Author: Volker Nestle
Publisher: Springer Nature
ISBN: 3030576426
Category : Business & Economics
Languages : en
Pages : 347
Book Description
This book offers fresh impulses from different industries on how to deal with innovation processes. Authors from different backgrounds, such as artificial intelligence, mechanical engineering, medical technology and law, share their experiences with enabling and managing innovation. The ability of companies to innovate functions as a benchmark to attract investors long-term. While each company has different preconditions and environments to adapt to, the authors give guidance in the fields of digitalization, workspaces and business model innovation.
Creating Innovation Spaces
Author: Volker Nestle
Publisher: Springer Nature
ISBN: 3030576426
Category : Business & Economics
Languages : en
Pages : 347
Book Description
This book offers fresh impulses from different industries on how to deal with innovation processes. Authors from different backgrounds, such as artificial intelligence, mechanical engineering, medical technology and law, share their experiences with enabling and managing innovation. The ability of companies to innovate functions as a benchmark to attract investors long-term. While each company has different preconditions and environments to adapt to, the authors give guidance in the fields of digitalization, workspaces and business model innovation.
Publisher: Springer Nature
ISBN: 3030576426
Category : Business & Economics
Languages : en
Pages : 347
Book Description
This book offers fresh impulses from different industries on how to deal with innovation processes. Authors from different backgrounds, such as artificial intelligence, mechanical engineering, medical technology and law, share their experiences with enabling and managing innovation. The ability of companies to innovate functions as a benchmark to attract investors long-term. While each company has different preconditions and environments to adapt to, the authors give guidance in the fields of digitalization, workspaces and business model innovation.
The Innovation Mode
Author: George Krasadakis
Publisher: Springer Nature
ISBN: 3030451399
Category : Business & Economics
Languages : en
Pages : 316
Book Description
This book presents unique insights and advice on defining and managing the innovation transformation journey. Using novel ideas, examples and best practices, it empowers management executives at all levels to drive cultural, technological and organizational changes toward innovation. Covering modern innovation techniques, tools, programs and strategies, it focuses on the role of the latest technologies (e.g., artificial intelligence to discover, handle and manage ideas), methodologies (including Agile Engineering and Rapid Prototyping) and combinations of these (like hackathons or gamification). At the same time, it highlights the importance of culture and provides suggestions on how to build it. In the era of AI and the unprecedented pace of technology evolution, companies need to become truly innovative in order to survive. The transformation toward an innovation-led company is difficult – it requires a strong leadership and culture, advanced technologies and well-designed programs. The book is based on the author’s long-term experience and novel ideas, and reflects two decades of startup, consulting and corporate leadership experience. It is intended for business, technology, and innovation leaders.
Publisher: Springer Nature
ISBN: 3030451399
Category : Business & Economics
Languages : en
Pages : 316
Book Description
This book presents unique insights and advice on defining and managing the innovation transformation journey. Using novel ideas, examples and best practices, it empowers management executives at all levels to drive cultural, technological and organizational changes toward innovation. Covering modern innovation techniques, tools, programs and strategies, it focuses on the role of the latest technologies (e.g., artificial intelligence to discover, handle and manage ideas), methodologies (including Agile Engineering and Rapid Prototyping) and combinations of these (like hackathons or gamification). At the same time, it highlights the importance of culture and provides suggestions on how to build it. In the era of AI and the unprecedented pace of technology evolution, companies need to become truly innovative in order to survive. The transformation toward an innovation-led company is difficult – it requires a strong leadership and culture, advanced technologies and well-designed programs. The book is based on the author’s long-term experience and novel ideas, and reflects two decades of startup, consulting and corporate leadership experience. It is intended for business, technology, and innovation leaders.
Artificial Intelligence And Innovation Management
Author: Stoyan Tanev
Publisher: World Scientific
ISBN: 180061134X
Category : Business & Economics
Languages : en
Pages : 328
Book Description
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/).
