Does Engaging in Global Market Orientation Strategy Affect HEIs’ Performance? The Mediating Roles of Intellectual Capital Readiness and Open Innovation
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
This study aims to examine the effect of global market orientation strategy on the performance of Indonesian Higher Education Institutions. Furthermore, it investigates whether this relationship is mediated by intellectual capital readiness and open innovation. This is a quantitative study employing a multi-mediation research model conceptualizing the relationship among the five constructs. This study employs a resource-based view to explain the relationships among constructs and partial least squares-structural equation modeling to test the hypotheses studied. A sample of 119 schools/faculties, derived from the 50 best state and private institutions in Indonesia and based on the Webometrics 2021, was used. This research reveals the following main results. First, intellectual capital readiness fully mediates the influence of global market orientation strategy on the institutions’ performances. Second, open innovation does not mediate the effect of global market orientation strategy on institutions’ performances. This study is the first attempt to understand how global market orientation strategy enhances institutions’ performances via intellectual capital readiness and open innovation. This study reveals the insignificant effect of open innovation on performance. Thus, the main implication of these findings is that institutions need to downstream their innovations to the community for future performance and communities’ benefits. The applied execution does matter in the open innovation–institution performance relationship.
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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 | 0.004 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.005 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 it