Knowledge management Books

Book SynopsisAs we interact online we are creating new kinds of knowledge and community. How are these communities formed? How do we know whether to trust them as sources of information? In other words, Should we believe Wikipedia? This book explores what community is, what knowledge is, how the internet facilitates new kinds of community, and how knowledge is shaped through online collaboration and conversation. Along the way the author tackles issues such as how we represent ourselves online and how this shapes how we interact, why there is so much bad behavior online and what we can do about it. And the most important question of all: What can we as internet users and designers do to help the internet to bring out the best in us all?Trade Review'This book reminds us of conversations we're not having about online life - with family, friends, with our political representatives - because we don't know where to start. The Internet seems so opaque, that we don't know to get traction on our concern that it no longer serves our human needs. This welcome volume suggests entry points for designers and users - to start those necessary conversations about how to make online life serve our emotional and social purposes. Both scholarly and down-to-earth, filled with compelling examples, it is a textbook for classrooms, dinnertables, and policy discussions.' Sherry Turkle, MIT, Author of The Empathy Diaries, Reclaiming Conversation, Alone Together, and Life on the Screen'Should you believe Wikipedia? is an extremely useful book about the positive aspects of life online: supportive online communities, social construction of knowledge, online collaboration, the ways online communities can create and harvest social capital, how to safely and productively use Wikipedia, and more. With so much news and speculation about what is wrong about life online, this book from an OG participant and academic expert is a welcome and well-documented argument for all the good things life online can do. I would give it to every high school graduate.' Howard Rheingold, Author of Net Smart and The Virtual Community'Simply brilliant! Bruckman brings together abstract, sociological and psychological perspectives to articulate a science of online community design. Should You Believe Wikipedia? combines practical skills and theoretical understanding to implement and evaluate the social platforms of the future. This work sets the bar for what students of human-computer interaction need to understand and do to address the societal challenges brought by the ubiquity of online interactions.' Keith N. Hampton, Department of Media and Information, Michigan State University'From its birth, Amy Bruckman has understood and explained the Net. This book, both practical and theoretical, offers the most mature account that we have of how community online gets made and corrupted. At a moment when the hope of the Internet has faded for so many, this clear and powerful work gives us at least a path back, and a reason to pursue it.' Lawrence Lessig, Harvard Law School'Ultimately, the effect of reading Should You Believe Wikipedia? is like spending time with the smartest person you know. Bruckman is an excellent guide, and weaves together concepts from diverse sources into a coherent whole … In this excellent volume, Bruckman provides the background, philosophical tools, and encouragement to allow us to work towards a better world, and that is a gift in itself.' Andrew D. Miller, Computer Supported Cooperative Work'Educators interested in developing inclusive, socially just online learning experiences that are also informed by Internet culture and social institutions would not go wrong with Should You Believe Wikipedia? Online Communities and The Construction of Knowledge … as a place to start.' Naomi Barnes, Postdigital Science and EducationTable of ContentsAcknowledgments; Introduction; 1. Are online “communities” really communities?; 2. What can online collaboration accomplish?; 3. Should you believe Wikipedia?; 4. How does the internet change how we think?; 5. How do people express identity online, and why is this important for online interaction?; 6. What is bad online behavior, and what can we do about it?; 7. How do business models shape online communities?; 8. How can we help the internet to bring out the best in us all?

Read more less

Book SynopsisCollecting, analyzing, and extracting valuable information from a large amount of data requires easily accessible, robust, computational and analytical tools. Data Mining and Business Analytics with R utilizes the open source software R for the analysis, exploration, and simplification of large high-dimensional data sets.Trade Review"I first taught a Ph.D. level course in business applications of data mining 10 years ago. I regularly search the web, looking for business-oriented data mining books, and this is the first one I have found that is suitable for an MS in business analytics. I plan to use it. Anyone who teaches such a class and is inclined toward R should consider this text." (Journal of the American Statistical Association, 1 January 2014)Table of ContentsPreface ix Acknowledgments xi 1. Introduction 1 Reference 6 2. Processing the Information and Getting to Know Your Data 7 2.1 Example 1: 2006 Birth Data 7 2.2 Example 2: Alumni Donations 17 2.3 Example 3: Orange Juice 31 References 39 3. Standard Linear Regression 40 3.1 Estimation in R 43 3.2 Example 1: Fuel Efficiency of Automobiles 43 3.3 Example 2: Toyota Used-Car Prices 47 Appendix 3.A The Effects of Model Overfitting on the Average Mean Square Error of the Regression Prediction 53 References 54 4. Local Polynomial Regression: a Nonparametric Regression Approach 55 4.1 Model Selection 56 4.2 Application to Density Estimation and the Smoothing of Histograms 58 4.3 Extension to the Multiple Regression Model 58 4.4 Examples and Software 58 References 65 5. Importance of Parsimony in Statistical Modeling 67 5.1 How Do We Guard Against False Discovery 67 References 70 6. Penalty-Based Variable Selection in Regression Models with Many Parameters (LASSO) 71 6.1 Example 1: Prostate Cancer 74 6.2 Example 2: Orange Juice 78 References 82 7. Logistic Regression 83 7.1 Building a Linear Model for Binary Response Data 83 7.2 Interpretation of the Regression Coefficients in a Logistic Regression Model 85 7.3 Statistical Inference 85 7.4 Classification of New Cases 86 7.5 Estimation in R 87 7.6 Example 1: Death Penalty Data 87 7.7 Example 2: Delayed Airplanes 92 7.8 Example 3: Loan Acceptance 100 7.9 Example 4: German Credit Data 103 References 107 8. Binary Classification, Probabilities, and Evaluating Classification Performance 108 8.1 Binary Classification 108 8.2 Using Probabilities to Make Decisions 108 8.3 Sensitivity and Specificity 109 8.4 Example: German Credit Data 109 9. Classification Using a Nearest Neighbor Analysis 115 9.1 The k-Nearest Neighbor Algorithm 116 9.2 Example 1: Forensic Glass 117 9.3 Example 2: German Credit Data 122 Reference 125 10. The Na¨ýve Bayesian Analysis: a Model for Predicting a Categorical Response from Mostly Categorical Predictor Variables 126 10.1 Example: Delayed Airplanes 127 Reference 131 11. Multinomial Logistic Regression 132 11.1 Computer Software 134 11.2 Example 1: Forensic Glass 134 11.3 Example 2: Forensic Glass Revisited 141 Appendix 11.A Specification of a Simple Triplet Matrix 147 References 149 12. More on Classification and a Discussion on Discriminant Analysis 150 12.1 Fisher’s Linear Discriminant Function 153 12.2 Example 1: German Credit Data 154 12.3 Example 2: Fisher Iris Data 156 12.4 Example 3: Forensic Glass Data 157 12.5 Example 4: MBA Admission Data 159 Reference 160 13. Decision Trees 161 13.1 Example 1: Prostate Cancer 167 13.2 Example 2: Motorcycle Acceleration 179 13.3 Example 3: Fisher Iris Data Revisited 182 14. Further Discussion on Regression and Classification Trees, Computer Software, and Other Useful Classification Methods 185 14.1 R Packages for Tree Construction 185 14.2 Chi-Square Automatic Interaction Detection (CHAID) 186 14.3 Ensemble Methods: Bagging, Boosting, and Random Forests 188 14.4 Support Vector Machines (SVM) 192 14.5 Neural Networks 192 14.6 The R Package Rattle: A Useful Graphical User Interface for Data Mining 193 References 195 15. Clustering 196 15.1 k-Means Clustering 196 15.2 Another Way to Look at Clustering: Applying the Expectation-Maximization (EM) Algorithm to Mixtures of Normal Distributions 204 15.3 Hierarchical Clustering Procedures 212 References 219 16. Market Basket Analysis: Association Rules and Lift 220 16.1 Example 1: Online Radio 222 16.2 Example 2: Predicting Income 227 References 234 17. Dimension Reduction: Factor Models and Principal Components 235 17.1 Example 1: European Protein Consumption 238 17.2 Example 2: Monthly US Unemployment Rates 243 18. Reducing the Dimension in Regressions with Multicollinear Inputs: Principal Components Regression and Partial Least Squares 247 18.1 Three Examples 249 References 257 19. Text as Data: Text Mining and Sentiment Analysis 258 19.1 Inverse Multinomial Logistic Regression 259 19.2 Example 1: Restaurant Reviews 261 19.3 Example 2: Political Sentiment 266 Appendix 19.A Relationship Between the Gentzkow Shapiro Estimate of “Slant” and Partial Least Squares 268 References 271 20. Network Data 272 20.1 Example 1: Marriage and Power in Fifteenth Century Florence 274 20.2 Example 2: Connections in a Friendship Network 278 References 292 Appendix A: Exercises 293 Exercise 1 294 Exercise 2 294 Exercise 3 296 Exercise 4 298 Exercise 5 299 Exercise 6 300 Exercise 7 301 Appendix B: References 338 Index 341

Read more less

Book SynopsisLead your organization into the industrial revolution of analytics with The Analytics Revolution The topics of big data and analytics continue to be among the most discussed and pursued in the business world today.Trade Review"A good read" (Supply Management, May 2015)Table of ContentsForeword xi Preface xv Acknowledgments xxv PART I The Revolution Has Begun 1 Chapter 1 Understanding Operational Analytics 3 Defining Operational Analytics 4 Welcome to Analytics 3.0 10 How Analytics Are Changing Business 20 Putting Operational Analytics in Perspective 26 Wrap-Up 30 Notes 31 Chapter 2 More Data . . . More Data . . . Big Data! 33 Cutting through the Hype 33 Preparing for Big Data 39 Putting Big Data in Context 48 Wrap-Up 58 Notes 59 Chapter 3 Operational Analytics in Action 61 Improving Customer Experiences 62 Time Is of the Essence 68 Making Us Safer 71 Increasing Operational Efficiency 74 Improving Our Lives in the Future 77 Finding Unexpected Value in Data 79 Wrap-Up 83 Notes 84 PART II Laying the Foundation 87 Chapter 4 Want Budget? Build the Business Case! 89 Setting the Priorities 89 Choosing the Right Decision Criteria 93 Business Case Framework to Consider 101 Tips for Creating a Winning Business Case 108 Wrap-Up 115 Notes 116 Chapter 5 Creating an Analytic Platform 117 Planning 118 Building 123 Using 140 Wrap-Up 143 Notes 145 Chapter 6 Governance and Privacy 147 Setting the Stage for Governance 148 Deciding Where Analytics Happen 154 Governing Operational Analytics 158 Privacy 165 Wrap-Up 172 Notes 173 PART III Making Analytics Operational 175 Chapter 7 The Analytics 177 Creating Operational Analytics Processes 177 Expanding into New Analytics Disciplines 181 Focusing Analytics Efforts 187 Comparing Analytics Approaches 193 Lessons from the Past 198 Wrap-Up 204 Notes 205 Chapter 8 The Analytics Organization 207 A Major Shift Has Occurred 207 Staffing 209 Organizing 218 Succeeding 225 Wrap-Up 234 Notes 235 Chapter 9 The Analytics Culture 237 Instilling the Proper Mind-set 237 Implementing Effective Policies 245 Facilitating Success 250 Enabling and Handling the Right Failures 256 Wrap-Up 261 Notes 262 Conclusion Join the Revolution! 263 About the Author 267 Index 269

