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Article Information:
Data Analysis and Decision Trees for Analysis and B2C Controls
Mohammad Nazaripour
Corresponding Author: Mohammad Nazaripour
Submitted: June 28, 2012
Accepted: August 08, 2012
Published: September 25, 2012 |
Abstract:
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This study uses a two-step procedure for the evaluation of B2C controls, first, using a Data Envelopment
Analysis (DEA) model, second, decision trees. The results of the DEA model indicate that retail firms and
information service providers implement B2C controls more effectively than financial firms do. Controls for system
continuity are implemented more effectively than entry controls. In financial firms, controls for system continuity,
communication controls and entry controls, in a dropping order, are effectively followed in B2C approaches. Every
company can determine its relative level of reduction in each part of controls in order to make the control system
effective. The firms that effectively implement B2C controls are determined using a decision tree model. The
decision tree model issued to suggest the level of controls and argued rules for controls guidance. This state the
possibility of using decision trees for controls evaluation in B2C approaches.
Key words: B2C approaches , B2C controls, Data Envelopment Analysis (DEA), decision trees, , ,
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Cite this Reference:
Mohammad Nazaripour, . Data Analysis and Decision Trees for Analysis and B2C Controls. Asian Journal of Business Management, (4): 376-385.
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ISSN (Online): 2041-8752
ISSN (Print): 2041-8744 |
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