Publisher: World Scientific
ISBN: 180061134X
Category : Business & Economics
Languages : en
Pages : 328
Book Description
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/).
The Economics of Artificial Intelligence
Author: Ajay Agrawal
Publisher: University of Chicago Press
ISBN: 0226833127
Category : Business & Economics
Languages : en
Pages : 172
Book Description
A timely investigation of the potential economic effects, both realized and unrealized, of artificial intelligence within the United States healthcare system. In sweeping conversations about the impact of artificial intelligence on many sectors of the economy, healthcare has received relatively little attention. Yet it seems unlikely that an industry that represents nearly one-fifth of the economy could escape the efficiency and cost-driven disruptions of AI. The Economics of Artificial Intelligence: Health Care Challenges brings together contributions from health economists, physicians, philosophers, and scholars in law, public health, and machine learning to identify the primary barriers to entry of AI in the healthcare sector. Across original papers and in wide-ranging responses, the contributors analyze barriers of four types: incentives, management, data availability, and regulation. They also suggest that AI has the potential to improve outcomes and lower costs. Understanding both the benefits of and barriers to AI adoption is essential for designing policies that will affect the evolution of the healthcare system.
Publisher: University of Chicago Press
ISBN: 0226833127
Category : Business & Economics
Languages : en
Pages : 172
Book Description
A timely investigation of the potential economic effects, both realized and unrealized, of artificial intelligence within the United States healthcare system. In sweeping conversations about the impact of artificial intelligence on many sectors of the economy, healthcare has received relatively little attention. Yet it seems unlikely that an industry that represents nearly one-fifth of the economy could escape the efficiency and cost-driven disruptions of AI. The Economics of Artificial Intelligence: Health Care Challenges brings together contributions from health economists, physicians, philosophers, and scholars in law, public health, and machine learning to identify the primary barriers to entry of AI in the healthcare sector. Across original papers and in wide-ranging responses, the contributors analyze barriers of four types: incentives, management, data availability, and regulation. They also suggest that AI has the potential to improve outcomes and lower costs. Understanding both the benefits of and barriers to AI adoption is essential for designing policies that will affect the evolution of the healthcare system.
Innovation Management
Author: Vida Škudienė
Publisher: Edward Elgar Publishing
ISBN: 1789909813
Category : Business & Economics
Languages : en
Pages : 219
Book Description
Offering a conceptual framework that integrates strategy, product, process and human resource research, this timely book interrogates these four critical and interrelated areas of innovation management. Chapters examine new insights into the latest trends in the field, providing a holistic view into key management strategies that benefit both up-and-coming and established businesses.
Publisher: Edward Elgar Publishing
ISBN: 1789909813
Category : Business & Economics
Languages : en
Pages : 219
Book Description
Offering a conceptual framework that integrates strategy, product, process and human resource research, this timely book interrogates these four critical and interrelated areas of innovation management. Chapters examine new insights into the latest trends in the field, providing a holistic view into key management strategies that benefit both up-and-coming and established businesses.
Artificial Intelligence in Management
Author: Andrzej Wodecki
Publisher: Edward Elgar Publishing
ISBN: 1839104953
Category : Business & Economics
Languages : en
Pages : 211
Book Description
Autonomous systems are on the frontiers of Artificial Intelligence (AI) research, and they are slowly finding their business applications. Driven mostly by Reinforcement Learning (RL) methods (one of the most difficult, but also the most promising modern AI algorithms), autonomous systems help create self-learning and self-optimising systems, ranging from simple game-playing agents to robots able to efficiently act in completely new environments. Based on in-depth study of more than 100 projects, Andrzej Wodecki explores RL as a key component of modern digital technologies, its real-life applications to activities in a value chain and the ways in which it impacts different industries.
