Demystifying The Engineering Phd

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Demystifying the Engineering PhD

Demystifying the Engineering PhD
  • Author : Monica Cox
  • Publisher : Academic Press
  • Release Date : 2019-11-16
  • Total pages : 202
  • ISBN : 9780128016039
  • File Size : 31,6 Mb
  • Total Download : 468

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Demystifying the Engineering Ph.D. explores what it means to be an engineering Ph.D. holder, including insights from engineering professionals working in academia and industry across multiple institute types and companies. Topics covered include motivations for obtaining a Ph.D., the added value of a Ph.D., and career options for Ph.D. holders. The book concludes with recommendations for transforming engineering doctoral education to preparing doctoral students for diverse careers in industry and academia. Helps readers gain insights into diverse engineering work environments and explores ways to transition across engineering sectors and careers Presents real-world experiences of engineering Ph.D.'s working in academia, industry, government and other non-traditional areas Discusses how to communicate your work to a variety of audiences

Demystifying Dissertation Writing

Demystifying Dissertation Writing
  • Author : Peg Boyle Single
  • Publisher : Stylus Publishing, LLC
  • Release Date : 2011-06-30
  • Total pages : 192
  • ISBN : 9781579226862
  • File Size : 21,5 Mb
  • Total Download : 816

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Research shows that five strategies correlate with the successful completion of a dissertation: Establishing a consistent writing routine Working with a support group Consulting your advisor Understanding your committee’s expectations Setting a realistic and timely schedule Building on these insights, this book is for anyone who needs help in preparing for, organizing, planning, scheduling, and writing the longest sustained writing project they have encountered, particularly if he or she is not receiving sufficient guidance about the process, but also for anyone looking to boost his or her writing productivity. The author uncovers much tacit knowledge, provides advice on working with dissertation advisors and committee members, presents proven techniques for the prewriting and writing stages of the dissertation, sets out a system for keeping on schedule, and advocates enlisting peer support. As Peg Boyle Single states, “my goal is quite simple and straightforward: for you to experience greater efficiency and enjoyment while writing. If you experience anxiety, blocking, impatience, perfectionism or procrastination when you write, then this system is for you. I want you to be able to complete your writing so that you can move on with the rest of your life.” Few scholars, let alone graduate students, have been taught habits of writing fluency and productivity. The writing skills imparted by this book will not only help the reader through the dissertation writing process, but will serve her or him in whatever career she or he embarks on, given the paramount importance of written communication, especially in the academy. This book presents a system of straightforward and proven techniques that are used by productive writers, and applies them to the dissertation process. In particular, it promotes the concept of writing networks – whether writing partners or groups – to ensure that writing does not become an isolated and tortured process, while not hiding the need for persistence and sustained effort. This book is intended for graduate students and their advisers in the social sciences, the humanities, and professional fields. It can further serve as a textbook for either informal writing groups led by students or for formal writing seminars offered by departments or graduate colleges. The techniques described will help new faculty advice their students more effectively and even achieve greater fluency in their own writing.

Demystifying AI for the Enterprise

Demystifying AI for the Enterprise
  • Author : Prashant Natarajan,Bob Rogers,Edward Dixon,Jonas Christensen,Kirk Borne,Leland Wilkinson,Shantha Mohan
  • Publisher : CRC Press
  • Release Date : 2021-12-31
  • Total pages : 434
  • ISBN : 9781351032926
  • File Size : 20,8 Mb
  • Total Download : 891

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Artificial intelligence (AI) in its various forms –– machine learning, chatbots, robots, agents, etc. –– is increasingly being seen as a core component of enterprise business workflow and information management systems. The current promise and hype around AI are being driven by software vendors, academic research projects, and startups. However, we posit that the greatest promise and potential for AI lies in the enterprise with its applications touching all organizational facets. With increasing business process and workflow maturity, coupled with recent trends in cloud computing, datafication, IoT, cybersecurity, and advanced analytics, there is an understanding that the challenges of tomorrow cannot be solely addressed by today’s people, processes, and products. There is still considerable mystery, hype, and fear about AI in today’s world. A considerable amount of current discourse focuses on a dystopian future that could adversely affect humanity. Such opinions, with understandable fear of the unknown, don’t consider the history of human innovation, the current state of business and technology, or the primarily augmentative nature of tomorrow’s AI. This book demystifies AI for the enterprise. It takes readers from the basics (definitions, state-of-the-art, etc.) to a multi-industry journey, and concludes with expert advice on everything an organization must do to succeed. Along the way, we debunk myths, provide practical pointers, and include best practices with applicable vignettes. AI brings to enterprise the capabilities that promise new ways by which professionals can address both mundane and interesting challenges more efficiently, effectively, and collaboratively (with humans). The opportunity for tomorrow’s enterprise is to augment existing teams and resources with the power of AI in order to gain competitive advantage, discover new business models, establish or optimize new revenues, and achieve better customer and user satisfaction.

