Evaluating and Ranking of Critical Success Factors of Cloud Enterprise Resource Planning Adoption Using MCDM Approach

Digital technology advancement and the Internet of Things (IoT) are playing a major role to take a big leap towards achieving Industry 4.0. Cloud-based data management and big data analytics have given rise to adopt Cloud Enterprise Resource Planning (CERP). The CERP has become a significant tool fo...

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Main Authors: Quadri Noorulhasan Naveed, Saiful Islam, Mohamed Rafik Noor Mohamed Qureshi, Ali M. Aseere, Mohammed Aref Abdul Rasheed, Sadaf Fatima
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Online Access:https://ieeexplore.ieee.org/document/9622237/
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author Quadri Noorulhasan Naveed
Saiful Islam
Mohamed Rafik Noor Mohamed Qureshi
Ali M. Aseere
Mohammed Aref Abdul Rasheed
Sadaf Fatima
author_facet Quadri Noorulhasan Naveed
Saiful Islam
Mohamed Rafik Noor Mohamed Qureshi
Ali M. Aseere
Mohammed Aref Abdul Rasheed
Sadaf Fatima
author_sort Quadri Noorulhasan Naveed
collection DOAJ
description Digital technology advancement and the Internet of Things (IoT) are playing a major role to take a big leap towards achieving Industry 4.0. Cloud-based data management and big data analytics have given rise to adopt Cloud Enterprise Resource Planning (CERP). The CERP has become a significant tool for the success of the information management system (IMS) which is ultimately responsible for the success of any organization. The selection of CERP depends on many critical success factors (CSFs) that must be considered while evaluating and selecting a CERP. In this work, identified CSFs of CERP are modeled using a multi-criteria decision-making (MCDM) approach. The Analytic Hierarchy Process (AHP) and Fuzzy Analytic Hierarchy Process (FAHP) based modelling have been carried out to derive the ranking of the CSFs responsible for the CERP. The group decision-making (GDM) based AHP has also been adopted to build the decision-making model. The paper models 5 Dimensions and 20 sub-criteria factors to provide the prioritized rank of Dimensions and CSFs. The AHP and FAHP models identify the ranking of the 5 Dimensions as Organizational Behavior, Cloud ERP Essentials, Technological Advancement, Innovational Ideas, and Environmental Impact.
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spelling doaj.art-9c9c248257fe429fba15f219612753792022-12-22T04:24:42ZengIEEEIEEE Access2169-35362021-01-01915688015689310.1109/ACCESS.2021.31295239622237Evaluating and Ranking of Critical Success Factors of Cloud Enterprise Resource Planning Adoption Using MCDM ApproachQuadri Noorulhasan Naveed0https://orcid.org/0000-0003-2757-4138Saiful Islam1Mohamed Rafik Noor Mohamed Qureshi2https://orcid.org/0000-0002-9508-8724Ali M. Aseere3Mohammed Aref Abdul Rasheed4Sadaf Fatima5College of Computer Science, King Khalid University, Abha, Saudi ArabiaCollege of Engineering, King Khalid University, Abha, Saudi ArabiaCollege of Engineering, King Khalid University, Abha, Saudi ArabiaCollege of Computer Science, King Khalid University, Abha, Saudi ArabiaDepartment of MIS, College of Commerce and Business Administration, Dhofar University, Salalah, OmanDepartment of Business Administration, Aligarh Muslim University, Aligarh, IndiaDigital technology advancement and the Internet of Things (IoT) are playing a major role to take a big leap towards achieving Industry 4.0. Cloud-based data management and big data analytics have given rise to adopt Cloud Enterprise Resource Planning (CERP). The CERP has become a significant tool for the success of the information management system (IMS) which is ultimately responsible for the success of any organization. The selection of CERP depends on many critical success factors (CSFs) that must be considered while evaluating and selecting a CERP. In this work, identified CSFs of CERP are modeled using a multi-criteria decision-making (MCDM) approach. The Analytic Hierarchy Process (AHP) and Fuzzy Analytic Hierarchy Process (FAHP) based modelling have been carried out to derive the ranking of the CSFs responsible for the CERP. The group decision-making (GDM) based AHP has also been adopted to build the decision-making model. The paper models 5 Dimensions and 20 sub-criteria factors to provide the prioritized rank of Dimensions and CSFs. The AHP and FAHP models identify the ranking of the 5 Dimensions as Organizational Behavior, Cloud ERP Essentials, Technological Advancement, Innovational Ideas, and Environmental Impact.https://ieeexplore.ieee.org/document/9622237/Analytic hierarchy process (AHP)cloud enterprise resource planning (CERP)fuzzy AHP (FAHP)industry 40information system (IS)information technology (IT)
spellingShingle Quadri Noorulhasan Naveed
Saiful Islam
Mohamed Rafik Noor Mohamed Qureshi
Ali M. Aseere
Mohammed Aref Abdul Rasheed
Sadaf Fatima
Evaluating and Ranking of Critical Success Factors of Cloud Enterprise Resource Planning Adoption Using MCDM Approach
IEEE Access
Analytic hierarchy process (AHP)
cloud enterprise resource planning (CERP)
fuzzy AHP (FAHP)
industry 40
information system (IS)
information technology (IT)
title Evaluating and Ranking of Critical Success Factors of Cloud Enterprise Resource Planning Adoption Using MCDM Approach
title_full Evaluating and Ranking of Critical Success Factors of Cloud Enterprise Resource Planning Adoption Using MCDM Approach
title_fullStr Evaluating and Ranking of Critical Success Factors of Cloud Enterprise Resource Planning Adoption Using MCDM Approach
title_full_unstemmed Evaluating and Ranking of Critical Success Factors of Cloud Enterprise Resource Planning Adoption Using MCDM Approach
title_short Evaluating and Ranking of Critical Success Factors of Cloud Enterprise Resource Planning Adoption Using MCDM Approach
title_sort evaluating and ranking of critical success factors of cloud enterprise resource planning adoption using mcdm approach
topic Analytic hierarchy process (AHP)
cloud enterprise resource planning (CERP)
fuzzy AHP (FAHP)
industry 40
information system (IS)
information technology (IT)
url https://ieeexplore.ieee.org/document/9622237/
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