Organizational enablers and outcomes of IT affordance actualisation: a socio-technical perspective on knowledge sharing
Bibliographic record
Abstract
Using the IT affordance lens, this study presents a holistic socio-technical view of the organisational factors that affect the knowledge-sharing (KS) behaviour of employees. It develops and empirically validates a conceptual model that theorises the relationships between KS affordances, organisational culture, management support, and peer KS in order to specify how these relationships shape the KS behaviour of employees. Data for this study was collected using a survey of a large pool of public service employees working at various government agencies (n = 4,090 respondents). The results of this study provide evidence that KS affordances offered by both traditional KS information systems and by enterprise social media increase employees’ overall willingness to share their knowledge. However, these results also show that KS affordances are more likely to be perceived when organisational culture favours KS, and that management support moderates the relationship between KS affordances and employees’ KS behaviour.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.013 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.002 | 0.006 |
| Scholarly communication | 0.006 | 0.005 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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 source (direct Gemma or distilled Codex), 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".