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Detailed Table of Contents
Preface ................................................................................................................. xii
Chapter 1
Introduction to Project Management Information Systems (PMIS):
Empowering Modern Project Management Through Technology ........................ 1
Sherif Mohamed A. Ismail, American University in Cairo, Egypt
Ghada Esmat, Alexandria University, Egypt
This chapter explores the transformative role of Project Management Information
Systems (PMIS) in modern project management. It discusses how PMIS integrates
various tools, processes, and resources to enable efficient project planning, execution,
and monitoring across industries. The chapter highlights key functionalities of
PMIS, including centralized data management, real- time reporting, resource
optimization, and risk management, demonstrating their contribution to improved
decision- making, collaboration, and strategic alignment. Emphasis is placed on the
types of PMIS, such as standalone, integrated, and cloud- based solutions, alongside
the emerging impact of technologies like Artificial Intelligence and the Internet of
Things. By addressing the complexities of today's volatile, uncertain, complex, and
ambiguous (VUCA) project environments, this chapter underscores the importance
of selecting and implementing PMIS effectively to achieve organizational goals and
drive sustainable success.
Chapter 2
Components and Architecture of Project Management Information Systems:
Exploring PMIS Dynamics .................................................................................. 49
Sherif Mohamed A. Ismail, American University in Cairo, Egypt
Ghada Esmat Salama, Alexandria University, Egypt
This chapter elucidates the pivotal roles and intricate architectures of Project
Management Information Systems (PMIS) in contemporary organizational contexts.
It explores the evolution from simple manual setups to advanced, technology-
driven frameworks integrating artificial intelligence (AI) and cloud computing.
The discussion highlights the distinct components of PMIS, including hardware,
software, and user interfaces, alongside the client- server and cloud- based architectures
that enhance accessibility and operational efficiency. Through empirical evidence
and case studies, the benefits such as improved project accuracy, efficiency, and
decision- making are examined. Additionally, the chapter addresses the challenges
in PMIS implementation and predicts future trends, including the integration of
machine learning and blockchain technologies, which are set to revolutionize project
management practices.
Chapter 3
The Role of Project Management Information Systems (PMIS) in Decision-
Making Tools and Software for Effective Project Management ......................... 99
Smriti Tandon Gupta, Graphic Era University, India
Navin Kumar, Bharat College of Law, India
Pawan Kumar, Graphic Era University (Deemed), Dehradun, India
The growing trend of remote work and the proliferation of mobile technology drive
the need for enhanced mobile accessibility in PMIS. As project managers and team
members increasingly rely on mobile devices to access project information and
collaborate, PMIS must adapt to meet these demands. Furthermore, it explores the
symbiotic relationship between PMIS and stakeholder commitment, emphasizing the
imperative of collaborative frameworks in fostering transparency and answerability.
As the landscape of project management evolves, the integration of advanced
technologies such as artificial intelligence and machine learning within PMIS is
posited as a transformative trajectory, promising to further refine decision- making
paradigms and optimize project outcomes. This chapter asserts that the prudent
implementation of PMIS transcends mere technological augmentation, constituting
an essential cornerstone for enduring project success in an increasingly intricate
and dynamic milieu.
Chapter 4
The Impact of AI and Data Analytics on Project Management Information
Systems (PMIS) ................................................................................................ 117
Mayur Jariwala, University of the Cumberlands, USA
This chapter explores the transformative role of Artificial Intelligence (AI) and
Data Analytics in modern Project Management Information Systems (PMIS).
It delves into how these technologies redefine project planning, execution, and
monitoring, enhancing efficiency and decision- making capabilities. AI empowers
project managers with predictive analytics, automation, and real- time insights,
enabling proactive responses to risks and bottlenecks. Data analytics complements
this by uncovering patterns, diagnosing issues, and prescribing optimal strategies
for improved outcomes. Real- world applications illustrate the strategic alignment
of projects with broader organizational goals. Challenges such as data governance,
cybersecurity, and talent requirements are addressed, along with future directions
like digital twins and advanced algorithms. This discussion positions AI and Data
Analytics as indispensable tools for achieving sustainable, data- dr iven project success
in an increasingly complex landscape.
Chapter 5
Challenging the Status Quo: Redefining PMIS for Transformative Project
Management in Global Pharmaceutical Supply Chains ..................................... 161
Antonio Pesqueira, ISCTE, University Institute of Lisbon, Portugal
Noah Barr, DCOPI, Switzerland
The integration and optimization of Project Management Information Systems
(PMIS) represent a transformative opportunity for global pharmaceutical supply
chains, especially in addressing the complex, multi- stakeholder nature of modern
projects. This chapter challenges the status quo by redefining PMIS frameworks to
emphasize agility, data- driven decision- making, and seamless execution. The study
critically examines the traditional limitations of PMIS and explores their evolution
into platforms that not only track progress but also empower strategic foresight,
collaboration, and adaptive responses to dynamic challenges.
Chapter 6
Digital Transformation in Project Management Revolutionizing Practices for
Modern Execution ............................................................................................. 205
Prakhar Mittal, Atricure, USA
This chapter explores the transformative impact of digital technologies on project
management, emphasizing how Project Management Information Systems (PMIS)
are pivotal in adapting to the dynamic needs of contemporary business environments.
