Communication between man and machine is vital to completing projects in the current day and age. Without this constant connectiveness as we enter an era of big data, project completion will result in utter failure. Agile Approaches for Successfully Managing and Executing Projects in the Fourth Industrial Revolution addresses changes wrought by Industry 4.0 and its effects on project management as well as adaptations and adjustments that will need to be made within project life cycles and project risk management. Highlighting such topics as agile planning, cloud projects, and organization structure, it is designed for project managers, executive management, students, and academicians.

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. 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.

As Industry 4.0 brings on a new bout of transformation and fundamental changes in various industries, the traditional manufacturing and production methods are falling to the wayside. Industrial processes must embrace modern technology and the most recent trends to keep up with the times. With “smart factories”; the automation of information and data; and the inclusion of IoT, AI technologies, robotics, and cloud computing comes new challenges to tackle. These changes are creating new threats in security, reliability, the regulations around legislation and standardization of technologies, malfunctioning devices or operational disruptions, and more. These effects span a variety of industries and need to be discussed. Research Anthology on Cross-Industry Challenges of Industry 4.0 explores the challenges that have risen as multidisciplinary industries adapt to the Fourth Industrial Revolution. With a shifting change in technology, operations, management, and business models, the impacts of Industry 4.0 and digital transformation will be long-lasting and will forever change the face of manufacturing and production. This book highlights a cross-industry view of these challenges, the impacts they have, potential solutions, and the technological advances that have brought about these new issues. It is ideal for mechanical engineers, electrical engineers, manufacturers, supply chain managers, logistics specialists, investors, managers, policymakers, production scientists, researchers, academicians, and students looking for cross-industry research on the challenges associated with Industry 4.0.

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This engaging Research Handbook presents a fresh look at how to improve project performance for the project sponsor, client and end user using a number of empirical research studies. Focusing on project performance concepts and methods, the Handbook provides a fresh look at successful project completions, achieving project objectives, on-time or ahead of time project completion or delivering within budget.

With new technologies, such as computer vision, internet of things, mobile computing, e-governance and e-commerce, and wide applications of social media, organizations generate a huge volume of data and at a much faster rate than several years ago. Big data in large-/small-scale systems, characterized by high volume, diversity, and velocity, increasingly drives decision making and is changing the landscape of business intelligence. From governments to private organizations, from communities to individuals, all areas are being affected by this shift. There is a high demand for big data analytics that offer insights for computing efficiency, knowledge discovery, problem solving, and event prediction. To handle this demand and this increase in big data, there needs to be research on innovative and optimized machine learning algorithms in both large- and small-scale systems. Applications of Big Data in Large- and Small-Scale Systems includes state-of-the-art research findings on the latest development, up-to-date issues, and challenges in the field of big data and presents the latest innovative and intelligent applications related to big data. This book encompasses big data in various multidisciplinary fields from the medical field to agriculture, business research, and smart cities. While highlighting topics including machine learning, cloud computing, data visualization, and more, this book is a valuable reference tool for computer scientists, data scientists and analysts, engineers, practitioners, stakeholders, researchers, academicians, and students interested in the versatile and innovative use of big data in both large-scale and small-scale systems.

A variety of computing techniques have been developed in recent times in combination with emerging technologies. Such techniques, coupled with an increase in computing power, has given credence to an information based paradigm in many fields (also termed as informatics). Informatics computing has evolved into complex structures of heterogeneous methods involving multiple data processing applications. Research on new technologies also brings new tools to use along with continuous improvements in existing tools. This reference presents contributions that cover emerging computing techniques and their implementation in computer science, informatics and engineering, as well as other important topics that are often discussed in the modern computing environment. Chapters in this book are contributed by researchers, academicians and industry experts and inform readers about current computer technologies and applications. The topics covered in the book include, online privacy, internet gaming disorder, epidemiological modelling (including COVID-19), computer security and malware detection, document sentiment analysis, and project management. This book is an interesting update on new trends in computing techniques and applications for readers interested in the latest developments in computer science.

Business strategy is not an abstract concept; it is a type of work that is designed for complex theoretical conceptualization. While there are numerous sources exploring the theoretical ideas of strategy, very few demonstrate the real value of strategy tools, concepts, and models in practice. Cases on Digital Strategies and Management Issues in Modern Organizations is a pivotal reference source that provides original case studies designed to explore various strategic issues facing contemporary organizations, evaluate the usefulness of strategy tools and models, and examine how successful and failing companies have faced strategic issues with practical ideas and solutions. While highlighting topics such as business ethics, stakeholder analysis, and corporate governance, this publication demonstrates various ways that different models/tools can be applied in different types of companies for various purposes and from diverse perspectives. This book is ideally designed for managers, executives, managing directors, business strategists, industry professionals, students, researchers, and academicians seeking current research on key business framework strategies.

This book gathers the most recent developments in fuzzy & intelligence systems and real complex systems presented at INFUS 2020, held in Istanbul on July 21–23, 2020. The INFUS conferences are a well-established international research forum to advance the foundations and applications of intelligent and fuzzy systems, computational intelligence, and soft computing, highlighting studies on fuzzy & intelligence systems and real complex systems at universities and international research institutions. Covering a range of topics, including the theory and applications of fuzzy set extensions such as intuitionistic fuzzy sets, hesitant fuzzy sets, spherical fuzzy sets, and fuzzy decision-making; machine learning; risk assessment; heuristics; and clustering, the book is a valuable resource for academics, M.Sc. and Ph.D. students, as well as managers and engineers in industry and the service sectors.

The demand for efficiency and intelligent decision-making has become paramount, prompting a crucial examination of the limitations of traditional automation. Organizations find themselves at a crossroads, searching for a transformative solution that transcends conventional approaches. Enter the era of Hyperautomation – an innovative paradigm that goes beyond simple automation by integrating artificial intelligence, robotic process automation, and advanced techniques such as cognitive computing and data mining. Hyperautomation in Business and Society is a comprehensive exploration of how Hyperautomation addresses the complexities of modern challenges, offering a compelling solution to propel businesses and society into a new era of efficiency and intelligent decision-making. This book sets out to achieve a dual purpose: to enlighten and to guide. Starting with a breakdown of intelligent automation, the book progresses to dissect the latest IA technologies, platforms, and the intricate ways in which it optimizes workflows. Spanning diverse applications across sectors such as logistics, marketing, finance, and customer care, it paints a vivid picture of IA's transformative influence. Notably, it addresses the challenges faced by IA implementation, offering a nuanced exploration of real-world applications and their impact on businesses. Geared towards undergraduate and postgraduate students, researchers, and practitioners, this book is a compass for those navigating the ever-changing landscape of intelligent automation.