Practical Approaches to Agile Project Management

Practical Approaches to Agile Project Management

Release Date: May, 2024|Copyright: © 2024 |Pages: 467
DOI: 10.4018/979-8-3693-3318-1
ISBN13: 9798369333181|ISBN13 Softcover: 9798369350317|EISBN13: 9798369333198
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Description & Coverage
Description:

Amidst the relentless pace of the contemporary business landscape, information technology (IT) projects grapple with an escalating challenge — the need to deliver solutions swiftly, adapt to evolving customer demands, and create value within the ever-shifting dynamics of the market. In this demanding environment, the traditional project management paradigms often fall short, necessitating a shift towards methodologies that embody flexibility, customer collaboration, and iterative development. Herein lies the crux of the issue faced by modern IT projects. Practical Approaches to Agile Project Management is a guide in the tumult of IT project complexities. This book provides a comprehensive solution to the complexities of contemporary project management by delving into topics such as alternative pricing models and the alignment of organizational cultures in IT partnerships, making it an indispensable resource for professionals, academics, and students navigating the domains of business, information technology, or project management.

This book takes a pioneering approach, leveraging established models like Maslow's Hierarchy and the Kano Model to provide actionable frameworks for understanding customer needs, predicting satisfaction, and crafting compelling solutions. Bridging the gap between theory and practice, it presents pragmatic methodologies for activities such as user story refinement, feature prioritization, and gathering user feedback. Drawing on real-world case studies, the book distills the collective experiences of renowned academics and seasoned professionals into scientifically backed advice, guiding practitioners through the maze of agile IT projects. This is ultimately a guide that equips readers with the knowledge needed to navigate and succeed in the real-world challenges of agile IT initiatives.

Primarily aimed at IT professionals involved in project management and service delivery, this book caters to a broad spectrum of individuals, including IT Project Managers, Consultants, Entrepreneurs, and Executives at IT Service Firms. Additionally, it extends its value to Business Leaders undertaking IT-enabled transformations and Academic Researchers delving into the intersection of agile methodologies and IT service delivery. From prioritization strategies for IT Project Managers to frameworks for consultants, entrepreneurs, and executives, this book addresses the diverse needs of its readership, offering practical, evidence-based insights to optimize IT service delivery across various organizational contexts.

Coverage:

The many academic areas covered in this publication include, but are not limited to:

  • Applying Maslow’s Hierarchy in IT
  • Communicating IT Project Success
  • Competitive Analysis in IT Projects
  • Crafting Compelling User Stories
  • Customer-Centric Agile Practices
  • Deciphering Customer Value in IT
  • Differentiating External and Internal Customers
  • Future Trends in Agile Project Management
  • Harnessing Feedback for MVPs
  • Identifying Market Problems in Agile Project Management
  • Measuring Success in Agile Project Management
  • Minimum Viable Products (MVPs) in IT Strategy
  • Practical Approaches to Agile Project Management
  • Principles of Effective User Story Creation
Table of Contents
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Editor/Author Biographies
Sanjay Misra , a Sr. member of IEEE and ACM Distinguished Lecturer, is presently a Senior Scientist at the Institute for Energy Technology (IFE), Halden, Norway. Before joining IFE, he was associated with the Computer Science and Communication department of Østfold University College, Halden, Norway, and was a Full Professor (since Jan 2010) of Computer (Software) Engineering at Covenant University (400-500 ranked by THE(2019)) since 2012. He has been amongst the top 2% of scientists in the world (published by Standford University) for the last three consecutive years and also got several awards for outstanding publications (Institute of Engineering and Technology, UK - 2014 IET Software Premium Award (UK)), TUBITAK-Turkish Higher Education, and Atilim University). As per SciVal (SCOPUS- Elsevier) analysis (on 01.12.2022)- He has been the most productive researcher (Number 1) in Nigeria since 2017 (in all disciplines), in computer science no 1 in the country & no 2 in the whole of Africa. His expertise is in the area of Applied Informatics (Software Engineering and its Applications, Cyber Security, Health Informatics, and Intelligent systems) and has been the publishing (- around 150 JCR/SCIE) in top journals like Computers and Security, Information Processing and Management, Engineering Applications of Artificial Intelligence, Expert Systems and Applications, etc. He has delivered more than 100 keynote/invited talks/public lectures at reputed conferences and institutes (traveled to more than 60 countries). He is Editor in Chief of Int J of Human Capital & Inf Technology Professionals(IGI), IT Personnel and Project Management(IGI), and editor in various SCIE journals(Nature: Scientific Report((Impact Factor: 4.996), Elsevier: Alexandria Engineering Journal (Impact Factor: 6.626, Q1 7/92)), edited several special issues and 80 books from Springer(65 LNCSs, 4 LNEEs, 3 LNNSs, 3 CCISs), 10 IEEE proceedings. He delivered more than 100 keynotes, invited talks and public lectures at reputed conferences and institutes (he traveled to more than 60 countries).
Rajendrasinh Jadeja is working as a Dean at the Faculty of Engineering, Marwadi University - Gujarat, India. He completed his B.E. in Electrical Engineering from L. D. College of Engineering (Gujarat University) in 1998, M. Tech. in Electrical Engineering from Nirma University and a Ph.D. from the M S University, Baroda respectively in the year of 2005 and 2010. He has been awarded the title “ING.PAED.IGIP” in 2020.He is a Senior Member of IEEE. He has worked as a Treasurer of IEEE Region-10 during the year 2021. He is currently working as a Chair, Membership Development Committee of IEEE Region-10. He has worked as a Treasurer of IEEE India Council and worked as a Chair of IEEE Gujarat Section during the Year 2017. The areas of Research and Interest include control of power electronic converters, AC drives, Pulse Width Modulated power electronic converters and Power Quality Issues and its mitigation techniques. Various projects have been undertaken and have completed a project funded by GUJCOST (Gujarat Council on Science & Technology) and he is working on a project making “Deep Learning and AI skills” mainstream in India to fulfil trilateral needs of entrepreneurship, Industry-academia partnership and application-inspired Engineering Research. He actively participates and initiates ERASMUS+ for staff mobility and has also completed such a program for teaching between partner countries. A recipient of young Professional Award for travel grant to attend IEEE Section Congress held on 22- 24 August 2014, Amsterdam, Netherlands. He has been working as a member of Board of Studies of Electrical Engineering of the Gujarat state’s largest public Technical University Gujarat Technological University and also a BoS member at PDPU, Gandhinagar.

Mohit Mittal is a Data Scientist at Shiratech Knowtion GmbH in Germany, with previous experience as a post-doctoral researcher at INRIA in Lille, France, starting from October 2020. Prior to that, he completed a post-doctorate at Kyoto Sangyo University in Japan, where he spent one and a half years before completing his doctorate degree at Gurukul Kangri University in India in 2018. Mohit received his Bachelor's and Master's degrees in Computer Science and Engineering from Guru Nanak Dev University in Amritsar in 2010 and 2011, respectively. He has authored numerous papers published in prestigious journals and top-tier conferences, focusing on research areas such as Wireless Sensor Networks (WSN), Natural Language Processing (NLP), Data Mining, Explainable AI, Machine Learning, and Deep Learning.

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