Public sector enterprise resource planning : issues in change management
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Contents: Preface PART I: PUBLIC SECTOR VIEW 1. Battlespace ERP Systems: Changing the Way Military Decision Makers Think in a Net-Centric Information Environment Grayson Morgan 2. Enterprise Resource Planning: Commerce Administrative Management System Lisa K. Westerback 3. Change Management in the Canadian Forces: Land Force Atlantic Area Headquarters LCol. Robert Russell 4. Emerging Doctrines of Government Performance and Federal ERP Change Management Daniel L. Cuda PART II: CONSULTING VIEW 5. Challenges of Implementing Enterprise Resource Planning (ERP) Applications within the Department of Defense (DoD) Micheline Lopez-Estrada 6. Business Process Change Management: For ERP and Other Public Sector Projects Mathias Kirchmer 7. Establishing Process Ownership by Aligning SAP and DoD Business Processes David Bailey, Thomas Gulledge and Georg Simon 8. Public Sector Change Management: What are the ERP Issues? Rainer A. Sommer PART III: RESEARCH VIEW 9. A Recurring Improvisational Change Management Methodology in Public Sector Enterprise Resource Planning Implementation Cheryl A. Darlington 10. Transaction Costs in Public Sector Information Technology Implementations Douglas Frye 11. Testing Cultural Barriers to Enterprise System Implementations: Change Management through Organizational Culture Assessment Mary A. Leary 12. The Art of Public Sector Information Systems Management: The Role of the Task in public Sector ERP Implementations Carsten Svennson Index
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it