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Title |
Selecting the Right ERP System for SMEs: An Intelligent Ranking Engine of Cloud SaaS Service Providers based on Fuzziness Quality Attributes |
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Author |
Mahmoud Ibrahim Fallatah and Mohammed Ikram |
| Citation |
Vol. 21 No. 6 pp. 35-46 |
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Abstract |
Small and Medium Enterprises (SMEs) are increasingly using ERP systems to connect and manage all their functions, whether internally between the different departments, or externally with customers in electronic commerce. However, the selection of the right ERP system is usually an issue, due to the complexities of identifying the criteria, weighting them, and selecting the best system and provider. Because cost is usually important for SMEs, ERP systems based on Cloud Software as a Service (SaaS) has been adopted by many SMEs. However, SMEs face an issue of selecting the right system. Therefore, this paper proposes a fuzziness ranking engine system in order to match the SMEs requirements with the most suitable service provider. The extensive experimental result shows that our approach has better result compared with traditional approaches. |
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Keywords |
ERP; SME; Fuzzy Logic; Cloud Services; Ranking System |
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URL |
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Title |
Selecting the Right ERP System for SMEs: An Intelligent Ranking Engine of Cloud SaaS Service Providers based on Fuzziness Quality Attributes |
|
Author |
Mahmoud Ibrahim Fallatah and Mohammed Ikram |
| Citation |
Vol. 21 No. 6 pp. 35-46 |
|
Abstract |
Small and Medium Enterprises (SMEs) are increasingly using ERP systems to connect and manage all their functions, whether internally between the different departments, or externally with customers in electronic commerce. However, the selection of the right ERP system is usually an issue, due to the complexities of identifying the criteria, weighting them, and selecting the best system and provider. Because cost is usually important for SMEs, ERP systems based on Cloud Software as a Service (SaaS) has been adopted by many SMEs. However, SMEs face an issue of selecting the right system. Therefore, this paper proposes a fuzziness ranking engine system in order to match the SMEs requirements with the most suitable service provider. The extensive experimental result shows that our approach has better result compared with traditional approaches. |
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Keywords |
ERP; SME; Fuzzy Logic; Cloud Services; Ranking System |
|
URL |
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Title |
Selecting the Right ERP System for SMEs: An Intelligent Ranking Engine of Cloud SaaS Service Providers based on Fuzziness Quality Attributes |
|
Author |
Mahmoud Ibrahim Fallatah and Mohammed Ikram |
| Citation |
Vol. 21 No. 6 pp. 35-46 |
|
Abstract |
Small and Medium Enterprises (SMEs) are increasingly using ERP systems to connect and manage all their functions, whether internally between the different departments, or externally with customers in electronic commerce. However, the selection of the right ERP system is usually an issue, due to the complexities of identifying the criteria, weighting them, and selecting the best system and provider. Because cost is usually important for SMEs, ERP systems based on Cloud Software as a Service (SaaS) has been adopted by many SMEs. However, SMEs face an issue of selecting the right system. Therefore, this paper proposes a fuzziness ranking engine system in order to match the SMEs requirements with the most suitable service provider. The extensive experimental result shows that our approach has better result compared with traditional approaches. |
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Keywords |
ERP; SME; Fuzzy Logic; Cloud Services; Ranking System |
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URL |
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Title |
Selecting the Right ERP System for SMEs: An Intelligent Ranking Engine of Cloud SaaS Service Providers based on Fuzziness Quality Attributes |
|
Author |
Mahmoud Ibrahim Fallatah and Mohammed Ikram |
| Citation |
Vol. 21 No. 6 pp. 35-46 |
|
Abstract |
Small and Medium Enterprises (SMEs) are increasingly using ERP systems to connect and manage all their functions, whether internally between the different departments, or externally with customers in electronic commerce. However, the selection of the right ERP system is usually an issue, due to the complexities of identifying the criteria, weighting them, and selecting the best system and provider. Because cost is usually important for SMEs, ERP systems based on Cloud Software as a Service (SaaS) has been adopted by many SMEs. However, SMEs face an issue of selecting the right system. Therefore, this paper proposes a fuzziness ranking engine system in order to match the SMEs requirements with the most suitable service provider. The extensive experimental result shows that our approach has better result compared with traditional approaches. |
|
Keywords |
ERP; SME; Fuzzy Logic; Cloud Services; Ranking System |
