Notice bibliographique
Résumé
Welcome to the first issue of the Journal of Work-Applied Management (JWAM) in 2024.The issue, released in the first half of 2024, reflects the emergence of artificial intelligence and how it is impacting the world of coaching (a prominent method of organisational change and development), well-being and applied strategizing in the dynamic contexts of volatile transport environments and entrepreneurship (also see the previous special issue on entrepreneurship).Once again, the editorial team, with the sterling support of the reviewers across the globe, offers an international issue with contributions from the UK, the US, the UAE, Canada, China, Ghana, India, Taiwan and Uganda.The first coaching article is "The library of Babel: assessing the powers of artificial intelligence in knowledge synthesis, learning and development and coaching" (Passmore and Tee, 2024), followed by "Hands up for homework: exploring inter-sessional activities in coaching" (Passmore et al., 2024).The juxtaposition of these articles highlights the need to consider the use of emerging digital technologies, which are increasingly effective, as well as one of the most popular interventions used within coaching (between sessions).Rendered through technology, coaching remains an exciting, evolving field of work-applied learning and management to monitor closely.The next six articles refer to well-being and healthcare in a broad sense.The first three are "A study on adaptive performance, work-related psychological health and demographics in Episcopal Church bishops" (Rowe et al., 2024), followed by "The influence of subordinates' proactive personality, supervisors' I-deals on subordinates' affective commitment and occupational well-being: mediating role of subordinates' I-deals" (Bhawna et al., 2024) and then "Employee empowerment and organizational commitment among employees of starrated hotels in Ghana: does perceived supervisor support matter?" (Kyei-Frimpong et al., 2024).These articles raise important insights about the linkages between personality, empowerment and commitment and how these can link to performance.These are important in applied research as they are a reminder of the differential outcomes of change efforts.The next three articles raise important meta well-being questions about industries or groups of people.They are "Healthcare employment landscape: comparing job markets for professionals in developed and developing countries" (Butt et al., 2024), "Intelligent careers and human resource management practices: qualitative insights from the public sector in a clientelistic culture" (Mouratidou et al., 2024) and "Paradoxical career strengths and successes of ADHD adults: an evolving narrative" (Crook and McDowall, 2024).Reading these articles together highlights the contemporary complex landscapes and environments that applied methods need to consider as they are adopted for positive change work.Within such contexts, however, it is crucial that we recognise the full spectrum of strengths and contributions within organisations (and society) and address exclusionthis does not benefit any organisational stakeholder.The final two articles are distinctive in terms of their industrial classification but complimentary in terms of how volatility and dynamism are understood and managed in organisations.First is "How do transport companies execute strategies in a volatile JWAM 16,1 2
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,005 | 0,032 |
| Méta-épidémiologie (sens strict) | 0,004 | 0,001 |
| Méta-épidémiologie (sens large) | 0,003 | 0,002 |
| Bibliométrie | 0,004 | 0,001 |
| Études des sciences et des technologies | 0,004 | 0,002 |
| Communication savante | 0,008 | 0,004 |
| Science ouverte | 0,003 | 0,001 |
| Intégrité de la recherche | 0,009 | 0,010 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,060 | 0,048 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».