Knowledge Management (Intellectual Capital) Assessment using Fuzzy Expert System

Organizations which provide electronic services do not have a logically structured strategy for implementing Customer Knowledge Management through Social media (SCKM). By assessing the position of SCKM, organizations can have a clear understanding of their maturity level and find their future investment interests. This research examined the maturity assessment of SCKM utilizing a fuzzy expert system. It consisted of a-four-stage procedure. The maturity model is based on 11 critical success factors, including strategy, leadership, information technology, knowledge management, culture, process, resources, business intelligence, security, social customer, and assessment. Results showed that the studied organization has covered 48.2% of maturity on the first level and 51.8% on the second level. Thus, to increase productivity, it is indispensable for organizations to act in a targeted way. The fuzzy expert system is not designed specifically for a case study, but can be utilized as a reference for in-depth analysis of the organizational readiness for SCKM implementation and development within organizations, which provide e-services applications.

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A FUZZY EXPERT SYSTEM FOR SOLVING REAL-OPTION DECISION PROCESSES

FUZZY ECONOMIC REVIEW ◽

10.25102/fer.2001.02.04 ◽

2001 ◽

Vol 06 (02) ◽

Cited By ~ 1

Author(s):

C.A Magni ◽

G. Mastroleo ◽

G. Facchinetti

Keyword(s):

Expert System ◽

Real Option ◽

Decision Processes ◽

Fuzzy Expert System

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The Design of Fuzzy Expert System Implementation for Analyzing Transmissible Disease of Human

International Journal of Pharmaceutical Research ◽

10.31838/ijpr/2018.10.04.011 ◽

2018 ◽

Vol 10 (04) ◽

Cited By ~ 1

Keyword(s):

Expert System ◽

Fuzzy Expert System ◽

System Implementation ◽

Transmissible Disease

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Knowledge Management, Intellectual Capital and Innovation Performance in Italian SMEs

Proceedings of the 20th European Conference on Knowledge Management ◽

10.34190/km.19.143 ◽

2019 ◽

Keyword(s):

Knowledge Management ◽

Intellectual Capital ◽

Innovation Performance

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Contribution to the Research and Development of Radiation Chambers in Steam Reforming. Problem-Oriented Application of a Fuzzy Expert System

Collection of Czechoslovak Chemical Communications ◽

10.1135/cccc19922125 ◽

1992 ◽

Vol 57 (10) ◽

pp. 2125-2134 ◽

Cited By ~ 1

Author(s):

Petr Stehlík ◽

František Babinec

Keyword(s):

Carbon Dioxide ◽

Mathematical Model ◽

Expert System ◽

Service Life ◽

Research And Development ◽

Steam Reforming ◽

Methane Conversion ◽

Chemical Processes ◽

Fuzzy Expert System ◽

Present Contribution

An application of a fuzzy expert system intended for estimating some parameters of steam reforming can also be one of the examples of an ever increasing utilization of expert systems in practice. The present contribution deals with the method making use of a verified mathematical model for simulating thermal chemical processes in reforming furnace radiation chamber in order to create knowledge base. This base includes linguistic values of selected independent and dependent variable quantities. Examples given illustrate an evaluation of dependent variable quantities (methane conversion into carbon dioxide and monoxide, reaction tube service life) by means of the said expert system based on queries.

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