Resource-based management and organizational performance: The role of co-creation, environmental policy and organizational learning support
Bibliographic record
Abstract
In today's rapidly evolving business environment, driven by technological advancements and increasing stakeholder expectations, firms must strategically innovate to ensure long-term success and competitiveness. This study examines the interconnections between co-creation, resource-based management, environmental policy, organizational learning support, and organizational performance within the framework of Industry 4.0, grounding its analysis in the resource-based view theory. Focusing on the emerging market context of Vietnam, the research utilizes data collected by means of a survey of 321 managers across various industries, applying Partial Least Squares Structural Equation Modeling to explore these respondents’ perspectives on the relationships between the factors listed above. The findings provide actionable insights and strategic recommendations of relevance to companies which aim to thrive in the dynamic landscape of Industry 4.0, particularly in emerging markets. This study contributes to the existing literature by offering practical implications for the optimization of resource management and enhancement of organizational performance in the context of ongoing industrial transformation.
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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 | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 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".