Read more less

Book SynopsisThe classic guide to instructional design, fully updated for the new ways we learn Rapid Instructional Design is the industry standard guide to creating effective instructional materials, providing no-nonsense practicality rather than theory-driven text. Beginning with a look at what instructional design really means, readers are guided step-by-step through the ADDIE model to explore techniques for analysis, design, development, intervention, and evaluation. This new third edition has been updated to cover new applications, technologies, and concepts, and includes many new templates, real-life examples, and additional instructor materials. Instruction delivery has expanded rapidly in the nine years since the second edition''s publication, and this update covers all the major advances in the field. The major instructional models are expanded to apply to e-learning, MOOCs, mobile learning, and social network-based learning. Informal learning and communities of practice Table of ContentsTool List vii Preface for the Third Edition xiii Introduction xv Purpose xv Audiences xvi Special Elements xvii Organization of the Book xix Chapter 1 What Is This Instructional Design Stuff Anyway? 1 Why Instructional Design? 2 What Is Instructional Design? 3 A Few Definitions 5 Advantages of Instructional Design 9 Disadvantages of Instructional Design 13 Chapter 2 Before You Do Anything: Pre-Instructional Design Activities 17 Organizational Needs 18 Performance Assessment 23 Assessing Training Needs 33 Choosing Needs to Address 39 The Needs Assessment Report 42 Quick and Dirty Cost/Benefit Analysis 47 Training Needs Analysis 54 Chapter 3 Do You Know What You Need to Do? Analysis 63 Data-Collection Methods 64 Why Analyze? 73 Types of Analysis 73 Computer-Aided Analysis 102 Chapter 4 How to Do It: Design 107 Make the Right Decision Now 107 Delivery Decision 108 Objectives 128 Design Documents 143 Course Descriptions 161 Gathering Content 162 Adding Structure: The Instructional Plan 168 Trainee Evaluation (Test Questions and Tests) 178 Hints for Designing in Various Formats 196 Chapter 5 Doing It Right: Development 203 End Products of Development 203 The Facilitator Guide as an End Product 205 Scripts and Storyboards 231 Participant Packages and Other Print Materials 235 Other Media 239 Hints for Developing Material 247 Chapter 6 Getting It Where It Does the Most Good: Implementation 263 Beta Tests and Pilots 263 Reviews Revisited 279 Common Implementation Issues 282 Other Instructor-Led Classroom Implementation Needs 287 Hints for Implementation 299 Field Trips 306 Chapter 7 Did It Do Any Good? Evaluation 311 Why Evaluation? 311 The Key to Good Evaluation 312 Types of Evaluation 315 Evaluation of Self-Instruction Programs 334 Revisions: What to Do with What You’ve Learned 338 Hints for Evaluating 344 Chapter 8 Doing It Faster: More Rapid Design Shortcuts 353 Software for Instructional Design 354 Analysis Software 355 Test Development Software 355 Miscellaneous Software 356 Rapid Prototyping 356 Learning Objects/Granular Training 357 Public Courses 358 Off-The-Shelf Programs 358 Technology Vendors 358 Performance Support–Based “Training” 359 Problem-Based Learning (PBL) 361 Training Management Systems/Learning Management Systems (LMS)/Learning Content Management Systems (LCMS) 361 Digital Cameras 362 What Does an ID Do? 362 Miscellaneous 364 Chapter 9 Asynchronous e-Learning Design 367 Definitions 367 Creating and Implementing an e-Learning System 369 Determining a Comprehensive e-Learning Strategy 371 Designing and Developing Good Programs 373 Learning Management Systems and Learning Content Management Systems 374 Preparing the Organization Globally for e-Learning 378 Self-Direction and e-Learning 380 Planning for a Smooth, Successful Implementation 384 Creating an Effective Monitoring and Evaluation Plan 385 Asynchronous e-Learning Design and Development 387 Analysis 387 Material Development 390 Learner Evaluation 397 Learner Interfaces 398 Beta Tests and Pilots 399 Software 400 Repurposing 401 Evaluating Asynchronous e-Learning Programs 403 Summary 403 Chapter 10 Synchronous e-Learning Design 409 Advantages 409 Disadvantages and Misconceptions 410 Design Considerations for Synchronous e-Learning 413 Mini-Interactions 414 Repurposing and Redesigning Synchronous e-Learning Programs 415 Other Synchronous Activities 416 More Detailed Facilitator Guides 419 Learner Guide 422 General Technology Considerations 423 Media 425 Designing Continuing Interactions 430 Audience Analysis 432 Implementation 434 Online Learning: A Special Type of e-Learning 446 What the Learners Say 451 Chapter 11 New Design Applications 453 Flipped Classrooms 453 Mobile Learning 457 Virtual Learning Environments 461 Social Network–Based Learning 463 Massive Open Online Courses (MOOCs) 466 Communities of Practice 468 Informal Learning 469 The Cloud 471 Glossary 475 Suggested Readings 499 Other Resources 511 About the Author 517 Index 519

Read more less

Book SynopsisLeverage Big Data analytics methodologies to add value to geophysical and petrophysical exploration data Enhance Oil & Gas Exploration with Data-Driven Geophysical and Petrophysical Models demonstrates a new approach to geophysics and petrophysics data analysis using the latest methods drawn from Big Data. Written by two geophysicists with a combined 30 years in the industry, this book shows you how to leverage continually maturing computational intelligence to gain deeper insight from specific exploration data. Case studies illustrate the value propositions of this alternative analytical workflow, and in-depth discussion addresses the many Big Data issues in geophysics and petrophysics. From data collection and context through real-world everyday applications, this book provides an essential resource for anyone involved in oil and gas exploration. Recent and continual advances in machine learning are driving a rapid increase in empirical modeling capabilities. ThisTable of ContentsForeword xv Preface xxi Acknowledgments xxiii Chapter 1 Introduction to Data-Driven Concepts 1 Introduction 2 Current Approaches 2 Is There a Crisis in Geophysical and Petrophysical Analysis? 3 Applying an Analytical Approach 4 What Are Analytics and Data Science? 5 Meanwhile, Back in the Oil Industry 8 How Do I Do Analytics and Data Science? 10 What Are the Constituent Parts of an Upstream Data Science Team? 13 A Data-Driven Study Timeline 15 What Is Data Engineering? 18 A Workflow for Getting Started 19 Is It Induction or Deduction? 30 References 32 Chapter 2 Data-Driven Analytical Methods Used in E&P 34 Introduction 35 Spatial Datasets 36 Temporal Datasets 37 Soft Computing Techniques 39 Data Mining Nomenclature 40 Decision Trees 43 Rules-Based Methods 44 Regression 45 Classification Tasks 45 Ensemble Methodology 48 Partial Least Squares 50 Traditional Neural Networks: The Details 51 Simple Neural Networks 54 Random Forests 59 Gradient Boosting 60 Gradient Descent 60 Factorized Machine Learning 62 Evolutionary Computing and Genetic Algorithms 62 Artificial Intelligence: Machine and Deep Learning 64 References 65 Chapter 3 Advanced Geophysical and Petrophysical Methodologies 68 Introduction 69 Advanced Geophysical Methodologies 69 How Many Clusters? 70 Case Study: North Sea Mature Reservoir Synopsis 72 Case Study: Working with Passive Seismic Data 74 Advanced Petrophysical Methodologies 78 Well Logging and Petrophysical Data Types 78 Data Collection and Data Quality 82 What Does Well Logging Data Tell Us? 84 Stratigraphic Information 86 Integration with Stratigraphic Data 87 Extracting Useful Information from Well Reports 89 Integration with Other Well Information 90 Integration with Other Technical Domains at the Well Level 90 Fundamental Insights 92 Feature Engineering in Well Logs 95 Toward Machine Learning 98 Use Cases 98 Concluding Remarks 99 References 99 Chapter 4 Continuous Monitoring 102 Introduction 103 Continuous Monitoring in the Reservoir 104 Machine Learning Techniques for Temporal Data 105 Spatiotemporal Perspectives 106 Time Series Analysis 107 Advanced Time Series Prediction 108 Production Gap Analysis 112 Digital Signal Processing Theory 117 Hydraulic Fracture Monitoring and Mapping 117 Completions Evaluation 118 Reservoir Monitoring: Real-Time Data Quality 119 Distributed Acoustic Sensing 122 Distributed Temperature Sensing 123 Case Study: Time Series to Optimize Hydraulic Fracture Strategy 129 Reservoir Characterization and Tukey Diagrams 131 References 138 Chapter 5 Seismic Reservoir Characterization 140 Introduction 141 Seismic Reservoir Characterization: Key Parameters 141 Principal Component Analysis 146 Self-Organizing Maps 146 Modular Artificial Neural Networks 147 Wavelet Analysis 148 Wavelet Scalograms 157 Spectral Decomposition 159 First Arrivals 160 Noise Suppression 161 References 171 Chapter 6 Seismic Attribute Analysis 174 Introduction 175 Types of Seismic Attributes 176 Seismic Attribute Workflows 180 SEMMA Process 181 Seismic Facies Classification 183 Seismic Facies Dataset 188 Seismic Facies Study: Preprocessing 189 Hierarchical Clustering 190 k-means Clustering 193 Self-Organizing Maps (SOMs) 194 Normal Mixtures 195 Latent Class Analysis 196 Principal Component Analysis (PCA) 198 Statistical Assessment 200 References 204 Chapter 7 Geostatistics: Integrating Seismic and Petrophysical Data 206 Introduction 207 Data Description 208 Interpretation 210 Estimation 210 The Covariance and the Variogram 211 Case Study: Spatially Predicted Model of Anisotropic Permeability 214 What Is Anisotropy? 214 Analysis with Surface Trend Removal 215 Kriging and Co-kriging 224 Geostatistical Inversion 229 Geophysical Attribute: Acoustic Impedance 230 Petrophysical Properties: Density and Lithology 230 Knowledge Synthesis: Bayesian Maximum Entropy (BME) 231 References 237 Chapter 8 Artificial Intelligence: Machine and Deep Learning 240 Introduction 241 Data Management 243 Machine Learning Methodologies 243 Supervised Learning 244 Unsupervised Learning 245 Semi-Supervised Learning 245 Deep Learning Techniques 247 Semi-Supervised Learning 249 Supervised Learning 250 Unsupervised Learning 250 Deep Neural Network Architectures 251 Deep Forward Neural Network 251 Convolutional Deep Neural Network 253 Recurrent Deep Neural Network 260 Stacked Denoising Autoencoder 262 Seismic Feature Identification Workflow 268 Efficient Pattern Recognition Approach 268 Methods and Technologies: Decomposing Images into Patches 270 Representing Patches with a Dictionary 271 Stacked Autoencoder 272 References 274 Chapter 9 Case Studies: Deep Learning in E&P 276 Introduction 277 Reservoir Characterization 277 Case Study: Seismic Profile Analysis 280 Supervised and Unsupervised Experiments 280 Unsupervised Results 282 Case Study: Estimated Ultimate Recovery 288 Deep Learning for Time Series Modeling 289 Scaling Issues with Large Datasets 292 Conclusions 292 Case Study: Deep Learning Applied to Well Data 293 Introduction 293 Restricted Boltzmann Machines 294 Mathematics 297 Case Study: Geophysical Feature Extraction: Deep Neural Networks 298 CDNN Layer Development 299 Case Study: Well Log Data-Driven Evaluation for Petrophysical Insights 302 Case Study: Functional Data Analysis in Reservoir Management 306 References 312 Glossary 314 About the Authors 320 Index 323

