Effective project portfolio management for SMEs: A conceptual framework using business intelligence tools

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21220%2F25%3A00378538" target="_blank" >RIV/68407700:21220/25:00378538 - isvavai.cz</a>
Result on the web
<a href="https://doi.org/10.1016/j.procs.2025.01.136" target="_blank" >https://doi.org/10.1016/j.procs.2025.01.136</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1016/j.procs.2025.01.136" target="_blank" >10.1016/j.procs.2025.01.136</a>

Result language
angličtina
Original language name
Effective project portfolio management for SMEs: A conceptual framework using business intelligence tools
Original language description
This article investigates the integration of project management and business intelligence (BI) tools to improve operations in project based SMEs. While these implementations can improve efficiency and decision-making, they are generally prohibitively expensive for resource-constrained SMEs. Existing approaches are primarily aimed at larger enterprises, leaving a need for scalable, cost effective solutions for SMEs. As a result, this study assesses current implementations and suggests an alternative approach. This platform, which is built around a neural network trained on a bespoke data model and a chatbot for data collection, makes project management easier even for those with limited BI knowledge. It is being tested in selected mechanical engineering SMEs with the goal of improving performance, lowering risks, and increasing project success, overcoming the limits of current methodologies and providing SMEs with a competitive advantage.
Czech name
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Czech description
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Publication year
2025
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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