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A year of HBR's essential thinking on tech—all in one place.Generative AI, biometrics, spatial computing, electric vehicles—new technologies like these are reshaping organizations at the hybrid office, on factory floors, and in the C-suite. What should you and your company be doing now to take advantage of the new opportunities these technologies are creating—and avoid falling victim to disruption?The Year in Tech 2025: The Insights You Need from Harvard Business Review will help you understand what the latest and most important tech innovations mean for your organization and how you can use them to compete and win in today's turbulent business environment.Business is changing. Will you adapt or be left behind?Get up to speed and deepen your understanding of the topics that are shaping your company's future with the Insights You Need from Harvard Business Review series. Featuring HBR's smartest thinking on fast-moving issues—blockchain, cybersecurity, AI, and more—each book provides the foundational introduction and practical case studies your organization needs to compete today and collects the best research, interviews, and analysis to get it ready for tomorrow.You can't afford to ignore how these issues will transform the landscape of business and society. The Insights You Need series will help you grasp these critical ideas—and prepare you and your company for the future.

This comprehensive book explores the transformative role of artificial intelligence (AI) in business innovation and research. It provides a solid foundation in AI technologies, such as machine learning, natural language processing, and computer vision, and examines how they reshape business models and revolutionize industries. The book highlights the strategic implications of AI in enhancing customer experience, optimizing operations, and enabling data-driven decision-making. It explores the integration of AI with emerging trends like IoT, blockchain, and cloud computing for innovation. The role of AI in advancing scientific discovery and academic research is also explored, addressing challenges and opportunities in AI-driven methodologies. Organizational and ethical dimensions of AI implementation are considered, including talent acquisition, skills development, and data governance. Real-world case studies showcase AI's transformative power across diverse industries. This forward-thinking guide equips academics, researchers, and business leaders with knowledge and insights to harness the potential of AI and contribute to innovation and research.

Our book called “Innovations and Contemporary Trends in Business & Economics”consists of 24 chapters. 62 authors have contributed to our book. This book containstrends and innovations in the field of economy and business. The target audience ofthis book is researchers, students and academics interested in business and economics.We think that it is a book in which you can find various topics and read with pleasure.

In today's rapidly evolving business landscape, organizations are inundated with vast amounts of data, making it increasingly challenging to extract meaningful insights and make informed decisions. The traditional business intelligence (BI) approach must often address the complexity and speed required for effective decision-making in this data-rich environment. As a result, many businesses need help to leverage their data to drive sustainable growth and remain competitive. Intersection of AI and Business Intelligence in Data-Driven Decision-Making presents a transformative solution to this pressing challenge. By exploring the convergence of artificial intelligence (AI) and BI, our book provides a comprehensive framework for leveraging AI-powered BI to revolutionize data analysis, predictive modeling, and decision-making processes. Readers will gain valuable insights into practical applications, emerging trends, and ethical considerations, inspiring and exciting them about the potential of AI in driving business success. Through in-depth discussions, case studies, and best practices, this book equips professionals, researchers, and students with the knowledge and tools needed to navigate the complexities of AI-powered business intelligence. Whether you're looking to predict trends, analyze consumer behavior, or optimize supply chains, this book offers actionable strategies and techniques for implementing AI-powered BI solutions in your organization.

“Unbundling the Enterprise…blew me away. It is a combination of some of my favorite books: Dr. Carliss Baldwin's Design Rules and Eric Evans's Domain Driven Design with the strategic insights akin to Good to Great and Reengineering the Corporation.”—Gene Kim, researcher and bestselling author of The Phoenix Project and Wiring the Winning Organization Unbundling the Enterprise provides a blueprint for organizations to remain relevant and maximize growth in the digital economy by embracing the flexibility and optionality enabled by APIs. Drawing on real-world examples of both innovative “digital pirates” and legacy “digital settlers,” authors Stephen Fishman and Matt McLarty articulate strategies to unbundle business capabilities into reusable digital assets. These building blocks can then be rapidly combined and recombined to capitalize on new opportunities and innovations as they emerge. For business and technology leaders, Unbundling the Enterprise provides an actionable methodology to engineer “happy accidents” and sustainable success in turbulent times. Underpinning their strategy are techniques tailored for digital business, like using APIs to create widespread optionality, designing digital business models focused on value exchange, and optimizing outcomes through tight feedback loops. More than copying the superficial traits of digital pioneers, this book reveals the deeper mindset shift required to continually capitalize on unanticipated opportunities enabled by rapid technology innovation.

This book is a collection of studies that explores the adoption, applications, and implications of emerging technologies in business. Given that emerging technologies have the potential to significantly disrupt and transform existing business models, the premise is to demonstrate how theories are translated into practice. Readers will gain insights into operating processes and business models, the diffusion of innovation in business and industry, and how humans interact with emerging technologies.

