Organizational Strategy and IT Workforce During Times of Environmental Turbulence
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
The purpose of this study is to investigate how organizations may improve their agility in order to respond to environmental turbulence by developing an appropriate organizational strategy and adapting their information technology (IT) function. It analyzes a dataset containing responses from 10 386 IT professionals located in 37 countries, which was collected as part of the World IT Project. The findings show that to become agile and prosper in a turbulent environment, organizations should both innovate and differentiate themselves from their competition: in other words, they should become Prospectors and employ a differentiation strategy. They also need to invest heavily in their IT human capital by way of increasing their IT personnel and establishing effective collaboration between non-IT and IT workers. Such steps would ensure the maximization of IT resources and facilitate efficient business-IT alignment. However, on the flip side, navigating a turbulent business environment can take its toll on employees who experience work exhaustion and become less satisfied with their jobs.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 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