The effects of old-age stereotypes on organizational productivity (part two)
Notice bibliographique
Résumé
Purpose – The purpose of this paper is to examine common stereotypes regarding old-age workers and the effect of these stereotypes on organizational productivity, as well as to suggest practical solutions for accommodating old-age workers and increasing productivity in all employees. Design/methodology/approach – This three part paper will present a thorough review of relevant literature (1991-2014, with the exception of two studies from 1976) that were conducted on the topics of old-age stereotyping, the effect of old-age stereotyping on organizational productivity, and methods for adequately motivating and managing old-age workers. Studies concerning psychology theories are also examined in order to provide a framework for practical solutions, as well as demographic statistics on population age and employment trends. Findings – This paper identifies a number of old-age stereotypes that have decreased organizational productivity in empirical studies, including reluctance to change, decreased learning ability, intelligence and memory, poor health and accidents, higher organizational costs, decreased motivation, and low innovation and productivity. Findings also suggest that old-age workers can positively affect productivity, and that low productivity is often a result of stereotyping. Research limitations/implications – The prevalence of old-age stereotyping and its impact on organizational productivity may differ by culture, industry, type of employment, education level, and other factors, and thus further research may be necessary. The literature reviewed may not adequately represent worldwide organizational trends, as the literature is largely comprised of studies performed in North America and Europe. Practical implications – Solutions based on these findings are taken directly from the literature or derived from literature on psychology theories, which include self-determination theory, socioemotional selectivity theory, and selective optimization and compensation theory. The practical solutions proposed address work environment, motivation, rewards, flexibility, and the loss and gain of resources in old-age workers. Social implications – The proportion of old-age workers is increasing and it is therefore necessary to determine ways to adequately integrate old-age workers in the workforce. Furthermore, this can raise productivity in all employees. Originality/value – This paper demonstrates that old-age stereotyping is both prevalent and detrimental within an organizational context. These findings and solutions can potentially be used by organizations in order to increase individual and overall productivity.
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Comment cette classification a été obtenuedéplier
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 | 0,002 |
| 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 | 0,001 | 0,001 |
| 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) | 0,000 | 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 ».