It provides insights into the integration of digital tools to enhance decision- making,
optimize workflows, and foster collaboration. The chapter highlights key technologies,
methodologies, and case studies, offering actionable recommendations for leveraging
digital transformation to drive project success across diverse industries.
Chapter 7
Revolutionizing Security Information and Event Management (SIEM)
Systems: Harnessing Deep Learning for Advanced Threat Detection ............... 233
Vijay B. Gadicha, P.R. Pote College of Engineering and Management,
India
Ajay B. Gadicha, P.R. Pote College of Engineering and Management,
India
Mohammad Zuhair, P.R. Pote College of Engineering and Management,
India
Zeeshan I. Khan, P.R. Pote College of Engineering and Management,
India
Mayur S. Burange, P.R. Pote College of Engineering and Management,
India
This chapter explores various deep learning methods for enhancing Security
Information and Event Management (SIEM) systems. As cyber threats become
increasingly sophisticated, traditional SIEM approaches often fall short in efficiently
processing and analyzing vast amounts of security data. We investigate the application
of deep learning techniques, such as convolutional neural networks (CNNs), recurrent
neural networks (RNNs), and autoencoders, to improve threat detection, anomaly
detection, and incident response capabilities. CNNs are leveraged for feature extraction
from complex datasets, enabling the identification of intricate patterns in security
events. RNNs are utilized for sequential data analysis, effectively capturing temporal
dependencies in attack vectors.
Chapter 8
Agile Cost Overhead Prioritization With ML For Effective Software Project
Management ...................................................................................................... 263
Jitesh Rajendra Neve, Suresh Gyan Vihar University, Jaipur, India
Sohit Agarwal, Suresh Gyan Vihar University, Jaipur, India
Now a days, almost all industries who are working on software have a set process
to use Agile as a software development method. Such software companies are
practicing various kinds of agile versions (like- Scrum, XP, Kanban, etc.) When
progressing on achieving organizational goals with Agile, there are quite significant
challenges like planning difficulties, prioritizing the work, estimating costs, overhead
costs, etc. These challenges are faced by management people - Budgeting, costing
analysis and estimating things during different phases of the project execution are
critical factors of project management. Hence, focusing on such factors which are
helpful for the optimization of costs gains more importance. Alternatively, FAHP
which is operated on the principle of ‘Fuzzy Set’ theory. An AHP process happens
to be a competent way to solve some complex decision- making problems. ML can
become a crucial component of this entire ecosystem, if it’s equipped with Fuzzy.
The hybrid model combining fuzzy and ML can support in predicting the cost and
prioritization effectively.
Chapter 9
Talking to AI- Driven Project Management: Practical Strategies for Prompt
Engineering and Ethical Integration .................................................................. 291
Ajay B. Gadicha, P.R. Pote College of Engineering and Management,
India
Vijay B. Gadicha, P.R. Pote College of Engineering and Management,
India
Mohammad Moin Maniyar, P.R. Pote College of Engineering and
Management, India
Mayur S. Burange, P.R. Pote College of Engineering and Management,
India
Zeeshan I Khan, P.R. Pote College of Engineering and Management,
India
The integration of Artificial Intelligence (AI) and Natural Language Processing (NLP)
into project management has transformed how professionals approach planning,
execution, and decision- making. Among these advancements, Large Language
Models (LLMs) such as ChatGPT have emerged as powerful tools, enabling project
managers to streamline workflows, improve collaboration, and derive actionable
insights. This chapter, “Talking to AI: Prompt Engineering for Project Managers,”
focuses on the critical skill of prompt engineering, which involves crafting precise,
context- aware instructions to optimize the value of AI- generated outputs. Effective
prompt engineering bridges the gap between human intent and AI capabilities,
ensuring that responses are relevant, actionable, and aligned with project objectives.
The chapter highlights how poorly structured prompts can lead to generic or irrelevant
outputs, while well- designed quer ies can address key project needs, such as generating
schedules, identifying risks, and automating stakeholder reports
Chapter 10
Automating Library Management for Efficiency: IoT- Enabled Smart Libraries 325
Kathirvel Ayyaswamy, Department of Computer Science and
Engineering, Saveetha Engineering College, Chennai, India
V. M. Gobinath, Rajalakshmi Institute of Technology, Chennai, India
M. S. Senthil, Builders Engineering College, India
Naren Kathirvel, Anand Institute of Higher Technology, India
Libraries will be transformed with IoT- based smar t library systems that will transform
the operation and communication model of libraries with their users. This article
covers the idea of IoT- enabled smart libraries and describes how automation and
connectivity can help in library management and improve workflow. Using recent
trends, technology innovations, and actual library case studies, this paper tries
to give a clear picture of all the benefits and drawbacks of using IoT solutions in
libraries, concluding that IoT can lead to much better user experience, operation,
and data- driven decision- making. Libraries that use IoT devices can create better
experiences for users to access resources more quickly and with more personalization.
Moreover, through the automation of library functions, staff can concentrate on more
strategic projects that result in higher- quality library services. However, the move
to IoT systems is not easy. Libraries have to get a handle on technical details, and
data security, and train staff in how to use these new technologies.
Compilation of References .............................................................................. 351
About the Contributors ................................................................................... 373
Index .................................................................................................................. 379
