Title
Risk assessment of e-commerce projects using evidential reasoning
Abstract
The purpose of this study is to develop a decision making system to evaluate the risks in E-Commerce (EC) projects. Competitive software businesses have the critical task of assessing the risk in the software system development life cycle. This can be conducted on the basis of conventional probabilities, but limited appropriate information is available and so a complete set of probabilities is not available. In such problems, where the analysis is highly subjective and related to vague, incomplete, uncertain or inexact information, the Dempster-Shafer (DS) theory of evidence offers a potential advantage. We use a direct way of reasoning in a single step (i.e., extended DS theory) to develop a decision making system to evaluate the risk in EC projects. This consists of five stages 1) establishing knowledge base and setting rule strengths, 2) collecting evidence and data, 3) determining evidence and rule strength to a mass distribution for each rule; i.e., the first half of a single step reasoning process, 4) combining prior mass and different rules; i.e., the second half of the single step reasoning process, 5) finally, evaluating the belief interval for the best support decision of EC project. We test the system by using potential risk factors associated with EC development and the results indicate that the system is promising way of assisting an EC project manager in identifying potential risk factors and the corresponding project risks.
Year
DOI
Venue
2006
10.1007/11881599_74
FSKD
Keywords
Field
DocType
e-commerce project,rule strength,potential risk factor,ec project,corresponding project risk,evidential reasoning,different rule,risk assessment,ec project manager,single step reasoning process,software system development life,best support decision,ec development,risk factors,e commerce,dempster shafer,life cycle,software performance,software systems,financial engineering,knowledge base,dempster shafer theory
Computer science,Risk analysis (business),Expert system,Operations research,Software system,Decision theory,Project manager,Software development process,Evidential reasoning approach,Dempster–Shafer theory
Conference
Volume
ISSN
ISBN
4223
0302-9743
3-540-45916-2
Citations 
PageRank 
References 
4
0.45
7
Authors
4
Name
Order
Citations
PageRank
Rashid Hafeez Khokhar129414.25
David A. Bell21693305.71
Jiwen Guan3886.19
QingXiang Wu440.79