Read more less

Book SynopsisA comprehensive introduction to the theory and practice of contemporary data science analysis for railway track engineering Featuring a practical introduction to state-of-the-art data analysis for railway track engineering, Big Data and Differential Privacy: Analysis Strategies for Railway Track Engineering addresses common issues with the implementation of big data applications while exploring the limitations, advantages, and disadvantages of more conventional methods. In addition, the book provides a unifying approach to analyzing large volumes of data in railway track engineering using an array of proven methods and software technologies. Dr. Attoh-Okine considers some of today's most notable applications and implementations and highlights when a particular method or algorithm is most appropriate. Throughout, the book presents numerous real-world examples to illustrate the latest railway engineering big data applications of predictive analytics, such aTable of ContentsPreface xi Acknowledgments xiii 1 Introduction 1 1.1 General 1 1.2 Track Components 2 1.3 Characteristics of Railway Track Data 4 1.4 Railway Track Engineering Problems 6 1.5 Wheel–Rail Interface Data 11 1.6 Geometry Data 15 1.7 Track Geometry DegradationModels 20 1.8 Rail Defect Data 25 1.9 Inspection and Detection Systems 33 1.10 Rail Grinding 37 1.11 Traditional Data Analysis Techniques 40 1.12 Remarks 41 References 42 2 Data Analysis – Basic Overview 49 2.1 Introduction 49 2.2 Exploratory Data Analysis (EDA) 49 2.3 Symbolic Data Analysis 53 2.4 Imputation 54 2.5 Bayesian Methods and Big Data Analysis 56 2.6 Remarks 57 References 57 3 Machine Learning: A Basic Overview 59 3.1 Introduction 59 3.2 Supervised Learning 60 3.3 Unsupervised Learning 61 3.4 Semi-Supervised Learning 61 3.5 Reinforcement Learning 61 3.6 Data Integration 63 3.7 Data Science Ontology 63 3.8 Imbalanced Classification 69 3.9 Model Validation 70 3.10 Ensemble Methods 71 3.11 Big P and Small N (P â N) 74 3.12 Deep Learning 79 3.13 Data Stream Processing 95 3.14 Remarks 105 References 105 4 Basic Foundations of Big Data 113 4.1 Introduction 113 4.2 Query 116 4.3 Taxonomy of Big Data Analytics in Railway Track Engineering 123 4.4 Data Engineering 124 4.5 Remarks 130 References 130 5 Hilbert–Huang Transform, Profile, Signal, and Image Analysis 133 5.1 Hilbert–Huang Transform 133 5.2 Axle Box Acceleration 150 5.3 Analysis 151 5.4 Remarks 153 References 153 6 Tensors – Big Data in Multidimensional Settings 157 6.1 Introduction 157 6.2 Notations and Definitions 158 6.3 Tensor Decomposition Models 161 6.4 Application 164 6.5 Remarks 170 References 171 7 Copula Models 175 7.1 Introduction 175 7.2 Pair Copula: Vines 184 7.3 Computational Example 186 7.4 Remarks 192 References 193 8 Topological Data Analysis 197 8.1 Introduction 197 8.2 Basic Ideas 197 8.3 A Simple Railway Track Engineering Application 203 8.4 Remarks 204 References 204 9 Bayesian Analysis 207 9.1 Introduction 207 9.2 Markov Chain Monte Carlo (MCMC) 210 9.3 Approximate Bayesian Computation 210 9.4 Markov Chain Monte Carlo Application 216 9.5 ABC Application 219 9.6 Remarks 221 References 222 10 Basic Bayesian Nonparametrics 225 10.1 General 225 10.2 Dirichlet Family 226 10.3 Dirichlet Process 227 10.4 Finite Mixture Modeling 231 10.5 Bayesian Nonparametric Railway Track 232 10.6 Remarks 233 References 233 11 Basic Metaheuristics 235 11.1 Introduction 235 11.2 Remarks 237 References 239 12 Differential Privacy 241 12.1 General 241 12.2 Differential Privacy 242 12.3 Remarks 247 References 247 Index 249

Read more less

Book SynopsisLearn about the successesof Black entrepreneurs through a collection of unique case studies Successful Black Entrepreneursisan insightful collection ofHarvard Business Schoolcase studiesaboutBlack entrepreneurs succeeding in a variety of industries andthrough different routes, including start-ups, franchising, and acquisitions. The book also recognizes and celebrates Black entrepreneurial excellence, as it takes the reader through the stages of entrepreneurship, including ideation, raising capital, growing the company, and taking it public. In addition to identifying the positive aspects of Black entrepreneurship, the book also uses data, research, and anecdotes to highlight the challenges faced by Black entrepreneurs, including: An inability to access capital from traditional financial institutions like banks and private equity firmsThe requirement to practice racial concealment in the company ofWhite customers in order to achieve success Perfect for students, aspiring entrepreneurs, and established business leaders,Successful Black Entrepreneursprovidespracticalperspectivesfrom Black entrepreneurs about what it takes to succeed in business.Table of ContentsPreface vii Introduction xi Chapter 1 History of Black Entrepreneurship 1 Chapter 2 Importance of Black Entrepreneurs 37 Chapter 3 Black Start-Up Entrepreneurs 43 Chapter 4 Entrepreneurship Through Acquisitions 75 Chapter 5 Entrepreneurship Through Franchising 125 Chapter 6 Access to Capital for Black Entrepreneurs 157 Chapter 7 Black Turnaround Entrepreneurs 203 Chapter 8 Entrepreneurial Exits: Selling the Company 235 Chapter 9 Black Intrapreneurs 285 Epilogue 311 Appendix 313 Acknowledgments 317 About the Author 321 Index 323

Read more less

Book SynopsisHow to lead the digital transformation of governments Digital Government Excellence: Lessonsfrom Effective Digital Leadersdelivers a fascinating treatment of digital leadership as governments around the world start or restart the digital transformation of their work and service delivery. The author provides a playbook on how to achieve digital excellence via interviews with 20 remarkable digital government leaders from around the world. Each one offers insights on strategies for how to incorporate the best of digital into public services and practical tips on leading digital reforms and delivery teams. The book also: Explores how to begin the task of making all of government to go digital or go deeper and bolder in this direction, including the first steps and beyondHighlights leadership styles and practices for effective and lasting delivery of digital strategies and reformsProvides food for thought about whatit takes to be an impactful digital transformation leader in government and beyond The book is ideal for Chief Digital/Information/Technology Officers or digital agency leaders in public service. Digital Government Excellence is also an indispensable resource for any practitioner, policymaker or political leader in governments at any level, as well as any student or advisor of governments looking intohow to deliver digital transformation in the public sector.Table of ContentsPreface ix Acknowledgments xi List of Abbreviations xiii Introduction xv 1. Aisha Bin Bishr, Dubai, United Arab Emirates (UAE) 1 2. Alex Benay, Canada 15 3. Anna-Maija Karjalainen, Finland 31 4. Barry Lowry, Ireland 45 5. Bolor-Erdene Battsengel, Mongolia 59 6. Cheow Hoe Chan, Singapore 71 7. Daniel Abadie, Argentina 83 8. Diego Piacentini, Italy 97 9. Hillary Hartley, Ontario, Canada 109 10. Innocent Bagamba Muhizi, Rwanda 123 11. José Clastornik, Uruguay 135 12. Lars Frelle-Petersen, Denmark 147 13. Luis Felipe Monteiro, Brazil 159 14. Mike Bracken, United Kingdom 173 15. Pedro Silva Dias, Portugal 189 16. Randall Brugeaud, Australia 203 17. Shai-Lee Spiegelman, Israel 219 18. Taavi Kotka, Estonia 233 19. Tim Occleshaw, New Zealand 245 20. Yolanda Martínez, Mexico 261 Epilogue: How to Lead a Government to Digital Excellence 279 About the Author 287 Index 289

