Decision making on adoption of cloud computing in e-commerce using fuzzy TOPSIS

Osama Sohaib; Mohsen Naderpour

doi:10.1109/FUZZ-IEEE.2017.8015404

Decision making on adoption of cloud computing in e-commerce using fuzzy TOPSIS

Osama Sohaib
, Mohsen Naderpour

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

23 Citations (Scopus)

Abstract

Cloud computing promises enhanced scalability, flexibility, and cost-efficiency. In practice, however, there are many uncertainties about the usage of cloud computing resources in the e-commerce context. As e-commerce is dependent on a reliable and secure online store, it is important for decision makers to adopt an optimal cloud computing mode (Such as SaaS, PaaS and IaaS). This study assesses the factors associated with cloud-based e-commerce based on TOE (technological, organizational, and environmental) framework using multi-criteria decision-making technique (Fuzzy TOPSIS). The results show that Fuzzy TOPSIS (Technique for Order of Preference by Similarity to Ideal Solution) approach proposes software-as-a-service (SaaS) as the best choice for e-commerce business.

Original language	English
Title of host publication	2017 IEEE International Conference on Fuzzy Systems, FUZZ 2017
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781509060344
DOIs	https://doi.org/10.1109/FUZZ-IEEE.2017.8015404
Publication status	Published - Aug 23 2017
Externally published	Yes
Event	2017 IEEE International Conference on Fuzzy Systems, FUZZ 2017 - Naples, Italy Duration: Jul 9 2017 → Jul 12 2017

Publication series

Name	IEEE International Conference on Fuzzy Systems
ISSN (Print)	1098-7584

Conference

Conference	2017 IEEE International Conference on Fuzzy Systems, FUZZ 2017
Country/Territory	Italy
City	Naples
Period	7/9/17 → 7/12/17

Keywords

Cloud Computing
E-commerce
Fuzzy TOPSIS
MCDM

ASJC Scopus subject areas

Software
Theoretical Computer Science
Artificial Intelligence
Applied Mathematics

Access to Document

10.1109/FUZZ-IEEE.2017.8015404

Cite this

Decision making on adoption of cloud computing in e-commerce using fuzzy TOPSIS. / Sohaib, Osama; Naderpour, Mohsen.
2017 IEEE International Conference on Fuzzy Systems, FUZZ 2017. Institute of Electrical and Electronics Engineers Inc., 2017. 8015404 (IEEE International Conference on Fuzzy Systems).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Sohaib, O & Naderpour, M 2017, Decision making on adoption of cloud computing in e-commerce using fuzzy TOPSIS. in 2017 IEEE International Conference on Fuzzy Systems, FUZZ 2017., 8015404, IEEE International Conference on Fuzzy Systems, Institute of Electrical and Electronics Engineers Inc., 2017 IEEE International Conference on Fuzzy Systems, FUZZ 2017, Naples, Italy, 7/9/17. https://doi.org/10.1109/FUZZ-IEEE.2017.8015404

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abstract = "Cloud computing promises enhanced scalability, flexibility, and cost-efficiency. In practice, however, there are many uncertainties about the usage of cloud computing resources in the e-commerce context. As e-commerce is dependent on a reliable and secure online store, it is important for decision makers to adopt an optimal cloud computing mode (Such as SaaS, PaaS and IaaS). This study assesses the factors associated with cloud-based e-commerce based on TOE (technological, organizational, and environmental) framework using multi-criteria decision-making technique (Fuzzy TOPSIS). The results show that Fuzzy TOPSIS (Technique for Order of Preference by Similarity to Ideal Solution) approach proposes software-as-a-service (SaaS) as the best choice for e-commerce business.",

keywords = "Cloud Computing, E-commerce, Fuzzy TOPSIS, MCDM",

author = "Osama Sohaib and Mohsen Naderpour",

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doi = "10.1109/FUZZ-IEEE.2017.8015404",

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AU - Naderpour, Mohsen

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N2 - Cloud computing promises enhanced scalability, flexibility, and cost-efficiency. In practice, however, there are many uncertainties about the usage of cloud computing resources in the e-commerce context. As e-commerce is dependent on a reliable and secure online store, it is important for decision makers to adopt an optimal cloud computing mode (Such as SaaS, PaaS and IaaS). This study assesses the factors associated with cloud-based e-commerce based on TOE (technological, organizational, and environmental) framework using multi-criteria decision-making technique (Fuzzy TOPSIS). The results show that Fuzzy TOPSIS (Technique for Order of Preference by Similarity to Ideal Solution) approach proposes software-as-a-service (SaaS) as the best choice for e-commerce business.

AB - Cloud computing promises enhanced scalability, flexibility, and cost-efficiency. In practice, however, there are many uncertainties about the usage of cloud computing resources in the e-commerce context. As e-commerce is dependent on a reliable and secure online store, it is important for decision makers to adopt an optimal cloud computing mode (Such as SaaS, PaaS and IaaS). This study assesses the factors associated with cloud-based e-commerce based on TOE (technological, organizational, and environmental) framework using multi-criteria decision-making technique (Fuzzy TOPSIS). The results show that Fuzzy TOPSIS (Technique for Order of Preference by Similarity to Ideal Solution) approach proposes software-as-a-service (SaaS) as the best choice for e-commerce business.

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KW - Fuzzy TOPSIS

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Decision making on adoption of cloud computing in e-commerce using fuzzy TOPSIS

Abstract

Publication series

Conference

Keywords

ASJC Scopus subject areas

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