Awareness of the essential skills required for thriving in the job market is necessary for educators and employers. Shedding light on the role of industry in promoting work-based learning, Technological Innovations for Business and Education Sustainability considers how technology has both transformed the business landscape, and how it might continue to do so in future. Harnessing the potential of innovative Industry 4.0 technologies such as the Internet of Things (IoT) and Artificial Intelligence (AI) for sustainable business models, contributors rethink core skills required to meet the changing needs of the work environments in terms of modes of education and workplace ethics, as well as the implications of these constantly evolving technologies for employers and workplaces. Chapters analyse in detail how rapidly advancing technologies have already affected recruitment, retail, banking, the oil and gas industry, insurance, financial services, advertising, childhood obesity, human resources and organizational management, small- and medium-sized enterprises (SMEs), cloud computing and more. Fulfilling a growing need for aligning business strategy and educational curriculums with the evolving skills required for business workplaces, Technological Innovations for Business and Education Sustainability presents a thorough understanding of how business, education and technology can enable current and future leaders to contribute positively to the digital transformation currently in play across the globe.

In the modern and data-driven business landscape, organizations face an increasingly complex challenge: how to harness the power of Artificial Intelligence (AI) and digital twin technology to stay competitive and relevant. This challenge is exacerbated by the rapid evolution of these technologies and the urgent need for businesses to adapt. AI continues to advance in areas such as language comprehension, pattern recognition, decision-making, and experiential learning, while digital twins are transforming into electronic replicas of real-world entities. Consequently, businesses grapple with the complexities of navigating this transformative convergence. Digital Twin Technology and AI Implementations in Future-Focused Businesses addresses the pressing issue of how AI and digital twin technology are altering the very fabric of business operations. It delves into the profound implications for productivity, creativity, and decision-making in organizations across diverse industries. Staying ahead of the technical curve is crucial, and this book equips readers with the knowledge and insights needed to thrive in this evolving business landscape. As the book unfolds, it takes a deep dive into the potential solutions that AI-powered digital twins offer. It explores how these technologies streamline processes, automate jobs, and analyze vast volumes of data in real-time, leading to smarter and more informed business decisions. With chapters dedicated to topics like real-time monitoring, cybersecurity, and ethical considerations, it provides a holistic view of the challenges and opportunities presented by this convergence. This comprehensive guide serves as a roadmap, guiding decision-makers, technologists, researchers, and the broader audience on a transformative journey towards operational excellence, innovation, and competitive advantage.

A year of HBR's essential thinking on tech—all in one place.Generative AI, Web3, neurotech, reusable rockets to power the space economy—new technologies like these are reshaping organizations at the hybrid office, on factory floors, and in the C-suite. What should you and your company be doing now to take advantage of the new opportunities these technologies are creating—and avoid falling victim to disruption?The Year in Tech 2024: The Insights You Need from Harvard Business Review will help you understand what the latest and most important tech innovations mean for your organization and how you can use them to compete and win in today's turbulent business environment.Business is changing. Will you adapt or be left behind?Get up to speed and deepen your understanding of the topics that are shaping your company's future with the Insights You Need from Harvard Business Review series. Featuring HBR's smartest thinking on fast-moving issues—blockchain, cybersecurity, AI, and more—each book provides the foundational introduction and practical case studies your organization needs to compete today and collects the best research, interviews, and analysis to get it ready for tomorrow.You can't afford to ignore how these issues will transform the landscape of business and society. The Insights You Need series will help you grasp these critical ideas—and prepare you and your company for the future.

This book presents a groundbreaking exploration into the dynamic synergy between artificial intelligence and business development. Titled'AI Integration for Business Development: Navigating Opportunities, Unleashing Potential, Managing Risks,'it serves as an indispensable guide for leaders and visionaries aiming to harness the transformative power of AI. The book introduces a comprehensive journey that unveils the strategic integration of AI into business development strategies. This book shows how to navigate a myriad of opportunities, strategically unleash untapped potential, and adeptly manage risks in the ever-evolving landscape of artificial intelligence. Through meticulous insights, real-world examples, and actionable strategies, readers gain the knowledge to make informed decisions and drive competitive advantage. This book presents not only a roadmap for identifying lucrative opportunities but also a blueprint for unlocking the full potential of AI technologies. Whether you are a seasoned executive, entrepreneur, or decision-maker, this book empowers you to proactively manage risks inherent in AI adoption, ensuring resilience and adaptability in your business model. Discover how to stay ahead in the rapidly changing business landscape, shaping the future of your business development initiatives. This book is your indispensable companion, offering profound insights into AI integration and empowering you to seize the transformative potential of AI. This book is your key to charting a course toward sustained success and innovation in the dynamic world of modern business.

The metaverse is so much more than just a technology and immersive experience. Join digital visionary and global platform innovation expert David Palmer on this exciting journey exploring the metaverse and its myriad commercial, impact and career opportunities for business.The Business of Metaverse outlines the building blocks for success in the metaverse and how organizations can effectively position themselves to transition and benefit from it. It presents a unique framework showing how different components of the metaverse and the physical worlds can come together, providing a basis for strategic positioning for different sectors and industries and equipping readers with valuable insights into how they can anticipate and navigate key opportunities and challenges. Delving into this new world with embedded immersive capabilities, it explores what metaverse business entities could look like, the new business models in waiting and how businesses can gain competitive advantage through the power of interoperability. Taking a panoramic approach to opportunity, it examines the wide-ranging transformative impacts that the metaverse can bring to the business landscape, from equality and inclusive impact, new work and career paths and digital identities to new digital and data currencies in the metaverse economy.