Read more less

Book SynopsisPresents an ultimate theory of knowledge-based management and organizational knowledge creation based on empirical research and an extensive literature review. It explores knowledge management as a global concept and is relevant to any company that wants to prosper and thrive in the global knowledge economy.Trade Review"Nonaka and his co-authors must be congratulated on developing an understanding of this ephemeral concept of knowledge, and on widening it out beyond business objectives to general wellbeing." - Gordon Harris, Professional ManagerTable of ContentsIntroduction Characteristics of Knowledge The Theoretical Framework Vision and Driving Objectives: Values for the Common Good Eisai Honda Implications Ba Mayekawa Manufacturing Co., Ltd Kumon Implications Dialogue and Practice: Leveraging Organizational Dialects Seven-Eleven Japan Muji Implications Dynamic Knowledge Assets in Process YKK JFE: Synthesizing Experience Implications Leadership: Fostering Distributed Excellence in the Organization Canon Toyota Prius Implications Conclusions

Read more less

Book SynopsisAs technology evolves, it can be difficult to maintain a competitive edge. The management of intangible resources like competence, relationships, brands, processes and systems becomes increasingly important in such a world. Intellectual Capital as a Management Tool reviews the evidence to demonstrate where the intellectual capital view of the firm has made major contributions. The book introduces an updated version of the Intellectual Capital Navigator as an operational tool to help managers maximise value generation from an organisations portfolio of diverse resources. This tool is the only tool that enables organisations to use the resource based view of the firm in an operational way. The book also discusses future developments of the Intellectual Capital Navigator, increasing its precision around the financial aspects of the organisation.The book has broad application across all types of organisations and in all operating environments and is vTrade Review'Filling a gap in the intellectual capital field, the book reviews critical developments in the field in the last two decades and discusses future versions of the Intellectual Capital Navigator and the Effector. Academics, researchers, students and managers and business leaders will benefit from the innovative views and insights as well as practical lessons.' - Patricia Ordóñez de Pablos, The University of Oviedo, SpainTable of ContentsChapter 1: The Evolution of the Intellectual Capital Perspective; Chapter 2: The Contribution of The Intellectual Capital View of The Firm to Key Business Issues; Chapter 3: The Intellectual Capital Navigator as a Strategic Tool; Chapter 4: Analyses Using the Navigator and the Effector

Read more less

Book SynopsisAre you overworked, unappreciated and under-resourced? This book understands you, and provides years and years of User Support experience packed into one volume. The ''How To'' book that every IT department needs, it will help turn your helpdesk into a company asset. How to be successful at probably the most stressful job in IT This book offers tools for measuring productivity and features ten key steps for successful support, while User Support successes and failures are revealed in true life case studies.This book gives you techniques for:Justifying staff and other expenditure Gaining senior management support Getting the users on your side Running a motivated and productive team Designing and managing services and service levels The second edition of this popular book brings updates to several of the author''s ideas, strategies and techniques with new material on: Customer Relationship Management - definition and the role of the helpdesk E-Support and the Internet Contrasting the CTrade Review"Noel's passion for the industry combined with years of personal experience in the field makes him uniquely qualified to help you deliver great helpdesk customer service no matter how hopeless you think your current work environment is."- Phil Verghis, Vice President, Service Delivery, Akamai Technologies USA and multiple award-winning author of the Internet Helpdesk FAQ"Helpdesk managers weary of industry jargon, nonsensical acronyms, and technological hype will be relieved to find a book that talks their language. Despite years of experience, Noel Bruton has managed to remain firmly rooted in reality, and is able to clearly describe the complexities involved in the helpdesk, while remembering that it is often the most basic of issues that require the most attention."- James West, Editor, Customer Service News Magazine"This book won't tell you how to get your printer working with your word processor - it's better than that. It tells you how to deploy your Support staff so as to have the best chance of preventing or fixing such problems. If you're in charge of a PC Support group, or would like to be one day, get this book and read it." - Dr. Alan SolomonTable of ContentsPart 1 What is ‘support’?; Chapter 1 Defining computer user support; Chapter 2 Support as an IT function; Chapter 3 Forms of support; Chapter 4 Typical support structures; Chapter 5 Support functions; Part 2 Client management; Chapter 6 What is a ‘customer’?; Chapter 7 What do they want?; Chapter 8 Prioritizing clients; Chapter 9 Keeping in contact; Chapter 10 Customer service in IT support; Chapter 11 A view from above; Chapter 12 Marketing the support de; Part ment; Part 3 Service management; Chapter 13 Analysing service needs; Chapter 14 Putting services in place; Chapter 15 Excellence in support service; Chapter 16 Service level agreements; Chapter 17 Support from outside; Chapter 18 The international dimension; Part 4 Workload management; Chapter 19 Reactivity and proactivity; Chapter 20 Managing the queue; Chapter 21 Delegation and escalation; Chapter 22 Measurement and reporting; Chapter 23 Controlling the workflow; Part 5 Resources management; Chapter 24 Justifying user support expenditure; Chapter 25 Knowledge; Chapter 26 Equipment; Part 6 Staff management; Chapter 27 The ideal support person; Chapter 28 Motivation and productivity; Chapter 29 Staffing and structure; Chapter 30 User support management considerations;

Read more less

Book SynopsisLike other critical organizational assets, information is a strategic asset that requires high level of oversight in order to be able to effectively use it for organizational decision-making, performance improvement, cost management, and risk mitigation.Adopting an information governance program shows a healthcare organizationâs commitment to managing its information as a valued strategic asset. Information governance serves the dual purpose of optimizing the ability to extract clinical and business value from healthcare information while meeting compliance needs and mitigating risk. Healthcare organizations that have information governance programs will have a competitive edge over others and contributes to safety and quality of care, population health, operational efficiency and effectiveness, and cost reduction initiatives. This is a much-needed book in the healthcare market space. It will explain, in clear terms, how to develop, launch, and oversee an Information GTrade Review"Proper attention to information governance most industries may mean the difference between profit and loss, but in healthcare it can mean the difference between life and death. As a healthcare professional, no longer can you afford to manage your information as anything less than the true asset it is. Thankfully, Robert Smallwood has given you this playbook to do just that." Douglas B. Laney, VP and Distinguished Analyst, Gartner, and author of Infonomics: How to Monetize, Manage, and Measure Information for Competitive Advantage Table of ContentsPreface. INTRODUCTION TO INFORMATION GOVERNANCE. The Healthcare Information Governance Imperative. IG PLANNING & POLUCY DEVELOPMENT. Information Risk Planning & Management. Strategic Planning and Best Practices for IG. IG Policy Development. STRATEGIES AND ADVICE FROM THE FIELD. IG Education is Key to IG Success. IG in Healthcare. IG and InfoSec in Healthcare. IG and Privacy Issues. Identifying, Classifying and Managing Your Information Assets. Creating an Information Asset Register to Assis in Privacy Compliance. IG Insight: The Soft Stuff is the Hard Stuff. Anticipating Conflicts in Your IG Program. Information Governance and Brand Management: A Critical Link. Information Governance by Design: "Baking" IG into Everyday Processes. Long Term Digital Preservation in IG Programs. Veteran Advice on Getting Your IG Program Launched. Glossary. About the Author. About the Contributors.

Read more less

Book SynopsisWhy does information technology disappoint or enslave us? Why do so many information systems projects collapse? How can we do better? There are many technical, social, economic and other aspects to consider. How do we ensure we take all these into account as we research ITC or employ them? ICT affects our lives and world more profoundly than ever before. How may we understand it? This book employs philosophy to lay foundations for understanding the complexity of ICT, in five areas: The nature of information and computers, and artificial intelligence; The use of ICT at work and home, for serious and less-serious use; The ICT features that annoy or delight us; Societal issues, such as surveillance, e-government, ICT in developing countries, climate change, what technological progress is and what is the role of ICT as a whole and of the information systems field; ICT development - includinTable of ContentsPART 1 1. Introduction 2. Philosophies 3. Dooyeweerd's Philosophy 4. Foundations, Research and Practice PART 2 5. The Nature of Information and Communication Technology 6. Understanding ICT Use 7. Understanding ICT Features 8. Understanding ICT and Society 9. Understanding ICT Development PART 3 10. Overview and Reflection 11. Contributions and Limitations 12. Opportunities and Recommendations

Read more less

Book SynopsisDavid Kroenke has many years of teaching experience at Colorado State University, Seattle University, and the University of Washington. He has led dozens of seminars for college professors on the teaching of information systems and technology; in 1991, the International Association of Information Systems named him Computer Educator of the Year. In 2009, David was named Educator of the Year by the Association of Information Technology Professionals-Education Special Interest Group (AITP-EDSIG). David worked for the U.S. Air Force and Boeing Computer Services. He was a principal in the startup of three companies, serving as the vice president of product marketing and development for the Microrim Corporation and as chief of database technologies for Wall Data, Inc. He is the father of the semantic object data model. David's consulting clients have included IBM, Microsoft, and Computer Sciences Corporations, as well as numerous smaller companies. Recently, David Table of Contents I. Why MIS? 1. The Importance of MIS 2. Collaboration Information Systems 3. Strategy and Information Systems II. Information Technology 4. Hardware, Software, and Mobile Systems 5. Database Processing 6. The Cloud III. Using IS for Competitive Advantage 7. Processes, Organizations, and Information Systems 8. Social Media Information Systems 9. Business Intelligence Systems IV. Information Systems Management 10. Information Systems Security 11. Information Systems Management 12. Information Systems Development The International Dimension Application Exercises Glossary

