Artificial Intelligence and Project Management: An Integrated Approach to Knowle

Publisher Description

Although some people had doubts about the usefulness of such solutions in the past, artificial intelligence (AI) plays a growing role in modern business. It can be expected that the interest in it will also lead to an increase in support for the planning, evaluation, and implementation of projects. In particular, the proper functioning of multifaceted evaluation methods has a crucial impact on the appropriate planning and execution of various projects, as well as the effective achievement of the organization's goals. This book offers a presentation of the complex problems and challenges related to the development of AI in project management, proposes an integrated approach to knowledge-based evaluation, and indicates the possibilities of improving professional practical knowledge in this field.The unique contribution of this book is to draw attention to the possibilities resulting from conducting transdisciplinary research and drawing on the rich achievements in the field of research development on knowledge-based systems that can be used to holistically support the processes of planning, evaluation, and project management. The concept of the integrated approach to knowledge-based evaluation is presented and developed as a result of drawing inspiration mainly from the systems approach, generative AI, and selected mathematical models.Presented in a highly accessible manner, the book discusses mathematical tools in a simple way, which enables understanding of the content by readers across broad subject areas who may be not only participants in specialist training and university students but also practitioners, consultants, or evaluators. This book will be a valuable resource for academics and upper-level students, in particular, across project management-related fields, and of great interest to all those looking to understand the challenges and effectiveness of AI in business.

Author Biography

Tadeusz A. Grzeszczyk is Associate Professor in the Faculty of Management at Warsaw University of Technology, Poland. He engages in scientific and didactic activities focused on scientific research methodologies, encompassing qualitative, quantitative, and mixed methods approaches in the realms of management, social and economic sciences, and evaluation research. His scientific interests span methodological assistance for project and program evaluations, AI decision-support methods, and knowledge-based systems. He has written over a hundred papers and contributed to several books. Additionally, he is a reviewer for numerous journals indexed in the Web of Science or Scopus databases, and evaluates a number of national and international project proposals. His involvement extends to being a member of various national and international scientific societies, editorial boards, and advisory committees.

Table of Contents

1 Introduction2 AI in Business2.1 The Essence and Potential of Artificial Intelligence2.2 Machine Learning and Neural Networks2.3 Generative AI in Organizations2.4 Rough Set Models2.5 Knowledge-Based Systems3 Selected AI Applications in Project Management3.1 Data-Driven Project Management3.2 Generative AI in Modern Project Management3.3 Learning Models for Project Evaluation3.4 Applications of Rule-Based Systems3.5 Methodological Approaches for Multicriteria Knowledge-Based Project Analysis4 AI-Driven Knowledge-Based Evaluation4.1 Preliminary Comments about Evaluation System Modeling4.2 Integrated Approach4.3 Knowledge Discovery Through Learning4.4 Combining Rule-Based Systems and Generative AI4.5 Building and Assessing AI-Powered Knowledge Base4.6 Using Knowledge-Based Evaluation Systems5 Conclusions

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