Host-country characteristics, corporate sustainability, and the mediating effect of improved knowledge
Bibliographic record
Abstract
Purpose Under the premise of resource-based view (RBV), this study aims to examine the influence of host-country characteristics (i.e. market environment, cultural factors, government policies and absorptive capacity) on improved knowledge acquired by means of intra-firm technology transfer and the latter’s subsequent effect on corporate sustainability among subsidiaries of foreign multinational corporations (MNCs) in Malaysia. Design/methodology/approach The following study adopted a cross-sectional design. Quantitative data were collected through structured interview from the representatives of selected 252 subsidiaries of foreign-based MNCs located in Peninsular Malaysia. Findings The findings of this study revealed that market environment, government policies and absorptive capacity significantly affect the adoption of innovative knowledge, which also has a significant positive effect on corporate sustainability. The findings also revealed a partial mediation of improved knowledge between market environment, government policies and absorptive capacity on corporate sustainability. Research limitations/implications This study recommends that the host country should formulate and adopt trade and FDI friendly policies, as well as stricter intellectual property laws, and, at the same time, provide higher education and training to its citizens to maximize foreign investment and knowledge transfer. Originality/value Apart from highlighting the under-researched issue of organizational sustainability, this study is unique in its approach of connecting the external environment of the host country with the internal knowledge of the firm and corporate sustainability in a single framework. The empirical findings of this study support the hypothesized relationships and thereby extend the scope of the contingency theory and RBV in addition to simultaneously enriching the existing intra-firm knowledge management literature, particularly in the Malaysian context.
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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 | 0.002 | 0.011 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| 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".