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An integrated model to select an ERP system for Chinese small- and medium-sized enterprise under uncertainty.

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Title: An integrated model to select an ERP system for Chinese small- and medium-sized enterprise under uncertainty.
Authors: Zeng, Yu-Rong1,2, Wang, Lin1, Xu, Xian-Hao1
Source: Technological & Economic Development of Economy. Jan2017, Vol. 23 Issue 1, p38-58. 21p.
Subjects: Enterprise resource planning, Economic competition, Computer software selection, Fuzzy logic, Economic aspects of decision making
Abstract: Enterprise Resource Planning (ERP) system is a vital investment that can significantly affect future competitiveness and performance of small-and medium-sized enterprises (SMEs). Selecting the best desirable ERP software covering both qualitative and quantitative factors has been the most critical problem for a long time. On the other hand, multiple criteria decision making has been found to be a useful approach to analyze conflicting factors. Qualitative criteria are often accompanied by ambiguities and vagueness. This makes fuzzy and grey logic become more natural approaches to handle this kind of problem. This paper presents a new approach for the selection of SME-specific ERP systems. Firstly, criteria for SMEs in China to evaluate the most suitable ERP system are put forward using group-discussing and anonymous questionnaire methods. An effective and practical algorithm, which is integrated of modified Delphi, analytic hierarchy process, fuzzy comprehensive evaluation and grey relational analysis, is utilized to convert the qualitative description to quantitative data to select the most appropriate alternative in the presence of vagueness and uncertainty. Finally, the potential use of the proposed model is illustrated through a case study. [ABSTRACT FROM AUTHOR]
Copyright of Technological & Economic Development of Economy is the property of Vilnius Gediminas Technical University and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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  Data: <searchLink fieldCode="JN" term="%22Technological+%26+Economic+Development+of+Economy%22">Technological & Economic Development of Economy</searchLink>. Jan2017, Vol. 23 Issue 1, p38-58. 21p.
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  Data: <searchLink fieldCode="DE" term="%22Enterprise+resource+planning%22">Enterprise resource planning</searchLink><br /><searchLink fieldCode="DE" term="%22Economic+competition%22">Economic competition</searchLink><br /><searchLink fieldCode="DE" term="%22Computer+software+selection%22">Computer software selection</searchLink><br /><searchLink fieldCode="DE" term="%22Fuzzy+logic%22">Fuzzy logic</searchLink><br /><searchLink fieldCode="DE" term="%22Economic+aspects+of+decision+making%22">Economic aspects of decision making</searchLink>
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  Data: Enterprise Resource Planning (ERP) system is a vital investment that can significantly affect future competitiveness and performance of small-and medium-sized enterprises (SMEs). Selecting the best desirable ERP software covering both qualitative and quantitative factors has been the most critical problem for a long time. On the other hand, multiple criteria decision making has been found to be a useful approach to analyze conflicting factors. Qualitative criteria are often accompanied by ambiguities and vagueness. This makes fuzzy and grey logic become more natural approaches to handle this kind of problem. This paper presents a new approach for the selection of SME-specific ERP systems. Firstly, criteria for SMEs in China to evaluate the most suitable ERP system are put forward using group-discussing and anonymous questionnaire methods. An effective and practical algorithm, which is integrated of modified Delphi, analytic hierarchy process, fuzzy comprehensive evaluation and grey relational analysis, is utilized to convert the qualitative description to quantitative data to select the most appropriate alternative in the presence of vagueness and uncertainty. Finally, the potential use of the proposed model is illustrated through a case study. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of Technological & Economic Development of Economy is the property of Vilnius Gediminas Technical University and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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      – SubjectFull: Computer software selection
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              Text: Jan2017
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