Identifying Emerging Trends in Technological Innovation Doctoral programs in science and engineering are important sources of innovative ideas and techniques that might lead to new products and technological innovation. Certainly most PhD students are not experienced researchers and are in the process of learning how to do research. Nevertheless, a number of empiric studies also show that a high number of technological innovation ideas are produced in the early careers of researchers. The combination of the eagerness to try new approaches and directions of young doctoral students with the experience and broad knowledge of their supervisors is likely to result in an important pool of innovation potential. The DoCEIS doctoral conference on Computing, Electrical and Industrial En- neering aims at creating a space for sharing and discussing ideas and results from doctoral research in these inter-related areas of engineering. Innovative ideas and hypotheses can be better enhanced when presented and discussed in an encouraging and open environment. DoCEIS aims to provide such an environment, releasing PhD students from the pressure of presenting their propositions in more formal contexts.

Those entrenched in academia often have daunting processes of formulating research questions, data collection, analysis, and scholarly paper composition. Artificial intelligence (AI) emerges as an invaluable ally, simplifying these processes and elevating the quality of scholarly output. Where the pursuit of knowledge meets the cutting edge of technology, Utilizing AI Tools in Academic Research Writing unfolds a transformative journey through the symbiotic relationship between AI and academic inquiry. It offers practical insights into the myriad ways AI can revolutionize academic pursuits. This book extends beyond theoretical discussions, delving into practical dimensions of AI integration, demonstrating how it facilitates topic identification, refines research design, empowers data analysis, and enriches literature reviews. Readers will explore AI's indispensable role in precise hypothesis development, enhancing the very foundation of academic inquiry. The book introduces AI-powered tools that streamline writing and editing, ensuring research papers meet the highest standards of clarity and correctness. Ethical considerations in AI-integrated research take center stage, emphasizing responsible and transparent practices. This book is ideal for doctoral candidates, master's students, undergraduates, or seasoned faculty members.

This is the eBook of the printed book and may not include any media, website access codes, or print supplements that may come packaged with the bound book. ANTICIPATE AND SHAPE TECHNOLOGICAL DISRUPTION...INSTEAD OF BEING VICTIMIZED BY IT Gain powerful insights for crafting strategy in technology-rich industries, from IT to finance, and healthcare to energy Understand the massive social impacts of technology, and how today’s societal divisions shape your opportunities to innovate For everyone who must manage new technologies and respond to technological disruption From biotech to nanotech to big data, the pace of technological disruption continues to accelerate. Now, leading business strategy expert Alfred Marcus offers powerful tools for anticipating technological change, and managing the threats and opportunities it poses. Marcus illuminates the ongoing interplay between technological change and wider societal trends, helping you recognize new opportunities created by these interactions, and maximize the upside–both for your company and the broader society. Whether you’re an executive or strategist, technical professional or MBA student, this guide will sharpen your focus on the future so you can navigate radical technological-driven change–wherever it leads. Emerging technologies offer immense promise for generating growth, profitability, and prosperity. But they face major obstacles to commercialization, and have environmental and social costs that must be carefully managed to maximize the benefit and mitigate the harm. This book is about the foresight and strategic actions required for these new technologies to play a positive rather than negative role. Alfred Marcus illuminates their potential, reviews the risky decisions needed to transform potential into reality, and discusses how technologies might be used to ameliorate social problems rather than exacerbate them. Whether you’re an executive, manager, or student, you’ll gain powerful insights into innovation, strategy, execution, technology management, and the fastchanging business environment in which technological change takes place.

This book identifies and discusses the main challenges facing digital business innovation and the emerging trends and practices that will define its future. The book is divided into three sections covering trends in digital systems, digital management, and digital innovation. The opening chapters consider the issues associated with machine intelligence, wearable technology, digital currencies, and distributed ledgers as their relevance for business grows. Furthermore, the strategic role of data visualization and trends in digital security are extensively discussed. The subsequent section on digital management focuses on the impact of neuroscience on the management of information systems, the role of IT ambidexterity in managing digital transformation, and the way in which IT alignment is being reconfigured by digital business. Finally, examples of digital innovation in practice at the global level are presented and reviewed. The book will appeal to both practitioners and academics. The text is supported by informative illustrations and case studies, so that practitioners can use the book as a toolbox that enables easy understanding and assists in exploiting business opportunities involving digital business innovation.

The central theme of this book is that integration issues must be confronted and managed in order to capture value from technological innovation. It provides a comprehensive introduction to the basic principles of technology management

This book develops new theoretical perspectives on the economics and politics of innovation and knowledge in order to capture new trends in modern capitalism. It shows how giant corporations establish themselves as intellectual monopolies and how each of them builds and controls its own corporate innovation system. It presents an analysis of a new form of production where Google, Amazon, Facebook, Apple and Microsoft, and their counterparts in China, extract value and appropriate intellectual rents through privileged access to AI algorithms trained by data from organizations and individuals all around the world. These companies’ specific form of production and rent-seeking takes place at the global level and challenges national governments trying to regulate intellectual monopolies and attempting to build stronger national innovation systems. It is within this context that the authors provide new insights on the complex interplay between corporate and national innovation systems by looking at the US-China conflict, understood as a struggle for global technological supremacy. The book ends with alternative scenarios of global governance and advances policy recommendations as well as calls for social activism. This book will be of interest to students, academics and practitioners (both from national states and international organizations) and professionals working on innovation, digital capitalism and related topics.