Global Talent Management: A Critical Review and Research Agenda for the New Organizational Reality
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
Global talent management (GTM) refers to management activities in a multinational enterprise (MNE) that focus on attracting, motivating, deploying, and retaining high performing and/or high potential employees in strategic roles across a firm's global operations. Despite the critical importance for individual and firm outcomes, scholarly analysis and understanding lack synthesis, and there is limited evidence that MNEs are managing their talent effectively on a global scale. In this article, we review the GTM literature and identify the challenges of implementing GTM in practice. We explore how GTM is aligned with MNE strategy, examine how talent pools are identified, and highlight the role of global mobility. We discuss GTM at the macro level, including the exogenous factors that impact talent management and the outcomes of GTM at various levels. Finally, we identify some emerging challenges and opportunities for the future of GTM.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.004 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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