loading
Papers Papers/2022 Papers Papers/2022

Research.Publish.Connect.

Paper

Authors: Filippo Ottaviani ; Massimo Rebuglio and Alberto De Marco

Affiliation: Department of Management and Production Engineering, Politecnico di Torino, Turin, 10129, Italy

Keyword(s): Project Management, Information System, Data Model.

Abstract: The Project Management (PM) discipline is evolving towards the adoption of digital technologies, which are to be integrated into a project management information system (PMIS). Despite the fact that many PMIS solutions are already available, there is no standard data model for PMIS development, nor is the logic underlying PMIS. Therefore, organizations struggle to integrate other business applications into the PMIS and cannot leverage the data collected to improve both project management and execution. To address these issues, this paper aims to provide a standard PMIS model as a foundation for database design and software development. The PM objects are first identified and then represented in a data model that outlines their attributes and methods and the relationships between the classes. All classes are structured to accommodate in their interface the core PM processes, such as task and resource management, project scheduling, risk management, and progress control. The study eval uates the impact and benefits of implementing this standard model while acknowledging its limitations and providing recommendations for practical implementation. (More)

CC BY-NC-ND 4.0

Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 18.226.251.22

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

Paper citation in several formats:
Ottaviani, F.; Rebuglio, M. and De Marco, A. (2023). Project Management Information System Data Model Development and Explanation. In Proceedings of the 13th International Conference on Simulation and Modeling Methodologies, Technologies and Applications - SIMULTECH; ISBN 978-989-758-668-2; ISSN 2184-2841, SciTePress, pages 210-217. DOI: 10.5220/0012052200003546

@conference{simultech23,
author={Filippo Ottaviani. and Massimo Rebuglio. and Alberto {De Marco}.},
title={Project Management Information System Data Model Development and Explanation},
booktitle={Proceedings of the 13th International Conference on Simulation and Modeling Methodologies, Technologies and Applications - SIMULTECH},
year={2023},
pages={210-217},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012052200003546},
isbn={978-989-758-668-2},
issn={2184-2841},
}

TY - CONF

JO - Proceedings of the 13th International Conference on Simulation and Modeling Methodologies, Technologies and Applications - SIMULTECH
TI - Project Management Information System Data Model Development and Explanation
SN - 978-989-758-668-2
IS - 2184-2841
AU - Ottaviani, F.
AU - Rebuglio, M.
AU - De Marco, A.
PY - 2023
SP - 210
EP - 217
DO - 10.5220/0012052200003546
PB - SciTePress