E-commerce development risk evaluation using MCDM techniques

Alharbi, S; Naderpour, M

E-commerce development risk evaluation using MCDM techniques

Alharbi, S Naderpour, M

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Publication Type:: Conference Proceeding
Citation:: Lecture Notes in Business Information Processing, 2016, 250 pp. 88 - 99
Issue Date:: 2016-01-01

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Field	Value	Language
dc.contributor.author	Alharbi, S	en_US
dc.contributor.author	Naderpour, M https://orcid.org/0000-0002-3549-3875	en_US
dc.date.issued	2016-01-01	en_US
dc.identifier.citation	Lecture Notes in Business Information Processing, 2016, 250 pp. 88 - 99	en_US
dc.identifier.isbn	9783319328768	en_US
dc.identifier.issn	1865-1348	en_US
dc.identifier.uri	http://hdl.handle.net/10453/44001
dc.description.abstract	© Springer International Publishing Switzerland 2016. Electronic commerce (EC) development takes place in a complex and dynamic environment that includes high levels of risk and uncertainty. This paper proposes a new method for assessing the risks associated with EC development using multi-criteria decision-making techniques A model based on the analytic hierarchy process (AHP) and the technique for order of preference by similarity to ideal solution (TOPSIS) is proposed to assist EC project managers and decision makers in formalizing the types of thinking that are required in assessing the current risk environment of their EC development in a more systematic manner than previously. The solution includes the use of AHP for analyzing the problem structure and determining the weights of risk factors. The TOPSIS technique helps to obtain a final ranking among projects, and the results of an evaluation show the usefulness performance of the method.	en_US
dc.relation.ispartof	Lecture Notes in Business Information Processing	en_US
dc.relation.isbasedon	10.1007/978-3-319-32877-5_7	en_US
dc.title	E-commerce development risk evaluation using MCDM techniques	en_US
dc.type	Conference Proceeding
utslib.citation.volume	250	en_US
utslib.for	080605 Decision Support and Group Support Systems	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Information, Systems and Modelling
pubs.organisational-group	/University of Technology Sydney/Strength - CAI - Centre for Artificial Intelligence
pubs.organisational-group	/University of Technology Sydney/Strength - CAMGIS - Centre for Advanced Modelling and Geospatial lnformation Systems
utslib.copyright.status	open_access
pubs.publication-status	Published	en_US
pubs.volume	250	en_US

Abstract:

© Springer International Publishing Switzerland 2016. Electronic commerce (EC) development takes place in a complex and dynamic environment that includes high levels of risk and uncertainty. This paper proposes a new method for assessing the risks associated with EC development using multi-criteria decision-making techniques A model based on the analytic hierarchy process (AHP) and the technique for order of preference by similarity to ideal solution (TOPSIS) is proposed to assist EC project managers and decision makers in formalizing the types of thinking that are required in assessing the current risk environment of their EC development in a more systematic manner than previously. The solution includes the use of AHP for analyzing the problem structure and determining the weights of risk factors. The TOPSIS technique helps to obtain a final ranking among projects, and the results of an evaluation show the usefulness performance of the method.

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http://hdl.handle.net/10453/44001