Publisher: Edward Elgar Publishing
ISBN: 1839104953
Category : Business & Economics
Languages : en
Pages : 211
Book Description
Autonomous systems are on the frontiers of Artificial Intelligence (AI) research, and they are slowly finding their business applications. Driven mostly by Reinforcement Learning (RL) methods (one of the most difficult, but also the most promising modern AI algorithms), autonomous systems help create self-learning and self-optimising systems, ranging from simple game-playing agents to robots able to efficiently act in completely new environments. Based on in-depth study of more than 100 projects, Andrzej Wodecki explores RL as a key component of modern digital technologies, its real-life applications to activities in a value chain and the ways in which it impacts different industries.
Artificial Intelligence and Computing Logic
Author: Cyrus F. Nourani
Publisher: CRC Press
ISBN: 1000400905
Category : Computers
Languages : en
Pages : 276
Book Description
Focusing on the cutting-edge applications of AI cognitive computing from neuromorphic to quantum cognition as applied to AI business analytics, this new volume explores AI’s importance in managing cognitive processes along with ontological modeling concepts for venturing into new business frontiers. The volume presents a selection of significant new accomplishments in the areas of AI cognitive computing ranging from neurocognition perception and decision-making in the human brain—combining neurocognitive techniques and effective computing—to basic facial recognition computing models. Topics include: Agent neurocomputing techniques for facial expression recognition Computing haptic motion and ontology epistemic Characterizations of morph schemas for visual analytics Learning and perceptive computing Functional and structural neuroimaging modeling Observed links between facial recognition and affective emotional processes Interaction of cognitive and emotional processes during social decision-making Neurocognitive processing of emotional facial expressions in individuals Neurocognitive affective system for emotive robot androids Virtual reality-based affect adaptive neuromorphic computing Executive surveys indicate that cognitive adoption is very important in business strategy for success and to remain competitive. Employing cognitive-based processes provides the way to get the right information in the right hands at the right time, which is the key to winning in the digital era and to driving business value that emphasizes competitive differentiation. Several chapters of the volume address the goal of using cognitive technology to improve search capabilities, to provide personalized customer service in business and in health and wellness, and to create better workflow management. Key features: Looks at the newest frontiers on very popular AI and analytics topics Discusses new techniques for visual analytics and data filtering Shows how AI and cognitive science merges with quantum neurocognitive computing Presents ontology models with ontology preservation data filtering techniques Provides a cross-transposition on AI and digitizations for business model innovations Artificial Intelligence and Computing Logic: Cognitive Technology for AI Business Analytics is a valuable resource that informs businesses and other enterprises the value of artificial intelligence and computing logic applications.
Publisher: CRC Press
ISBN: 1000400905
Category : Computers
Languages : en
Pages : 276
Book Description
Focusing on the cutting-edge applications of AI cognitive computing from neuromorphic to quantum cognition as applied to AI business analytics, this new volume explores AI’s importance in managing cognitive processes along with ontological modeling concepts for venturing into new business frontiers. The volume presents a selection of significant new accomplishments in the areas of AI cognitive computing ranging from neurocognition perception and decision-making in the human brain—combining neurocognitive techniques and effective computing—to basic facial recognition computing models. Topics include: Agent neurocomputing techniques for facial expression recognition Computing haptic motion and ontology epistemic Characterizations of morph schemas for visual analytics Learning and perceptive computing Functional and structural neuroimaging modeling Observed links between facial recognition and affective emotional processes Interaction of cognitive and emotional processes during social decision-making Neurocognitive processing of emotional facial expressions in individuals Neurocognitive affective system for emotive robot androids Virtual reality-based affect adaptive neuromorphic computing Executive surveys indicate that cognitive adoption is very important in business strategy for success and to remain competitive. Employing cognitive-based processes provides the way to get the right information in the right hands at the right time, which is the key to winning in the digital era and to driving business value that emphasizes competitive differentiation. Several chapters of the volume address the goal of using cognitive technology to improve search capabilities, to provide personalized customer service in business and in health and wellness, and to create better workflow management. Key features: Looks at the newest frontiers on very popular AI and analytics topics Discusses new techniques for visual analytics and data filtering Shows how AI and cognitive science merges with quantum neurocognitive computing Presents ontology models with ontology preservation data filtering techniques Provides a cross-transposition on AI and digitizations for business model innovations Artificial Intelligence and Computing Logic: Cognitive Technology for AI Business Analytics is a valuable resource that informs businesses and other enterprises the value of artificial intelligence and computing logic applications.
