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Enregistrement W892864693

Studying the Impact of Innovation on Organizations, Organizational Populations and Organizational Communities: A Framework for Research

2014· article· en· W892864693 sur OpenAlex

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venuePublié dans une revue dont le pays d'attache est le Canada.
no affAucune affiliation canadienne : ce travail est invisible pour une base fondée sur la seule affiliation.
Aucune affiliation canadienne. Une base fondée sur la seule affiliation (le devis habituel) n'aurait jamais vu ce travail. C'est l'un des travaux qui justifient l'inversion de la base.

Notice bibliographique

Revue˜The œinnovation journal · 2014
Typearticle
Langueen
DomaineBusiness, Management and Accounting
ThématiqueManagement, Economics, and Public Policy
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésOrganizational studiesOrganizational analysisOrganizational learningOrganization developmentOrganizational effectivenessOrganizational ecologyPublic sectorOrganizational structureOrganizational performanceKnowledge managementPopulationBusinessConceptual frameworkSociologyMarketingEconomicsManagementComputer scienceSocial science
DOInon disponible

Résumé

récupéré en direct d'OpenAlex

ABSTRACTThis paper examines whether and how the of innovation on organizations can be determined. Following a discussion of four possible conceptual paradigms, it develops a framework for studying the of innovations on their organizations. The paper argues that there are four main aspects to the of innovation that require four different approaches:(1) Successful and unsuccessful cases of implementation of individual innovations that achieve/do not achieve their chosen objectives and the effects of innovations on (2) employees, (3) organizational functioning, and (4) Organizational structures. Accordingly, it frames the research within four possible research approaches (case studies, people, functions, structures), loosely based on Burrell and Morgan's (1979) and Gioia and Pitre's (1990) organizational paradigms. The first approach focuses research on the of individual innovations on individual issues and individual organizations, organizational populations, and organizational communities. The second approach studies impacts on people; the third emphasizes inputs and organizational adaptation; and the fourth the on structures and survival of organizations, populations and communities. The framework identifies definitions of innovation suitable for each approach, what each approach is most suited to studying, their levels of analysis, suitable methodologies and measures, and the types of impacts each is capable of revealing.Keywords: Impact of innovation, innovative organization, innovative organizational population, organizational community, organizational demography; research framework.IntroductionWhile private sector, non-profit sector and public sector innovation has been vigorously promoted for two generations, the impacts of innovation have not been determined. When the impacts of innovation have been addressed, the focus has tended to be the effect on economic performance at the firm (Evangelista and Vezzani, 2010) and country levels (Sapprasert and Clausen, 2012). During this period, the primary focus of public sector innovation has been strategies and methods to reduce use of public resources, create agencies and privatize government functions (the New Public Management), not the of the innovations. Several authors have noted the lack of attention to the impacts of the set of innovations known as the New Public Management (Christensen and Laegreid, 2006: 2; Pollitt, 2001: 480). Damanpour (1991: 584) recommended expanding the scope of innovation studies to include evaluation of the consequences of innovation.The innovation literature has tended to focus on the successful implementation of innovations and making appropriate tactical choices about when to innovate and when to delay/selectively adopt innovations (de Lancer Julnes and Holzer, 2001). There is much to be learned, however, from innovations that fail, but they are difficult to research. A clear distinction must be made between innovations that are not fully implemented or that fail and ones that are fully implemented and accomplish their objectives in determining the effect on organizational survival. As well, organizations have many other objectives that include supporting employees, achieving organizational objectives and assuring the organization survives. This paper's objectives are to identify ways to determine the of innovations on their organizations and to develop a research framework for doing so. The term impact is defined to include both the results of the innovation's intervention (outcomes) and the broader effects of the innovation. The paper builds a framework for research on the of innovation on organizations that addresses both the of individual innovations and innovations' impacts on organizational people, functioning and structures. Each approach is seated within a different conceptual paradigm. The paradigms are described, then the paper develops an approach and explores innovation within each paradigm, by discussing the different definitions of innovation used by each approach, what each is most suited to studying and the issues that can best be studied within them, levels of analysis implied, methodologies and measures that could be used, and the impacts that can best be studied within each approach. …

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.

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)0,004
score de la tête « metaresearch » (Gemma)0,003
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesÉtudes des sciences et des technologies
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Théorique ou conceptuel · Signal consensuel: Théorique ou conceptuel
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,317
Score d'incertitude au seuil0,999

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0040,003
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0010,007
Études des sciences et des technologies0,0020,000
Communication savante0,0010,001
Science ouverte0,0000,000
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0000,000

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 Opus0,125
Tête enseignante GPT0,366
Écart entre enseignants0,241 · 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