Digital Transformation: Accelerating Organizational Intelligence - Böcker

With the COVID-19 pandemic, we have seen universities worldwide having to "pivot" quickly to transform their education delivery to an online environment, as well as having to conduct their business operations virtually/remotely. For those universities who embraced digital transformation, they were able to adapt quickly to this new learning environment. Many others were not as successful. Part of the formula for success is for universities and other higher education institutions apply digital transformation technologies, processes, and leadership in this "new normal". This book will highlight what is needed in terms of digital transformation for the universities of the future in terms of technologies, processes, culture, and leadership considerations.The book will be part of the new World Scientific book series, Digital Transformation: Accelerating Organizational Intelligence.Related Link(s)

The buzz and hype created over the last few years around Digital Transformation has resulted in confusion and ubiquity that has rendered the term nearly meaningless. Transformation extends far beyond the technology stack and must include the organization's culture, its operating processes, and virtually every facet of how it functions.This fact means that leaders must break through the hype and demystify this term once and for all. They must get past the breathless hyperbole and understand what it really means to lead their organization through a continuous digital transformation process.The demystification of digital transformation and understanding what it really means is critical for all leaders. And that's what this book is about.Related Links

Humans stand on the brink of a technological revolution that will fundamentally change the way we live, work, and relate to one another. As digital transformation leaders, we have opportunities to shape that digital future to create both financial value and human value — balancing doing well and doing good. We must lead differently — but how? In this book, the authors introduce a new leadership model that surfaces the critical challenges digital transformation leaders encounter and the human-centered leadership capabilities that can be used to overcome them.Using case studies, business paradigms, and new capability models, this book explores the unique responsibilities of digital transformation leadership within five leadership levels:Digital transformation leaders wrestling with the human issues behind conceiving, developing, and implementing innovation and technology will find a wealth of practical advice, provocative questions, and new thinking about how we lead. How shall we create an equitable digital future for all humans?

The primary idea behind this book is to provide a platform for the sharing of contributions from the doctoral students of the Entrepreneurship and International Business group at the Department of Business Administration of Tallinn University of Technology (Estonia). The talented group, consisting of students from countries such as Egypt, Estonia, Germany, Ghana, Italy, Kazakhstan and Russia, are studying across various topics relating to Digital Transformation for Entrepreneurship and its related subjects. This thus creates a ripe opportunity for the sharing of perspectives from different theoretical and methodological applications.The book's chapters study decision-makers of small entrepreneurial firms, both start-ups and mature, as the primary target group, digging deep into their insights on recent and fresh research findings produced by the doctoral students as part of their studies.Therefore, the book fulfills two main objectives: 1) entrepreneurial firms will get concrete ideas and recommendations as to how to address and/or improve their entrepreneurial activities/approaches to entrepreneurship triggered by digital transformation, and 2) the doctoral students will get a unique opportunity to expand their scientific writing skills while at the same time having an opportunity to present their findings in a way that is considered relevant and impactful by practitioners.The scientific quality of each chapter has been ensured by the participation of two experienced scholars and supervisors — one of whom is the head of the Entrepreneurship and International Business group, and an active researcher on the book's topic — who have closely monitored the development process of the book.

In today's highly competitive business environments, with the rise of digital businesses and digital economy, digital strategies and organizational changes go hand in hand. Organizations that possess a robust digital strategy benefit greatly from the advancements of emerging digital technologies, and hence, making necessary organizational changes in order to maximise the benefits have become vital for their survival. According to MIT Sloan's Center for Information Systems Research (CISR), "[i]n this period of digital disruption, businesses focused narrowly on value chains are at a disadvantage". Next-generation enterprises need to think more broadly about their business ecosystems, leverage digitization to understand their customers better, and establish options for future success. Therefore, competitive businesses have started using a variety of digital tools including artificial intelligence, alongside other digital applications, making the required changes to their organizational models and cultures to better serve their customers efficiently and effectively.This book contains a collection of chapters describing these digital strategies and how they go hand in hand with organizational changes. We solicited contributions from well-known academics from universities, business leaders, and experts within businesses and government organizations for this book. The majority of the chapters examines the necessary relationships between these two critical issues. Specifically, this book discusses how to infuse new knowledge into ongoing discourse and debates within academia and business organizations regarding digital strategies and organizational changes, and how to accomplish seamless integration of digital tools and applications into organizational platforms in order to accomplish the required organizational changes smoothly.In summary, this book discusses the integration and implementation of digital technology and the required organizational changes to take advantage of the phenomenon of digitization. In order to create competitive advantage, leadership organizations must address the challenges of formulating and implementing robust digital strategies and simultaneously, start making the required organizational changes, as this book concludes.

