Coping With Technological Shifts: Organizational Actions to Adapt IT Infrastructures
Bibliographic record
Abstract
Information technology infrastructures (ITI)—arrangements of shared IT services and technical components that support an organization's strategy and processes—are vital to organizations. They play key strategic roles, which are at the core of the business operations and impact performance. However, technological shifts are major threats to any organizations’ ITI. To cope with technological shifts, organizations must sense technological evolutions, seize the related opportunities, and transform their ITI, simply put it, they must become agile. Still, the question for practitioners is: What actions should be deployed to build organizational agility to cope with technological shifts and adapt their ITI? Twenty organizational actions were identified by 29 ITI experts that were grouped into three interrelated vectors: 1) Nurturing proactive technological culture, mindset, and competencies; 2) Codesigning enterprise architecture; and 3) Piloting the ITI. These actions should help organizations become more agile, while guiding practitioners in evolving and adapting their ITI.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.010 | 0.016 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.005 | 0.006 |
| Scholarly communication | 0.008 | 0.006 |
| Open science | 0.001 | 0.007 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.002 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".