|
URL |
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Title |
Selecting the Right ERP System for SMEs: An Intelligent Ranking Engine of Cloud SaaS Service Providers based on Fuzziness Quality Attributes |
|
Author |
Mahmoud Ibrahim Fallatah and Mohammed Ikram |
| Citation |
Vol. 21 No. 6 pp. 35-46 |
|
Abstract |
Small and Medium Enterprises (SMEs) are increasingly using ERP systems to connect and manage all their functions, whether internally between the different departments, or externally with customers in electronic commerce. However, the selection of the right ERP system is usually an issue, due to the complexities of identifying the criteria, weighting them, and selecting the best system and provider. Because cost is usually important for SMEs, ERP systems based on Cloud Software as a Service (SaaS) has been adopted by many SMEs. However, SMEs face an issue of selecting the right system. Therefore, this paper proposes a fuzziness ranking engine system in order to match the SMEs requirements with the most suitable service provider. The extensive experimental result shows that our approach has better result compared with traditional approaches. |
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Keywords |
ERP; SME; Fuzzy Logic; Cloud Services; Ranking System |
|
URL |
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Title |
Selecting the Right ERP System for SMEs: An Intelligent Ranking Engine of Cloud SaaS Service Providers based on Fuzziness Quality Attributes |
|
Author |
Mahmoud Ibrahim Fallatah and Mohammed Ikram |
| Citation |
Vol. 21 No. 6 pp. 35-46 |
|
Abstract |
Small and Medium Enterprises (SMEs) are increasingly using ERP systems to connect and manage all their functions, whether internally between the different departments, or externally with customers in electronic commerce. However, the selection of the right ERP system is usually an issue, due to the complexities of identifying the criteria, weighting them, and selecting the best system and provider. Because cost is usually important for SMEs, ERP systems based on Cloud Software as a Service (SaaS) has been adopted by many SMEs. However, SMEs face an issue of selecting the right system. Therefore, this paper proposes a fuzziness ranking engine system in order to match the SMEs requirements with the most suitable service provider. The extensive experimental result shows that our approach has better result compared with traditional approaches. |
|
Keywords |
ERP; SME; Fuzzy Logic; Cloud Services; Ranking System |
|
URL |
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Title |
Selecting the Right ERP System for SMEs: An Intelligent Ranking Engine of Cloud SaaS Service Providers based on Fuzziness Quality Attributes |
|
Author |
Mahmoud Ibrahim Fallatah and Mohammed Ikram |
| Citation |
Vol. 21 No. 6 pp. 35-46 |
|
Abstract |
Small and Medium Enterprises (SMEs) are increasingly using ERP systems to connect and manage all their functions, whether internally between the different departments, or externally with customers in electronic commerce. However, the selection of the right ERP system is usually an issue, due to the complexities of identifying the criteria, weighting them, and selecting the best system and provider. Because cost is usually important for SMEs, ERP systems based on Cloud Software as a Service (SaaS) has been adopted by many SMEs. However, SMEs face an issue of selecting the right system. Therefore, this paper proposes a fuzziness ranking engine system in order to match the SMEs requirements with the most suitable service provider. The extensive experimental result shows that our approach has better result compared with traditional approaches. |
|
Keywords |
ERP; SME; Fuzzy Logic; Cloud Services; Ranking System |
|
URL |
|
|
Title |
Selecting the Right ERP System for SMEs: An Intelligent Ranking Engine of Cloud SaaS Service Providers based on Fuzziness Quality Attributes |
|
Author |
Mahmoud Ibrahim Fallatah and Mohammed Ikram |
| Citation |
Vol. 21 No. 6 pp. 35-46 |
|
Abstract |
Small and Medium Enterprises (SMEs) are increasingly using ERP systems to connect and manage all their functions, whether internally between the different departments, or externally with customers in electronic commerce. However, the selection of the right ERP system is usually an issue, due to the complexities of identifying the criteria, weighting them, and selecting the best system and provider. Because cost is usually important for SMEs, ERP systems based on Cloud Software as a Service (SaaS) has been adopted by many SMEs. However, SMEs face an issue of selecting the right system. Therefore, this paper proposes a fuzziness ranking engine system in order to match the SMEs requirements with the most suitable service provider. The extensive experimental result shows that our approach has better result compared with traditional approaches. |
|
Keywords |
ERP; SME; Fuzzy Logic; Cloud Services; Ranking System |
|
URL |
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Title |
Selecting the Right ERP System for SMEs: An Intelligent Ranking Engine of Cloud SaaS Service Providers based on Fuzziness Quality Attributes |
|
Author |
Mahmoud Ibrahim Fallatah and Mohammed Ikram |
| Citation |
Vol. 21 No. 6 pp. 35-46 |
|
Abstract |
