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Key Competencies for Promoting Service Innovation: What are Implications for the Health Sector?

2015· article· en· W2139331753 sur OpenAlexvenueno aff
Temidayo O. Akenroye, Christoph W. Kuenne

Notice bibliographique

Revue˜The œinnovation journal · 2015
Typearticle
Langueen
DomaineBusiness, Management and Accounting
ThématiqueInnovation and Knowledge Management
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésBusinessHealth carePopulationService innovationHealth technologyPublic sectorMarketingPublic relationsService (business)Knowledge managementMedicineEconomic growthEconomicsPolitical science
DOInon disponible

Résumé

récupéré en direct d'OpenAlex

ABSTRACTThe aim of the paper is to identify the essential competencies required to promote service innovation. The paper is based on a systematic literature review of published studies on service innovation competencies, from which seventeen competencies which aided service innovation were identified. A framework was then developed in which the competencies are classified into five organisational practices: knowledge management, employee engagement and user empowerment, cooperation and collaboration, effective leadership and agility. The paper discusses the implications of the findings for the health sector and future research.Keywords: service innovation, competencies, systematic literature review, health sectorIntroductionThe health sector represents almost 10 percent of the global economy and comprises a variety of stakeholders, including patients, regulators, providers, payers and suppliers (Kennedy and Berk, 2011). The challenges facing this sector are growing, especially because when the aging population increases, more people will need sustainable healthcare. The reduction of expenditure in the public sector has affected healthcare financing, leading to an inadequate health budget for current population levels. In addition, healthcare consumers have increasing expectations. Other problems facing the health sector are variable patient needs, skills shortages, variations in treatment options, cost and quality (Varkey, Horne and Bennet, 2008; Omachonu and Einspruch, 2010).Innovation has been identified as a key step towards addressing the existing problems of healthcare (Govindarajan, 2007). However, most innovation in the health sector is focused on clinical products and medical technology. Medical research has brought about extraordinary advances in diagnosis and treatments (Grose, 2008). For example, the advent of various smart medical technologies means that doctors can detect major illnesses earlier without facing the risk of complications. In addition, the use of computerised equipment has made it possible to deliver home based treatments for patients with major illnesses such as hypertension, stroke and renal diseases (Clark, 2008).Despite the fact that policy makers are paying increasing attention to innovation in the health sector, service innovation is a critically neglected area of healthcare research (Adams, 2003). This may be due to the fact that product and technological innovation has captured the attention of researchers. Unlike product innovation, service innovation is less radical and tends to implement incremental changes in organizational processes (Bernardt, 2000: Menor et al., 2002). Considering the aging population and reductions in health budgets, service innovation is a necessary response to the diverse challenges facing the health sector (Peckham, 2000).Successful service innovation has been associated with organisational competencies and capabilities (Stevens and Dimitriadis, 2005). According to Schilling (2011), competencies supporting service innovation can be defined as a combination of the knowledge, skills and organisational procedures which would assist individuals to perform their tasks collectively. The aim of this paper is to identify some fundamental competencies and practices that are used to promote service innovation in the literature.Based on this, lessons and suggestions will be drawn for the health sector. The following questions will be addressed: (1) Which competencies are referred to in the literature as supporting service innovation? (2) Which management or organisational practices are related to these competencies? (3) What are the implications of these competencies and their corresponding management practices for the health sector?The paper is structured as follows. Initially, we will conduct a systematic review of the literature to identify the competencies and capabilities of service innovation. We will then summarise these competencies into five key practices or areas of focus for promoting service innovation. …

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)0,039
score de la tête « metaresearch » (Gemma)0,110
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 enseignants0,039
Score d'incertitude au seuil0,206

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0390,110
Méta-épidémiologie (sens strict)0,0010,001
Méta-épidémiologie (sens large)0,0020,002
Bibliométrie0,0060,006
Études des sciences et des technologies0,0020,004
Communication savante0,0080,011
Science ouverte0,0020,005
Intégrité de la recherche0,0030,005
Charge utile insuffisante (le modèle a refusé de juger)0,0090,001

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 Opus0,119
Tête enseignante GPT0,310
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

Citations11
Publié2015
Routes d'admission1
Résumé présentoui

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