Demystifying Numerical Models

Demystifying Numerical Models
  • Author : John Mo,Sherman Cheung,Raj Das
  • Publisher : Butterworth-Heinemann
  • Release Date : 2018-09-17
  • Total pages : 274
  • ISBN : 9780081017562
  • File Size : 9,6 Mb
  • Total Download : 180

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Demystifying Numerical Models: Step-by Step Modeling of Engineering Systems is the perfect guide on the analytic concepts of engineering components and systems. In simplified terms, the book focuses on engineering characteristics and behaviors using numerical methods. Readers will learn how the computational aspects of engineering analysis can be applied to develop various engineering systems to a level that is fit for implementation. Provides numerical examples and graphical representations of complex mathematical models Includes downloadable spreadsheets of the numerical tools discussed that allow the reader to gain a hands-on understanding of how they work Explains the engineering foundations behind the increasingly widespread and complex numerical models

Demystifying Big Data, Machine Learning, and Deep Learning for Healthcare Analytics

Demystifying Big Data, Machine Learning, and Deep Learning for Healthcare Analytics
  • Author : Pradeep N,Sandeep Kautish,Sheng-Lung Peng
  • Publisher : Academic Press
  • Release Date : 2021-06-25
  • Total pages : 372
  • ISBN : 9780128220443
  • File Size : 50,8 Mb
  • Total Download : 749

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Demystifying Big Data, Machine Learning, and Deep Learning for Healthcare Analytics presents the changing world of data utilization, especially in clinical healthcare. Various techniques, methodologies, and algorithms are presented in this book to organize data in a structured manner that will assist physicians in the care of patients and help biomedical engineers and computer scientists understand the impact of these techniques on healthcare analytics. The book is divided into two parts: Part 1 covers big data aspects such as healthcare decision support systems and analytics-related topics. Part 2 focuses on the current frameworks and applications of deep learning and machine learning, and provides an outlook on future directions of research and development. The entire book takes a case study approach, providing a wealth of real-world case studies in the application chapters to act as a foundational reference for biomedical engineers, computer scientists, healthcare researchers, and clinicians. Provides a comprehensive reference for biomedical engineers, computer scientists, advanced industry practitioners, researchers, and clinicians to understand and develop healthcare analytics using advanced tools and technologies Includes in-depth illustrations of advanced techniques via dataset samples, statistical tables, and graphs with algorithms and computational methods for developing new applications in healthcare informatics Unique case study approach provides readers with insights for practical clinical implementation


  • Author : Pamela Felder Small,Marco J. Barker,Marybeth Gasman
  • Publisher : State University of New York Press
  • Release Date : 2020-08-01
  • Total pages : 242
  • ISBN : 9781438478012
  • File Size : 31,5 Mb
  • Total Download : 639

Download Sankofa in PDF, Epub, and Kindle

Explores the complex interplay of race and culture in the doctoral experiences of African American students. Sankofa reexamines doctoral education through the lens of African American and Black experiences. Drawing on the African diasporic legacy of Sankofa and the notion that "it is not wrong to go back for that which you have forgotten," the contributors "go back" to address legacies of exclusion in higher education and take care to center and honor the contributions of historically marginalized doctoral students. Whereas earlier studies focused largely on socialization, departmental norms, and statistical portraits of doctoral degree attachment, this book illuminates the ways African American students encounter, navigate, and make sense of their doctoral experiences and especially the impact of race and culture on those experiences. Individual chapters look at STEM programs, the intersections of race and gender, the role of HBCUs, and students' relationships with faculty and advisors. Amid growing diversity across programs and institutions, Sankofa provides a critical model for applying culturally based frameworks in educational research, as well as practical strategies for better understanding and responding to the needs of students of color in predominantly White contexts. Pamela Felder Small is an Independent Scholar, Consultant and Founder of #BlackDoctoratesMatter. Marco J. Barker is Vice Chancellor for Diversity and Inclusion and Associate Professor of Practice in Educational Administration at the University of Nebraska–Lincoln. Marybeth Gasman is Samuel DeWitt Proctor Endowed Chair in Education and Distinguished Professor at Rutgers University–New Brunswick.