FINALIST: American Book Fest Best Book Awards 2024 - Business: TechnologyResponsible AI is a guide to how business leaders can develop and implement a robust and responsible AI strategy for their organizations.Responsible AI has rapidly transitioned to a strategic priority for leaders and organizations worldwide. Responsible AI guides readers step-by-step through the process of establishing robust yet manageable ethical AI initiatives for any size organization, outlining the three core pillars of building a responsible AI strategy: people, process and technology. It provides the insight and guidance needed to help leaders fully understand the technical and commercial potential of ethics in AI while also covering the operations and strategy needed to support implementation.Responsible AI breaks down what it means to use ethics and values as a modern-day decision-making tool in the design and development of AI. It conceptually covers both how ethics can be used to identify risks and establish safeguards in the development of AI and how to use ethics-by-design methods to stimulate AI innovation. It also covers the different considerations for large enterprises and SMEs and discusses the role of the AI ethicist. It is supported by practical case studies from organizations such as IKEA, Nvidia, Rolls-Royce and NatWest Group.

Today, the convergence of cutting-edge algorithms and actionable insights in business is paramount for success. Scholars and practitioners grapple with the dilemma of optimizing data to drive efficiency, innovation, and competitiveness. The formidable challenge of effectively harnessing the immense power of intelligent optimization techniques and business analytics only increases as the volume of data grows exponentially, and the complexities of navigating the intricate landscape of business analytics becomes more daunting. This pressing issue underscores the critical need for a comprehensive solution, and Intelligent Optimization Techniques for Business Analytics is poised to provide much-needed answers. This groundbreaking book offers an all-encompassing solution to the challenges that academic scholars encounter in the pursuit of mastering the interplay between learning algorithms and intelligent optimization techniques for business analytics. Through a wealth of diverse perspectives and expert case studies, it illuminates the path to effectively implementing these advanced systems in real-world business scenarios. It caters not only to the scholarly community but also to industry professionals and policymakers, equipping them with the necessary tools and insights to excel in the realm of data-driven decision-making. Encompassing a wide range of topics, from foundational principles to practical applications, this book serves as a transformative solution. It is a guide for those seeking to comprehend and harness the potential of machine learning and intelligent optimization in the field of business analytics. It dives into practical challenges, ethical considerations, and showcases the wide-ranging applicability of these techniques across various domains. Intelligent Optimization Techniques for Business Analytics is the solution that empowers scholars to make informed decisions in complex business scenarios, revolutionizing the way data is leveraged and shaping the future of enterprises.

Software Engineering Approaches to Enable Digital Transformation Technologies features contributions reflecting ideas and research in enabling digital transformation technologies through software engineering. To date, multiple, different approaches have been adopted to develop software solutions for a variety of different problems. Of all the available approaches, the main approaches are level-oriented, data flow-oriented, data structure-oriented, and object-oriented design approaches. The other focus of the book is digital transformation, which can be defined as the adoption of digital technology to improve efficiency, value, and innovation Digitalization is more than just putting additional technological systems and services in place. Rather than improving conventional methods, a true digital transformation initiative includes radically rethinking company structures and procedures. There are four types of digital transformation: business process, business model, domain, and cultural and organizational. Companies are being challenged to develop new business models that consider and harness digitalization. From the standpoint of software engineering, digital transformation alters how software is built. Current trends include the development of mobile applications, cloud applications, and Internet of Things (IoT) applications. Emerging trends are the development of digital twins, robotics, artificial intelligence, machine learning, augmented reality, and additive manufacturing. This book examines the challenges that arise due to digitization in society and presents plausible solutions that could be applied to counter these challenges and convert them into opportunities. These solutions may further be improvised and worked out for the software companies from the technological perspective, organizational perspective, and management perspective.

The book offers insights and strategies to help companies and managers generate and manage knowledge, enabling the successful implementation of innovations and digitalization projects. It outlines the customer and employee engagement activities necessary to transform information into actionable knowledge. By addressing the pragmatic applicability of the innovation process for fostering a growth mindset and customer centricity, the book emphasizes that information becomes knowledge only when sorted and given context and made usable by the company. Developed using case studies and interviews from the financial services, life sciences, and technology industries, the book introduces a pragmatic innovation process and knowledge generation framework. It presents seven practical guidelines to support managers in achieving their innovation goals.

Navigating the complexities of the metaverse presents a significant challenge in the rapidly evolving landscapes of business and education. As enterprises seek innovative ways to engage customers in virtual environments and educators explore new avenues for immersive learning experiences, having a comprehensive understanding and guidance is immeasurably valuable. However, the need for more literature addressing these emerging fields leaves a gap in knowledge and practice. Exploring the Use of Metaverse in Business and Education fills this void by providing a structured framework for studying the multifaceted dimensions of the metaverse. Edited by experts in their respective fields, each chapter of the book offers insights into foundational technologies, cutting-edge academic research, practical applications, and challenges ahead. This comprehensive approach equips readers with the knowledge and tools to navigate the metaverse confidently. By addressing the metaverse's current state and future potential, the book enables businesses to leverage this transformative technology for marketing, branding, and e-commerce. It also provides educators with strategies for creating immersive virtual learning environments and enhancing student engagement. As businesses and educational institutions increasingly turn to the metaverse for innovative solutions, this book is a valuable resource for understanding and harnessing its potential. Bridging the gap between theory and practice empowers readers to navigate the metaverse's complexities and unlock new opportunities for growth and learning.

