Individual- and Perceived Contextual-Level Antecedents of Individual Technical Information Inquiry in Organizations
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 authors conducted an empirical study in research and development centers and research-oriented commercial companies in Singapore to test a model for understanding individuals' technical information inquiry behavior in organization settings. Individual-level antecedents (learning orientation, risk-taking propensity, and self-efficacy) and perceived contextual-level antecedents (management support, relationship quality, organizational norms favoring technical information inquiry, and accessibility of the information source) were theorized to affect one's evaluation of the potential benefits and costs in making technical information inquiries. The results showed that the perceived norms favoring technical information inquiry affected the willingness of individuals to make technical information inquiries through the mediating variable, expectancy value. In addition, compared with individual-level variables, perceived contextual-level variables explained slightly more variance in the willingness to make technical information inquiries. Theoretical and practical implications are discussed.
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 | 0.003 | 0.001 |
| 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