Mapping Knowledge Governance

2020 ◽  
Keyword(s):  
Knowledge Governance

scholarly journals The mechanisms of knowledge governance: State owned enterprises and Italian economic growth, 1950–1994

2014 ◽  
Vol 31 ◽  
pp. 43-63 ◽  
Author(s):  
Cristiano Antonelli ◽  
Federico Barbiellini Amidei ◽  
Claudio Fassio
Keyword(s):  
Economic Growth ◽  
Knowledge Governance

scholarly journals Knowledge Governance: Meaning, Nature, Origins, and Implications

2011 ◽  
Author(s):  
Nicolai J. Foss
Keyword(s):  
Knowledge Governance

scholarly journals Factors affecting knowledge governance implementation among Malaysian SMEs

2018 ◽  
pp. 405-416 ◽  
Author(s):  
Khong Sin Tan ◽  
Yee Yen Yuen ◽  
Le Ngoc Ha
Keyword(s):  
Factors Affecting ◽  
Knowledge Governance

Knowledge governance: An exploration of principles, impact, and barriers

2013 ◽  
Vol 40 (5) ◽  
pp. 604-615 ◽  
Author(s):  
A. L. Gerritsen ◽  
M. Stuiver ◽  
C. J. A. M. Termeer
Keyword(s):  
Knowledge Governance

Knowledge Governance

2013 ◽  
Vol 27 (1) ◽  
pp. 62-70 ◽  
Author(s):  
Cristiano Antonelli
Keyword(s):  
Knowledge Governance

scholarly journals Towards Semantic Interoperability for Electronic Health Records

2007 ◽  
Vol 46 (03) ◽  
pp. 332-343 ◽  
Author(s):  
P. Knaup ◽  
E. J. S. Hovenga ◽  
S. Heard ◽  
S. Garde
Keyword(s):  
Electronic Health Records ◽  
Domain Knowledge ◽  
Semantic Interoperability ◽  
Health Records ◽  
Face To Face ◽  
Telephone Interviews ◽  
Development Organisation ◽  
Knowledge Governance ◽  
Electronic Health ◽  
Definition Of

Summary Objectives: In the field of open electronic health records (EHRs), openEHR as an archetype-based approach is being increasingly recognised. It is the objective of this paper to shortly describe this approach, and to analyse how openEHR archetypes impact on health professionals and semantic interoperability. Methods: Analysis of current approaches to EHR systems, terminology and standards developments. In addition to literature reviews, we organised face-to-face and additional telephone interviews and tele-conferences with members of relevant organisations and committees. Results: The openEHR archetypes approach enables syntactic interoperability and semantic interpretability – both important prerequisites for semantic interoperability. Archetypes enable the formal definition of clinical content by clinicians. To enable comprehensive semantic interoperability, the development and maintenance of archetypes needs to be coordinated internationally and across health professions. Domain knowledge governance comprises a set of processes that enable the creation, development, organisation, sharing, dissemination, use and continuous maintenance of archetypes. It needs to be supported by information technology. Conclusions: To enable EHRs, semantic interoperability is essential. The openEHR archetypes approach enables syntactic interoperability and semantic interpretability. However, without coordinated archetype development and maintenance, ‘rank growth’ of archetypes would jeopardize semantic interoperability. We therefore believe that openEHR archetypes and domain knowledge governance together create the knowledge environment required to adopt EHRs.

ALTUS: A Process-Oriented, Knowledge Governance Maturity Model

2020 ◽  
pp. 133-162
Author(s):  
Maria-Isabel Sanchez-Segura ◽  
Antonio de Amescua Seco ◽  
Fuensanta Medina-Dominguez ◽  
German-Lenin Dugarte-Peña ◽  
Jose-Arturo Mora-Soto
Keyword(s):  
Maturity Model ◽  
Knowledge Governance ◽  
Process Oriented

scholarly journals Knowledge Governance: Building a Conceptual Framework

2019 ◽  
Vol 8 (1) ◽  
pp. 72-92
Author(s):  
Isabel Pinho ◽  
Cláudia Pinho ◽  
António Pedro Costa
Keyword(s):  
Literature Review ◽  
Conceptual Framework ◽  
Conceptual Model ◽  
Systematic Literature Review ◽  
Future Research ◽  
Analysis Framework ◽  
Starting Point ◽  
Structured Analysis ◽  
Knowledge Governance ◽  
Core Documents

This exploratory systematic literature review is a starting point for a deep literature review on “Knowledge Governance” (KGOV) topic. The aim is to have a quick picture about KGOV; specifically trying to identify the seminal, core and relevant documents. We also seek to know the contexts of these studies, as well as on what ontological levels and activities they refer to. The principal results are: a) the identification of the structure of the topic, by retrieving the main seminal articles and the most cited (core documents) and b) the building of a structured analysis framework. This framework will be used to perform a deep literature review that aim to develop an integrated and holist conceptual model on Knowledge Governance. Major conclusions are related to clues for future research on this topic.

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