1st Edition

Artificial Intelligence and Project Management An Integrated Approach to Knowledge-Based Evaluation

By Tadeusz A. Grzeszczyk Copyright 2024
88 Pages 6 B/W Illustrations
by Routledge

88 Pages 6 B/W Illustrations
by Routledge

88 Pages 6 B/W Illustrations
by Routledge

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... Read more

1         Introduction

 

2         AI in Business

2.1    The Essence and Potential of Artificial Intelligence

2.2    Machine Learning and Neural Networks

2.3    Generative AI in Organizations

2.4    Rough Set Models

2.5    Knowledge-Based Systems

 

3         Selected AI Applications in Project Management

3.1    Data-Driven Project Management

3.2    Generative AI in Modern Project Management

3.3    Learning Models for Project Evaluation

3.4    Applications of Rule-Based Systems

3.5    Methodological Approaches for Multicriteria Knowledge-Based Project Analysis

 

4         AI-Driven Knowledge-Based Evaluation

4.1    Preliminary Comments about Evaluation System Modeling

4.2    Integrated Approach

4.3    Knowledge Discovery Through Learning

4.4    Combining Rule-Based Systems and Generative AI

4.5    Building and Assessing AI-Powered Knowledge Base

4.6    Using Knowledge-Based Evaluation Systems

 

5         Conclusions

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.