Integrated Computational Materials Engineering (ICME) for Metals

Integrated Computational Materials Engineering (ICME) for Metals
  • Author : Mark F. Horstemeyer
  • Publisher : John Wiley & Sons
  • Release Date : 2018-03-01
  • Total pages : 688
  • ISBN : 9781119018384
  • File Size : 11,9 Mb
  • Total Download : 882

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Focuses entirely on demystifying the field and subject of ICME and provides step-by-step guidance on its industrial application via case studies This highly-anticipated follow-up to Mark F. Horstemeyer’s pedagogical book on Integrated Computational Materials Engineering (ICME) concepts includes engineering practice case studies related to the analysis, design, and use of structural metal alloys. A welcome supplement to the first book—which includes the theory and methods required for teaching the subject in the classroom—Integrated Computational Materials Engineering (ICME) For Metals: Concepts and Case Studies focuses on engineering applications that have occurred in industries demonstrating the ICME methodologies, and aims to catalyze industrial diffusion of ICME technologies throughout the world. The recent confluence of smaller desktop computers with enhanced computing power coupled with the emergence of physically-based material models has created the clear trend for modeling and simulation in product design, which helped create a need to integrate more knowledge into materials processing and product performance. Integrated Computational Materials Engineering (ICME) For Metals: Case Studies educates those seeking that knowledge with chapters covering: Body Centered Cubic Materials; Designing An Interatomic Potential For Fe-C Alloys; Phase-Field Crystal Modeling; Simulating Dislocation Plasticity in BCC Metals by Integrating Fundamental Concepts with Macroscale Models; Steel Powder Metal Modeling; Hexagonal Close Packed Materials; Multiscale Modeling of Pure Nickel; Predicting Constitutive Equations for Materials Design; and more. Presents case studies that connect modeling and simulation for different materials' processing methods for metal alloys Demonstrates several practical engineering problems to encourage industry to employ ICME ideas Introduces a new simulation-based design paradigm Provides web access to microstructure-sensitive models and experimental database Integrated Computational Materials Engineering (ICME) For Metals: Case Studies is a must-have book for researchers and industry professionals aiming to comprehend and employ ICME in the design and development of new materials.

Demystifying Switched Capacitor Circuits

Demystifying Switched Capacitor Circuits
  • Author : Mingliang Liu,Michael Liu
  • Publisher : Unknown
  • Release Date : 2006
  • Total pages : 317
  • ISBN : 9780750679077
  • File Size : 10,5 Mb
  • Total Download : 850

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Make your designs more power-efficient with this intuitive approach to switched-capacitor circuits!

Artificial Intelligence, Machine Learning, and Data Science Technologies

Artificial Intelligence, Machine Learning, and Data Science Technologies
  • Author : Neeraj Mohan,Ruchi Singla,Priyanka Kaushal,Seifedine Kadry
  • Publisher : CRC Press
  • Release Date : 2021-10-12
  • Total pages : 310
  • ISBN : 9781000460544
  • File Size : 54,8 Mb
  • Total Download : 263

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This book provides a comprehensive, conceptual, and detailed overview of the wide range of applications of Artificial Intelligence, Machine Learning, and Data Science and how these technologies have an impact on various domains such as healthcare, business, industry, security, and how all countries around the world are feeling this impact. The book aims at low-cost solutions which could be implemented even in developing countries. It highlights the significant impact these technologies have on various industries and on us as humans. It provides a virtual picture of forthcoming better human life shadowed by the new technologies and their applications and discusses the impact Data Science has on business applications. The book will also include an overview of the different AI applications and their correlation between each other. The audience is graduate and postgraduate students, researchers, academicians, institutions, and professionals who are interested in exploring key technologies like Artificial Intelligence, Machine Learning, and Data Science.

