1. DPS in Computing CSIS Pace University An Integrated Decision Model for Replacing or Extending the Life of Legacy Systems by David Fronckowiak February 23, 2008

2. Experience to Date Technology Life Cycle Model - Kurzweil Legacy Systems – Replace or Extend Decision models for the legacy system replace / extend decision Interview to determine decision constructs Survey a larger population Calculation of relationship weights in a block diagram model

3. Research Problem  During the decision process to extend the life of a legacy system or replace the legacy system, what key factors must be considered?  How is the decision to replace or extend the life of a legacy system derived?  What technologies are the most frequently used and the most amenable to extending the life of legacy systems?

4. Research Hypotheses and Goals  Hypothesis:  In the decision process to extend or replace a legacy system, the key factors that must be considered are risk, cost, technology, and the integration of this technology with the legacy system.  Depending upon the industry, the technologies which are most frequently used and amenable to extending the life of legacy systems are web services, solutions to port applications between platforms, and system virtualization.  Research Goals:  Create a model to make the legacy system extension process more effective and efficient for the banking and insurance industries.  Model will help with the decision of extending or replacing the existing legacy system.

5. Modified Technology Acceptance Model (TAM) Intention to Use Perceived Usefulness Perceived Ease of Use Usage Behavior Task-Technology Fit Extend Replace F.D. Davis, “Preceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology,” MIS Quarterly, pp. 319-339, 1989. M.T. Dishaw and D.M. Strong, “Extending the Technology Acceptance Model with task-technology fit constructs,” Information and Management, vol. 36, pp 9-21, 1999. Modifications Cost Customer Features Resource Support Financial laws Global Competition

6. Modified Technology Acceptance Model (TAM) Intention to Use Perceived Usefulness Perceived Ease of Use Usage Behavior Task-Technology Fit Extend Replace F.D. Davis, “Preceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology,” MIS Quarterly, pp. 319-339, 1989. M.T. Dishaw and D.M. Strong, “Extending the Technology Acceptance Model with task-technology fit constructs,” Information and Management, vol. 36, pp 9-21, 1999. Modifications Cost Customer Features Resource Support Financial laws Global Competition

7. Modified Simon’s Descriptive Decision Model Intelligence Identify need for a decision Design Detail problem domain & alternative solutions Choice Select appropriate actions Notes: Links are hypotheses. Survey questions test links/hypotheses. Legal Review board Maint / Support Customer access / usability COTS Web Services Sat / Performance Metrics User Mobility Technical Champion Business Champion Virtualization Component redesign Executive Sponsor Risk Need Date Extend Replace Implementation Operations Cost Benchmarking Problem domain Alternatives Budget

8. Modified Technology Acceptance Model (TAM) Intention to Design Perceived Usefulness Perceived Ease of Use Usage Behavior Task-Technology Fit - Web Services - Virtualization - COTS - Component Design Extend Replace Do nothing Legal Maint / Support Customer access / usability Operations Cost Risk Benchmarking Sat / Performance Metrics User Mobility

9. Current Focus Select an appropriate sequential model for the decision making process Gather data based upon survey questions which test the hypotheses Calculate relationship weights between the decision making factors and the phase of the decision making process (SEM) Can this class help with the survey data?

10. Backup

11. Data Collection - Banking

12. Data Collection -Insurance