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Multi-attribute information technology project selection using fuzzy axiomatic design
Purpose - Significant productivity improvements have been experienced in business by information technology (IT) implementations in latest decades. However, IT project selection is an important problem because a significant part of IT expenditure is wasted and almost half of IT projects realize no n...
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Published in: | Journal of enterprise information management 2005-06, Vol.18 (3), p.275-288 |
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creator | Kulak, Osman Kahraman, Cengiz Öztay i, Ba ar Tanya, Mehmet |
description | Purpose - Significant productivity improvements have been experienced in business by information technology (IT) implementations in latest decades. However, IT project selection is an important problem because a significant part of IT expenditure is wasted and almost half of IT projects realize no net benefits. Since axiomatic design (AD) has the characteristics of multi-attribute evaluation, it is proposed for multi-attribute comparison of information technology systems (ITS).Design methodology approach - The comparison of ITS is made for the cases of both complete and incomplete information. The crisp AD approach for complete information and the fuzzy AD approach for incomplete information are developed. The numerical applications of both crisp and fuzzy AD approaches in the comparison of ITS are also given.Findings - The AD approach takes into account the design range of each criterion, determined by the designer. Thus, the alternative providing the design ranges is selected in AD approach while the alternative meeting the criteria at their best levels is selected in many other methods. This opportunity is not possible when many other existing methods such as AHP, fuzzy AHP, and scoring models are used. The AD approach also differs from many other existing methods from the point of the rejection of an alternative when it does not meet the design range of any criterion.Research limitations implications - For future research, it is suggested that researchers study weighted crisp and fuzzy AD approaches.Originality value - This paper is the first which develops the fuzzy AD approach and uses it in the comparison of ITS. |
doi_str_mv | 10.1108/17410390510591978 |
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However, IT project selection is an important problem because a significant part of IT expenditure is wasted and almost half of IT projects realize no net benefits. Since axiomatic design (AD) has the characteristics of multi-attribute evaluation, it is proposed for multi-attribute comparison of information technology systems (ITS).Design methodology approach - The comparison of ITS is made for the cases of both complete and incomplete information. The crisp AD approach for complete information and the fuzzy AD approach for incomplete information are developed. The numerical applications of both crisp and fuzzy AD approaches in the comparison of ITS are also given.Findings - The AD approach takes into account the design range of each criterion, determined by the designer. Thus, the alternative providing the design ranges is selected in AD approach while the alternative meeting the criteria at their best levels is selected in many other methods. This opportunity is not possible when many other existing methods such as AHP, fuzzy AHP, and scoring models are used. The AD approach also differs from many other existing methods from the point of the rejection of an alternative when it does not meet the design range of any criterion.Research limitations implications - For future research, it is suggested that researchers study weighted crisp and fuzzy AD approaches.Originality value - This paper is the first which develops the fuzzy AD approach and uses it in the comparison of ITS.</description><identifier>ISSN: 1741-0398</identifier><identifier>EISSN: 1758-7409</identifier><identifier>DOI: 10.1108/17410390510591978</identifier><identifier>CODEN: LINMEC</identifier><language>eng</language><publisher>Bradford: Emerald Group Publishing Limited</publisher><subject>Decision making models ; Design ; Expenditures ; Fuzzy logic ; Fuzzy sets ; Information technology ; Manufacturing ; Multiple criteria decision making ; Product development ; Productivity ; Project evaluation ; Set theory ; Software ; Systems design ; User services</subject><ispartof>Journal of enterprise information management, 2005-06, Vol.18 (3), p.275-288</ispartof><rights>Emerald Group Publishing Limited</rights><rights>Copyright MCB UP Limited (MCB) 2005</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c444t-d485298567bedd1f5b110ff28af1813d533064ba561f84c4c540731c488372603</citedby><cites>FETCH-LOGICAL-c444t-d485298567bedd1f5b110ff28af1813d533064ba561f84c4c540731c488372603</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://www.proquest.com/docview/220033749?pq-origsite=primo$$EHTML$$P50$$Gproquest$$H</linktohtml><link.rule.ids>314,780,784,11688,21381,21394,27305,27924,27925,33611,33612,33906,33907,34135,36060,36061,43733,43892,44363</link.rule.ids></links><search><creatorcontrib>Kulak, Osman</creatorcontrib><creatorcontrib>Kahraman, Cengiz</creatorcontrib><creatorcontrib>Öztay i, Ba ar</creatorcontrib><creatorcontrib>Tanya, Mehmet</creatorcontrib><title>Multi-attribute information technology project selection using fuzzy axiomatic design</title><title>Journal of enterprise information management</title><description>Purpose - Significant productivity improvements have been experienced in business by information technology (IT) implementations in latest decades. However, IT project selection is an important problem because a significant part of IT expenditure is wasted and almost half of IT projects realize no net benefits. Since axiomatic design (AD) has the characteristics of multi-attribute evaluation, it is proposed for multi-attribute comparison of information technology systems (ITS).Design methodology approach - The comparison of ITS is made for the cases of both complete and incomplete information. The crisp AD approach for complete information and the fuzzy AD approach for incomplete information are developed. The numerical applications of both crisp and fuzzy AD approaches in the comparison of ITS are also given.Findings - The AD approach takes into account the design range of each criterion, determined by the designer. Thus, the alternative providing the design ranges is selected in AD approach while the alternative meeting the criteria at their best levels is selected in many other methods. 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subjects | Decision making models Design Expenditures Fuzzy logic Fuzzy sets Information technology Manufacturing Multiple criteria decision making Product development Productivity Project evaluation Set theory Software Systems design User services |
title | Multi-attribute information technology project selection using fuzzy axiomatic design |
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