Automation of Project Reference Management : design, Development, and Evaluation of a Full Stack Software Solution
Honkasalo, Sami (2025)
Julkaisun pysyvä osoite on
https://urn.fi/URN:NBN:fi:amk-202504146449
https://urn.fi/URN:NBN:fi:amk-202504146449
Tiivistelmä
Project reference management plays a critical role in public procurement and bidding processes. However, the manual management of references is often inefficient, inconsistent, and prone to errors. To address these issues, an automated project reference management system was developed for Nodeon Finland Oy. The objective of the research was to design, implement and evaluate a software solution that streamlines reference generation while maintaining compliance with procurement requirements.
The system was developed using the Constructive Research Approach, following an iterative process that included requirement analysis, system design, application development, cloud infrastructure deployment and refinements based on stakeholder feedback. The implementation utilized a technology stack aligned with the commissioner’s existing expertise, prioritizing in-house expertise, maintainability, and long-term sustainability. The system was integrated into an existing project management system, with additional data enrichment solutions developed to accommodate the dynamic nature of reference requirements.
The tool significantly reduced the manual effort required for reference management while improving data accuracy. It enables efficient and dynamic retrieval and formatting of project references for the organization and its employees. These results were evaluated through user feedback collected using purposive sampling. Future enhancements for the tool should focus on extending automation capabilities and refining data enrichment and querying functionalities.
The system was developed using the Constructive Research Approach, following an iterative process that included requirement analysis, system design, application development, cloud infrastructure deployment and refinements based on stakeholder feedback. The implementation utilized a technology stack aligned with the commissioner’s existing expertise, prioritizing in-house expertise, maintainability, and long-term sustainability. The system was integrated into an existing project management system, with additional data enrichment solutions developed to accommodate the dynamic nature of reference requirements.
The tool significantly reduced the manual effort required for reference management while improving data accuracy. It enables efficient and dynamic retrieval and formatting of project references for the organization and its employees. These results were evaluated through user feedback collected using purposive sampling. Future enhancements for the tool should focus on extending automation capabilities and refining data enrichment and querying functionalities.