We have gone through one of the most disruptive societal changes, on a global scale, over the last three years due to COVID-19. Regardless of the personal and professional impact the pandemic had on us, we've all had to adapt to a different reality that continues today. The pandemic has also forced organizations large and small to adjust and rethink their normal business activities – sometimes in abrupt ways – in order to survive a global shutdown. Organizations that did adjust well applied five major principles that they'll be wise to continue with for the long-term, both when facing extreme events or merely the new normal. First and foremost, successful organizations accelerated digital and the use of digital tools and business models as much as possible. For example, retail operations with modest digital presence suddenly had to sell through digital channels, rather than physical stores. Entertainment content creators had to push everything into streaming services instead of theaters. And healthcare providers moved patient encounters from in-person to telehealth as much as was feasible and safe. This accelerated the digital transformation movement and is the focus of this book. This thought-provoking book offers fundamental principles and a narrative about the entire journey to doing and ultimately being digital, with the view to help the reader build their own mental model on how to approach digital in their situations and organizations. The book also draws a story in which concepts and practices are introduced as needed and is based on the author's own experiences at American Express and Disney. Presented in five parts, the author introduces the topics of digital, digitization, and digital transformation; discusses the fundamental concepts and building blocks of digital; describes who makes up the ideal digital team; the principles and processes of execution; and puts it all together in the context of the overall business. The author concludes his narrative with a case study from the healthcare industry – an industry that is still 10-15 years behind in their digital transformation. The book concludes with the author's observations of what AI and ChatGPT means for digital transformations.

As organisations of all sizes become increasingly digitalised, a core management challenge remains unresolved. The ability to successfully and sustainably connect the stated vision of an organisation with its strategic plans and, in turn, with the reported reality of day-to-day operations, is largely an elusive ambition, despite the many stated advantages provided by contemporary technologies. In this book, the case is made for visual management as a method of communications, planning, learning and reporting that connects the organisation in a single, meaningful and seamless way. Throughout this book, visual management is theorised around the position that all forms of management documentation are an artefact of human construction and of the organisation itself that reflect learned patterns of activity. The book places visual management as a more intuitive and seamless method of coordinating, learning and communicating across an organisation than more traditional formats of presenting management documents. Consciously assembling the artefacts of an organisation in order to manage it introduces a layer of criticality that encourages reflection and consistency that is often absent from current management practice. The benefits that a visual approach brings to organisational management are an increasing necessity, as machine learning, robotics and process automation remove traditional roles from organisations and necessitate new views on how individuals now fit into a data-informed business. The book contributes to the academic debate regarding resource-based and knowledge-based views of the organisation by advocating a different, more holistic viewpoint and will thus appeal to academics and researchers in this area. It would also benefit students across business disciplines, whilst the practical models and tools offered will benefit directors and managers looking to implement their own visual organisational language.

Artificial intelligence (AI) is transforming the business world at an unprecedented pace. From automating mundane tasks to predicting consumer behaviour, AI is changing the way businesses operate across all sectors. This book is an exploration of AI in business applications, highlighting the diverse range of ways in which AI is being used across different industries. The book begins with an overview of AI in business and its impact on the workforce. It then explores the role of AI in marketing, advertising, and tourism. The use of AI in personalized recommendations and chatbots is discussed in detail. The book then moves on to examine how AI is changing the retail industry, improving supply chain management, and enhancing the customer experience. The media and entertainment industry is also examined, with a focus on how AI is being used to personalize content and improve the user experience. The book also explores the use of AI in human resources, insurance, legal, and finance. The impact of AI on talent identification, recruitment, underwriting, document analysis, and financial forecasting is discussed in detail. In the healthcare and sports industries, AI is transforming the way we approach diagnosis, treatment, and training. The book examines how AI is being used to analyse medical images, develop personalized treatment plans, and improve patient outcomes. The use of AI in sports performance analysis is also discussed in detail. Finally, the book explores the use of AI in agriculture, energy, education, and the public sector. The potential of AI to optimize crop yields, reduce energy consumption, and improve the quality of education is discussed in detail. The book also examines how AI is being used to improve public services, such as transportation and emergency services. This book is a valuable resource for academics, researchers, professionals, and policymakers who are interested in understanding the potential of AI in the business world. The contributions from leading experts and researchers provide a comprehensive overview of AI in business applications, and how it is transforming different sectors. The book also examines the ethical dilemmas that arise from the use of AI in business, such as the impact on privacy and data security, and the potential for bias in AI algorithms. It provides valuable insights into how businesses can ensure that the use of AI is ethical and responsible. In conclusion, this book is a must-read for anyone interested in the potential of AI in the business world. It provides a comprehensive overview of AI in business applications and how it is transforming different sectors. The book examines the ethical dilemmas that arise from the use of AI in business, providing valuable insights into how businesses can ensure that the use of AI is ethical and responsible. We hope that readers will find this book informative and thought-provoking.

