Coping With Technological Shifts: Organizational Actions to Adapt IT Infrastructures
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
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.
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 | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.006 | 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