Organizational Adoption of Information Security Solutions
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 systems literature has cast organizational information security practices as a form of innovation. Using the notions of innovation adoption and diffusion of innovations, this paper develops an integrative model grounded in two theoretical perspectives- diffusion of innovation theory and the technologyorganization- environment framework-to examine the adoption of information security solutions (ISS) in organizations. We specify four innovation characteristics that are specific to ISS (compatibility, complexity, costs, and perceived gain), two organizational factors (organizational readiness and top management support), and two environmental factors (external pressure and visibility) as influential toward ISS adoption. We tested our model using data collected through a survey of 368 information systems managers in North American organizations. Our findings are insightful and have important theoretical and practical implications. Overall, the results suggest that organizational and environmental factors contribute to the extent of ISS adoption above and beyond characteristics of ISS themselves. The results are consistent across two measures of ISS adoption- perceived and (self-reported) actual-thereby supporting the robustness of our findings.
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 | 0.001 | 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 | 0.000 | 0.031 |
| Open science | 0.002 | 0.001 |
| 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