Operations Research and Enterprise Systems

Operations Research and Enterprise Systems
  • Author : Begoña Vitoriano,Greg H. Parlier
  • Publisher : Springer
  • Release Date : 2017-02-14
  • Total pages : 261
  • ISBN : 9783319539829
  • File Size : 46,9 Mb
  • Total Download : 656

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This book constitutes revised selected papers from the 5th International Conference on Operations Research and Enterprise Systems, ICORES 2016, held in Rome, Italy, in February 2016. The 14 papers presented in this volume were carefully reviewed and selection from a total of 75 submissions. They are organized in topical sections named: methodologies and technologies; and applications.

Demystifying Big Data and Machine Learning for Healthcare

Demystifying Big Data and Machine Learning for Healthcare
  • Author : Prashant Natarajan,John C. Frenzel,Detlev H. Smaltz
  • Publisher : CRC Press
  • Release Date : 2017-02-15
  • Total pages : 233
  • ISBN : 9781315389301
  • File Size : 33,7 Mb
  • Total Download : 571

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Healthcare transformation requires us to continually look at new and better ways to manage insights – both within and outside the organization today. Increasingly, the ability to glean and operationalize new insights efficiently as a byproduct of an organization’s day-to-day operations is becoming vital to hospitals and health systems ability to survive and prosper. One of the long-standing challenges in healthcare informatics has been the ability to deal with the sheer variety and volume of disparate healthcare data and the increasing need to derive veracity and value out of it. Demystifying Big Data and Machine Learning for Healthcare investigates how healthcare organizations can leverage this tapestry of big data to discover new business value, use cases, and knowledge as well as how big data can be woven into pre-existing business intelligence and analytics efforts. This book focuses on teaching you how to: Develop skills needed to identify and demolish big-data myths Become an expert in separating hype from reality Understand the V’s that matter in healthcare and why Harmonize the 4 C’s across little and big data Choose data fi delity over data quality Learn how to apply the NRF Framework Master applied machine learning for healthcare Conduct a guided tour of learning algorithms Recognize and be prepared for the future of artificial intelligence in healthcare via best practices, feedback loops, and contextually intelligent agents (CIAs) The variety of data in healthcare spans multiple business workflows, formats (structured, un-, and semi-structured), integration at point of care/need, and integration with existing knowledge. In order to deal with these realities, the authors propose new approaches to creating a knowledge-driven learning organization-based on new and existing strategies, methods and technologies. This book will address the long-standing challenges in healthcare informatics and provide pragmatic recommendations on how to deal with them.

Demystifying Disability

Demystifying Disability
  • Author : Emily Ladau
  • Publisher : Ten Speed Press
  • Release Date : 2021-09-07
  • Total pages : 177
  • ISBN : 9781984858979
  • File Size : 18,6 Mb
  • Total Download : 673

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An approachable guide to being a thoughtful, informed ally to disabled people, with actionable steps for what to say and do (and what not to do) and how you can help make the world a more inclusive place ONE OF THE BEST BOOKS OF THE YEAR: NPR, Booklist • “A candid, accessible cheat sheet for anyone who wants to thoughtfully join the conversation . . . Emily makes the intimidating approachable and the complicated clear.”—Rebekah Taussig, author of Sitting Pretty: The View from My Ordinary, Resilient, Disabled Body People with disabilities are the world’s largest minority, an estimated 15 percent of the global population. But many of us—disabled and nondisabled alike—don’t know how to act, what to say, or how to be an ally to the disability community. Demystifying Disability is a friendly handbook on the important disability issues you need to know about, including: • How to appropriately think, talk, and ask about disability • Recognizing and avoiding ableism (discrimination toward disabled people) • Practicing good disability etiquette • Ensuring accessibility becomes your standard practice, from everyday communication to planning special events • Appreciating disability history and identity • Identifying and speaking up about disability stereotypes in media Authored by celebrated disability rights advocate, speaker, and writer Emily Ladau, this practical, intersectional guide offers all readers a welcoming place to understand disability as part of the human experience. Praise for Demystifying Disability “Whether you have a disability, or you are non-disabled, Demystifying Disability is a MUST READ. Emily Ladau is a wise spirit who thinks deeply and writes exquisitely.”—Judy Heumann, international disability rights advocate and author of Being Heumann “Emily Ladau has done her homework, and Demystifying Disability is her candid, accessible cheat sheet for anyone who wants to thoughtfully join the conversation. A teacher who makes you forget you’re learning, Emily makes the intimidating approachable and the complicated clear. This book is a generous and needed gift.”—Rebekah Taussig, author of Sitting Pretty: The View from My Ordinary Resilient Disabled Body

