Download Free Leading And Managing Change In The Age Of Disruption And Artificial Intelligence Book in PDF and EPUB Free Download. You can read online Leading And Managing Change In The Age Of Disruption And Artificial Intelligence and write the review.

This book explores disruption and artificial intelligence in an organisational context to inform and prepare those that are in management positions now and into the future.
This book explores disruption and artificial intelligence in an organisational context to inform and prepare those that are in management positions now and into the future.
Conclusively, resilience, education, financial inclusion, digital transformation, strategic partnerships, and particularly change management are needed when crises occur in order to save and advance organizational ecosystems and economies. Therefore, it is crucial to know about the ideation and processes of change management to improve companies’ negative circumstances. Change Management During Unprecedented Times examines organizational change management through the lenses of research and innovative practices contained within the fields of leadership and organizational change. The book enlightens communities through the efforts of a research perspective that amplifies practice-based potential in applying theory, models, and frameworks to real-time issues. Covering topics such as technology, ethics, entrepreneurship, and communication, this reference work is ideal for business owners, managers, researchers, scholars, academicians, practitioners, instructors, and students.
"a provocative new book" — The New York Times AI-centric organizations exhibit a new operating architecture, redefining how they create, capture, share, and deliver value. Now with a new preface that explores how the coronavirus crisis compelled organizations such as Massachusetts General Hospital, Verizon, and IKEA to transform themselves with remarkable speed, Marco Iansiti and Karim R. Lakhani show how reinventing the firm around data, analytics, and AI removes traditional constraints on scale, scope, and learning that have restricted business growth for hundreds of years. From Airbnb to Ant Financial, Microsoft to Amazon, research shows how AI-driven processes are vastly more scalable than traditional processes, allow massive scope increase, enabling companies to straddle industry boundaries, and create powerful opportunities for learning—to drive ever more accurate, complex, and sophisticated predictions. When traditional operating constraints are removed, strategy becomes a whole new game, one whose rules and likely outcomes this book will make clear. Iansiti and Lakhani: Present a framework for rethinking business and operating models Explain how "collisions" between AI-driven/digital and traditional/analog firms are reshaping competition, altering the structure of our economy, and forcing traditional companies to rearchitect their operating models Explain the opportunities and risks created by digital firms Describe the new challenges and responsibilities for the leaders of both digital and traditional firms Packed with examples—including many from the most powerful and innovative global, AI-driven competitors—and based on research in hundreds of firms across many sectors, this is your essential guide for rethinking how your firm competes and operates in the era of AI.
This volume thoroughly explores the perceptions and ethical considerations surrounding urban artificial intelligence (AI). Tan Yigitcanlar delves into the complex public and professional views on AI, offering invaluable insights for policymakers, urban planners, and developers. As the world rapidly advances technologically, the role of AI has become increasingly significant. AI’s transformative power spans various sectors, revolutionising how we operate and innovate in fields such as healthcare, finance, agriculture, and space exploration. Despite its wide‐reaching impact, the integration of AI into urban planning and development remains relatively underexplored. This is surprising given AI’s immense potential to revolutionise urban design, management, and experience. Comprising eight comprehensive and insightful chapters, this book examines AI’s role in urban contexts, including its applications, public perceptions, and ethical implications. The first part of the guidebook delves into varied perceptions of AI within different urban sectors, presenting detailed perception analyses on AI’s role in urban planning, local government services, disaster management, and the construction industry. The second part shifts focus to the ethical implications and responsible implementation of AI in urban settings. It provides frameworks and strategies to ensure AI technologies contribute positively to urban development while mitigating potential risks and ethical concerns. This volume, alongside its companion Urban Artificial Intelligence: A Guidebook for Understanding Concepts and Technologies, offers a holistic view of Urban Artificial Intelligence. Together, these books provide essential insights for urban planners, policymakers, researchers, and anyone interested in AI and urban development, guiding responsible AI integration to foster smarter, more sustainable, and equitable urban environments.
The use of data science and urban analytics has become a defining feature of smart cities. This timely book is a clear guide to the use of social media data for urban analytics. The book presents the foundations of urban analytics with social media data, along with real-world applications and insights on the platforms we use today. It looks at social media analytics platforms, cyberphysical data analytics platforms, crowd detection platforms, City-as-a-Platform, and city-as-a-sensor for platform urbanism. The book provides examples to illustrate how we apply and analyse social media data to determine disaster severity, assist authorities with pandemic policy, and capture public perception of smart cities. This will be a useful reference for those involved with and researching social, data, and urban analytics and informatics.
