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Innovation and Collaboration in the Digital Era : The Role of Emotional Intelligence for Innovation Leadership and Collaborative Innovation
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
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How to Think More Effectively : a guide to greater productivity, insight and creativity
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Dynamic Efficiency and Productivity Measurement
A systematic treatment of dynamic decision making and performance measurementModern business environments are dynamic.Yet, the models used to make decisions and quantify success within them are stuck in the past.In a world where demands, resources, and technology are interconnected and evolving, measures of efficiency need to reflect that environment. In Dynamic Efficiency and Productivity Measurement, Elvira Silva, Spiro E.Stefanou, and Alfons Oude Lansink look at the business process from a dynamic perspective.Their systematic study covers dynamic production environments where current production decisions impact future production possibilities.By considering practical factors like adjustments over time, this book offers an important lens for contemporary microeconomic analysis.Silva, Stefanou, and Lansink develop the analytical foundations of dynamic production technology in both primal and dual representations, with an emphasis on directional distance functions.They cover concepts measuring the production structure (economies of scale, economies of scope, capacity utilization) and performance (allocative, scale and technical inefficiency, productivity) in a methodological and comprehensive way. Through a unified approach, Dynamic Efficiency and Productivity Measurement offers a guide to how firms maximize potential in changing environments and an invaluable contribution to applied microeconomics.
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Can economic efficiency and productivity develop mutually?
Yes, economic efficiency and productivity can develop mutually. When businesses and industries become more efficient in their operations, they can produce more output with the same amount of input, leading to increased productivity. Similarly, when productivity increases, it can drive economic efficiency by reducing waste and improving resource allocation. Therefore, as businesses and industries focus on improving efficiency and productivity, they can reinforce and support each other's development.
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What is the difference between efficiency and productivity?
Efficiency refers to how well resources are utilized to achieve a specific goal or output, while productivity measures the output or results generated from a specific amount of input or resources. Efficiency focuses on minimizing waste and maximizing output with the resources available, while productivity is a measure of how much output is produced relative to the input used. In essence, efficiency is about doing things right, while productivity is about doing the right things.
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What are the connections between efficiency and productivity?
Efficiency and productivity are closely connected in that efficiency refers to the ability to accomplish a task with minimal waste, effort, or cost, while productivity refers to the rate at which goods or services are produced. When a process or system is efficient, it can lead to increased productivity because it allows for more output to be generated with the same amount of input. Conversely, when productivity is high, it often indicates that the resources and processes are being used efficiently. Therefore, improving efficiency can lead to increased productivity, and vice versa, as they both contribute to the overall effectiveness of a business or organization.
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Does increasing productivity lead to higher economic efficiency?
Yes, increasing productivity can lead to higher economic efficiency. When a company or economy can produce more output with the same input of resources, it can lead to lower production costs and higher profits. This can also lead to lower prices for consumers, which can increase overall economic welfare. Additionally, higher productivity can lead to increased competitiveness in the global market, which can further contribute to economic efficiency.
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Artificial Intelligence Assisted Structural Optimization
Artificial Intelligence Assisted Structural Optimization explores the use of machine learning and correlation analysis within the forward design and inverse design frameworks to design and optimize lightweight load bearing structures as well as mechanical metamaterials. Discussing both machine learning and design analysis in detail, this book enables readers to optimize their designs using a data driven approach.This book discusses the basics of the materials utilized, for example shape memory polymers, and the manufacturing approach employed, such as 3D or 4D printing.Additionally, the book discusses the use of forward design and inverse design frameworks to discover novel lattice unit cells and thin-walled cellular unit cells with enhanced mechanical and functional properties such as increased mechanical strength, heightened natural frequency, strengthened impact tolerance, and improved recovery stress.Inverse design methodologies using generative adversarial networks are proposed to further investigate and improve these structures.Detailed discussions on fingerprinting approaches, machine learning models, structure screening techniques and typical Python codes are provided in the book. The book provides detailed guidance for both students and industry engineers to optimize their structural designs using machine learning.
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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/).
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Managing Change, Creativity and Innovation
This bestselling text brings a fresh and unique approach to managing organizational change, taking the view that change, creativity and innovation are interconnected.It offers a strong theoretical understanding of change, creativity and innovation along with practical guidance and ideas for organizational change and development. The fourth edition comes with:lots of brand-new case studies and examples from around the worldextra content on innovation and technologyextended discussion and an additional chapter on the people aspects of change that includes culture, sensemaking and temporalityWritten in an engaging and accessible style, this books is essential for those studying organizational change management or creativity and innovation.
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Artificial Intelligence for Business Creativity
Artificial Intelligence for Business Creativity provides an in-depth examination of the integration of Artificial Intelligence (AI) into the business sector to foster creativity.The book explores the interplay between micro-level individual creativity and macro-level organizational innovation through the lens of AI.It delves into three crucial areas where AI can stimulate business creativity: product and service design, optimized processes, and enhanced organizational collaboration.The authors also highlight the versatility and capability of generative AI systems in promoting creativity and innovation. Intended for business leaders, managers, entrepreneurs, and those interested in AI and creativity, the book offers practical guidance and insightful recommendations on how organizations can effectively utilize AI to enhance their creative process.By offering a comprehensive understanding of the role of AI in fostering creativity, the book equips its readers with the tools to stay ahead in the rapidly changing landscape of AI and creativity. This book is a valuable resource for anyone seeking to understand the impact of AI on business creativity and how to effectively leverage it to foster creativity and innovation in their organization.It is a must-read for anyone looking to increase their knowledge and understanding of AI and its impact on business creativity.
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Is creativity a form of intelligence?
Creativity can be considered a form of intelligence, as it involves the ability to think outside the box, generate original ideas, and solve problems in innovative ways. Creative individuals often demonstrate high levels of cognitive flexibility, which is a key component of intelligence. However, creativity also encompasses emotional and social intelligence, as it involves understanding and expressing oneself in unique and meaningful ways. Therefore, while creativity is a distinct form of intelligence, it also incorporates various aspects of cognitive, emotional, and social intelligence.
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What is the relationship between productivity and economic efficiency?
Productivity and economic efficiency are closely related concepts. Productivity refers to the amount of output produced per unit of input, such as labor or capital. When productivity increases, more output is produced with the same amount of input, leading to greater economic efficiency. Economic efficiency, on the other hand, refers to the optimal allocation of resources to maximize output and minimize waste. Therefore, higher productivity often leads to greater economic efficiency as resources are used more effectively to produce goods and services. Conversely, lower productivity can lead to inefficiencies in resource allocation and reduced overall economic efficiency.
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What is the difference between productivity, efficiency, and profitability?
Productivity refers to the amount of output produced per unit of input, such as time or resources. Efficiency, on the other hand, focuses on how well resources are used to achieve a specific goal or output. Profitability, meanwhile, is a measure of how efficiently a company generates profit relative to its costs and expenses. In essence, productivity is about output per input, efficiency is about resource utilization, and profitability is about the bottom line of a business.
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How do profitability, productivity, and efficiency differ from each other?
Profitability refers to the ability of a company to generate profit, which is the difference between revenue and expenses. Productivity measures the output of goods or services produced per unit of input, such as labor or capital. Efficiency, on the other hand, focuses on how well resources are utilized to achieve a specific goal, often measured by the ratio of input to output. In summary, profitability is about generating profit, productivity is about output per input, and efficiency is about maximizing output with the resources available.
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