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Enregistrement W2111311380

Twinning as an innovative practice in public administration: An example from the Netherlands

2012· article· en· W2111311380 sur OpenAlexvenueno aff
Philip Marcel Karré, Mark van Twist

Notice bibliographique

Revue˜The œinnovation journal · 2012
Typearticle
Langueen
DomaineSocial Sciences
ThématiquePublic Policy and Administration Research
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésPublic relationsGeneral partnershipPublic sectorService (business)Service providerBusinessPolitical scienceMarketingLawFinance
DOInon disponible

Résumé

récupéré en direct d'OpenAlex

ABSTRACTThe purpose of this article is to assess twinning as an innovative experiment in interagency collaboration. We do this by describing the twinning of two Dutch governmental agencies, the Immigration and Naturalisation Service (IND) and the Social Insurance Bank (SVB). We focus on the rationale behind this partnership and the activities undertaken and evaluate the twinning using two different frameworks, a means-ends approach and a multiple process model. By doing so we not only assess whether the twinning of IND and SVB can be seen as an innovative experiment in interagency collaboration but also how such practices can best be evaluated.Key words: Interagency collaboration, twinning, evaluation.Introduction: collaboration as a challengeOver the last ten years or so, judged by the vast number of academic and practical books and magazine and journal articles published on the subject, collaboration between organizations has become a key issue in both the commercial and public sector. As resources are scarce and the action autonomy of any individual actor limited at best, alliances and networks become increasingly important for the success and, ultimately, the survival of any organization.In both the public and the private sectors, organizations hope to achieve innovation and synergy by working together across their boundaries. Enterprises collaborate to develop new products, open up markets, share risks, make investments and develop knowledge (Barringer & Harrison, 2000; Doz, 1996; Reuer, 2004). Public agencies form alliances and networks to provide better services to clients with complex problems and to achieve a joint effort in tackling wicked social problems. Collaboration is also used as a tool to open up bureaucratic organizations and to let them learn from more successful ones (Bason, 2010; De Ridder, 2007; O'Leary & Blomgren Bingham, 2009; Yoshino, 1996).Collaboration is widely used as a buzzword today, but some critical work has been published (cf. Lotia & Hardy, 2008). Organizations trying to cooperate with each other often find this a challenging enterprise. The time and money cost of organizing cooperation often seem to be the main constraint in the private sector. Not surprisingly most collaboration initiatives fail in the commercial world: according to Darby (2006) up to 70% of partnerships do not deliver on their promises, a truly staggering percentage.In the public sector, collaboration often is difficult due to the fragmented nature of government as a result of the shortcomings of both traditional bureaucracy and New Public Management (NPM). Traditional bureaucracy, with its focus on functional differentiation, often impedes collaboration as it leads to departmentalism and the creation of silos or stovepipes. New Public Management practices are equally prone to hampering collaboration, as NPM's focus on performance tends to favour competition rather than cooperation (Christensen & Lae greid, 2007; Head & Alford, 2008).In order to unlock collaboration's promises and to overcome its difficulties, organizations in the public and the private sector are on the lookout for new, innovative practices which help them overcome the challenges of collaboration. We discuss one such practice in this paper, the twinning between two Dutch agencies, the Immigration and Naturalisation Service (IND1) and the Social Insurance Bank (SVB2). We describe the rationale behind this partnership and the activities to which it led and follow this by an evaluation using two different frameworks: a means-ends approach and a multiple process model. By doing so, we not only discuss whether the twinning we describe can be seen as an innovative practice but also how experimental forms of collaboration could best be assessed.MethodThis article is based on an action research project (Lewin, 1946; Argyris, Putnam & Smith, 1985; Stringer, 2007) we conducted at the behest of IND and SVB during the entire course of their twinning. …

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 distillée sur la base complète

Imitation des enseignants

Ni 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.

score de la tête « metaresearch » (Codex)0,012
score de la tête « metaresearch » (Gemma)0,002
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesÉtudes des sciences et des technologies, Communication savante, Charge utile insuffisante (le modèle a refusé de juger)
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,874
Score d'incertitude au seuil1,000

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0120,002
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,004
Études des sciences et des technologies0,0020,000
Communication savante0,0010,005
Science ouverte0,0010,000
Intégrité de la recherche0,0000,001
Charge utile insuffisante (le modèle a refusé de juger)0,0010,000

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 Opus0,179
Tête enseignante GPT0,447
Écart entre enseignants0,268 · 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 tête enseignante, pas un consensus.

Devis d'étudeSans objet
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

Citations5
Publié2012
Routes d'admission1
Résumé présentoui

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