1. Software Innovation Course - Presentation 3/05-2012

2. Motivation and background DISIMIT project: 10 Municipalities, 2 consultant companies, 2 SME’s Theme 1 – From cost to value creation Business cases Benefits management

3. Benefits Management Figure adapted from Ward and Daniel, Delivering Value from IS/IT investment 1. Lack of proven benefits realized 5. Lack of alignment of IS/IT and business strategy 4. Inability to set IS/IT priorities 2. Poor benefits identification and planning 3. Inappropriate investment decisions

4. Benefits Management Figure adaptet from Ward and Daniel, Delivering Value from IS/IT investment Strategic planning Benefits Management Investment appraisal Change management methods Project management methodology Systems development methodology Risk management techniques Programme and project portfolio

5. Benefits Management Stages in Benefits Management: 1.Identifying and structuring the benefits. 2.Planning benefits realization. 3.Executing the benefits plan. 4.Reviewing and evaluating the results. 5.Establishing potential for further benefits.

6. Boundary Spanning Across knowledge cultural boundaries. Across physical/organizational boundaries. Boundary spanning through objects. Boundary spanning through people.

7. Results

9. SD in the Municipalities Hugely varied size of projects Hard to manage knowledge silos ”Easy” projects running out (need innovation)

10. Innovation Csikszentmihalyi’s systems model of creativity

11. Innovation User driven innovation process strategy Driven to innovation because of work needs Retains complex domain knowledge Knowledge that may be difficult to transfer

12. Research proposal User driven innovation for IT initiatives in Municipalities Rationale: Innovation is needed One project framing fits user driven Complex domain knowledge

13. Research proposal Literature: User-driven innovation in the future applications lab Holmquist, L. E. (2004) Shifting innovation to users via toolkits Von Hippel, E. & Katz R.

14. Research proposal Explorative study Data:Case study in a Municipality (interview) Analysis: Qualitative inductive coding on how user innovation might be conducted Contribution: Descriptive/explanatory on user innovation in Municipalities Further research: Prescriptive model/process for user innovation