The Digital Transformation of Logistics

The Digital Transformation of Logistics
  • Author : Mac Sullivan,Johannes Kern
  • Publisher : John Wiley & Sons
  • Release Date : 2021-03-30
  • Total pages : 480
  • ISBN : 9781119646396
  • File Size : 9,8 Mb
  • Total Download : 709

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The digital transformation is in full swing and fundamentally changes how we live, work, and communicate with each other. From retail to finance, many industries see an inflow of new technologies, disruption through innovative platform business models, and employees struggling to cope with the significant shifts occurring. This Fourth Industrial Revolution is predicted to also transform Logistics and Supply Chain Management, with delivery systems becoming automated, smart networks created everywhere, and data being collected and analyzed universally. The Digital Transformation of Logistics: Demystifying Impacts of the Fourth Industrial Revolution provides a holistic overview of this vital subject clouded by buzz, hype, and misinformation. The book is divided into three themed-sections: Technologies such as self-driving cars or virtual reality are not only electrifying science fiction lovers anymore, but are also increasingly presented as cure-all remedies to supply chain challenges. In The Digital Transformation of Logistics: Demystifying Impacts of the Fourth Industrial Revolution, the authors peel back the layers of excitement that have grown around new technologies such as the Internet of Things (IoT), 3D printing, Robotic Process Automation (RPA), Blockchain or Cloud computing, and show use cases that give a glimpse about the fascinating future we can expect. Platforms that allow businesses to centrally acquire and manage their logistics services disrupt an industry that has been relationship-based for centuries. The authors discuss smart contracts, which are one of the most exciting applications of Blockchain, Software as a Service (SaaS) offerings for freight procurement, where numerous data sources can be integrated and decision-making processes automated, and marine terminal operating systems as an integral node for shipments. In The Digital Transformation of Logistics: Demystifying Impacts of the Fourth Industrial Revolution, insights are shared into the cold chain industry where companies respond to increasing quality demands, and how European governments are innovatively responding to challenges of cross-border eCommerce. People are a vital element of the digital transformation and must be on board to drive change. The Digital Transformation of Logistics: Demystifying Impacts of the Fourth Industrial Revolution explains how executives can create sustainable impact and how competencies can be managed in the digital age - especially for sales executives who require urgent upskilling to remain relevant. Best practices are shared for organizational culture change, drawing on studies among senior leaders from the US, Singapore, Thailand, and Australia, and for managing strategic alliances with logistics service providers to offset risks and create cross-functional, cross-company transparency. The Digital Transformation of Logistics: Demystifying Impacts of the Fourth Industrial Revolution provides realistic insights, a ready-to-use knowledge base, and a working vocabulary about current activities and emerging trends of the Logistics industry. Intended readers are supply chain professionals working for manufacturing, trading, and freight forwarding companies as well as students and all interested parties.

Biotechnology Demystified

Biotechnology Demystified
  • Author : Sharon Walker
  • Publisher : McGraw Hill Professional
  • Release Date : 2006-01-05
  • Total pages : 276
  • ISBN : 9780071490498
  • File Size : 9,5 Mb
  • Total Download : 313

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This self-teaching guide explains the basic concepts and fundamentals in all the major subtopics of biotechnology. The content advances logically from the basics of molecular and cellular biology to more complex topics such as DNA, reproductive cloning, experimental procedures, infectious diseases, immunology, the Human Genome Project, new drug discoveries, and genetic disorders.

