Human resources perspectives on the management of conferences as events in Kenya.
Notice bibliographique
Résumé
This chapter explores the nature of the Kenyan event industry, and in particular its human resource management practices. Interviews were conducted of two event organizers and, owing to a request for anonymity, Company A and Company B shall be used to discuss the results. Findings show that Kenya does not yet have a mature and extensive event industry. However, there is evidence that the industry is being developed at a high rate. Research into human resource management and other aspects of events management is also lacking. The market is not saturated as yet, and hence the future of the market depends on matching the needs of the organizers with the provision of appropriate venue facilities and services. It is argued that a review of literature points to need for a comprehensive and integrated human resource management strategy, encompassing innovative recruitment, selection, training, development and performance management techniques, which will effectively contribute to the events industry productivity and profitability. The event industry in Kenya appears to be characterized by: a culture of 'casualization', like its international competitors; significant gender imbalances; and a largely transient workforce, which is relatively underpaid and underrepresented by industry unions. As a highly labour-intensive industry, it is also disproportionately expensive, at times less productive or profitable than its counterparts. Human resource management practices remain fragmented and short-term oriented, and without direct significance to overall events productivity. Recent developments in the establishment of a plethora of tourism training institutions and colleges, coupled with portable national competency standards for a variety of hospitality and tourism occupations, will no doubt ensure a skilled pool of potential employees in the area of concern. Linking such training to individual occupational criteria and supplementing it with thorough orientation programmes, on-the-job training modules and appropriate supervision will no doubt fill this previous gap in human resource management for the event management industry. Owing to the continued growth of conference and meeting events in Kenya, the organizing clientele will have to become more experienced and, as a result, demand more specific responses to their needs. The quality of provision and value for money are, therefore, key factors that event organizers in Kenya must recognize if they are to sustain and increase their market share.
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Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,001 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,001 | 0,000 |
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 tête enseignante, 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 ».