CIO lateral influence behaviors: gaining peers' commitment to strategic information systems
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
In order to develop and bring to fruition strategic IT initiatives, Chief Information Officers (CIOs) must be able to effectively influence their peers. However, little is known about how this is accomplished. Accordingly, this research examines the relationship between CIO influence behaviors and successful influence outcomes. Focused interviews were first conducted with CIOs and their peers so as to gain insights into the phenomenon and to refine a research model. Then a survey instrument was developed and distributed to CIOs and their peers to gather data with which to test the research model. The findings showed that rational persuasion and personal appeal led to peer commitment whereas exchange and pressure did not. These results provide guidance to CIOs who propose strategic information systems to peers.
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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 | 0.002 | 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 | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.013 |
| 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