The misuse of AI has led to wrongful arrests, denial of medical care, even genocide-this book offers 7 powerful principles that business can use now to end the harm.AI holds incredible promise to improve virtually every aspect of our lives, but we can't ignore its risks, mishaps and misuses. Juliette Powell and Art Kleiner offer seven principles for ensuring that machine learning supports human flourishing. They draw on Powell's research at Columbia University and use a wealth of real-world examples. Four principles relate to AI systems themselves. Human risk must be rigorously determined and consciously included in any design process. AI systems must be understandable and transparent to any observer, not just the engineers working on them. People must be allowed to protect and manage their personal data. The biases embedded in AI must be confronted and reduced. The final three principles pertain to the organizations that create AI systems. There must be procedures in place to hold them accountable for negative consequences. Organizations need to be loosely structured so that problems in one area can be isolated and resolved before they spread and sabotage the whole system. Finally, there must be psychological safety and creative friction, so that anyone involved in software development can bring problems to light without fear of reprisal. Powell and Kleiner explore how to implement each principle, citing current best practices, promising new developments, and sobering cautionary tales. Incorporating the perspectives of engineers, businesspeople, government officials, and social activists, this book will help us realize the unprecedented benefits and opportunities AI systems can provide.

A year of HBR's essential thinking on tech—all in one place.Easy-to-use AI tools, contactless commerce, crypto for business, the mature metaverse—new technologies like these are reshaping organizations at the hybrid office, on factory floors, and in the C-suite. What should you and your company be doing now to take advantage of the new opportunities these technologies are creating—and avoid falling victim to disruption? The Year in Tech 2023: The Insights You Need from Harvard Business Review will help you understand what the latest and most important tech innovations mean for your organization and how you can use them to compete and win in today's turbulent business environment.Business is changing. Will you adapt or be left behind?Get up to speed and deepen your understanding of the topics that are shaping your company's future with the Insights You Need from Harvard Business Review series. Featuring HBR's smartest thinking on fast-moving issues—blockchain, cybersecurity, AI, and more—each book provides the foundational introduction and practical case studies your organization needs to compete today and collects the best research, interviews, and analysis to get it ready for tomorrow.You can't afford to ignore how these issues will transform the landscape of business and society. The Insights You Need series will help you grasp these critical ideas—and prepare you and your company for the future.

The metaverse is the future of business applications and models, and this ground-breaking book points and details a complete and clear picture of how the metaverse can impact the various business segments and how the human element will be maintained within the evolutionary change. This book serves as a guide for those planning to implement and expand the metaverse in their business as well as those already using it on limited levels. Simulated intelligence innovation can reveal intricate and significant examples in robust and information-rich situations that posture difficulties for human insight.In addition, similar to other burgeoning advancements, the experience and aptitudes accumulated by vendors and consumers, alongside the steady analysis of interactions and information, empower metaverse calculations to be refined and improved. This book illustrates the current advancements and results and expands the analysis of human-centric metaverse applications to business segments and their future effects on overall enterprise management. Essentially, this book elaborates on the impact of the metaverse across business sectors through the use of case studies.

This book pursues the questions from a broad range of law and economics perspectives. Digital transformation leads to economic and social change, bringing with it both opportunities and risks. This raises questions of the extent to which existent legal frameworks are still sufficient and whether there is a need for new or additional regulation in the affected areas: new demands are made on the law and jurisprudence.

“This book is one of the most worthwhile and immediately usable reads I have come across in a long time.” –KiplingerWant to stand out from the crowd? We have studied 30,000 top leaders and have discovered the 12 habits they share that make them as rare as a unicorn. Learn these habits, and you'll be one of the best at whatever you do!How do I stand out? How do I become irreplaceable? With a crowded workforce, an unstable job landscape, and the rise of AI, these questions are the ones that everyone either is or should be asking.William Vanderbloemen has asked these questions over the past 15 years while running one of the world's top executive search firms. Through extensive research of over 30,000 top leaders and proprietary data, Vanderbloemen has identified the 12 habits that the best of the best have in common. Traits such as authenticity, responsiveness, agility, and the ability to problem solve, among others.Each habit includes information on What We Know (the hard data behind why the habit is so transformative), What We've Seen (first-hand accounts by high-achieving professionals on how they live the habit), and What We Do (simple ways to build this habit into your daily routine). Be the Unicorn will help you:Discover the top twelve soft skills the most successful leaders, the top 1%, have. Understand how to develop these soft skills in your own life for better job success. Learn how to apply soft skills to interpersonal relationships outside of work. Understand how these soft skills can be applied in different work environments and job fields, especially with the rise of AI technology.

The Economist's Best Books of 2023 Forbes Top 10 Business Books of 2023Financial Times'Monthly Best Business Books to Read Pick In this'handbook for disruptors'(Eric Schmidt), The Geek Way reveals a new way to get big things done. It will change the way you think about work, teams, projects, and culture, and give you the insight and tools you need to harness our human superpowers of learning and cooperation. What is “being geeky?” It's being a perennially curious person, one who's not afraid to tackle hard problems and embrace unconventional solutions. McAfee shows how the geeks have created a new culture based around four norms: science, ownership, speed, and openness. The geek way seems odd at first. It's not deferential to experts, fond of planning and process, afraid of mistakes, or obsessed with'winning.'But it explains everything from why Montessori babies turn out to be creative tinkerers to how newcomers are disrupting industry after industry (and still just getting started). When all four norms are in place, a culture emerges that is freewheeling, fast-moving, egalitarian, evidence-driven, argumentative, and autonomous. Why does the geek way work so much better? McAfee provides an original answer: because it taps into humanity's superpower, which is our ability to cooperate intensely and learn rapidly. By providing insights from the young discipline of cultural evolution, McAfee shows that when we come together under the right conditions, we quickly figure out how to build reusable spaceships and self-correcting organizations. Under the wrong conditions, though, we create bureaucracy, chronic delays, cultures of silence, and the other classic dysfunctions of the Industrial Era. Mixing cutting-edge science, history, analysis, and stories that show the geek way in action, McAfee offers a new way to see the world and empowering tools for seizing the big opportunities of today and tomorrow.

