Examining the mediating role of user attitudes in the relationship between social media characteristics and e-project management adoption: An empirical analysis
Bibliographic record
Abstract
This paper explored how social media characteristics affected users’ attitudes toward the utilization of Greater Amman Municipality (GAM) e-project management located in Jordan. Data were collected through online survey, involving 456 GAM e users, and analyzed using partial least squares-structural equation modelling. Results showed user attitudes and social media characteristics (reliability, security and website design) as direct significant antecedents of GAM e-project management usage. Furthermore, three direct significant relationships were shown between social media characteristics and GAM e-project management usage. Results also demonstrated three direct significant relationships between social media characteristics and users’ attitudes. Next, results showed one direct significant relationship between users’ attitudes and GAM e-project management usage. Three indirect significant relationships between social media characteristics and GAM e-project management usage were detected via mediation of users’ attitudes. This study recommended (among others) paying attention to other social media characteristics that have impact on GAM e-project management usage, namely, responsiveness, privacy, and site content.
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How this classification was reachedexpand
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 | 0.007 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".