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DOI: 10.14569/IJACSA.2022.0130749
PDF

Fit-Gap Analysis: Pre-Fit-Gap Analysis Recommendations and Decision Support Model

Author 1: LAHLOU Imane
Author 2: MOTAKI Nourredine
Author 3: SARSRI Driss
Author 4: L’YARFI Hanane

International Journal of Advanced Computer Science and Applications(IJACSA), Volume 13 Issue 7, 2022.

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Abstract: Enterprise Resource Planning (ERP) system has been defined as a configurable Commercial Off-The-Shelf (COTS) system integrated into multiple business functions. For most companies, adopting ERP has become necessary to maintain market competitiveness. However, ERP implementation is still critical because project success depends on multiple parameters and involves several stakeholders. This article deals with the Fit-Gap analysis stage, which is an essential step in ERP implementation. This study was carried out through a literature review and interviews with experts to gather information and support stakeholders toward a successful Fit-Gap phase. It presents a set of recommendations for clients and consultants to consider before starting the Fit-Gap Analysis phase, and it presents an approach, with a decision support model represented as Business Process Modelling Notation (BPMN) based on several parameters to be used during the Fit-Gap Analysis stage to bridge gaps. The results obtained are intended for clients and consultants to make the most rational decision to bridge gaps based on the recommendations found, the approach and the decision support models presented.

Keywords: ERP systems; misfit; customisation; fit-gap analysis

LAHLOU Imane, MOTAKI Nourredine, SARSRI Driss and L’YARFI Hanane, “Fit-Gap Analysis: Pre-Fit-Gap Analysis Recommendations and Decision Support Model” International Journal of Advanced Computer Science and Applications(IJACSA), 13(7), 2022. http://dx.doi.org/10.14569/IJACSA.2022.0130749

@article{Imane2022,
title = {Fit-Gap Analysis: Pre-Fit-Gap Analysis Recommendations and Decision Support Model},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2022.0130749},
url = {http://dx.doi.org/10.14569/IJACSA.2022.0130749},
year = {2022},
publisher = {The Science and Information Organization},
volume = {13},
number = {7},
author = {LAHLOU Imane and MOTAKI Nourredine and SARSRI Driss and L’YARFI Hanane}
}



Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.

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