Title of article :
Fuzzy cognitive map based on structural equation modeling for the design of controls in business-to-consumer e-commerce web-based systems
Author/Authors :
Lee، نويسنده , , Sangjae and Ahn، نويسنده , , Hyunchul، نويسنده ,
Issue Information :
روزنامه با شماره پیاپی سال 2009
Pages :
14
From page :
10447
To page :
10460
Abstract :
Security and integrity of business-to-consumer e-commerce web-based systems (ECWS) is becoming a concern among ECWS adopters. The controls for ECWS are classified into controls for system continuity, access controls, communication controls, and informal controls. The control design for ECWS is not well structured and demands understanding of the complex causal relationships among environmental factors (infrastructure, organizational requirements for security), controls, implementation, and performance. In order to aid the design of ECWS controls, the application of a fuzzy cognitive map, ECFCM (EC-control design using a fuzzy cognitive map), was developed. Structural equation modeling was used to identify relevant relationships among the components and indicate their direction and strength. A standardized causal coefficient from structural equation modeling was then used to create a fuzzy cognitive map, through which the state or movement of one control component was shown to have an influence on the state or movement of others. Thus ECFCM provides a practical insight to IS auditors by addressing the applicability of soft approaches in capturing and illustrating the use of FCM in the design of ECWS controls.
Keywords :
Structural Equations Modeling , fuzzy cognitive map , ECWS controls , Causal relationships
Journal title :
Expert Systems with Applications
Serial Year :
2009
Journal title :
Expert Systems with Applications
Record number :
2346812
Link To Document :
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