Read more less

Book SynopsisThe Venture Capital Investment Framework Venture capital is the economic engine that drives entrepreneurship and innovation through capital investments, board membership, advice, introductions to relevant employees, and customers. Despite the outsized importance of venture capital, the inner workings remain hidden. Venture is still a mentor-led industry and it is an industry where you have to do a lot of self-educationyou have to learn by doing, and you have to get up to speed quickly. Until now. Author William Lin spent over a decade in venture capital, starting in an entry-level position, helping to start a leading VC firm from scratch, and eventually becoming Managing Partner. In The VC Field Guide: Fundamentals of Venture Capital, Lin shares his unique framework, the Venture Capital Investment Framework, to help any venture capitalist, entrepreneur, or investor make better investment decisions, quicker. He delivers an incisive and practical handbooTable of ContentsForeword xi Preface xiii Acknowledgments xv Part I Introduction 1 Introduction 3 My Background 3 Who Is This Book For? 9 The Framework’s Origin 10 Endnote 14 Part II The Venture Capital Investment Framework 15 Chapter 1 The Venture Capital Investment Framework 17 Startup Investing 17 Chapter 2 Who = Team 23 Different Paths to Success 26 Curiosity Is a Must- Have for Founding Teams 27 Individual or Company Growth? 30 The CEO and Team Challenges 31 Curiosity and ? 33 Failure Is a Valued Asset 37 In- Person Data 38 Team Dynamics that Work 40 Chapter 3 What = Problem 47 Deep Questions, First Principles 49 Common Sense and Bias 52 You Don’t Have to Solve Your Own Problem 53 Finding a Problem 55 Chapter 4 When = Timing 59 Timing = Environment 61 Specialization Leads to Success, Leading to Optionality 62 Generational Timing 64 Timing and Disruption 66 The Rise and Fall of Companies 68 Chapter 5 Where = Market 73 How VCs Look at TAM 74 Strategy for VCs Based on the Size of the Firm 79 Calculating TAM and What Does It Imply? 81 Chapter 6 Why = Solution 83 Solving One Problem Really Well 85 Building the Right Solution 87 Building a Sustainable Business 90 Chapter 7 How = Scale 91 The Sales Organization 93 Sales Organization and Customer Alignment 96 The Technology Organization 98 Chapter 8 How to Use the VCIF 101 The VCIF in Action: An Investment We Made 102 An Investment We Didn’t Make 107 Stages 112 Part III Notes to Stakeholders 115 Chapter 9 The Venture Capital Role 117 The Basics of a Venture Capital Firm 118 Winners Lose a Lot 123 Metrics 126 My First Trial by Fire 128 Chapter 10 Notes for Students 135 Three Entry- Level Career Paths in Venture 135 Chapter 11 Notes for Current VCs 141 VC Career Paths 141 VC Career Myths 147 Chapter 12 Notes for Entrepreneurs: Some Thoughts 151 Chapter 13 Notes for Startup Customers 155 Chapter 14 Notes for LPs: Characteristics of Some of the Best VCs 159 Sector Knowledge 161 Chapter 15 Long- Term Planning: Venture Capital Cycles, Optionality, Starting a VC Firm 165 Venture Capital Cycles 167 Optionality 168 Could You Start Your Own VC Firm? 172 Conclusion 175 Afterword 179 Glossary 181 Index 185

Read more less

Book SynopsisDramatically improve your decisions with data and AI In Decision Intelligence: Transform Your Team and Organization with AI-Driven Decision-Making, a team of pioneering decision and AI strategists delivers a digestible and hands-on resource for professionals at every part of the decision-making journey. The book discusses the latest technology and approaches that bridge the gap between behavioral science, data science, and technological innovation. Discover how leaders from various industries and environments are using data and AI to make better future decisions, taking both human as well as business factors into account. This book covers: A demystifying behind-the-scenes peek inside how AI models, forecasts, and optimization for business challenges really work, and why they open up entirely new possibilities. A business-ready introduction to decision intelligence, exploring why traditional decision-making strategies are outdated andTable of ContentsFigures List xi Foreword xiii Acknowledgments xvii Introduction xxi Chapter 1 Decoding Decision-Making: Good and Bad Decisions 1 How to Measure the Quality of a Decision 6 The History of Decision-Making 10 The Impact of Technology on Business Decision-Making in the 21st Century 14 Regaining the Human Aspects 17 Chapter 2 Why Traditional Decision-Making Is Broken 21 The New (Corporate) Normal: An Increasingly Dynamic and Complex Reality with Uncertainties 23 Why Data Analytics and Business Intelligence Can’t Keep up with the New Reality 31 The Illusion of Human Control: Will We Ever Be Able to Make the Best Possible Choice? 35 Chapter 3 Decision Intelligence: Making Relevant Information Visible and Actionable 39 How to Shift Your Decision-Making Perspective 43 The Ultimate Partnership Between Humans and Machines 47 Chapter 4 The Business Value of Decision Intelligence 55 From Using DI as a Strategy to DecisionOS 57 Step up the Operational Game: Recurring Use-Cases for Companies 61 Chapter 5 Decision Intelligence in Practice: Industry Examples of Applied DI 67 DI in Logistics 69 DI in Retail 78 DI in Pricing and Marketing 83 Chapter 6 The Technology Stack: Applying AI Systems for Decision-Making 91 Data, the Backbone to Leverage Business Value 95 Artificial Intelligence: Understanding the Patterns Behind 102 Optimization Is Key for Better Business Outcomes 116 Chapter 7 Decision Intelligence Organization: The Key to Unlocking the True Potential of Data-Driven Decision-Making 125 Culture Eats Intelligent Decision-Making for Breakfast 129 Ways of Working in DI Organizations 132 The Four Rs of the DI Organization 137 Cultivating a DI Organization: A Symphony of Skills 142 Recognizing Biases in Your Decision-Making Process 147 Chapter 8 Leading a Decision Intelligence Organization 155 Trust and Courage 158 Transparency and Experimentation 162 Psychological Safety: The Secret Ingredient for a Decision Intelligence Organization 167 Embracing Failure and Forging Forward 175 Epilogue 179 References 183 Index 195

Read more less

Book SynopsisTransform your company's AI and data frameworks to unlock the true power of disruptive new tech In From Data to Profit: How Businesses Leverage Data to Grow Their Top and Bottom Lines, accomplished entrepreneur and AI strategist Vineet Vashishta delivers an engaging and insightful new take on making the most of data, artificial intelligence, and technology at your company. You'll learn to change the culture, strategy, structure, and operational framework of your company to take full advantage of disruptive advances in tech. The author explores fascinating work being undertaken by firms in the real world, as well as high-value use cases and innovative projects and products made possible by realigning organizational frameworks using the capabilities of new technologies. He explains how to get everyone in your company on the same page, following a single framework, in a way that ensures individual departments get what they want and need. You'll learn to outline aTable of ContentsIntroduction vii Chapter 1 Overview of the Frameworks 1 Chapter 2 There Is No Finish Line 15 Chapter 3 Why Is Transformation So Hard? 37 Chapter 4 Final vs. Evolutionary Decision Culture 59 Chapter 5 The Disruptor’s Mindset 71 Chapter 6 A Data- Driven Definition of Strategy 89 Chapter 7 The Monolith—Technical Strategy 103 Chapter 8 Who Survives Disruption? 125 Chapter 9 Data—The Business’s Hidden Giant 139 Chapter 10 The AI Maturity Model 155 Chapter 11 The Human-Machine Maturity Model 171 Chapter 12 A Vision for AI Opportunities 185 Chapter 13 Discovering AI Treasure 201 Chapter 14 Large Model Monetization Strategies—Quick Wins 215 Chapter 15 Large Model Monetization Strategies—The Bigger Picture 229 Chapter 16 Assessing the Business’s AI Maturity 251 Chapter 17 Building the Data and AI Strategy 273 Chapter 18 Building the Center of Excellence 287 Chapter 19 Data and AI Product Strategy 301 Index 325

Read more less

Book SynopsisInformation technology auditing and Sarbanes-Oxley compliance have several overlapping characteristics. They both require ethical accounting practices, focused auditing activities, a functioning system of internal control, and a close watch by the board's audit committee and CEO. Written as a contribution to the accounting and auditing professions as well as to IT practitioners, IT Auditing and Sarbanes-Oxley Compliance: Key Strategies for Business Improvement links these two key business strategies and explains how to perform IT auditing in a comprehensive and strategic manner.Based on 46 years of experience as a consultant to the boards of major corporations in manufacturing and banking, the author addresses objectives, practices, and business opportunities expected from auditing information systems. Topics discussed include the concept of internal control, auditing functions, internal and external auditors, and the responsibilitiTable of ContentsMANAGEMENT CONTROL. Internal Control and Information Technology. Case Studies on Internal Control’s Contribution. Auditing Functions. Internal and External Audit. The Board’s Accountability for Audit. CASE STUDIES ON AUDITING A COMPANY’S INFORMATION TECHNOLOGY. Auditing the Information Technology Functions. Strategic IT Auditing: A Case Study. A Constructive View – Suggestions for IT Restructuring. A Broader Perspective of IT Auditing. TECHNICAL EXAMPLES IN AUDITING IT FUNCTIONS. Auditing IT Response Time and Reliability. Auditing the Security System. CAN IT HELP IN COMPLIANCE? THE CASE OF SOX. Sarbanes-Oxley Compliance and IT’s Contribution. What If: Backtesting Sarbanes-Oxley. INDEX.

