IT value creation in public sector: how IT-enabled capabilities mitigate tradeoffs in public organisations
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
Governments today are striving to improve services in the public sector through digital transformation programs but face tremendous pressures from multiple fronts (economy, national security, healthcare, education, etc.). Even when worldwide enterprise IT spending for the government and education markets has been increasing and is expected to surpass $652 billion in 2023 to cater to such transformation programs, 80% of the government transformation efforts failed to achieve expected results. A plausible reason for this lacklustre performance could be the presence of tradeoffs or conflicts that is particularly salient in public organisations. To better understand the mechanisms by which IT enables or inhibits capabilities of the public organisations in attaining public value, we adopt a conflict resolution lens to study how information technology (IT) enabled capabilities to mitigate these tradeoffs. Using a dataset collected from public organisations in a European country unreeling from a financial crisis, we examine the processes by which IT enables public organisations to manage the tradeoffs arising from conflicting value-based goals. We identify three mitigation strategies facilitated via IT-enabled organisational capabilities – bias, tunnelling and hybridisation. This paper contributes to the understanding of how IT mitigates value-based tradeoffs in public organisations to achieve public value.
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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 | 0.005 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.008 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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