Demystifying China's Innovation Machine

Demystifying China's Innovation Machine
  • Author : Marina Zhang,Mark Dodgson,David Gann
  • Publisher : Oxford University Press
  • Release Date : 2022-01-07
  • Total pages : 305
  • ISBN : 9780198861171
  • File Size : 34,6 Mb
  • Total Download : 245

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China's extraordinary economic development is explained in large part by the way it innovates. Contrary to widely held views, China's innovation machine is not created and controlled by an all-powerful government. Instead, it is a complex, interdependent system composed of various elements, involving bottom-up innovation driven by innovators and entrepreneurs and highly pragmatic and adaptive top-down policy. Using case studies of leading firms and industries, along with statistics and policy analysis, this book argues that China's innovation machine is similar to a natural ecosystem. Innovations in technology, organization, and business models resemble genetic mutations which are initially random, self-serving, and isolated, but the best fitting are selected by the market and their impacts are amplified by the innovation machine. This machine draws on China's multitude manufacturers, supply chains, innovation clusters, and digitally literate population, connected through super-sized digital platforms. China's innovation suffers from a lack of basic research and reliance upon certain critical technologies from overseas, yet its scale (size) and scope (diversity) possess attributes that make it self-correcting and stronger in the face of challenges. China's innovation machine is most effective in a policy environment where the market prevails; policy intervention plays a significant role when market mechanisms are premature or fail. The future success of China's innovation will depend on continuing policy pragmatism, mass innovation, and entrepreneurship, and the development of the 'new infrastructures'.

Demystifying Graph Data Science

Demystifying Graph Data Science
  • Author : Pethuru Raj,Abhishek Kumar,Vicente García Díaz,Nachamai Muthuraman
  • Publisher : IET
  • Release Date : 2022-11-28
  • Total pages : 414
  • ISBN : 9781839534881
  • File Size : 12,6 Mb
  • Total Download : 712

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Graph analytics are being empowered through novel analytics techniques to explore and pinpoint beneficial relationships between different entities such as organizations, people and transactions. This edited book presents the various aspects and importance of graph data science, with contributions by authors from academia and industry.

Energy-Efficient Distributed Computing Systems

Energy-Efficient Distributed Computing Systems
  • Author : Albert Y. Zomaya,Young Choon Lee
  • Publisher : John Wiley & Sons
  • Release Date : 2012-07-26
  • Total pages : 856
  • ISBN : 9781118342008
  • File Size : 54,7 Mb
  • Total Download : 253

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The energy consumption issue in distributed computing systemsraises various monetary, environmental and system performanceconcerns. Electricity consumption in the US doubled from 2000to 2005. From a financial and environmental standpoint,reducing the consumption of electricity is important, yet thesereforms must not lead to performance degradation of the computingsystems. These contradicting constraints create a suite ofcomplex problems that need to be resolved in order to lead to'greener' distributed computing systems. This book bringstogether a group of outstanding researchers that investigate thedifferent facets of green and energy efficient distributedcomputing. Key features: One of the first books of its kind Features latest research findings on emerging topics bywell-known scientists Valuable research for grad students, postdocs, andresearchers Research will greatly feed into other technologies andapplication domains

Big Data Demystified

Big Data Demystified
  • Author : David Stephenson
  • Publisher : FT Press
  • Release Date : 2018-02-12
  • Total pages : 240
  • ISBN : 129221810X
  • File Size : 15,8 Mb
  • Total Download : 361

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Big Data is a big topic, based on simple principles. Guided by leading expert in the field, David Stephenson, you will be amazed at how you can transform your company, and significantly improve KPIs across a broad range of business units and applications. Find out how an ecommerce company avoided two million product returns per year, how a newspaper saw triple-digit annual growth in digital subscriptions, how researchers in England learned to better detect pending cardiovascular problems, and how AI programs taught themselves to win games using techniques that even their human programmers didn't understand, all thanks to big data. Find out also how one company realized it could swap a million dollar hardware system with a twenty thousand dollar replacement. With simple and straightforward chapters that allow you to map examples onto your own business, Big Data Demystified will help you: · Know which data is most useful to collect now and why it's important to start collecting that data as soon as possible. · Understand big data and data science and how they can help you reach your business goals and gain competitive advantage. · Use big data to understand where you are now and how you can improve in the future. · Understand factors in choosing a big data system, including whether to go with cloud-based solutions. · Construct your big data team in a way that supports an effective strategy and helps make your business more data-driven. BIG DATA MAKES A BIG DIFFERENCE "Read this book! It is an essential guide to using data in a practical way that drives results." Ian McHenry, CEO Beyond Pricing "This is the book we've been missing: big data explained without the complexity." Marc Salomon, Professor in Decision Sciences and Dean at University of Amsterdam Business School "Big Data for the rest of us! I have never come across a book that is so full of practical advice, actionable examples and helpful explanations. Read this one book and start executing Big Data at your workplace tomorrow!" Tobias Wann CEO at @Leisure Group