Read more less

Book SynopsisThe book will appeal to anyone trying to make sense of contemporary higher education.Trade ReviewAs a collection, Academic Capitalism in the Age of Globalization presents ways that universities have become more entrepreneurial, more interdisciplinary, more competitive, and more marketable as postsecondary institutions and labor markets have become progressively globalized. Canadian Journal of Higher Education oTable of ContentsForewordAcknowledgmentsPart I: Academic Capitalism Revisited Chapter 1. Academic Capitalism in Theory and Research Chapter 2. Retheorizing Academic Capitalism: Actors, Mechanisms, Fields, and Networks Chapter 3. University Revolutions and Academic Capitalism: A Historical Perspective Chapter 4. Exploring the Academic Capitalist Time Regime Chapter 5. Learning to Litigate: University Patents in the Knowledge Economy Chapter 6. Academic Capitalism and Practical Activity: Extending the Research ProgramChapter 7. Extending Academic Capitalism by Foregrounding Academic LaborPart II: Academic Capitalism and Globalization Chapter 8. The Global Enterprise of Higher Education Chapter 9. Transnationalization of Academic Capitalism through Global Production Networks Chapter 10. How to Explain Academic Capitalism: A Mechanism-Based Approach Chapter 11. Peripheral Knowledge-Driven Economies: What Does Academic Capitalism Have to Say? Chapter 12. Academic Capitalism in Greater China: Theme and Variations Chapter 13. Risky Business: Academic Capitalism, Globalization, and the Risk UniversityChapter 14. Developing a Conceptual Model to Study the International Student Market List of Contributors Index

Read more less

Book SynopsisThe book will appeal to anyone trying to make sense of contemporary higher education.Trade ReviewAs a collection, Academic Capitalism in the Age of Globalization presents ways that universities have become more entrepreneurial, more interdisciplinary, more competitive, and more marketable as postsecondary institutions and labor markets have become progressively globalized. Canadian Journal of Higher Education oTable of ContentsForewordAcknowledgmentsPart I: Academic Capitalism Revisited Chapter 1. Academic Capitalism in Theory and Research Chapter 2. Retheorizing Academic Capitalism: Actors, Mechanisms, Fields, and Networks Chapter 3. University Revolutions and Academic Capitalism: A Historical Perspective Chapter 4. Exploring the Academic Capitalist Time Regime Chapter 5. Learning to Litigate: University Patents in the Knowledge Economy Chapter 6. Academic Capitalism and Practical Activity: Extending the Research ProgramChapter 7. Extending Academic Capitalism by Foregrounding Academic LaborPart II: Academic Capitalism and Globalization Chapter 8. The Global Enterprise of Higher Education Chapter 9. Transnationalization of Academic Capitalism through Global Production Networks Chapter 10. How to Explain Academic Capitalism: A Mechanism-Based Approach Chapter 11. Peripheral Knowledge-Driven Economies: What Does Academic Capitalism Have to Say? Chapter 12. Academic Capitalism in Greater China: Theme and Variations Chapter 13. Risky Business: Academic Capitalism, Globalization, and the Risk UniversityChapter 14. Developing a Conceptual Model to Study the International Student Market List of Contributors Index

Read more less

Book SynopsisGreat CIOs consistently exceed key stakeholders'' expectations and maximize the business value delivered through their company''s technology. What''s their secret?Sure, IT professionals need technological smarts, plus an understanding of their company''s goals and the competitive landscape. But the best of them possess a far more potent ability: they forge good working relationships with everyone involved in an IT-enabled project, whether it''s introducing new hardware or implementing a major business transformation.In The CIO Edge, the authors draw on Korn/Ferry International''s extensive empirical data on leadership competencies as well as Gartner''s research on IT trends and the CIO role. They prove that, for IT leaders, mastering seven essential skills yields big results.This new book lays out the people-to-people leadership competencies that the highest-performing CIOs have in common—including the ability to inspire others, connect with a dTrade Review"So if you're wondering what your legacy will be or how to shape it in the present, then The CIO Edge will assist you on your quest with practical case studies and easy, applicable steps to deliver results." Public CIO "...this fast-paced, enjoyable book dives headfirst into the key strengths that highly effective CIOs possess."- CIO Magazine and Computerworld "Throughout the book there are good references and case study interviews with CIOs, and while it is US CIOs who dominate, there is some good experience to glean. Overall The CIO Edge is worth a read for new CIOs, or it's one to pass onto those members of your team you are coaching as part of a succession plan." -- CIO MagazineTable of ContentsTOC Part 1: Characteristics of High-Performing CIOs Chapter 1: Introduction Chapter 2: Leadership First. Everything Else Second Chapter 3: The Make Up of the High Performing CIO Part 2: Cultivating Your People Skills Chapter 4: Lead Differently Chapter 5: Embrace Your Softer Side Chapter 6: Inspire Others Chapter 7: Build People, Not Systems Part 3: The Payoff, Becoming a Great CIO Chapter 8: The Right Relationships, the Right Results Chapter 9: Mastering the Art of Communication Chapter 10: The Professional (and Personal) Payoff

Read more less

Book SynopsisAvailable Open Access under CC-BY-NC licence. This book examines the increasing importance of engagement with non-academic groups and actors in the co-production of knowledge and real-world influence in academic research.Trade Review“Focusing on the personhood of researchers and scholars, this collection addresses important practical and epistemological questions about knowledge construction and impact both within and outside of the academy. A valuable bookshelf addition for anyone interested in the research process and product and the relationship between them.” Gayle Letherby, Plymouth University and The University of Greenwich, UKTable of ContentsIntroduction ~ Dr Sarah Marie Hall and Dr Ralitsa Hiteva; Dwarfism Expectations ~ Dr. Erin Pritchard; Disability Policy for Nomadic Positionings ~ Prof. Pamela Moss and Dr Michael J Prince; "You're not from 'round here, are you?": Class and accent as opportunity and obstacle in research encounters ~ Dr Sarah Marie Hall; A feminist retrofit: Spaces of encounter in collaborative domestic energy research ~ Prof. Gordon Waitt; Enacting intersectionality: the academic as critic, advocate and policymaker ~Dr. JP Catungal; Encountering "Experts" in the gender-social science-engineering nexus ~ Dr. Ralitsa Hiteva; Participants as experts in the own lives ~ Dr. Michael Richardson; Conclusions, key lessons and tactics: addressing social difference in spaces of engagement.

Read more less

Book SynopsisIntelligence is used daily by law enforcement personnel across the world in operations to combat terrorism and drugs and to assist in investigating serious and organized crime. Managing Intelligence: A Guide for Law Enforcement Professionals is designed to assist practitioners and agencies build an efficient system to gather and manage intelligence effectively and lawfully in line with the principles of intelligence-led policing.Research for this book draws from discussions with hundreds of officers in different agencies, roles, and ranks from the UK, United States, Australia, New Zealand, and Canada. Highlighting common misunderstandings in law enforcement about intelligence, the book discusses the origins of these misunderstandings and puts intelligence in context with other policing models. It looks at human rights and ethical considerations as well as some of the psychological factors that inhibit effective intelligence management. With practicTable of ContentsThe Concept of Managing Intelligence. Intelligence in Context. Understanding Intelligence. Human Rights, Legislation, and Ethics. Psychology and Intelligence Management. The Intelligence Cycle (Revisited). Building an Intelligence Management System. Analysis. Intelligence Originating from Traditional. Law Enforcement Activities. Intelligence from Covert Operations. Using Intelligence. Challenges and the Way Ahead. Index.

Read more less

Book SynopsisCyber Security Management: A Governance, Risk and Compliance Framework by Peter Trim and Yang-Im Lee has been written for a wide audience. Derived from research, it places security management in a holistic context and outlines how the strategic marketing approach can be used to underpin cyber security in partnership arrangements. The book is unique because it integrates material that is of a highly specialized nature but which can be interpreted by those with a non-specialist background in the area. Indeed, those with a limited knowledge of cyber security will be able to develop a comprehensive understanding of the subject and will be guided into devising and implementing relevant policy, systems and procedures that make the organization better able to withstand the increasingly sophisticated forms of cyber attack. The book includes a sequence-of-events model; an organizational governance framework; a business continuity management planning framework; a multi-cultural communication moTrade Review’Cyberattacks are growing in volume and sophistication and will continue to do so. The authors believe that attacks will increase in severity before adequate solutions can be developed and deployed. The book will be most valuable to those implementing a cybersecurity program who need a strategic overview of what is required, and to those who have implemented such a program and wish to validate it.’ Security Management, August 2015Table of ContentsCyber Security Management

Read more less

Book SynopsisKnowledge Café is a process for creating, exchanging, and optimizing knowledge, whether in-person or virtual. This popular and practical knowledge management tool supports a culture where projects and innovation thrive.The Knowledge Café is a mindset and environment for engaging, discussing, and exchanging knowledge within a group either face to face or virtually. At the café, participants can discuss hard-to-solve project issues or resolve a family or community crisis. This metaphorical town square supports knowledge circulation and rejuvenation and increases its velocity—making it a breeding ground for innovation. The aha moments at one Knowledge Café can match the benefits of multiple conferences, workshops, and training put together. When knowledge management (KM) is part of an organization’s culture, performance improves, collaboration increases, and the competitive advantage accelerates. No one can force knowledge transfer. We must create the right environment where knowledge is freely shared, rewarded, and fun. This book demonstrates why the Knowledge Café is such an effective KM tool and shows how to design optimal café experiences and increase learning agility.  The premium on knowledge and agility has never been greater. This book offers a technique for managing knowledge toward the greater good. Tips; templates; practical and relatable experiences; case studies; and examples of knowledge brokers, creators, and sharers across cultures are sprinkled throughout the book to show how the café interfaces with other KM techniques and in different work and project spaces.  

Read more less

Book SynopsisWhy do people and groups ignore, deny and resist knowledge about society’s many problems? In a world of ‘alternative facts’, ‘fake news’ that some believe could be remedied by ‘factfulness’, the question has never been more pressing. After years of ideologically polarised debates on the topic, this book seeks to further advance our understanding of the phenomenon of knowledge resistance by integrating insights from the social, economic and evolutionary sciences. It identifies simplistic views in public and scholarly debates about what facts, knowledge and human motivations are and what ‘rational’ use of information actually means. The examples used include controversies about nature-nurture, climate change, gender roles, vaccination, genetically modified food and artificial intelligence. Drawing on cutting-edge scholarship and personal experiences of culture clashes, the book is aimed at the general, educated public as well as students and scholars interested in the interface of human motivation and the urgent social problems of today.Trade Review'At all levels of society, our world is becoming increasingly dominated by an inability, even refusal, to engage with others' ideas. It does not bode well either for democracy or for science. Mikael Klintman's book offers just the kind of in-depth exploration of the issues that surround this disturbing phenomenon that is desperately needed.'R. I. M. Dunbar, Emeritus Professor of Evolutionary Psychology, University of Oxford'Few things could be more important right now than trying to shed new light on "knowledge resistance" in the internet age. It may not be a new phenomenon, but with the way it impacts on our lives today, it is an existential threat to humanity. Mikael Klintman’s book provides valuable perspectives on knowledge resistance and suggests how we, as individuals and societies, can find ways to manage and prevent its harmful forms.'Björn Ulvaeus, musician and activist'A must-read, especially in these turbulent times. An insightful approach to a complex issue.'Nazli Choucri, Professor of Political Science, Massachusetts Institute of Technology -- .Table of Contents1 Introduction2 What knowledge resistance isn’t and a hint at what it is3 If you’re with us, don't believe them4 Why invalid claims can be valuable5 Knowledge belief first, confirming evidence second6 What’s in it for me to know that?7 When knowledge is responsibility and ignorance freedom8 What if the earth is round? Concerns about cultural consequences9 How to resist knowledge resistance – and when10 Is knowledge resistance always bad, and other questionsIndex

Read more less

Book SynopsisA decision support system (DSS) is a computer program used to support determinations, judgments, and courses of action in an organization or business. Chapter One provides an overview of model-driven DSSs and the utility and limits of these systems in real estate. Chapter Two reviews, classifies, and compares the DSSs for fund raising management with particular reference to the different considered approaches, the mathematical methods employed, the specific considered parts of the process, the requirements and the conclusions of the related studies, the applications utilised by non-profit organisations, the complexity and the usability of the systems, the numerical achieved results, and possible further developments. Chapter Three describes a DSS for vocational training organisations based on the Choquet integral, a well-founded and widely used technique for multicriteria decision making.Table of ContentsPreface; Decision Support Systems in Real Estate: History, Types and Applications; Decision Support Systems for the Management of the Fund Raising Process: A Review; A DSS to Evaluate the Mental Workload in Vocational Training Organizations Based on the Choquet Integral; Index.

