Home // International Journal On Advances in Software, volume 17, numbers 1 and 2, 2024 // View article


The Project Management Assistant that Never Sleeps - Using Generative Artificial Intelligence to Support Project Management Activities

Authors:
Claudia Hess
Sibylle Kunz

Keywords: Large Language Model (LLM); generative Artificial Intelligence; project management; stakeholder management; prompt engineering

Abstract:
Over the past few years, people have become accustomed to using a variety of digital tools in their work environment, e.g., for collaboration, knowledge management and task management. Recently, people have become aware of a new type of digital tool: Generative Artificial Intelligence (AI) assistants, such as ChatGPT, Gemini or Copilot, which are capable of generating text as well as other forms of content, such as images, music, and even code in response to user queries in natural language. These tools have a huge impact on the way we work. New application scenarios are constantly being explored and Generative AI assistants are being used in fields such as marketing, medicine, and education. This paper discusses a use case in the field of project management. It analyzes how Generative AI assistants could support project management tasks performed by project managers and project management assistants. It also discusses the new skills that these persons must acquire in order to interact with the tools in an efficient way and to use the results provided responsibly. An extensive case study shows how selected project management tasks, i.e., stakeholder management, can benefit from the support of a Generative AI assistant. The case study covers a wide range of project-related activities, including its use in brainstorming, creating a stakeholder matrix, writing meeting invitations, and sentiment analysis. The results of the GenAI assistant for each task are evaluated while special attention is given to the aspects of trust and control in such settings.

Pages: 44 to 58

Copyright: Copyright (c) to authors, 2024. Used with permission.

Publication date: June 30, 2024

Published in: journal

ISSN: 1942-2628