Is Introversion an Obstacle in Tacit Knowledge Sharing through Socialization? A Study on how Personality Traits Influence Knowledge Sharing Behavior
Bibliographic record
Abstract
In today’s knowledge-based economy, efficient management of an organization’s intellectual capital is becoming increasingly important. Tacit knowledge, as opposed to explicit knowledge, is an organization’s most vital knowledge, and this knowledge should be shared among co-workers in an efficient way. It is therefore crucial for managers to be aware of which factors that have an either positive or negative impact on the sharing of tacit knowledge. Personality is a factor that influence tacit knowledge sharing. Tacit knowledge is best shared through practices that require social interaction. This paper investigates the relation between tacit knowledge sharing and introversion in particular. Introverts are perceived to be withdrawn, quiet, and to have poorer social skills than extraverts, and therefore might have an inhibiting effect on knowledge sharing. However, by examining existing literature, this paper shows that typical introverted personality traits serve as both motivators and obstacles in tacit knowledge sharing.
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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 | 0.002 | 0.010 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".