Small and Medium Enterprises (SMEs) are increasingly using ERP systems to connect and manage all their functions, whether internally between the different departments, or externally with customers in electronic commerce. However, the selection of the right ERP system is usually an issue, due to the complexities of identifying the criteria, weighting them, and selecting the best system and provider. Because cost is usually important for SMEs, ERP systems based on Cloud Software as a Service (SaaS) has been adopted by many SMEs. However, SMEs face an issue of selecting the right system. Therefore, this paper proposes a fuzziness ranking engine system in order to match the SMEs requirements with the most suitable service provider. The extensive experimental result shows that our approach has better result compared with traditional approaches. |
|
Keywords |
ERP; SME; Fuzzy Logic; Cloud Services; Ranking System |
|
URL |
|
|
Title |
Selecting the Right ERP System for SMEs: An Intelligent Ranking Engine of Cloud SaaS Service Providers based on Fuzziness Quality Attributes |
|
Author |
Mahmoud Ibrahim Fallatah and Mohammed Ikram |
| Citation |
Vol. 21 No. 6 pp. 35-46 |
|
Abstract |
Small and Medium Enterprises (SMEs) are increasingly using ERP systems to connect and manage all their functions, whether internally between the different departments, or externally with customers in electronic commerce. However, the selection of the right ERP system is usually an issue, due to the complexities of identifying the criteria, weighting them, and selecting the best system and provider. Because cost is usually important for SMEs, ERP systems based on Cloud Software as a Service (SaaS) has been adopted by many SMEs. However, SMEs face an issue of selecting the right system. Therefore, this paper proposes a fuzziness ranking engine system in order to match the SMEs requirements with the most suitable service provider. The extensive experimental result shows that our approach has better result compared with traditional approaches. |
|
Keywords |
ERP; SME; Fuzzy Logic; Cloud Services; Ranking System |
|
URL |
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Title |
Selecting the Right ERP System for SMEs: An Intelligent Ranking Engine of Cloud SaaS Service Providers based on Fuzziness Quality Attributes |
|
Author |
Mahmoud Ibrahim Fallatah and Mohammed Ikram |
| Citation |
Vol. 21 No. 6 pp. 63-69 |
|
Abstract |
Small and Medium Enterprises (SMEs) are increasingly using ERP systems to connect and manage all their functions, whether internally between the different departments, or externally with customers in electronic commerce. However, the selection of the right ERP system is usually an issue, due to the complexities of identifying the criteria, weighting them, and selecting the best system and provider. Because cost is usually important for SMEs, ERP systems based on Cloud Software as a Service (SaaS) has been adopted by many SMEs. However, SMEs face an issue of selecting the right system. Therefore, this paper proposes a fuzziness ranking engine system in order to match the SMEs requirements with the most suitable service provider. The extensive experimental result shows that our approach has better result compared with traditional approaches. |
|
Keywords |
ERP; SME; Fuzzy Logic; Cloud Services; Ranking System |
|
URL |
|
|
Title |
Selecting the Right ERP System for SMEs: An Intelligent Ranking Engine of Cloud SaaS Service Providers based on Fuzziness Quality Attributes |
|
Author |
Mahmoud Ibrahim Fallatah and Mohammed Ikram |
| Citation |
Vol. 21 No. 6 pp. 35-46 |
|
Abstract |
Small and Medium Enterprises (SMEs) are increasingly using ERP systems to connect and manage all their functions, whether internally between the different departments, or externally with customers in electronic commerce. However, the selection of the right ERP system is usually an issue, due to the complexities of identifying the criteria, weighting them, and selecting the best system and provider. Because cost is usually important for SMEs, ERP systems based on Cloud Software as a Service (SaaS) has been adopted by many SMEs. However, SMEs face an issue of selecting the right system. Therefore, this paper proposes a fuzziness ranking engine system in order to match the SMEs requirements with the most suitable service provider. The extensive experimental result shows that our approach has better result compared with traditional approaches. |
|
Keywords |
ERP; SME; Fuzzy Logic; Cloud Services; Ranking System |
|
URL |
|
|
Title |
Selecting the Right ERP System for SMEs: An Intelligent Ranking Engine of Cloud SaaS Service Providers based on Fuzziness Quality Attributes |
|
Author |
Mahmoud Ibrahim Fallatah and Mohammed Ikram |
| Citation |
Vol. 21 No. 6 pp. 35-46 |
|
Abstract |
Small and Medium Enterprises (SMEs) are increasingly using ERP systems to connect and manage all their functions, whether internally between the different departments, or externally with customers in electronic commerce. However, the selection of the right ERP system is usually an issue, due to the complexities of identifying the criteria, weighting them, and selecting the best system and provider. Because cost is usually important for SMEs, ERP systems based on Cloud Software as a Service (SaaS) has been adopted by many SMEs. However, SMEs face an issue of selecting the right system. Therefore, this paper proposes a fuzziness ranking engine system in order to match the SMEs requirements with the most suitable service provider. The extensive experimental result shows that our approach has better result compared with traditional approaches. |
