page 22 Patent Data– Class-Based Search Source: European Patent Office, Espacenet – classification search
- 23. 2019-09-27Page 23 Model ofApplication Data before the EPO Results due to six CPC families
- 24. 2019-09-27Page 24 Model ofApplication Data before the EPO S-curves Time derivative of S-curves
- 25. 2019-09-27Page 25 Model ofGrant Data before the EPO S-curves Time derivative of S-curves
- 26. 2019-09-27Page 26 Software Patentsand Region
- 27. 2019-09-27Page 27 Software Patentsand Region Similar provisions in other countries/regions - except US - Increasingly liberal: CN
- 28. 2019-09-27Page 28 S-Curve Parametersfor Different Jurisdictions
- 29. 2019-09-27Page 29 Is therean R&D S-Curve? Would S-Curves apply to R&D activities as well? Establishing phase Finding phase R&D Activities
- 30. 2019-09-27Page 30 Is therean R&D S-Curve? Establishing phase Finding phase R&D Activities With respect to IPRs they do!
- 31. 2019-09-27Page 31 Cross-check: EPOstatistics Source: EPO facts and figures 2019
- 32. 2019-09-27Page 32 Cross-check: EPOstatistics Source: EPO facts and figures 2019
- 33. 2019-09-27Page 33 Conclusions - Almost3 decades of patent application & grant dynamics may be easily modelled with S-curves - S-curve trends may support businesses with trend scouting - Business alignment may be improved - The S-curve parameters seem to generally agree with differing treatment of software patents in various jurisdictions - A specific interpretation of the individual S-curves and further trend attributions would be relevant, needs further research - Time dependence might support topical IP searches as a cross check