Global surveys from McKinsey, BCG, Gartner, and others show that less than 30% of digital transformation programs succeed in their missions to improve a company's performance and employee productivity. This is due to the fact that IT efforts within the company do not center around the employee. This book will provide concrete steps to allow both IT professionals and business leaders to transform the way they deliver IT to employees – with the employee (the human) centered in their transformation.The concepts, models, checklists, and playbook you'll review are based on the author's many years of experience, lessons learned, and proven outcomes. IT organizations want to improve their employee experience but don't know how and this is the “must have” book for those who don't know where to start. More than two-thirds of today's jobs require good digital and IT skills from employees. The expectations of management, who invest in these big digital transformations, is that the employees will become more productive, effective and help the bottom line. However, this can only happen through active and proactive change of IT operations and transformations that center the employee, rather than technology or senior management. This book reveals the benefit of moving towards an approach where employees gain technology aptitude, are up for technology change, and are willing to learn more for their benefit and even provide feedback on ways to improve these tools, trainings and support. You'll see how employee engagement and experience research, concepts, and implementations are growing rapidly across many organizations and taking a key role in their global strategies. Employee-centric IT will transform employees to own their digital literacy and development, and this in turn reduces or even eliminates the shadow IT need and allows the organization to drive and implement successful digital transformation.What You'll LearnUnderstand the value of being employee-centric in IT departments versus current modelsTake steps to win IT team's acceptance of the changes needed to achieve employee-centricityBe proactive in providing training & information on digital & productivity toolsWho This Book Is ForBusiness leaders, IT and digital leaders as well as IT employees who would like to transform their current IT and Digital teams to be more employee centric and drive highest level of value, adoption and satisfaction for their IT/digital programs, transformations and investment.

Este libro es una guía indispensable para todos aquellos interesados en comprender los ecosistemas de negocios, innovación y emprendimiento. A lo largo de sus páginas, el autor aborda de manera rigurosa el concepto, haciendo un recorrido que va desde su origen en la biología hasta su pleno uso en los campos de la innovación, el emprendimiento y el mundo digital. El recorrido cronológico se acompaña de una revisión exhaustiva de las características de los ecosistemas y del análisis de aquellos modelos más representativos disponibles tanto en la literatura científica como en los trabajos relacionados. Además, se trata uno de los grandes retos que enfrentan los ecosistemas: la coordinación. Para ello, se define tanto la teoría de la coordinación como sus componentes, mecanismos y procesos, con el fin de proponer un marco de referencia aplicable, el denominado Coordination of University Entrepreneurship Ecosystems (cu2e). En definitiva, este libro es útil para todos aquellos que quieran saber más sobre los ecosistemas de negocios, innovación y emprendimiento y para los estrategas que buscan hacer de la teoría de los ecosistemas una buena práctica para el diseño de soluciones en otros contextos diferentes al mundo universitario.

El estudio de la dirección de las organizaciones, de las prácticas de gestión o de los diseños organizativos que conducen al éxito organizacional ha recibido históricamente un amplio interés, ya sea de académicos, profesionales de la gestión o consultoría, o poderes y administraciones públicas. Y sigue siendo campo de estudio obligado de la economía, la dirección de empresas y otros campos de las ciencias sociales. Las distintas teorías, paradigmas y enfoques desarrollados han buscado establecer las condiciones y variables que permiten y favorecen-o los factores que limitan- alcanzar altos valores de eficiencia, maximizar el valor creado, minimizar las externalidades negativas, etc.

As the use of AI becomes more and more ubiquitous in companies around the world, managers charged with taking key decisions require resources to enable them to evaluate new projects effectively. The business case for AI projects is not necessarily clear cut and part of the reason for this is the lack of understanding on key decision criteria. AI touches on many ethical concepts - data privacy, validity and more importantly, its potential misuse. AI is often being used to replace human decision-making and there is often no real understanding of the implications of this. This book provides a detailed primer for practitioners without a deep technological background. It guides the reader through the basic issues and offers advice on ‘how to take decisions'. There is a dearth of such books currently available and this book aspires to fill a growing niche. ENDORSEMENTS:'This book is sure to offer value to business users, students and the general public.'— K. Ananth Krishnan, Tata Consultancy Services'I highly recommend this book for the leader seeking an up-to-date review of AI to make strategic investments.'— Kes Sampanthar, Innovation, BCG Brighthouse'The specificity of application in case studies and easy to understand definitions and recommendations make this a must read in the ever-growing field of literature around AI.'— John C. Havens'The AI Enabled Organization is the perfect tool to embark on a thorough assessment of what AI means for your business.'— Arno Fehler, Schmidt Kranz Group, Germany

