Measuring the effectiveness of smart digital organizations on digital technology adoption: An empirical study of educational organizations in Indonesia
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
This study investigates the mediating effect of smart digital organizations on the relationship between digital leadership, digital talent scholarships, and learning management systems on digital technology adoption. This idea was tested using a quantitative methodology in this study. The research instrument was a questionnaire filled out by the respondents. Participants in this study were all lecturers and students at Palangka Raya University, Kalimantan, Indonesia. Two hundred thirty-six participants were randomly selected for this study, and data were analyzed using a structural equation model (SEM). This study found that digital leadership, digital talent scholarships, and learning management systems have a beneficial and statistically significant influence on digital technology adoption. In addition, smart digital organizations mediate the link between digital leadership, digital talent scholarships, and learning management systems on digital technology adoption. This research is helpful for higher education institutions because information technology is necessary to face the era of globalization. The novelty of this research offers its research analysis with quantitative analysis.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.005 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.002 |
| Open science | 0.001 | 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