Organizational and comparative institutionalism in international<scp>HRM</scp>: Toward an integrative research agenda
Bibliographic record
Abstract
Abstract Over the past two decades, a growing body of research on human resource management (HRM) has analyzed the relationship between international HRM and institutions. This work has primarily been informed by two leading streams of theory—organizational institutionalism and comparative institutionalism. However, these two dominant streams have seen much juxtaposition, but little logical integration. Moreover, scholars have paid little attention to the dynamics of contextualization (more specifically, institutional development and evolution), which limits the relevance of extant research. In this article, we review the extant literatures and their intellectual origins and develop an integrative research agenda that emphasizes the multilevel nature of HRM and evolution under external institutional change.
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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 | 0.014 | 0.010 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.007 | 0.008 |
| Science and technology studies | 0.003 | 0.035 |
| Scholarly communication | 0.015 | 0.019 |
| Open science | 0.001 | 0.008 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.003 | 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".