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.

"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"--

Contemporary Studies in Economic and Financial Analysis publishes a series of current and relevant themed volumes within the fields of economics and finance.

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.

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.

Digital transformation and risk taking are again at the forefront for practitioners and academics as the digital economy increasingly plays a significant role in global economic recovery. Building on the dynamic capability theory, we conduct an empirical analysis and investigate the relationship between digital transformation and strategic risk taking using data from China's A-share listed companies. The results show that digital transformation increases strategic risk taking, with dynamic capability serving as a partial mediator. Additionally, the positive effect of digital transformation on strategic risk taking is weaker in SOEs (State-owned enterprises) than non-SOEs. These findings add to our understanding of both digital transformation and strategic risk taking, and they also offer novel insights on how digital transformation affects corporate strategic management.

Macro-level dynamics and modelling are well represented in the mainstream political risk literature. However, not many writings on the subject get their hands dirty in terms of revealing the hard, nuanced and practical work behind knowing what the issues might be for a specific foreign operation in a sensitive or volatile context, and how to plan for them. Political Risk Intelligence for Business Operations in Complex Environments provides international managers, and by extension their organisations, with a foundational understanding of political risk analysis and planning for on-the-ground operations in challenging times and places. This means having a fluid grasp of what political risk means and why it matters in the organisation’s context, and how relevant intelligence can be gathered and analysed to inform decisions and planning towards an operation’s socio-political resilience. The book explains: How and why political risk manifests and the forms it can take Company attitudes and operational attributes as a political risk variable Understanding the operational implications of socio-political dynamics and trends Stakeholder identification and analysis for informed engagement planning Scenario analysis to prepare for long-term contingencies and discontinuities Holistic, intelligence-driven political risk management planning Tactical intelligence exercises to maintain awareness and inform adaptation Intelligence management, collection and quality control Ethical considerations in political risk management Rather than being bound by conventional notions of risk, the book emphasises the dynamic relationship between a foreign operation and its host environment and milieu as a source of both challenges and opportunities to manage them. Concepts, frameworks and practices are rounded out with real-world examples and relevant lessons from the author’s experience as a political risk consultant.

Too many executives think risk management is strictly for technical specialists. In Risk Intelligence: Learning to Manage What We Don’t Know, David Apgar challenges this misconception. The author explains how to raise the quality of your risk analysis—-thus enhancing your “risk IQ”—-by applying four simple rules: 1) Recognize which risks are learnable—and reduce their uncertainty by discovering more about them. 2) Identify risks you can learn about the fastest. The higher your learning speed, the more a project is worth pursuing. 3) Take on risky projects one at a time—learning about the risks underlying each before moving to the next. 4) Build networks of business partners, suppliers, and customers who can collectively manage new ventures’ risks by playing distinct roles. The book provides two tools for improving your risk IQ—the Risk Intelligence Audit and the Risk Scorecard—and concludes with a 10-step action plan for systematically raising your managerial and organizational risk IQ. Your reward? Smarter business decisions over time.

In an era where digital security transcends mere convenience to become a pivotal aspect of our daily lives, Spies in the Bits and Bytes: The Art of Cyber Threat Intelligence by Dr. Atif and Dr. Baber emerges as a critical beacon of knowledge and understanding. This book delves into the shadowy world of cyber threats, unraveling the complex web of digital espionage, cybercrime, and the innovative defenses that stand between safety and digital chaos. Dr. Atif, leveraging his profound expertise in artificial intelligence and cybersecurity, offers not just an exploration but a comprehensive guide to navigating the tumultuous digital landscape. What sets this book apart is its unique blend of technical depth, real-world examples, and accessible writing, making the intricate world of cyber threats understandable and engaging for a broad audience. Key features of Spies in the Bits and Bytes include: In-depth Analysis of Cyber Threats: Unveiling the latest and most sophisticated cyber threats facing our world today. Cutting-Edge Defense Strategies: Exploring the use of artificial intelligence (AI) and machine learning in crafting dynamic cyber defenses. Real-World Case Studies: Providing engaging examples that illustrate the impact of cyber threats and the importance of robust cybersecurity measures. Accessible Insights: Demystifying complex cybersecurity concepts for readers of all backgrounds. Forward-Looking Perspectives: Offering insights into the future of cyber threats and the evolving landscape of cyber defense. This book is an essential resource for anyone keen on understanding the intricacies of cybersecurity and the critical role it plays in our interconnected society. From cybersecurity professionals, IT students, and corporate leaders to policy makers and general readers with an interest in the digital world, Spies in the Bits and Bytes serves as a comprehensive guide to the challenges and solutions in the realm of cyber threat intelligence, preparing its audience for the ongoing battle against digital adversaries.

In today’s digital transformation environments, a rigorous cybersecurity approach to effective risk management — including contingency planning, outlining immediate actions, preparing post-breach responses — is central to defending organizations’ interconnected computer systems, networks, and infrastructure resources from malicious cyber-attacks. Specifically, cybersecurity technologies, processes, and practices need to be generalized and applied to intrusion detection and prevention measures. This entails analyzing profiles of cyber-attackers and building cyber-attack models for behavior simulation that can effectively counter such attacks. This comprehensive volume aims to cover all essential aspects of cybersecurity in digital transformation and to provide a framework for considering the many objectives and requirements involved. In addition to introducing theoretical foundations, the work also offers practical techniques for defending against malicious cybercriminals. Topics and features: Explores cybersecurity’s impact on the dynamics of interconnected, complex cyber- and physical systems, infrastructure resources, and networks Provides numerous examples of applications and best practices Considers methods that organizations can use to assess their cybersecurity awareness and/or strategy Describes anomaly intrusion detection, a key tool in thwarting both malware and theft (whether by insiders or external parties) of corporate data Addresses cyber-attacker profiles, cyber-attack models and simulation, cybersecurity ontology, access-control mechanisms, and policies for handling ransomware attacks Discusses the NIST Cybersecurity Framework, MITRE Adversarial Tactics, Techniques and Common Knowledge, CIS Critical Security Controls, and the ISA/IEC 62442 Cybersecurity Standard Gathering all the relevant information, this practical guide is eminently suitable as a self-study resource for engineers, scientists, computer scientists, and chief information officers. Further, with its many examples of best practices, it can serve as an excellent text for graduate-level courses and research into cybersecurity. Dietmar P. F. Möller, a retired full professor, is affiliated with the Institute for Mathematics at Clausthal University of Technology, Germany. He was an author of several other Springer titles, including Guide to Automotive Connectivity and Cybersecurity.