ORGANIZATIONAL PERFORMANCE WITH ENVIRONMENTAL KNOWLEDGE INTENSITY: RESOURCE- VS. KNOWLEDGE-BASED PERFORMANCE
Bibliographic record
Abstract
In the current knowledge-oriented society, knowledge is a core strategic component for organizations. Successful knowledge management is therefore a key factor in organizational performance. At the same time, some studies have assumed that knowledge management performance is distinguished from the general features of organizational performance. Thus, this study conceptualizes organizational performance. With data collected from 150 Korean firms, we examine a two-factor model in which organizational performance consists of two different dimensions: knowledge management performance and firm performance. In addition, the twofactor model is analyzed across two sub samples (i.e., high and low knowledge-intensive firms) divided by environmental knowledge intensity, a key contextual factor on which organizational performance depends. Our findings raise issues on the causal relationship between knowledge-based success and firm performance, also suggesting the contingency understanding of organizational performance across organizations and industries. On the basis of the results, we discuss implications and future directions.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.002 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.003 |
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".