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Enregistrement W193079371

Retaining Employees in Small and Medium-Sized Firms: Examining the Link with Human Resource Management

2006· article· en· W193079371 sur OpenAlexaboutno aff
Terry H. Wagar, Kent V. Rondeau

Notice bibliographique

RevueThe Journal of Applied Management and Entrepreneurship · 2006
Typearticle
Langueen
DomaineBusiness, Management and Accounting
ThématiqueOrganizational Downsizing and Restructuring
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésHuman resource managementEmployee retentionBusinessHuman resourcesMarketingRestructuringIndustrial relationsManagementEconomics
DOInon disponible

Résumé

récupéré en direct d'OpenAlex

Executive Summary While the 1990s were a decade characterized by downsizing and restructuring, there has been a recent focus on attracting and retaining quality employees. Very little research has addressed employee retention within small and medium-sized firms. This paper uses data from a national study of manufacturing organizations in Canada to investigate the relationship between employee quit behavior and human resource management issues. The results suggest that employee retention is affected by a host of factors that includes the system of human resource management practices, human resource strategy, and decision-making ideology. Introduction While researchers are now placing considerable attention on the links between human resource management (HRM) practices and the performance of the firm, most of this research has been conducted in large organizations (Wood, 1999; Wright, Gardner, Moynihan & Allen, 2005). Many of these studies have examined the impact of human resource systems on the financial performance of the organization. However, there is a paucity of research investigating whether the adoption of certain human resource management practices has the potential to affect employee retention rates (Stovel & Bontis, 2002; Batt, Colvin & Keefe. 2002). The current study uses data from small and medium-size manufacturing workplaces to investigate the factors associated with the ability of an establishment to retain employees. Why should small firms be concerned about retaining employees? There is a strong body of research indicating that employee turnover can be very costly (Griffith & Horn, 2001). Potential costs (Dess & Shaw, 2001) can include both direct costs (such as separation, replacement, training and general administration costs) and indirect costs (such as lower productivity and reduced customer loyalty). While the loss of quality employees can be devastating for both big and small firms, retaining key individuals may be particularly important for small and medium-size businesses - if a high-quality employee leaves the organization, a smaller firm may be less likely to have a suitable internal candidate or lack the resources to selectively recruit on the external market. Background Although most of the research addressing human resource management and firm performance has been conducted in large firm settings, small and medium-size businesses are now adopting human resource management practices with an expectation that these practices have the potential to positively impact firm performance (Way, 2002). Following from Heneman, Tansky and Camp's (2000) observation that there is a shortage of information on human resource management practices in smaller organizations, it is not surprising that there is very little research addressing the link between employee retention and human resource management. While there is an extensive body of research on employee turnover, almost all of the work by social scientists has been done at the individual (employee) level of analysis (Griffith & Horn, 2001). For instance, Kickul (2001) found that employer breach of factors addressing autonomy and growth (such as providing meaningful work, the opportunity to develop new skills, and recognition of accomplishments) and rewards and opportunities (for instance, providing opportunities for advancement and compensation tied to performance) were associated with a greater intention to quit among small business employees. However, the importance of studying employee turnover at the workplace or organizational level has been noted (Delery, Gupta, Shaw, Jenkins & Gangster, 2000; Batt, 2002). Shaw, Gupta and Delery (2005) recently investigated the relationship between voluntary turnover and organizational performance using data from employers in the trucking industry and organizations involved in the manufacturing of concrete pipe. They found that there was a negative relationship between voluntary turnover and organizational performance but that the relationship was attenuated as the level of voluntary turnover increased. …

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 enseignants

Ni 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.

score de la tête « metaresearch » (Codex)0,002
score de la tête « metaresearch » (Gemma)0,007
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: Observationnel
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,089
Score d'incertitude au seuil0,178

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0020,007
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0010,002
Études des sciences et des technologies0,0020,001
Communication savante0,0020,001
Science ouverte0,0010,001
Intégrité de la recherche0,0010,001
Charge utile insuffisante (le modèle a refusé de juger)0,0030,000

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.

Tête enseignante Opus0,014
Tête enseignante GPT0,183
Écart entre enseignants0,170 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_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 découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeObservationnel
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations35
Publié2006
Routes d'admission1
Résumé présentoui

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Même revueThe Journal of Applied Management and EntrepreneurshipMême sujetOrganizational Downsizing and RestructuringTravaux en français237 207