Collaborative advantage and collaborative inertia in a micro level study of interorganizational relationships (IORs) between Canadian sport and recreation organizations
Notice bibliographique
Résumé
In 2002, the Canadian government released a new Sport Policy that has included 'enhanced interaction' as one of its four goals for sport organizations (Canadian Heritage, 2002). Research on interorganizational relationships (IORs) specific to the Canadian sport context has suggested that while broad potential benefits exist for organizations seeking to build linkages (Thibault & Harvey, 1997), organizations need to be aware of the challenges that are involved in managing IORs (Thibault, Frisby & Kikulis, 1999; Thibault, Kikulis, & Frisby, in press; Frisby, Thibault, & Kikulis, in press). The purpose of the study was to examine collaborative advantage and collaborative inertia in IORs between a sport organization and recreation organizations using Huxham and Vangen's (2000a) conceptual framework. Studying the IORs of a provincial sport organization (PSO) involves a stakeholder group that has not been the object of previous IOR research in Canadian sport, despite the suggestion that a more comprehensive understanding of different stakeholder perspectives was needed (Thibault & Harvey, 1997). Huxham and MacDonald's research found that both collaborative advantage (achieving a result that each individual organization could not achieve alone) and collaborative inertia (where IORs do not move forward, leading to frustration) are possible outcomes of relationships (1992). Huxham and Vangen's (2000a) seven factors causing collaborative inertia were used to understand the extent to which inertia was present in the cases studied, and how inertia in the IORs was being managed. In this qualitative study, data gathered from document analysis, information meetings and observations, and semi-structured interviews revealed that collaborative advantage was achieved in the two relationships between a PSO (Tennis BC) and two municipal recreation departments (Lake City and River City). The findings also suggest that the factors leading to collaborative inertia existed in different amounts in these IORs. The inertia present existed in two different forms. The first was related to Huxham and Vangen's factors that described collaborative inertia emerging from organizational sources, and the second was related to individual sources, such as difficulties in communicating, negotiating power and trust, and negotiating autonomy. Another significant finding suggested that divergent expectations that emerged at the end of the first year of the IOR present a threat for increased collaborative inertia in the future of these IORs if not adequately managed. The role of IORs is increasingly important to sport organizations in Canada (cf. Babiak, 2003; Glover, 1999a; 1999b; Thibault et al., 1999; in press; Frisby et al., in press). Researchers have overlooked understanding the challenges of managing these relationships until recently (Frisby, et al., in press). Findings from this study support the notion that factors emerge during collaborative actions between organizations that pose a threat to realizing the advantages identified during the formation of IORs. Continued research on the process of managing IORs is needed to better understand how inertia can be limited to ensure Canadian sport organizations maximize advantage through these relationships.
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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 | 0,007 | 0,018 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,004 | 0,004 |
| Études des sciences et des technologies | 0,018 | 0,012 |
| Communication savante | 0,008 | 0,003 |
| Science ouverte | 0,001 | 0,007 |
| Intégrité de la recherche | 0,001 | 0,002 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,003 | 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 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 ».