International Management Behavior : Global and Sustainable Leadership
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
Combining a wealth of theoretical knowledge with a diversity of real-world examples, this edition equips future global leaders with the tools they need to lead sustainably and with impact. Rigorously revised, the ninth edition of this successful, established textbook is ideal for current and future global leaders who want to lead international businesses sustainably and with impact. Combining a wealth of theoretical knowledge with real-world situations from diverse cultures, countries and industries, the book brings key concepts to life, while offering tools and strategies for putting them into practice. Reflecting global trends, this new edition features a greater focus on culture, virtual teams, leadership paradoxes, digital transformations, and a mindset-centered approach to dynamic change. All-new examples and cases contribute to bringing the book completely up to date, while reflection questions and a rich suite of online teaching resources (including suggested student exercises and classroom activities, teaching notes, further resources, and access to Aperian Globesmart), make this an essential tool for developing mindful, global leaders
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.016 | 0.001 |
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