Optimizing project management software selection through the lens of the analytical hierarchy process

Tools

Ojiako, Udi; (2024) Optimizing project management software selection through the lens of the analytical hierarchy process. In: 2024 International Conference on Engineering and Emerging Technologies (ICEET). International Conference on Engineering and Emerging Technologies (ICEET) . IEEE, ARE. (In Press)

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Abstract

In the field of Project Management (PM), the complex nature of projects necessitates the adoption of project management software as a fundamental practice for planning, executing, and controlling projects. However, selecting the appropriate project management software poses numerous challenges and difficulties. These challenges include varying software features that must align with specific project needs, scalability concerns, and varying levels of user expertise. To this end, this research seeks to develop a PM software selection model for the key domain of time management knowledge area specified by the Project Management Institute (PMI) under the Analytical Hierarchy Process (AHP) environment. A two-phase research methodology was adopted for data collection, analysis, and processing. The first phase involved a systematic literature review to identify the key software for time management domain, the characteristics, and selection criteria. The second phase involved developing an AHP model to quantitively determine the importance of each selection criterion. The findings of this research provide project managers, software procurement teams, and organisational decision-makers with a systematic approach to select the most suitable time management software for their specific needs. The developed model enables them to navigate the complexities of various software options and make informed decisions that align with their strategic goals and project demands.

ORCID iDs

Ojiako, Udi ORCID logoORCID: https://orcid.org/0000-0003-0506-2115;
CORE (COnnecting REpositories)