Innovation Renaissance

Innovation Renaissance
  • Author : John E. Ettlie
  • Publisher : Routledge
  • Release Date : 2019-12-18
  • Total pages : 182
  • ISBN : 9780429688621
  • File Size : 34,9 Mb
  • Total Download : 190

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Innovation is not easy. Understanding the liability of newness but the potential for greatness is the central theme of this work. Innovation Renaissance explores and debunks the myths that have arisen from the proliferation of misleading and often confusing popular press treatments of creativity and innovation. Examples include the notion that successful entrepreneurs are winners because they are innovative—whereas creativity and business start-up acumen are not the same, and are rarely paired—or the idea of disruptive technology, which has now become the buzzword equivalent to radical new technology products or services, despite the fact that new technologies tend to offer simple, limited-capability products or services to satisfy overlooked customer demand. The popularity of open innovation has spawned assumptions, like the idea that crowdsourcing will increase the number of truly new ideas—but in fact the more novel these ideas, the less likely they are to be adopted by incumbent firms because they are less familiar. Starting by defining innovation and the theories that have arisen surrounding it, Ettlie considers individual creativity and innovativeness, radical innovation, new products, new services, process innovation, and information technology. There is special emphasis on neglected topics such as the dark side of the innovation process—the unintended consequences of new ventures. Finally, the last chapter of the book summarizes a prescriptive model of the innovation process and attempts to answer the question: what causes innovation? Three major constructs are explored: leadership, enhancing capabilities and integration. This informative and unique text is designed as a resource for postgraduate students, academics, and professionals deeply committed to understanding and working through the innovation process. The book includes an introduction to the subject before moving on to an in-depth study of emerging evidence and topics in the field.

Organizational Auditing and Assurance in the Digital Age

Organizational Auditing and Assurance in the Digital Age
  • Author : Marques, Rui Pedro,Santos, Carlos,Inácio, Helena
  • Publisher : IGI Global
  • Release Date : 2019-02-15
  • Total pages : 404
  • ISBN : 9781522573579
  • File Size : 33,5 Mb
  • Total Download : 192

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Auditing is constantly and quickly changing due to the continuous evolution of information and communication technologies. As the auditing process is forced to adapt to these changes, issues have arisen that lead to a decrease in the auditing effectiveness and efficiency, leading to a greater dissatisfaction among users. More research is needed to provide effective management and mitigation of the risk associated to organizational transactions and to assign a more reliable and accurate character to the execution of business transactions and processes. Organizational Auditing and Assurance in the Digital Age is an essential reference source that discusses challenges, identifies opportunities, and presents solutions in relation to issues in auditing, information systems auditing, and assurance services and provides best practices for ensuring accountability, accuracy, and transparency. Featuring research on topics such as forensic auditing, financial services, and corporate governance, this book is ideally designed for internal and external auditors, assurance providers, managers, risk managers, academicians, professionals, and students.

Signals & Systems Demystified

Signals & Systems Demystified
  • Author : David McMahon
  • Publisher : McGraw Hill Professional
  • Release Date : 2006-09-06
  • Total pages : 302
  • ISBN : 0071712224
  • File Size : 30,8 Mb
  • Total Download : 775

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The fast and easy way to learn signals and systems Get a working knowledge of signal processing and systems--even if you don't have formal training, unlimited time, or a genius IQ. Signals and Systems Demystified offers an effective, illuminating, and entertaining way to learn this essential electrical engineering subject. First, you'll learn methods used to calculate energy and power in signals. Next, you'll study signals in the frequency domain using Fourier analysis. Other topics covered include amplitude, frequency, and phase modulation, spectral analysis, convolution, the Laplace transform, and the z-transform. Packed with hundreds of sample equations and explained solutions, and featuring end-of-chapter quizzes and a final exam, this book will teach you the fundamentals of signals and systems in no time at all. Simple enough for a beginner, but challenging enough for an advanced student, Signals and Systems Demystified is your shortcut to mastering this complex subject. This hands-on, self-teaching text offers: An easy way to understand signal processing and systems Hundreds of worked examples with solutions A quiz at the end of each chapter to reinforce learning and pinpoint weaknesses A final exam at the end of the book No unnecessary technical jargon A time-saving approach to performing better on an exam or at work!