Optimization of Gaps Resolution Strategy in Implementation of ERP Systems

Jānis Grabis

Abstract

Enterprise Resources Planning (ERP) systems are packaged applications developed by their vendors. Their functionality is not specifically tailored to particular companies implementing these systems. Differences between provided functionality and company’s needs are identified using fit-gap analysis. The paper develops a novel optimization model for fit-gap analysis. The model yields an optimal gaps resolution strategy, which defines type and timing of customizations made to resolve the gaps and decisions are made with respect to the vendor’s software evolution roadmap. Thus, the model highlights trade-offs between in-house customization and adoption of standard features yet to be released. The optimization results are analysed depending on the company’s customization preferences and an application example is also provided. The model allows for understanding and evaluation of relationships between the company implementing the ERP system and the vendor of the ERP system.

Download


Paper Citation


in Harvard Style

Grabis J. (2019). Optimization of Gaps Resolution Strategy in Implementation of ERP Systems.In Proceedings of the 21st International Conference on Enterprise Information Systems - Volume 1: ICEIS, ISBN 978-989-758-372-8, pages 84-92. DOI: 10.5220/0007710000840092


in Bibtex Style

@conference{iceis19,
author={Jānis Grabis},
title={Optimization of Gaps Resolution Strategy in Implementation of ERP Systems},
booktitle={Proceedings of the 21st International Conference on Enterprise Information Systems - Volume 1: ICEIS,},
year={2019},
pages={84-92},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0007710000840092},
isbn={978-989-758-372-8},
}


in EndNote Style

TY - CONF

JO - Proceedings of the 21st International Conference on Enterprise Information Systems - Volume 1: ICEIS,
TI - Optimization of Gaps Resolution Strategy in Implementation of ERP Systems
SN - 978-989-758-372-8
AU - Grabis J.
PY - 2019
SP - 84
EP - 92
DO - 10.5220/0007710000840092