In Building an Innovation Powerhouse you will learn how to maximise the potential of people to grow your business. Authors Andy Wynn and Jim Hick dive deep into the most complex aspect of innovation and skilfully deconstruct the multi-dimensional complexities of working with people to reveal the secrets of how to handle the challenges of innovation. Building an Innovation Powerhouse uncovers the inner workings of industry giants, including Boston Consulting Group, Google, Hexcel, Kennametal, DuPont, CeramTec, Novartis, and many more, and explains exactly how these organisations and their leaders have motivated people to create a culture of innovation. A roadmap clearly sets out change in the following:1. Culture – how to guide an organisation to work holistically.2. Teams – how to ensure collaboration is laser-focused on business growth.3. Individuals – what people can do to become more creative and contribute to business success.4. Diversity – how to develop the right mix of skillsets, backgrounds and viewpoints.5. Leadership – what business leaders need to do to ensure that all levels of the business are heading in the right direction and delivering growth.Written with true insight by renowned leaders in their fields and enhanced by valuable case studies and contributions from numerous senior executives who have a real passion for stimulating innovation to drive business growth, this book is essential reading for businesses looking to transform into an innovation powerhouse.

Every organization faces the challenge of competing in the digital economy. An increasingly dynamic environment requires more flexible and resilient organizations. The spread of the COVID-19 pandemic revolutionized dormant concepts and standards, requiring innovative approaches to bring forth new scenarios. Redesigning the work environment is an issue that cuts across both academic and practical levels and involves reorganizing traditional business models. This book explores the potential of different approaches to work organization and proposes solutions to improve collaboration and efficiency in the work environment, while enabling a better balance between personal and professional life. The book includes an analysis of the public sector. By illuminating advantages and disadvantages, the research results contribute to discussion in the public organizations field, with the aim of proposing new strategic paradigms for sustainable and resilient future work environments.

In the business world, digital transformation involves finding and developing new strategies and modernizing the information technology of private and public companies. This book presents practices, challenges, and opportunities related to digital transformation. It includes fourteen chapters that address digital transformation in a variety of industries, including finance, construction, education, marketing, and more.

This book seeks to build a shared understanding of Artificial Intelligence (AI) within the global business scenario today and in the near future. Drawing on academic theory and real-world case studies, it examines AI's development and application across a number of business contexts.Taking current scholarship forward in its engagement with AI theory and practice for enterprises and applied research and innovation, it outlines international practices for the promotion of reliable AI systems, trends, research and development, fostering a digital ecosystem for AI and preparing companies for job transformation and building skills.This book will be of great interest to academics studying Digital Business, Digital Strategy, Innovation Management, and Information Technology.

A pandemic does not only bring health concerns for society but also significantly affects individuals and government and business operations. Recently, COVID-19 has substantially hampered conventional businesses and organizations worldwide. Digital technology can help achieve business continuity and overcome challenges caused by pandemic situations. Digital innovation is the application of digital technology to existing business problems. Ideas such as digital transformation and digitization are closely related to digital innovation. In this pandemic period, many businesses recognize that they need to transform, innovate, and adopt new technologies to stay competitive. However, digital transformation is an inherently complex process, and the time pressure to adopt quickly may result in further complexities for organizations in fostering digital technologies. Digital Innovations for Pandemics: Concepts, Challenges, Constraints, and Opportunities presents the potential of digital responses to the COVID-19 pandemic. It explores new digital concepts for learning and teaching, provides an overview of organizational responses to the crisis through digital technologies, and examines digital solutions developed to manage the crisis. Examining how information systems researchers can contribute to these global efforts, this book seeks to showcase how consumers, citizens, entrepreneurs, organizations, institutions, and governments are leveraging new and emerging digital innovations to disrupt and transform value creation in the pandemic era. It captures the breadth of digital innovations carried out to handle the pandemic and looks at the use of digital technologies to strengthen various processes. The book features the following: Solutions on how digital technologies enable responses to a global crisis An analysis of information systems used during the management of the COVID-19 pandemic New concepts for digital business and innovative content models for different sectors This book is written for advanced undergraduate students, postgraduate students, researchers, and scholars in the field of digital business, education, and healthcare. It includes theoretical chapters and case studies from leading scholars and practitioners on the technology-adoption practices of non-government organizations (NGOs), government, and business.

A holistic and real-world approach to operationalizing artificial intelligence in your company In Operating AI, Director of Technology and Architecture at Ericsson AB, Ulrika Jägare, delivers an eye-opening new discussion of how to introduce your organization to artificial intelligence by balancing data engineering, model development, and AI operations. You'll learn the importance of embracing an AI operational mindset to successfully operate AI and lead AI initiatives through the entire lifecycle, including key areas such as; data mesh, data fabric, aspects of security, data privacy, data rights and IPR related to data and AI models. In the book, you'll also discover: How to reduce the risk of entering bias in our artificial intelligence solutions and how to approach explainable AI (XAI) The importance of efficient and reproduceable data pipelines, including how to manage your company's data An operational perspective on the development of AI models using the MLOps (Machine Learning Operations) approach, including how to deploy, run and monitor models and ML pipelines in production using CI/CD/CT techniques, that generates value in the real world Key competences and toolsets in AI development, deployment and operations What to consider when operating different types of AI business models With a strong emphasis on deployment and operations of trustworthy and reliable AI solutions that operate well in the real world—and not just the lab—Operating AI is a must-read for business leaders looking for ways to operationalize an AI business model that actually makes money, from the concept phase to running in a live production environment.