The smart city movement, during the last decade and a half, advocated the built environment and digital technology convergence with the backing of institutional capital and government support. The commitment of a significant number of local governments across the globe, in terms of official smart city policies and initiatives, along with the constant push of global technology giants, has reinforced the popularity of this movement. This two-volume treatment on smart cities thoroughly explores and sheds light on the prominent elements of the smart city phenomenon and generates a smart city blueprint. This first volume, with its 12 chapters, provides a sound understanding on the key foundations and growth directions of smart city frameworks, technologies, and platforms, with theoretical expansions, practical implications, and real-world case study lessons. The second companion volume offers sophisticated perspectives on the key foundations and directions of smart city policies, communities, and urban futures, with theoretical expansions, practical implications, and real-world case study lessons. This book is an invaluable reference source for urban policymakers, managers, planners, practitioners, and many others, particularly to benefit from it when tackling key urban and societal issues and planning for and delivering smart city solutions. Moreover, the book is also a rich and important repository for scholars and research and undergraduate students as it communicates the complex smart city phenomenon in an easy to digest form, by providing both the big picture view and specifics of each component of that view. It also appeals to local government agencies and smart city practitioners.
The book presents a unique study on the Artificial Intelligence (AI) readiness of public administrations focusing on the Maltese public administration as a case study. This was conducted following the launch of the Malta AI National Strategy in 2019. Since the Maltese public administration is the driving force behind the integration of AI solutions nationwide, the research is deemed necessary to understand whether the public workforce itself is ready to face the oncoming AI revolution. The researchers applied a mixed-methods approach to gain insight and a broader perspective of the status quo concerning AI adoption. Important considerations that stem from this study include the need for increased AI knowledge among public administrators since the majority of respondents reported a lack of awareness of AI technologies and their deployment. Understanding AI-related advantages must be accompanied by a robust instructional effort at all levels of education. It was unanimously agreed that the early inclusion of AI-related courses in the Maltese educational system will aid in developing a future AI-savvy workforce. Furthermore, upskilling and reskilling the public officers will facilitate knowledgeable human capital and proficiencies required to effectively integrate AI solutions within society. The study concludes by recommending several critical reforms within governments that will improve the AI-readiness factor of any Public Administration.
A level of decision making is concerned with deciding the organization’s objectives, resources, and policies. A significant problem at this decision-making level is predicting the organization’s future and its environment as well as matching the organization’s characteristics to that environment. This process generally involves technology and knowledge from the market and clients. In the current era, the implementation of marketing information systems supported with AI techniques is crucial to being a unique opportunity to leverage marketing strategies with cutting-edge technologies. Global Perspectives on the Strategic Role of Marketing Information Systems communicates the recent advances in marketing information systems. Covering topics such as digital entrepreneurship, international business, and micro and small enterprises, this premier reference source is a cutting-edge resource for marketers, entrepreneurs, business leaders and managers, IT managers, students and educators of higher education, librarians, researchers, and academicians.
Artificial Intelligence (AI) is reality. The Fourth Industrial Revolution, or a Robot Apocalypse depending on whom you ask, is already underway. The transition has already started. But what it means in terms of leadership? How to prepare for the dramatic shifts in the global workforce? In The Future of Leadership in the Age of AI Marin Ivezic and Luka Ivezic, emerging technology risk researchers and practitioners, demystify the processes behind this revolution. Rather than offering another sensationalistic, panic-inducing view on AI – or its overly-optimistic alternative – authors explain the reality of AI implementation in business environments. The age of AI brings new paradigms in economy, business, and workforce. In addition to the workers with obviously obsolete skills, the change will also affect executives and managers. But you can still thrive if you develop your distinctly human skills. While AI and machines are undoubtedly superior in the tasks that involve data, rules, and processes, they lack the ability to go beyond a specific set of purposes. Humans are still unbeatable when it comes to creativity, vision, and collaboration. Rather than managing operations and processes, the leaders of tomorrow will need to focus on their interpersonal skills. The transformed economy will need some new sorts of executives – motivators, innovators and social experimenters - those that have, paradoxically, developed their distinctly human skills.. Machines will run the processes. You’ll need to take care of agility and motivations of the employees. The Future of Leadership in the Age of AI clarifies those new roles and makes the transition easier. Prepare for new challenges. Get ready and find your place in the age of AI.