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Systemic Innovation Model Translated into Public Sector Innovation Practice

2015· article· en· W800232937 sur OpenAlexvenueno aff
Juha Koivisto, Pasi Pohjola, Niina Pitkänen

Notice bibliographique

Revue˜The œinnovation journal · 2015
Typearticle
Langueen
DomaineBusiness, Management and Accounting
ThématiqueInnovative Approaches in Technology and Social Development
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésKnowledge managementOpen innovationPublic sectorInnovation managementBusinessComputer scienceEconomics
DOInon disponible

Résumé

récupéré en direct d'OpenAlex

ABSTRACTThis paper explores a systemic innovation model and its translation into public sector innovation practice in the welfare and health field. This systemic innovation model has been developed in the Innovillage project (2009-2013) and it has been incorporated into an open web-based development environment for enabling and enhancing collaborative innovation activity. Innovillage is a national innovation community for innovation activities in the welfare and health field in Finland. The paper argues for a systemic and collaborative innovation practice where the actors with respect to the object of development co-design, co-develop and co-enact the object through the innovation process. The paper consists of three parts. The first part defines the basic concepts and content of the systemic innovation model. The second part describes the structure of the web-based development environment for enabling and enhancing collaborative innovation activity. The third part analyses the user experiences of collaborating and co-developing in the web-based environment. In the discussion implications are drawn, on the basis of the analysis of user experiences, for the further development of the systemic innovation model, web-based development environment and public sector innovation practice.Keywords: public sector innovation, systemic innovation model, socio-materiality, involvement, co-development.IntroductionThis paper explores a systemic innovation model developed in the Innovillage project (2009-2013) and its translation into public sector innovation practice in the welfare and health field. The model has been incorporated into an open web-based development environment for enabling and enhancing collaborative innovation activity. The Innovillage project as a whole developed a national innovation community in the social and health field in Finland. Innovillage is coordinated by the Ministry of Social Affairs and Health and jointly maintained and further developed by the National Institute for Health and Welfare, the Association of Finnish Local and Regional Authorities, and the Finnish Society for Social and Health.During the last decade innovation has become the organizing concept that drives almost every research, development and policy agenda. However, the fuzzy discussion about innovations has vitiated the whole concept. People typically identify innovations with ideas, models or inventions, and then every research and development project seems to produce innovations. Innovations are also talked about as if they were objects which could be transferred from site to site as such. Once an innovation has been made, it can be implemented everywhere. 3This innovation model shifts the focus of innovation discourse from the blurred concept of innovation to the socio-material constituents of the objects of development and from the userdriven or user-centered innovation process to the co-creation and co-development activities of shared objects of development. It studies any kind of object of development, a product, a technology, a service, etc., as a socio-material system or assemblage. When designing any kind of object of development, it is vital to notice every element that has to be mobilized to translate it into practice, to enact it, and to get it to work.The innovation model proposes a collaborative innovation activity, where the actors or stakeholders with respect to the object of development are recruited and involved in the innovation activity from the very beginning. The argument runs as follows: because any kind of object, such as a technology, a product, a service, and a structure, is studied as a socio-material assemblage and practice that is locally constituted by heterogeneous elements (human actors, artifacts, rules, laws...), it is useful to persuade, recruit and involve the potentially relevant actor groups with respect to the object under development in co-developing and co-designing it. …

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)0,009
score de la tête « metaresearch » (Gemma)0,009
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Qualitatif · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: aucune
Score de désaccord entre enseignants0,009
Score d'incertitude au seuil0,056

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0090,009
Méta-épidémiologie (sens strict)0,0010,000
Méta-épidémiologie (sens large)0,0000,001
Bibliométrie0,0020,002
Études des sciences et des technologies0,0020,012
Communication savante0,0060,005
Science ouverte0,0010,005
Intégrité de la recherche0,0030,002
Charge utile insuffisante (le modèle a refusé de juger)0,0070,001

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 Opus0,093
Tête enseignante GPT0,284
Écart entre enseignants0,191 · 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'étudeQualitatif
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
Publié2015
Routes d'admission1
Résumé présentoui

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