This volume contains two Open Access chapters. Digital transformation is permeating all domains of business and society. Digital Transformation and Institutional Theory explores how manifestations of digital transformation requires rethinking of our understanding and theorization of institutional processes. Showcasing a collaborative forum of organization and management theory scholars and information systems researchers, the authors enrich institutional theory approaches in understanding digital transformation. Advancing institutional perspectives with an agenda for future research and methodological reflections, the chapters delve into digital transformations in relation to institutional logics and technological affordances, professional projects and new institutional agents, institutional infrastructure, and field governance. This volume deepens our understanding of the pervasive and increasingly important relationship between technology and institutions and the response of existing professions to the emergence of digital technologies. Moreover, the authors offer a cutting-edge analysis of how new digital organizational forms affect institutional fields, their infrastructure, and thus their governance.

This book describes a conceptual management system derived from the Business and Technology Relationship Model (BTRM). The BTRM describes the relationship between business and technology and provides simple definitions for service quality, alignment, agility, and governance. It explains our problems with traditional methods, democratizes the management and governance of enterprise technologies, and is suitable for introducing process automation. This book describes in detail how the BTRM, combined with a focus on value creation and value delivery, will enable continuous change, in the context of current, emerging and future technologies. It illustrates the potential for real-time insight and control not previously considered and provides a wide range of information to plan an implementation, understand where AI can be applied, and its importance in the world of self-managing systems. The topic of this book is particularly relevant for business managers, business technology managers and technology service providers.

Interconnecting the concepts of sustainability, innovation and transformation, this book explains how organizations have successfully transformed themselves and wider society to foster a more sustainable future, and identifies the difficulties and challenges along the way. Part of the Principle of Responsible Management Education (PRME) series, the book promotes a strong voice for meeting sustainability challenges for transformative change in a globalized world through business education and practice.A transition to a more sustainable way of doing business can only be attained by combining technology with profound system innovations and lifestyle changes. The chapters in the book, each written by a strong and well-recognized team of researchers in the field, open up the discussion about a new partnership between sustainability, innovation, and transformation that includes the global society (big world), the biosphere (small planet), and also requires a deep mind shift. The book presents cases from business (including Ikea and Eataly) and other service networks including the Base of the Pyramid (BoP), and illustrates how these organizations have transformed themselves for a sustainable future. The research perspectives are macro (policies and legislation), meso (institutional practices) and micro (business practices and individual behavior). This book is where research meets real-world business and societal practice. The chapters are grounded in business research, specifically the interdependencies between sustainability, innovation, and transformation, which makes for a robust basis for describing, explaining, and understanding the complex challenges faced by business and society in the 21st century. The book is intended for graduate- and postgraduate-level students and executive education with implications for practitioners. Furthermore, it contributes to multidisciplinary research in the field of interaction between business and society with a view to extending the firm-centric view to encompass a broader, systemic, and dynamic understanding of business and societal transformation.

Throughout the world, artificial intelligence is reshaping businesses, trade interfaces, economic activities, and society as a whole. In recent years, scholarly research on artificial intelligence has emerged from a variety of empirical and applied domains of knowledge. Computer scientists have developed advanced deep learning algorithms to leverage its utility in a variety of fields such as medicine, energy, travel, education, banking, and business management. Although a growing body of literature is shedding light on artificial intelligence-enabled difficulties, there is still much to be gained by applying fresh theory-driven techniques to this vital topic. Revolutionizing Business Practices Through Artificial Intelligence and Data-Rich Environments provides a comprehensive understanding of the business systems, platforms, procedures, and mechanisms that underpin different stakeholders'experiences with reality-enhancing technologies and their transformative application in management. The book also identifies areas in various business processes where artificial intelligence intervention would not only transform the business but would also make the business more sustainable. Covering key topics such as blockchain, business automation, and manufacturing, this reference work is ideal for computer scientists, business owners, managers, industry professionals, researchers, academicians, scholars, practitioners, instructors, and students.

Digital transformation is a multidimensional concept and involves many moving parts. Successful digital transformation requires a fresh approach to harnessing people, processes, technology, and data to develop new business models and digital ecosystems. One main barrier could be an overemphasis on applying technology to expand the business rather than transforming the people's mindsets to do things differently. Thus, it is important to develop a holistic view of these parts and assemble them to foster the right conditions for digital transformation to happen. Business leaders and executives must be equipped with a wide range of digital competencies to thrive in a rapidly changing digital environment. Digital Transformation: Strategy, Execution, and Technology provides an overall view on the strategy, execution, and technology for organizations aiming to transform digitally. It offers insights on how to become more successful in the digital age by explaining the importance and relevance of the various building blocks which form the foundation of a digital organization. It shows the reader how to develop these building blocks in the organization as part of the digital transformation journey from both a business and technical perspective. Highlights of the book include: Digital transformation strategy Digital governance and risk management Digital organization and change management Experimental learning and design thinking Digital product management Agile and DevSecOps Digital enterprise architecture Business applications of digital technology This practical guide is written keeping business and information technology professionals and digital transformation practitioners in mind. It is also suitable for students pursuing postgraduate degrees and participants attending executive education programs in business and information technology.