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The Key to Success in Scientific Research

Analysis of Software Tools for Planning and Execution of Research Grant Projects

Bibliographic Data

ID22359705
AuthorsKatarína Pagáčová (DTI University), Andreas Skraba, Andrej Škraba (0000-0002-4471-6743, DTI University)
Year2025
Volume4
Issue1
Publication date2025-02-19
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueJournal of Ecohumanism (JOURNAL)
Journal identifiersISSN: 2752-6798 • E-ISSN: 2752-6801
PublisherCreative Publishing House (PUBLISHER • GB)
DOI10.62754/joe.v4i1.6461
OpenAlexW4407738507
LanguageEN

The planning and management of grant-funded scientific and research projects in academic settings pose significant challenges due to their complexity, financial transparency requirements, and the need for effective interdisciplinary collaboration. This research analyses and evaluates selected software tools tailored for project management, aiming to identify the most suitable solution for planning and implementing such projects. The research focused on widely-used tools within the Czech and Slovak markets. A multi-criteria evaluation methodology was employed, incorporating both weighted and unweighted scoring systems to assess seven identified criteria. Results indicate that Easy Project outperforms other tools due to its strong localisation, comprehensive resource management, and cost transparency, making it particularly suitable for grant-funded academic projects. The findings align with existing studies emphasising the importance of financial transparency, the role of communication tools, and the potential of technologies like digital twins and AI for project planning and optimisation. This research provides a foundation for improving project management practices and achieving greater success in scientific research initiatives

Business · Engineering management · Enterprise resource planning · Knowledge management · Management science · Process management · Project management · Project planning · Software development · Software project management · Systems engineering · Big Data and Business Intelligence · Computer Science · Engineering · Software

Citation velocityhistorical
Highly citedNo

Tools

Open DOIOpen Access
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