Knowledge Management in Website Quality Evaluation Domain

Ziemba, Paweł; Jankowski, Jarosław; Wątróbski, Jarosław; Becker, Jarosław

doi:10.1007/978-3-319-24306-1_8

Cited by 14 publications

(9 citation statements)

References 28 publications

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“…The best course of action would be to add criteria and sub-criteria of evaluations of wind farms, as well as other RES factors to the model. It would also be interesting to present the decision model in the form of an ontology [51], which would enable the deduction of new information from the model [52], [53]. The performance of the model would also move in a smoother manner towards the application of DSS in other situations.…”

Section: Discussionmentioning

confidence: 99%

MCDA-based Decision Support System for Sustainable Management – RES Case Study

Wątróbski¹,

Ziemba²,

Wolski³

2016

Annals of Computer Science and Information Systems

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Abstract-The MCDA methods are used in order to solve complex decision-making problems which require considering many interrelated criteria. They are also the basis of DSS. Nevertheless, these dependencies between criteria can have an influence on the obtained solution. A class of decision-making problems, in which there are intercriteria dependencies, are decisions in the sustainability area, e.g. selection of a location and a design of an RES-based power station. The article presents a complex model, taking into consideration dependencies between criteria.

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Section: Discussionmentioning

confidence: 99%

MCDA-based Decision Support System for Sustainable Management – RES Case Study

Wątróbski¹,

Ziemba²,

Wolski³

2016

Annals of Computer Science and Information Systems

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“…Because of the difference when creating knowledge bases, one cannot use database schemes. Extracting information from databases is an algorithmic operation, while the same operation calculated on the basis of a knowledge base takes on the nature of logical reasoning [25,26]. Furthermore, databases are usually non-monotonous, whereas knowledge bases are monotonous.…”

Section: Construction Of An Ontology Of Mcda Methodsmentioning

confidence: 99%

An Ontology Supporting Multiple-Criteria Decision Analysis Method Selection

Wątróbski

2016

Intelligent Decision Technologies 2016

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In the last few years multiple-criteria decision analysis methods (MCDA) have received more and more attention from researchers. Consequently, the new methods have made it possible to solve a lot of real-world decision problems in the areas of private lives, management practice or science. However, proper selection of a MCDA method reflecting a decision problem and a decision-maker's preferences is a complex and important issue and inappropriate selection of a MCDA method may lead to generating improper recommendation. Therefore, this paper suggests using an ontology as a tool supporting multiple-criteria decision analysis method selection.

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“…In the current dynamic environment, firms increasingly have to heighten internal knowledge management with information system in order to manage inward and outward flows of knowledge exploiting and exploring external opportunities (Ziemba, Jankowski, Wątróbski, and Becker (2015). Here, knowledge management and information system refers to the ability of an organisation to explore both internal and external knowledge, and to retain knowledge over time within the firm (Santoro et al, 2018).…”

Section: Implementation Of Knowledge Management With An Information Smentioning

confidence: 99%

Conceptualising the moderating role of knowledge management within supply chain risks and supply chain risk management

Waqas

Rahman

Ismail

et al. 2019

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There is a dearth of empirical and theoretical investigation in the field of supply chain risk management. Even though SCRM is an important component in supply chain management research, there is still a lack of understanding regarding the term and the concept to develop advantageous SCRM. In the literature of SCRM, different aspects have been discussed, for instance, risk identification, risk assessment, risk management strategies, risk monitoring, and contingency plans. Supply chain risks are increasing because of multiple outsourced partners linked with each other making it more complex, along with this, business is also uncertain, so these scenarios increase supply chain risks. Knowledge management has been used to know about the market scenarios and the information of trading partners and supply chain managers from different firms to know about the uncertainty or risks. However, the discussion shows that the efficient implication of KM capabilities on the SCRs and SCRM is still lacking. This paper provides a comprehensive conceptual framework on the effect of knowledge management within supply chain risk and supply chain risk management.

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Knowledge Management in Website Quality Evaluation Domain

Cited by 14 publications

References 28 publications

MCDA-based Decision Support System for Sustainable Management – RES Case Study

MCDA-based Decision Support System for Sustainable Management – RES Case Study

An Ontology Supporting Multiple-Criteria Decision Analysis Method Selection

Conceptualising the moderating role of knowledge management within supply chain risks and supply chain risk management

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