|
Keywords |
ERP; SME; Fuzzy Logic; Cloud Services; Ranking System |
|
URL |
|
|
Title |
Selecting the Right ERP System for SMEs: An Intelligent Ranking Engine of Cloud SaaS Service Providers based on Fuzziness Quality Attributes |
|
Author |
Mahmoud Ibrahim Fallatah and Mohammed Ikram |
| Citation |
Vol. 21 No. 6 pp. 35-46 |
|
Abstract |
Small and Medium Enterprises (SMEs) are increasingly using ERP systems to connect and manage all their functions, whether internally between the different departments, or externally with customers in electronic commerce. However, the selection of the right ERP system is usually an issue, due to the complexities of identifying the criteria, weighting them, and selecting the best system and provider. Because cost is usually important for SMEs, ERP systems based on Cloud Software as a Service (SaaS) has been adopted by many SMEs. However, SMEs face an issue of selecting the right system. Therefore, this paper proposes a fuzziness ranking engine system in order to match the SMEs requirements with the most suitable service provider. The extensive experimental result shows that our approach has better result compared with traditional approaches. |
|
Keywords |
ERP; SME; Fuzzy Logic; Cloud Services; Ranking System |
|
URL |
|
|
Title |
Selecting the Right ERP System for SMEs: An Intelligent Ranking Engine of Cloud SaaS Service Providers based on Fuzziness Quality Attributes |
|
Author |
Mahmoud Ibrahim Fallatah and Mohammed Ikram |
| Citation |
Vol. 21 No. 6 pp. 35-46 |
|
Abstract |
Small and Medium Enterprises (SMEs) are increasingly using ERP systems to connect and manage all their functions, whether internally between the different departments, or externally with customers in electronic commerce. However, the selection of the right ERP system is usually an issue, due to the complexities of identifying the criteria, weighting them, and selecting the best system and provider. Because cost is usually important for SMEs, ERP systems based on Cloud Software as a Service (SaaS) has been adopted by many SMEs. However, SMEs face an issue of selecting the right system. Therefore, this paper proposes a fuzziness ranking engine system in order to match the SMEs requirements with the most suitable service provider. The extensive experimental result shows that our approach has better result compared with traditional approaches. |
|
Keywords |
ERP; SME; Fuzzy Logic; Cloud Services; Ranking System |
|
URL |
|
|
Title |
Selecting the Right ERP System for SMEs: An Intelligent Ranking Engine of Cloud SaaS Service Providers based on Fuzziness Quality Attributes |
|
Author |
Mahmoud Ibrahim Fallatah and Mohammed Ikram |
| Citation |
Vol. 21 No. 6 pp. 35-46 |
|
Abstract |
Small and Medium Enterprises (SMEs) are increasingly using ERP systems to connect and manage all their functions, whether internally between the different departments, or externally with customers in electronic commerce. However, the selection of the right ERP system is usually an issue, due to the complexities of identifying the criteria, weighting them, and selecting the best system and provider. Because cost is usually important for SMEs, ERP systems based on Cloud Software as a Service (SaaS) has been adopted by many SMEs. However, SMEs face an issue of selecting the right system. Therefore, this paper proposes a fuzziness ranking engine system in order to match the SMEs requirements with the most suitable service provider. The extensive experimental result shows that our approach has better result compared with traditional approaches. |
|
Keywords |
ERP; SME; Fuzzy Logic; Cloud Services; Ranking System |
|
URL |
|
|
Title |
Selecting the Right ERP System for SMEs: An Intelligent Ranking Engine of Cloud SaaS Service Providers based on Fuzziness Quality Attributes |
|
Author |
Mahmoud Ibrahim Fallatah and Mohammed Ikram |
| Citation |
Vol. 21 No. 6 pp. 35-46 |
|
Abstract |
Small and Medium Enterprises (SMEs) are increasingly using ERP systems to connect and manage all their functions, whether internally between the different departments, or externally with customers in electronic commerce. However, the selection of the right ERP system is usually an issue, due to the complexities of identifying the criteria, weighting them, and selecting the best system and provider. Because cost is usually important for SMEs, ERP systems based on Cloud Software as a Service (SaaS) has been adopted by many SMEs. However, SMEs face an issue of selecting the right system. Therefore, this paper proposes a fuzziness ranking engine system in order to match the SMEs requirements with the most suitable service provider. The extensive experimental result shows that our approach has better result compared with traditional approaches. |
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Keywords |
ERP; SME; Fuzzy Logic; Cloud Services; Ranking System |
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URL |
