Estimating the Cost and Effort of Project Management for Enterprise Resource Planning Systems Development Projects

This research addresses a significant challenge in project management (PM) by focusing on quantifying PM cost and effort specifically for system development projects. Previous literature on PM costs and efforts has highlighted gaps, often being outdated and potentially encompassing a mix of projects from various industries, project types, and system environments that were not differentiated by research. Current industry practices predominantly rely on anecdotal experience rather than scientific data and methods. To address these shortcomings, the study employs a systematic approach introducing the Constructive Project Management Cost Model (COPROJEMO), a parametric tool featuring five size drivers and ten effort multipliers. COPROJEMO places emphasis on PM attributes, effectively bridging knowledge gaps and offering specialized features and transparent model constructs that are lacking in commercial tools. This model proves beneficial to diverse industry practitioners and researchers alike, providing a robust tool for efficient project planning, budgeting, and reliable cost estimation.

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Publication Details

Published
2024-10-16
DOI
https://doi.org/10.1109/isse63315.2024.10741124
Citations
1
Primary Topic
Advanced Research in Systems and Signal Processing
Type
article
Field-Weighted Citation Impact
0.33
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article

Estimating the Cost and Effort of Project Management for Enterprise Resource Planning Systems Development Projects

Mo Mansouri, Leone Young, Ricardo Valerdi
1 citations
Advanced Research in Systems and Signal Processing
0.33
article

Estimating the Cost and Effort of Project Management for Enterprise Resource Planning Systems Development Projects

Mo Mansouri, Leone Young, Ricardo Valerdi
article en
1 citations

Abstract

This research addresses a significant challenge in project management (PM) by focusing on quantifying PM cost and effort specifically for system development projects. Previous literature on PM costs and efforts has highlighted gaps, often being outdated and potentially encompassing a mix of projects from various industries, project types, and system environments that were not differentiated by research. Current industry practices predominantly rely on anecdotal experience rather than scientific data and methods. To address these shortcomings, the study employs a systematic approach introducing the Constructive Project Management Cost Model (COPROJEMO), a parametric tool featuring five size drivers and ten effort multipliers. COPROJEMO places emphasis on PM attributes, effectively bridging knowledge gaps and offering specialized features and transparent model constructs that are lacking in commercial tools. This model proves beneficial to diverse industry practitioners and researchers alike, providing a robust tool for efficient project planning, budgeting, and reliable cost estimation.

Stevens Institute of Technology (US), University of Arizona (US)
Openalex Percentile: Top 40%
Advanced Research in Systems and Signal Processing
0.33
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