Innovation Economics, Engineering and Management Handbook 2
Author: Dimitri Uzunidis
Publisher: John Wiley & Sons
ISBN: 1786307014
Category : Business & Economics
Languages : en
Pages : 338
Book Description
Innovation, in economic activity, in managerial concepts and in engineering design, results from creative activities, entrepreneurial strategies and the business climate. Innovation leads to technological, organizational and commercial changes, due to the relationships between enterprises, public institutions and civil society organizations. These innovation networks create new knowledge and contribute to the dissemination of new socio-economic and technological models, through new production and marketing methods. Innovation Economics, Engineering and Management Handbook 2 is the second of the two volumes that comprise this book. The main objectives across both volumes are to study the innovation processes in todays information and knowledge society; to analyze how links between research and business have intensified; and to discuss the methods by which innovation emerges and is managed by firms, not only from a local perspective but also a global one. The studies presented in these two volumes contribute toward an understanding of the systemic nature of innovations and enable reflection on their potential applications, in order to think about the meaning of growth and prosperity
Publisher: John Wiley & Sons
ISBN: 1786307014
Category : Business & Economics
Languages : en
Pages : 338
Book Description
Innovation, in economic activity, in managerial concepts and in engineering design, results from creative activities, entrepreneurial strategies and the business climate. Innovation leads to technological, organizational and commercial changes, due to the relationships between enterprises, public institutions and civil society organizations. These innovation networks create new knowledge and contribute to the dissemination of new socio-economic and technological models, through new production and marketing methods. Innovation Economics, Engineering and Management Handbook 2 is the second of the two volumes that comprise this book. The main objectives across both volumes are to study the innovation processes in todays information and knowledge society; to analyze how links between research and business have intensified; and to discuss the methods by which innovation emerges and is managed by firms, not only from a local perspective but also a global one. The studies presented in these two volumes contribute toward an understanding of the systemic nature of innovations and enable reflection on their potential applications, in order to think about the meaning of growth and prosperity
Digital Media and Innovation
Author: Richard A. Gershon
Publisher: Taylor & Francis
ISBN: 1003860397
Category : Business & Economics
Languages : en
Pages : 285
Book Description
This fully updated second edition explores the importance of innovation and innovative thinking for the long-term success of today’s leading media, telecommunications, and information technology companies. The book takes an in-depth look at how smart, creative companies have transformed today's digital economy by introducing unique and highly differentiated products and services. This edition provides a detailed overview of intelligent networks and analyzes disruptive business models and processes from companies involved in social media, artificial intelligence, the metaverse, smart cities, and robotics among other emerging areas. From Apple to Zoom, this book considers some of the key people, companies, and strategies that have transformed the communication industries. Exploring the power of good ideas, this book goes inside the creative edge and looks at what makes such companies successful over time. Digital Media and Innovation is suited to advanced undergraduate and graduate courses in media management, media industries, communication technology, and business management and innovation, and provides up-to-date research for media and business professionals.
Publisher: Taylor & Francis
ISBN: 1003860397
Category : Business & Economics
Languages : en
Pages : 285
Book Description
This fully updated second edition explores the importance of innovation and innovative thinking for the long-term success of today’s leading media, telecommunications, and information technology companies. The book takes an in-depth look at how smart, creative companies have transformed today's digital economy by introducing unique and highly differentiated products and services. This edition provides a detailed overview of intelligent networks and analyzes disruptive business models and processes from companies involved in social media, artificial intelligence, the metaverse, smart cities, and robotics among other emerging areas. From Apple to Zoom, this book considers some of the key people, companies, and strategies that have transformed the communication industries. Exploring the power of good ideas, this book goes inside the creative edge and looks at what makes such companies successful over time. Digital Media and Innovation is suited to advanced undergraduate and graduate courses in media management, media industries, communication technology, and business management and innovation, and provides up-to-date research for media and business professionals.