In this book, the study of strategic risk is not only for its control and mitigation using analytics and digital transformation in organizations, but also it is about the strategic risks that digital transformation can bring to organizations. Strategic risk control is one of the goals in creating intelligent organizations and at the same time it is part of the appetite for creating smarter organizations to support organizations' development. Knowledge that is created by data analytics and the capacity to operationalize that knowledge through digital transformation can produce potential sustainable competitive advantages.The core of the volume is connecting data analytics and artificial intelligence, risk management and digitalization to create strategic intelligence as the capacity of adaptation that organizations need to compete and to succeed. Strategic intelligence is a symbiotic work of artificial intelligence, business intelligence and competitive intelligence. Strategic risk is represented by the probability of having variations in the performance results of the organizations that can limit their capacity to maintain sustainable competitive advantages. There is an emphasis in the book about the conversion of models that support data analytics into actions to mitigate strategic risk based on digital transformation.This book reviews the steps that organizations have taken in using technology that connects the data analytics modeling process and digital operations, such as the shift from the use of statistical learning and machine learning for data analytics to the improvement and use of new technologies. The digitalization process is a potential opportunity for organizations however the results are not necessarily good for everyone. Hence, organizations implement strategic risk control in cloud computing, blockchain, artificial intelligence and create digital networks that are connected internally and externally to deal with internal and external customers, with suppliers and buyers, and with competitors and substitutes. The new risks appear once new knowledge emerges and is in use, but at the same time the new knowledge supports the initiatives to deal with risks arising from novel ways of competing and collaborating.

We have witnessed the growing worldwide trends in moving from digitization to digitalization to digital transformation. In order to survive in today's environment, organizations must embrace digital transformation. In fact, digital transformation transcends all elements of society, whether agriculture, home, business, transportation, and the like. This book focuses on digital transformation and its impact upon society.

Due to the rapid emergence of the development and use of Analytics and AI in organizations, this book focuses on these aspects related to digital transformation. We are in the midst of the GenAI craze, with prompt engineering, large language models, and AI ethics playing key roles. According to estimates, about 329 million terabytes of data are created each day [https://explodingtopics.com/blog/data-generated-per-day] or approximately 120 zettabytes per year. With this overabundance of data, in all types of forms, the use of Analytics and AI are essential techniques to help organizations make sense of their digital transformation efforts. In this book volume, we are fortunate to have the contributions of leading individuals worldwide in various sectors, such as organization AI implementation, business management innovation and data gathering using artificial intelligence.

Digital Transformation in Healthcare offers valuable insights into how technology is reshaping the industry. From AI and simulation to wearable devices, these advancements improve patient care, streamline operations, and reduce costs. For healthcare professionals, understanding these innovations is key to staying competitive and driving better outcomes.This book explores real-world examples, showcasing how digital tools enable personalized medicine, predictive analytics, and patient engagement. The book also touches on the challenges like data privacy, security, and ethical concerns, providing practical strategies to navigate them responsibly.Moreover, this book hopefully inspires innovation by highlighting success stories and best practices from forward-thinking leaders, practitioners, and educators. Whether you're a clinician, administrator, or tech enthusiast, this book should equip you to adapt to a rapidly evolving healthcare landscape, empowering you to contribute to meaningful, tech-driven change in the sector.

Digital Transformation in Academic Libraries for Research and Learning explores the critical role academic libraries play in shaping digital environments within higher education. Through global perspectives and practical case studies, this volume highlights how libraries continually redefine their roles, embrace emerging technologies, and adapt their services to remain responsive to evolving needs. Central to the discussion is how libraries navigate significant shifts in organizational culture, pedagogical practices, and user engagement, demonstrating their agility in meeting evolving expectations within dynamic digital contexts.The chapters are organized around four central themes: Frontiers of Digital Transformation, Collaboration and Cultural Change, Technology-Driven Services, and Practical Case Studies in Digital Transformation. Collectively, these chapters illustrate the adaptability and resilience of academic libraries. Topics include artificial intelligence integration, ethical considerations of digital access management, collaborative open educational resource initiatives, machine learning in collection management, virtual reference service innovations, and user-centered co-creation of digital learning experiences.

This book offers a comprehensive, up-to-date guide for business leaders and professionals looking to leverage AI effectively in their organizations. It addresses the growing demand for practical knowledge on AI implementation in business contexts, filling a gap between purely technical AI literature and general business strategy books.