Business and technology uncertainties in ERP-systems implementation projects based on waterfall and multi-pass models

Подробности

Опубликовано: 01.07.2023 16:54

Автор: Степанов Дмитрий Юрьевич

Просмотров: 537

Abstract: ERP-systems have limited number of business objects and functions to cover user requirements. ERP-projects are characterized by high level of business uncertainty and low level of technology uncertainty. Business uncertainty leads new requirements. The requirements impact on already developed ERP functionality and demand it’s change. Neither of implementation models can eliminate business uncertainty, that is existing programs will be modified anyway. New user requirements in ERP-projects are realized as a separate sub-projects via change requests according to one-pass implementation model. Multi-pass model manages new requirements by means of planning it to next iterations. Though multi-pass models (Agile) are very popular nowadays, they do not bring much value in comparison with one-pass model. All implementation models are weak to business uncertainty in ERP-projects, however they have ways how to manage it.
Key words: uncertainty in ERP, managing uncertainty in ERP, contingency plans in ERP, uncertainty on SAP, uncertainty in Agile projects, uncertainty in Scrum, uncertainty in your Agile projects, uncertainty with Agile, manage Agile uncertainty, managing risk and uncertainty in Agile, strategy under uncertainty, risk and uncertainty in business, overcome uncertainty in business.
Conference: XI International Conference on High-Performance Computing Systems and Technologies in Scientific Research, Automation of Control and Production, Russia, Barnaul, 21-11 May 2021 (HPCST – 2021).
Download: PDF (presentation).
Source: Link (article 1), link (article 2).

Выходные данные

Dmitry Yu. Stepanov. Using waterfall, iterative and spiral models in ERP-system implementation projects under uncertainty // Journal of Physics: Conference Series. 11. «XI International Conference on High-Performance Computing Systems and Technologies in Scientific Research, Automation of Control and Production, HPCST 2021». – 2021. – p.120-129. – URL: https://stepanovd.com/science/article/116-2021-7-uncertainty.