Read more less

Book SynopsisHow the autonomous digital forces jolting our lives - as uncontrollable as the weather and plate tectonics - are transforming life, society, culture, and politics.David Auerbach's exploration of the phenomenon he has identified as the meganet begins with a simple, startling revelation: There is no hand on the tiller of some of the largest global digital forces that influence our daily lives: from corporate sites such as Facebook, Amazon, Google, YouTube, Instagram, and Reddit to the burgeoning metaverse encompassing cryptocurrencies and online gaming to government systems such as China's Social Credit System and India's Aadhaar.As we increasingly integrate our society, culture and politics within a hyper-networked fabric, Auerbach explains how the interactions of billions of people with unfathomably large online networks have produced a new sort of beast: ever-changing systems that operate beyond the control of the individuals, companies, and governments that created them.Meganets, Auerbach explains, have a life of their own, actively resisting attempts to control them as they accumulate data and produce spontaneous, unexpected social groups and uprisings that could not have even existed twenty years ago. And they constantly modify themselves in response to user behavior, resulting in collectively authored algorithms none of us intend or control. These enormous invisible organisms exerting great force on our lives are the new minds of the world, increasingly commandeering our daily lives and inner realities.Auerbach's analysis of these gargantuan opaque digital forces yield important insights such as:- The conventional wisdom that the Googles and Facebook of this world are tightly run algorithmic entities is a myth. No one is really in control.- The efforts at reform - to get lies and misinformation off meganets - run into a brick wall because the companies and executives who run them are trapped by the persistent, evolving, and opaque systems they have created.- Bitcoin and other cryptocurrencies are uncontrollable and their embrace by elite financial institutions threatens the entire economy- We are asking the wrong questions in assuming that if only the Facebooks of this world could be better regulated or broken up that they would be better, more ethical citizens- Why questions such as making algorithms fair and bias-free and whether AI can be a tool for good or evil are wrong and misinformedAuerbach then comes full circle, showing that while we cannot ultimately control meganets we can tame them through the counterintuitive measures he describes in detail.

Read more less

Book SynopsisThe introduction of digital applications into businesses has revolutionized the way employees and managers carry out their jobs while also benefiting them socially. Smartphone and App Implementations that Improve Productivity looks at the benefits of apps in the workplace and introduces academic perspectives that link prospective advantages with practical commercial examples. The analysis is structured into chapters that include real world application while at the same time critically assess implied benefits of the new app technology and draw out the main findings and conclusions. Tahir M. Nisar brings into focus the emerging role of digital applications and big data in enterprise decision making. Readers will learn how companies can achieve more efficiency and effectiveness in their business operations through new types of organizational design strategies and mechanisms of employee mobility and work-life balance that draw on digital apps.Table of ContentsPreface Chapter 1 Introduction Uber: A mobile application Performance evaluation – App rating system The drivers – not employees but partners Flexibility – a key word in Uber’s digital practices What it all comes down to Chapter outlines Chapter 2 Mobile Communications and Big Data Chapter 3 Management of Enterprise Resource Systems APP types Enterprise resource planning Large and small firms and apps Chapter 4 Technology and Firm capabilities Web-conferencing E-learning Supply-chain Marketing Sales force automation (SFA) Customer relationship management Retailing Personalization and unison Accessibility Transparency Chapter 5 Management Processes and Decision Making Management Knowledge Management Teams Work design Business process re-engineering Human resource management Control and coordination Motivation Communication Monitoring Training and worker skills Health and safety Strategy Chapter 6 Apps and Performance Outcomes Productivity Workplace efficiency Overhead costs Mobility Collaboration Creative labor Chapter 7 Mobility and Work-life Balance What is work-life balance? Chapter 8 New Digital Markets and Emerging Business Models Sharing economy Mobile banking Social media Chapter 9 Conclusion References

Read more less

Book SynopsisThis extraordinary book, written by leading players in a burgeoning technology revolution, is about the merger of finance and technology (fintech), and covers its various aspects and how they impact each discipline within the financial services industry. It is an honest and direct analysis of where each segment of financial services will stand. Fintech: The New DNA of Financial Services provides an in-depth introduction to understanding the various areas of fintech and terminology such as AI, big data, robo-advisory, blockchain, cryptocurrency, InsurTech, cloud computing, crowdfunding and many more. Contributions from fintech innovators discuss banking, insurance and investment management applications, as well as the legal and human resource implications of fintech in the future.Table of ContentsIntroduction Disruption of the Financial Services Industry Singapore as a Fintech Ecosystem Landscape of Fintech Startup Companies Technology and Tools VR, Mobile and Cloud Software Development Tools Data Science and Analysis Data Science and Big Data AI and Machine Learning Overview AI and Machine Learning Techniques Distributed Ledger Blockchain and DLT Blockchain Implementation Examples Cryptocurrencies and Bitcoin Banking and Insurance Applications Digital Payment Systems Asset Servicing—Corp Bk, Trade Fin, Ops, Setmt, Credit Lending and Crowdfunding InsurTech Investment Management Applications Roboadvisory and Asset Allocation Portfolio Management and Risk Analysis Capital Markets, Exchanges and Trading Regulation and Governance Applications Regulation: RegTech Cybersecurity and Cybercrime AML, Fraud Risk, Enterprise Risk, KYC Non-finance Applications HealthTech ConsumerTech Implications of Fintech Legal Implication of Fintech HR Implications of Fintech—People, Jobs, Skills, Locations

Read more less

Book SynopsisBig Data Analytics Methods unveils secrets to advanced analytics techniques ranging from machine learning, random forest classifiers, predictive modeling, cluster analysis, natural language processing (NLP), Kalman filtering and ensembles of models for optimal accuracy of analysis and prediction. More than 100 analytics techniques and methods provide big data professionals, business intelligence professionals and citizen data scientists insight on how to overcome challenges and avoid common pitfalls and traps in data analytics. The book offers solutions and tips on handling missing data, noisy and dirty data, error reduction and boosting signal to reduce noise. It discusses data visualization, prediction, optimization, artificial intelligence, regression analysis, the Cox hazard model and many analytics using case examples with applications in the healthcare, transportation, retail, telecommunication, consulting, manufacturing, energy and financial services industries. This book's state of the art treatment of advanced data analytics methods and important best practices will help readers succeed in data analytics.Table of ContentsIntroduction PART I: Big Data Analytics Chapter 1. Data Analytics Overview Chapter 2. Basic Data Analysis Chapter 3. Data Visualization Tools PART II: Advanced Analytics Methods Chapter 4. Natural Language Processing Chapter 5. Quantitative Analysis - Prediction and Prognostics Chapter 6. Advanced Analytics & Predictive Modeling Chapter 7. Ensemble of Models Chapter 8. Machine Learning, Deep Learning – Artificial Neural Networks Chapter 9. Model Accuracy & Optimization PART III: Case Study – Prediction & Advanced Analytics in Practice Chapter 10: Ensemble of Models – Medical Prediction Case Study Appendix A: Prognostics Methods Appendix B: A Neural Network Example Appendix C: Back Propagation Algorithm Derivation Appendix D: NeuroSolutions Software Description Appendix E: The Oracle Program References

Read more less

Book SynopsisUnlock the Potential in Your Employee Survey.You spend months crafting the right survey questions and planning how to share the results with senior leaders and managers. Then you anxiously anticipate the responses. But once the data trickle in, nothing happens, no one acts, and your employees wait and wait for change.What happened? When did the survey become just another “check the box” task for HR to administer and employees to fill out? In Engaging the Workplace, Sarah R. Johnson has scanned the diminishing state of the organizational survey and reached a profound, yet simple, conclusion: Companies don’t know why they want to conduct a survey, or how they plan to act on its results. As the big data movement took off, companies and their HR departments sought to capture, measure, and evaluate whatever data they could get their hands on. This led to more surveys - annual, semiannual, quarterly, pulse - all in the name of compiling more information and driving an engagement score. In theory, leaders could look at these frequent snapshots of how their employees were doing and determine what actions to take. But this increase in data has instead produced gridlock. Leaders put off next steps until the next survey and its results arrive, while employees lose faith in the survey’s potential to make a difference.With Engaging the Workplace, you can relaunch your survey process. When executed properly, the survey can enable leaders to make decisions based on data, rather than on fads, trends, or guesses. This means baking action planning into its design and ditching the one-size-fits-all trend in survey administration. After all, your company is not like any other. Use the survey to support the people analytics program you need and drive organizational excellence.

Read more less

Book SynopsisKnowledge Management Basics provides the fundamentals for organizations and how they can benefit from implementing solid knowledge management practices. This title focuses on the learning professional's role in executing and supporting a comprehensive approach to managing, organizational knowledge. The book includes a vetted process to help practitioners determine organizational needs, identify sources of information, assist in selecting organizational information gathering systems, lead the learning and understanding about information dissemination, and ensure proper maintenance of the system.Table of ContentsCh. 1: What is Knowledge Management (KM)?; Ch. 2: How Organizations Use Knowledge Management; Ch. 3: Determining Your Information Needs; Ch. 4: Locating Information Sources; Ch. 5: Selecting Information-Gathering Systems; Ch. 6: Compiling, Confirming, and Circulating the Knowledge; Ch. 7: Maintaining Your KM System; Ch. 8: Tools and Resources; Ch. 9: Best Practices in KM; Ch. 10: Conclusion; Appendix/Index.

