A conceptual model and technological support for organizational knowledge management

Ale, Mariel Alejandra; Toledo, Carlos M.; Chiotti, Omar; Galli, Marı́a Rosa

doi:10.1016/j.scico.2013.12.012

Cited by 38 publications

(44 citation statements)

References 32 publications

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“…In the paper, I also presented an evaluation of the presented knowledge management model in terms of the requirements for knowledge management models . These requirements were formulated by Ale, Toledo, Chiotti and Galli (2014) . The requirements apply to the SECI model and the process model: a knowledge management model should be convergent with the strategy of the organization, knowledge should be the strategic asset of the organization, a model should include the process knowledge management in the organization, a model should include three categories of the knowledge management cycle: knowledge creation, knowledge communication, knowledge representation and review, a model should include the process of knowledge distribution in the organization (including creation of the knowledge repository), a model should take into consideration the social aspect (tacit knowledge transfer) and the technological aspect (declarative and procedural knowledge), a model should take into consideration the changes in the culture of the organization (using information systems) .…”

Section: Publicationmentioning

confidence: 99%

Operationalization SECI Model of Knowledge Management by Enterprise Ontology

Andreasik

2019

Barometr Regionalny

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The paper contains the proposition of solving the problem of operationalization of the SECI model of knowledge creation in a new scope -i.e., in relation to knowledge about managing an SME enterprise in conditions of uncertainty. This knowledge includes the assessment of the enterprise in the potential -risk space of operational activity. This problem was solved theoretically by developing the original A-E-AE enterprise ontology and practically by constructing the SOK-P1 system, which was used in the advisory practice for SME sector enterprises in the Lubelskie and Podkarpackie Voivodships.Keywords: operationalization of the SECI model, A-E-AE enterprise ontology, CBR system, semantic knowledge management model JEL: M15, O32

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Section: Publicationmentioning

confidence: 99%

Operationalization SECI Model of Knowledge Management by Enterprise Ontology

Andreasik

2019

Barometr Regionalny

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“…Social media and knowledge-based systems can mutually benefit one another: on the one hand, social media introduce new types of public data and metadata [69], such as tags, ratings, comments, and explicit relationships of people, which can be utilized to enhance recommendations [2,70] and [71]; on the other hand, knowledge-based technologies can play a key role in the success of social media applications and the social web as a whole, ensuring that each user is presented with the most attractive and relevant content, on a personal level [5]. For example, Chen, Zeng, and Yuan proposed a unified framework for generating three types of recommendation [72].…”

Section: Social Media Recommendationsmentioning

confidence: 99%

SMORE: Towards a semantic modeling for knowledge representation on social media

Villanueva

González‐Carrasco

López-Cuadrado

et al. 2016

Science of Computer Programming

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This research presents SMORE, a semantic model for knowledge representation on social media. In order to provide recommendations, the model provides the elements for representing the content through the use of an ontological model and semantic techniques for the characterization and relationships between user profiles, products and social networks. In fact, with this model could be the basis of recommendation system based on social media data, and it could be exploited use by the recommendations on different products, which are stored in the Web and with similar characteristics between them. Moreover, SMORE represent the information related to user of the social networks in order to have a user characterization to be used for future recommendations in several domains. The semantic model has been evaluated with semantic data extracted from a trusted social network as, Twitter, obtaining the information specified by an expert in the field of marketing for recommendations in the automotive industry.

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“…• KM factors: are enablers identified as having impact on KM initiatives success [2,9]. The non-exhaustive enablers list includes cultural, structural, human and technological aspects [1,10].…”

Section: Knowledge Managementmentioning

confidence: 99%

“…1. KM project view, adapted from [27] Our KM reference model is built mainly on Grundstein model [6] and SECI model [11] and is adapted according to our KM understanding and to the KM processes literature [9,11,26]. It is composed of four generic processes:…”

Section: Knowledge Management Process Reference Modelmentioning

confidence: 99%

Knowledge Management Performance Measurement: A Generic Framework

Oufkir

Fredj

Kassou

2016

Communications in Computer and Information Science

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Abstract. This theoretical article aims to propose a generic framework for measuring performance of Knowledge Management (KM) projects based on critical literature review. The proposed framework fills the existing gap on KM performance measurement in two points: (i) it provides a generic tool that is able to assess all kinds of KM project as well as the overall organization KM, (ii) it assesses KM projects according to KM objectives in a generic manner. Our framework (GKMPM) relies on a process reference model that provides a KM common understanding in a process based view. It is based on a goal-oriented measurement approach and considers that KM performance dimensions are stakeholder's objectives. The framework application follows a procedural approach that begins with the KM project modelling, followed by the objectives prioritization. The next step consists of collecting and analysing data for pre-designed measures, and produces a set of key performance indicators (KPIs) related to the KM project processes and in accordance with its objectives.

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A conceptual model and technological support for organizational knowledge management

Cited by 38 publications

References 32 publications

Operationalization SECI Model of Knowledge Management by Enterprise Ontology

Operationalization SECI Model of Knowledge Management by Enterprise Ontology

SMORE: Towards a semantic modeling for knowledge representation on social media

Knowledge Management Performance Measurement: A Generic Framework

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