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Author: Eduardo Rodriguez Publisher: World Scientific ISBN: 981127861X Category : Business & Economics Languages : en Pages : 495
Book Description
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.
Author: Eduardo Rodriguez Publisher: World Scientific ISBN: 981127861X Category : Business & Economics Languages : en Pages : 495
Book Description
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.
Author: El Bachir Boukherouaa Publisher: International Monetary Fund ISBN: 1589063953 Category : Business & Economics Languages : en Pages : 35
Book Description
This paper discusses the impact of the rapid adoption of artificial intelligence (AI) and machine learning (ML) in the financial sector. It highlights the benefits these technologies bring in terms of financial deepening and efficiency, while raising concerns about its potential in widening the digital divide between advanced and developing economies. The paper advances the discussion on the impact of this technology by distilling and categorizing the unique risks that it could pose to the integrity and stability of the financial system, policy challenges, and potential regulatory approaches. The evolving nature of this technology and its application in finance means that the full extent of its strengths and weaknesses is yet to be fully understood. Given the risk of unexpected pitfalls, countries will need to strengthen prudential oversight.
Author: Kiran Sood Publisher: Emerald Group Publishing ISBN: 1837970084 Category : Business & Economics Languages : en Pages : 256
Book Description
Contemporary Studies in Economic and Financial Analysis publishes a series of current and relevant themed volumes within the fields of economics and finance.
Author: Dietmar P.F. Möller Publisher: Springer Nature ISBN: 3030605701 Category : Computers Languages : en Pages : 126
Book Description
This book brings together the essential methodologies required to understand the advancement of digital technologies into digital transformation, as well as to protect them against cyber threat vulnerabilities (in this context cybersecurity attack ontology is included, modeling different types of adversary knowledge). It covers such essential methodologies as CIA Triad, Security Risk, Likelihood, and Consequence Level, Threat Attack Profiling, Threat Intelligence, Threat Lifecycle and more. The idea behind digital transformation is to use digital technologies not only to replicate an existing process in a digital form, but to use digital technology to transform that process into something intelligent (where anything is connected with everything at any time and accessible and controlled and designed advanced). Against this background, cyber threat attacks become reality, using advanced digital technologies with their extreme interconnected capability which call for sophisticated cybersecurity protecting digital technologies of digital transformation. Scientists, advanced-level students and researchers working in computer science, electrical engineering and applied mathematics will find this book useful as a reference guide. Professionals working in the field of big data analytics or digital/intelligent manufacturing will also find this book to be a valuable tool.
Author: Robert Mckellar Publisher: Taylor & Francis ISBN: 1000885380 Category : Business & Economics Languages : en Pages : 648
Book Description
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.
Author: Marijn Janssen Publisher: Springer Nature ISBN: 3031500407 Category : Computers Languages : en Pages : 439
Book Description
This book constitutes the refereed proceedings of the 22nd IFIP WG 6.11 Conference on e-Business, e-Services and e-Society, I3E 2023, held in Curitiba, Brazil, during November 9–11, 2023. The 29 full papers and 2 short papers presented in this volume were carefully reviewed and selected from 68 submissions. The contributions were organized in topical sections as follows: Artificial Intelligence and Algorithm; Digital Transformation and New Technologies; and Sustainable Technologies and Smart Cities.
Author: G Reza Djavanshir Publisher: World Scientific ISBN: 9811271992 Category : Technology & Engineering Languages : en Pages : 338
Book Description
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.
Author: David Apgar Publisher: Harvard Business Press ISBN: 9781422131015 Category : Business & Economics Languages : en Pages : 230
Book Description
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.
Author: Elias G. Carayannis Publisher: Edward Elgar Publishing ISBN: 183910936X Category : Business & Economics Languages : en Pages : 449
Book Description
This book examines when, where, how, and why artificial intelligence and digital transformation can boost innovation and transform the economy, society and democracy. It is developed based on the Cyber-D4 nexus, which is a conceptual framework of Cyber-Defense, Cyber-Development, Cyber-Democracy, and Cyber-Diplomacy. This nexus ties new national and industrial cyber strategies, including business strategies for smart cities and the Internet of Things, with the local, national, regional, and global security and economic objectives.
Author: Richard O. Moore, III Publisher: John Wiley & Sons ISBN: 1119676916 Category : Business & Economics Languages : en Pages : 192
Book Description
Turn cyber intelligence into meaningful business decisions and reduce losses from cyber events Cyber Intelligence-Driven Risk provides a solution to one of the most pressing issues that executives and risk managers face: How can we weave information security into our business decisions to minimize overall business risk? In today's complex digital landscape, business decisions and cyber event responses have implications for information security that high-level actors may be unable to foresee. What we need is a cybersecurity command center capable of delivering, not just data, but concise, meaningful interpretations that allow us to make informed decisions. Building, buying, or outsourcing a CI-DRTM program is the answer. In his work with executives at leading financial organizations and with the U.S. military, author Richard O. Moore III has tested and proven this next-level approach to Intelligence and Risk. This book is a guide to: Building, buying, or outsourcing a cyber intelligence–driven risk program Understanding the functional capabilities needed to sustain the program Using cyber intelligence to support Enterprise Risk Management Reducing loss from cyber events by building new organizational capacities Supporting mergers and acquisitions with predictive analytics Each function of a well-designed cyber intelligence-driven risk program can support informed business decisions in the era of increased complexity and emergent cyber threats.
Author: Eduardo Rodriguez
Author: Eduardo Rodriguez
Author: El Bachir Boukherouaa
Author: Kiran Sood
Author: Dietmar P.F. Möller
Author: Robert Mckellar
Author: Marijn Janssen
Author: G Reza Djavanshir
Author: David Apgar
Author: Elias G. Carayannis
Author: Richard O. Moore, III