Innovation Project Management
Author: Harold Kerzner
Publisher: John Wiley & Sons
ISBN: 1119587468
Category : Business & Economics
Languages : en
Pages : 576
Book Description
Actionable tools, processes and metrics for successfully managing innovation projects Conventional project management methods are oftentimes insufficient for managing innovation projects. Innovation is lost under the pre-determined scope and forecasted environments of traditional project management. There is tremendous pressure on organizations to innovate, and the project managers responsible for managing these innovation projects do not have the training or tools to do their jobs effectively. Innovation Project Management provides the tools, insights, and metrics needed to successfully manage innovation projects—helping readers identify problems in their organization, conceive elegant solutions, and, when necessary, promote changes to their organizational culture. There are several kinds of innovation—ranging from incremental changes to existing products to wholly original processes that emerge from market-disrupting new technology—that possess different characteristics and often require different tools. Best-selling author and project management expert Harold Kerzner integrates innovation, project management, and strategic planning to offer students and practicing professionals the essential tools and processes to analyze innovation from all sides. Innovation Project Management deconstructs traditional project management methods and explains why and how innovation projects should be managed differently. This invaluable resource: Provides practical advice and actionable tools for effectively managing innovation projects Offers value-based project management metrics and guidance on how to establish a metrics management program Shares exclusive insights from project managers at world-class organizations such as Airbus, Boeing, Hitachi, IBM, and Siemens on how they manage innovation projects Explores a variety of types of innovation including co-creation, value-driven, agile, open versus closed, and more Instructors have access to PowerPoint lecture slides by chapter through the book’s companion website Innovation Project Management: Methods, Case Studies, and Tools for Managing Innovation Projects is an essential text for professional project managers, corporate managers, innovation team members, as well as students in project management, innovation and entrepreneurship programs.
Publisher: John Wiley & Sons
ISBN: 1119587468
Category : Business & Economics
Languages : en
Pages : 576
Book Description
Actionable tools, processes and metrics for successfully managing innovation projects Conventional project management methods are oftentimes insufficient for managing innovation projects. Innovation is lost under the pre-determined scope and forecasted environments of traditional project management. There is tremendous pressure on organizations to innovate, and the project managers responsible for managing these innovation projects do not have the training or tools to do their jobs effectively. Innovation Project Management provides the tools, insights, and metrics needed to successfully manage innovation projects—helping readers identify problems in their organization, conceive elegant solutions, and, when necessary, promote changes to their organizational culture. There are several kinds of innovation—ranging from incremental changes to existing products to wholly original processes that emerge from market-disrupting new technology—that possess different characteristics and often require different tools. Best-selling author and project management expert Harold Kerzner integrates innovation, project management, and strategic planning to offer students and practicing professionals the essential tools and processes to analyze innovation from all sides. Innovation Project Management deconstructs traditional project management methods and explains why and how innovation projects should be managed differently. This invaluable resource: Provides practical advice and actionable tools for effectively managing innovation projects Offers value-based project management metrics and guidance on how to establish a metrics management program Shares exclusive insights from project managers at world-class organizations such as Airbus, Boeing, Hitachi, IBM, and Siemens on how they manage innovation projects Explores a variety of types of innovation including co-creation, value-driven, agile, open versus closed, and more Instructors have access to PowerPoint lecture slides by chapter through the book’s companion website Innovation Project Management: Methods, Case Studies, and Tools for Managing Innovation Projects is an essential text for professional project managers, corporate managers, innovation team members, as well as students in project management, innovation and entrepreneurship programs.