Artificial Intelligence And Innovation Management

Artificial Intelligence and Innovation Management contributes to the ongoing debate among innovation scholars and practitioners focusing on the potential impact of Artificial Intelligence (AI) on the ways companies and organizations do business, operate and innovate. It considers AI as a source of innovation both in terms of innovation within the field of AI itself (AI innovation) and in terms of how it enables or disrupts innovation in other fields (AI-driven innovation). The book's content is driven by several important conclusions:It is therefore both necessary and timely to explore the different aspects of the relationship between AI and IM.The contributors to this book include both scholars and practitioners from multiple countries and different types of institutions. They were selected based on their ability to provide a relevant distinctive perspective on the relationship between AI and IM; the degree of their professional engagement with the field; their ability to contribute to the thematic and contextual diversity of the contributions; and their ability to provide actionable insights for both innovation scholars and practitioners.Helena Blackbright (Mälardalen University, Sweden) and Stoyan Tanev (Carleton University, Canada) are chairing the Special Interest Group on AI and IM at the International Society for Professional Innovation Management (https://www.ispim-innovation.com/).

There is no industry left where artificial intelligence is not used in some capacity. The application of this technology has already stretched across a multitude of domains including law and policy; it will soon permeate areas beyond anyone’s imagination. Technology giants such as Google, Apple, and Facebook are already investing their money, effort, and time toward integrating artificial intelligence. As this technology continues to develop and expand, it is critical for everyone to understand the various applications of artificial intelligence and its full potential. The Handbook of Research on Innovative Management Using AI in Industry 5.0 uncovers new and innovative features of artificial intelligence and how it can help in raising economic efficiency at both micro and macro levels and provides a deeper understanding of the relevant aspects of artificial intelligence impacting efficacy for better output. Covering topics such as consumer behavior, information technology, and personalized banking, it is an ideal resource for researchers, academicians, policymakers, business professionals, companies, and students.

"This book provides a deeper understanding of the relevant aspects of artificial intelligence that impact all industries , discussing applications of AI and how they are designed to increase efficiency by offering various management techniques"--

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.

One of the greatest challenges in the ever-changing world of IT is to create and maintain an innovation culture and align innovation activities with company strategy. This book provides a fresh perspective on innovation management activities in an IT environment using examples from both start-ups and established companies such as Cisco, Ericsson Nikola Tesla, Lufthansa Systems, Worldline, Amdocs, Telefonica and Enea. This book addresses the following issues: The software development environment offers many possibilities for innovation, yet also places some constraints on the innovation process at the same time. It considers how this can be bypassed to bring success to the company. It is a challenge to create and maintain an innovation culture using an agile process in the area of software development with its short cycles. This book describes how to bring innovation challenges closer to developers and use their experience and vision to create new projects. It also shows how to inspire software engineers using incremental and often small but useful money-saving improvements. The fourth industrial revolution changes companies from the inside and brings changes to common agile product management processes in IT. This book examines the effects on innovation management and what mechanisms are used for success in this new environment.

Innovation and Collaboration in the Digital Era provides a holistic approach to collaborative innovation, innovation management and innovation leadership. It is full of practical advice and includes 34 interviews with high-level politicians, innovation industry leaders, academics and entrepreneurs discussing the reality of innovation and how to create change for a positive impact. Many quotes are included from researchers and practitioners in the innovation field who have participated as guests in the author’s podcast “Business of Collaboration” or in interviews with the Collabwith Magazine which she produces. This is a powerful book full of practical frameworks and one-page canvases which act as reminders of the value of making needs and expectations explicit. The author provides frameworks and tools that can be used to support collaboration journeys across different sectors and organizations. She also offers clarity to the reader for their innovation journey and brings a new perspective on how to innovate and understand innovation. Jara Pascual focuses on the importance of managing emotions and feelings of frustration which can be very common during a collaborative innovation process. She explores the interaction between Emotional Intelligence and business and shows how to remove and manage frustration and how to produce a positive outcome. Innovation and Collaboration in the Digital Era will empower the reader to take action and show how to change your conversation about innovation and collaboration. “Jara Pascual, with colleague Celia Avila-Rauch, has been able to distill and apply the ability model of emotional intelligence to the art and science of innovation and innovation leadership. In our work we note that feelings are not always facts but that emotions as a form of data. More than that, emotions can assist or facilitate with decision making, creativity and innovation rather than getting in the way, but only if leaders are “smart” about emotions and develop and deploy their emotional intelligence skills.” Dr David R Caruso, Emotional Intelligence Skills Group, Founder Yale Center for Emotional Intelligence, Research Affiliate

Angelika C. Bullinger elaborates, applies and tests a methodology for ontology development for use in business management. She models ontologically the moment of idea assessment and selection on a company-specific, industry-typical and generic level and presents action-oriented implications for implementation of the methodology in business reality.

Belonging to the realm of intelligent technologies, it is increasingly accepted that artificial intelligence (AI) has evolved from being merely a development standpoint in computer science. Indeed, recent reports and academic publications show that we are clearly on the path toward pervasive AI in both business and society. Organizations must adopt AI to maintain a competitive advantage and explore opportunities for unprecedented innovation. This book focuses on understanding the wide range of opportunities as well as the spectrum of challenges AI brings in different business contexts and society at large. The book highlights novel and high-quality research in data science and business analytics and examines the current and future impact of AI in business and society. The authors bridge the gap between business and technical perspectives and demonstrate the potential (and actual) impact on society. Embracing applied, qualitative, and quantitative research as well as field experiments and data analysis, the book covers a broad range of topics including but not limited to human-centered AI, product and process innovation, corporate governance, AI and ethics, organizational performance, and entrepreneurship. This comprehensive book will be a valuable resource for researchers, academics, and postgraduate students across AI, technology and innovation management, and a wide range of business disciplines.