The KAMET II methodology: Knowledge acquisition, knowledge modeling and knowledge generation

Cairó, Osvaldo; Guardati, Silvia

doi:10.1016/j.eswa.2012.01.155

Cited by 28 publications

(17 citation statements)

References 16 publications

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“…The output leading to efficiency considers the assisting factors that enhance knowledge transfer, the impeding factors that hinder knowledge transfer, and the success of knowledge transfer process [13]. The outcome leading to effectiveness considers the ability of knowledge receivers to solve problem, the reduction of mistakes, the increase of work performance in term of speed, and the success of knowledge transfer [14] as shown on the ride side of Figure 1.…”

Section: Towards a Conceptual Knowledge Transfer Frameworkmentioning

confidence: 98%

A Study of Knowledge Transfer in the Context of Information Systems Integration in Thailand

Tangprasert

Porrawatpreyakorn

Smanchat

2013

Proceedings of International Conference on Information Integration and Web-Based Applications &Amp; Services

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In improving organizations' efficiency, knowledge transfer could play an important role. As an initial work, this paper presents a survey research on the current situation of knowledge transfer in the context of information systems integration in Thailand by focusing on three dimensions: components, processes and factors. The tool used in the survey is an online questionnaire with IOC of greater than 0.5 and Cronbach's alpha of reliability of 0.86 for the entire scale. The result from 265 samples in 56 organizations reveals that the majority of the samples has a high level of education and relies primarily on knowledge and experiences in their work. This leads to knowledge being locked in individuals. It is also found that knowledge storage is neglected and that there is a lack of appropriate environments supporting knowledge transfer. These findings identify the requirements for a knowledge transfer framework in the context of information systems integration.

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Section: Towards a Conceptual Knowledge Transfer Frameworkmentioning

confidence: 98%

A Study of Knowledge Transfer in the Context of Information Systems Integration in Thailand

Tangprasert

Porrawatpreyakorn

Smanchat

2013

Proceedings of International Conference on Information Integration and Web-Based Applications &Amp; Services

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“…Pioneering projects include the business engineering navigator (Winter, 2010), the semantic object model (Bork & Sinz, 2010;Ferstl, Sinz, & Bork, 2016), and the exemplary business process modeler (Breitling & Hofer, 2012). As at 2019, the OMiLAB community has successfully conceptualized almost 50 different modeling methods that originate from heterogeneous domains, such as multi-perspective enterprise modeling (MEMO) (Bock & Frank, 2016), design thinking (Hawryszkiewycz & Prackwieser, 2016;Bork, Karagiannis, & Hawryszkiewycz, 2017;Miron, Muck, Karagiannis, & Götzinger, 2018), and knowledge management (Cairó & Guardati, 2012;Battistutti & Bork, 2017). Recent conceptualizations target bridging design thinking and conceptual modeling (Miron et al, 2018;Miron, Muck, & Karagiannis, 2019) and industrial business process management (Utz & Falcioni, 2018).…”

Section: The Omilab Open Innovation Communitymentioning

confidence: 99%

An Open Platform for Modeling Method Conceptualization: The OMiLAB Digital Ecosystem

Bork¹,

Buchmann²,

Karagiannis³

et al. 2019

CAIS

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This paper motivates, describes, demonstrates in use, and evaluates the Open Models Laboratory (OMiLAB)-an open digital ecosystem designed to help one conceptualize and operationalize conceptual modeling methods. The OMiLAB ecosystem, which a generalized understanding of "model value" motivates, targets research and education stakeholders who fulfill various roles in a modeling method's lifecycle. While we have many reports on novel modeling methods and tools for various domains, we lack knowledge on conceptualizing such methods via a full-fledged dedicated open ecosystem and a methodology that facilitates entry points for novices and an open innovation space for experienced stakeholders. This gap continues due to the lack of an open process and platform for 1) conducting research in the field of modeling method design, 2) developing agile modeling tools and model-driven digital products, and 3) experimenting with and disseminating such methods and related prototypes. OMiLAB incorporates principles, practices, procedures, tools, and services required to address the issues above since it focuses on being the operational deployment for a conceptualization and operationalization process built on several pillars: 1) a granularly defined "modeling method" concept whose building blocks one can customize for the domain of choice, 2) an "agile modeling method engineering" framework that helps one quickly prototype modeling tools, 3) a model-aware "digital product design lab", and 4) dissemination channels for reaching a global community. In this paper, we demonstrate and evaluate the OMiLAB in research with two selected application cases for domain-and case-specific requirements. Besides these exemplary cases, OMiLAB has proven to effectively satisfy requirements that almost 50 modeling methods raise and, thus, to support researchers in designing novel modeling methods, developing tools, and disseminating outcomes. We also measured OMiLAB's educational impact.

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“…Knowledge acquisition has been applied to a diverse set of problems. A knowledge acquisition approach was used to develop diagnosis-specialized knowledge models [6]. A knowledge base, encoded with the NKRL (Narrative Knowledge Representation Language) formalism, was used in the management of gas/oil facilities to support tasks such as noticing gas leakage and taking steps to activate systems [39].…”

Section: Knowledge Acquisitionmentioning

confidence: 99%

“…6: Interpretation of min and max value for seventeen quality measures.Our research is related to retail motor fuel prices. This section discusses previous research related to this topic.…”

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confidence: 99%

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A Knowledge Acquisition System for Price Change Rules

Jahan

Hamilton

2017

Advances in Artificial Intelligence

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The KAMET II methodology: Knowledge acquisition, knowledge modeling and knowledge generation

Cited by 28 publications

References 16 publications

A Study of Knowledge Transfer in the Context of Information Systems Integration in Thailand

A Study of Knowledge Transfer in the Context of Information Systems Integration in Thailand

An Open Platform for Modeling Method Conceptualization: The OMiLAB Digital Ecosystem

A Knowledge Acquisition System for Price Change Rules

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