Read more less

Book SynopsisA Simple, Effective Approach to Attaining Learning and Performance ResultsJob aids are often the most practical way to get quick performance improvement, particularly in time-pressured, resource-constrained situations. Not sure where to begin, or even if a job aid is the right choice? Job Aids Basics will teach you everything you need to know about selecting, creating, and using job aids.In this revised second edition, author Joe Willmore has included new examples of how to use job aids, as well as a new chapter on creating job aids for mobile devices. This is in addition to his step-by-step guide to determining the right job aid format for any situation, developing it using proven best practices, and implementing it in a way that ensures people will actually use it on the job. Willmore also gives you an evaluation process to determine if the job aid accomplished the business objectives you set out to meet.Each chapter contains insightful tips and tricks to help you avoid common mistakes people make when designing a job aid. There are also exercises at the end of every chapter so you can practice what you’ve learned. And as with all books in ATD’s Training Basics series, icons will alert you to essential concepts and definitions. Go from novice job aid designer to expert by adding this crucial resource to your training toolkit.

Read more less

Book SynopsisWritten by experts in the field, this indispensable guide provides a services-patterns approach to transforming IT infrastructures to a virtualized state to derive compelling business value for organizations. Thorough and informative, this account will demonstrate how businesses can become more productive in managing overall costs, more agile in provisioning new business services and improving time to market, more proactive in catering to rapidly changing business models and client demands, and more charged as an engine for fueling business growth.

Read more less

Book SynopsisSelected Readings on Information Technology Management: Contemporary Issues supplies students and lecturers with quality research articles focusing on a variety of contemporary issues related to topics in information technology management. Containing over 30 chapters from authors across the globe, these selected readings in areas such as information systems, knowledge management, and IT governance depict the most relevant and important areas of classroom discussion within the categories of fundamental concepts and theories; development and design methodologies; tools and technologies; application and utilization; critical issues; and emerging trends.

Read more less

Book SynopsisSelect, Implement, and Operate the Perfect LMSIf you need to manage training and education programs for employees, customers, or students, you need an LMS. Don’t waste time and money picking the wrong one.The LMS Guidebook gets to the core of what an LMS does and how it works. This book tackles the urgent challenges you will face when putting an LMS in place: Which features are must-haves? What standards should your LMS comply with to mesh with your other technology systems? How do you migrate existing learning data into your new LMS? How can you ensure an uneventful rollout?Not all LMS products will meet your needs. E-learning consultant Steve Foreman offers a broad view of the LMS categories and features so you can ask better questions of vendors and evaluate their products. He then turns to implementation and operation, offering in-depth guidance on how to establish appropriate standards, processes, and governance that will have your LMS running smoothly.Whether you’re on the instructional or technical side of the LMS, you can make the job of selecting and managing one less painful by following the proven practices in this book.

Read more less

Book SynopsisOrganizational ethics involves the institutionalized principles, guidelines, and norms that influence how a company and its employees function in an ethical manner. Ultimately, these processes collectively influence a firm's 1) overall sense of business ethics, 2) management of employees, and 3) interactions with partners outside of the immediate work environment. Researcher and practitioners are interested in organizational ethics because the different approaches used to develop such a context generate many other positive business outcomes.While the connection between organizational ethics and employee/stakeholder well-being has been explored, moving forward with a number of new investigations should push the literature forward. This book seeks to explore these important topics and present a more comprehensive overview of organizational ethics and stakeholder well-being in the business environment. Such inquiry is important because the linkages between business ethics and stakeholders, if well-managed, have the capacity to benefit both companies and employees. In addition, the content of this book should serve to guide future investigations within this area of business ethics.

Read more less

Book SynopsisOrganizational ethics involves the institutionalized principles, guidelines, and norms that influence how a company and its employees function in an ethical manner. Ultimately, these processes collectively influence a firm's 1) overall sense of business ethics, 2) management of employees, and 3) interactions with partners outside of the immediate work environment. Researcher and practitioners are interested in organizational ethics because the different approaches used to develop such a context generate many other positive business outcomes.While the connection between organizational ethics and employee/stakeholder well-being has been explored, moving forward with a number of new investigations should push the literature forward. This book seeks to explore these important topics and present a more comprehensive overview of organizational ethics and stakeholder well-being in the business environment. Such inquiry is important because the linkages between business ethics and stakeholders, if well-managed, have the capacity to benefit both companies and employees. In addition, the content of this book should serve to guide future investigations within this area of business ethics.

Read more less

Book SynopsisIs the invention of accounting so useful that, as Charlie Munger once said, “you have to know accounting. It's the language of practical business life. It was a very useful thing to deliver to civilization. I've heard it came to civilization through Venice which of course was once the great commercial power in the Mediterranean”? (WOO 2013)This positive view on accounting can be contrasted with an opposing view by Paul Browne that “the recent [accounting] scandals have brought a new level of attention to the accounting profession as gatekeepers and custodians of social interest.” (DUM 2013)Contrary to these opposing views (and other ones as will be discussed in the book), accounting (in relation to addition and subtraction) are neither possible (or impossible) nor desirable (or undesirable) to the extent that the respective ideologues (on different sides) would like us to believe.Of course, this reexamination of different opposing views on accounting does not mean that the study of addition and subtraction is useless, or that those fields (related to accounting)—like bookkeeping, auditing, forensics, info management, finance, philosophy of accounting, accounting ethics, lean accounting, mental accounting, environmental audit, creative accounting, carbon accounting, social accounting, and so on—are unimportant. (WK 2013) In fact, neither of these extreme views is plausible.Rather, this book offers an alternative (better) way to understand the future of accounting in regard to the dialectic relationship between addition and subtraction—while learning from different approaches in the literature but without favoring any one of them (nor integrating them, since they are not necessarily compatible with each other). More specifically, this book offers a new theory (that is, the double-sided theory of accounting) to go beyond the existing approaches in a novel way and is organized in four chapters.This seminal project will fundamentally change the way that we think about accounting in relation to addition and subtraction from the combined perspectives of the mind, nature, society, and culture, with enormous implications for the human future and what I originally called its “post-human” fate.

Read more less

Book SynopsisIs the invention of accounting so useful that, as Charlie Munger once said, “you have to know accounting. It's the language of practical business life. It was a very useful thing to deliver to civilization. I've heard it came to civilization through Venice which of course was once the great commercial power in the Mediterranean”? (WOO 2013)This positive view on accounting can be contrasted with an opposing view by Paul Browne that “the recent [accounting] scandals have brought a new level of attention to the accounting profession as gatekeepers and custodians of social interest.” (DUM 2013)Contrary to these opposing views (and other ones as will be discussed in the book), accounting (in relation to addition and subtraction) are neither possible (or impossible) nor desirable (or undesirable) to the extent that the respective ideologues (on different sides) would like us to believe.Of course, this reexamination of different opposing views on accounting does not mean that the study of addition and subtraction is useless, or that those fields (related to accounting)—like bookkeeping, auditing, forensics, info management, finance, philosophy of accounting, accounting ethics, lean accounting, mental accounting, environmental audit, creative accounting, carbon accounting, social accounting, and so on—are unimportant. (WK 2013) In fact, neither of these extreme views is plausible.Rather, this book offers an alternative (better) way to understand the future of accounting in regard to the dialectic relationship between addition and subtraction—while learning from different approaches in the literature but without favoring any one of them (nor integrating them, since they are not necessarily compatible with each other). More specifically, this book offers a new theory (that is, the double-sided theory of accounting) to go beyond the existing approaches in a novel way and is organized in four chapters.This seminal project will fundamentally change the way that we think about accounting in relation to addition and subtraction from the combined perspectives of the mind, nature, society, and culture, with enormous implications for the human future and what I originally called its “post-human” fate.

Read more less

Book SynopsisTODAY'S LEADERS KNOW THAT SPEED and agility are the keys to any company's success, and yet many are frustrated that their organizations can't move fast enough to stay competitive. The typical chain of command is too slow; internal resources are too limited; people are already executing beyond normal expectations. As the pace accelerates, how do you inspire people's energy and creativity? How do you collaborate with customers, vendors, and partners to keep your organization on the cutting edge? What kind of organization matches the speed and complexity that businesses must master--and how do you build that organization? Jim Whitehurst, CEO of Red Hat, one of the world's most revolutionary companies, shows how open principles of management--based on transparency, participation, and community--reinvent the organization for the fast-paced connected era. Whitehurst gives readers an insider's look into how an open and innovative organizational model works. He shows how to leverage it to build community, respond quickly to opportunities, harness resources and talent both inside and outside the organization, and inspire, motivate, and empower people at all levels to act with accountability. The Open Organization is a must-read for leaders struggling to adapt their management practices to the values of the digital and social age. Brimming with Whitehurst's personal stories and candid advice for leading an open organization, as well as with instructive examples from employees and managers at Red Hat and companies such as Google, The Body Shop, and Whole Foods, this book provides the blueprint for reinventing your organization.Trade Review"If you're looking for a good business book to dive into, add this to your list." -- The Huffington Post "CEO Jim Whitehurst's The Open Organization is the best business book of the year." -- Seeking Alpha (seekingalpha.com) ADVANCE PRAISE for The Open Organization: MICHAEL DELL, Chairman and CEO, Dell-- "In The Open Organization, Jim Whitehurst clearly demonstrates how building avidly engaged communities of employees, partners, and customers can ignite the kind of passion and innovation that drive outsized results for businesses and for society as a whole. This is a great read for anyone hoping to lead and succeed in a society being redefined by expectations of transparency, authenticity, access--and yes, openness." CHRIS ANDERSON, Cofounder and CEO, 3D Robotics; former Editor in Chief, Wired magazine-- "In a wired world, everyone knows that management needs to change from 'command and control' to leadership based on transparency, collaboration, and participation. But the question is, how do you actually lead that way? Jim Whitehurst's interesting tale of his own reinvention as a leader, with lessons from other leaders in companies such as Whole Foods, Pixar, and Zappos, finally provides the blueprint that leaders have been seeking." JEANIE DANIEL DUCK, Former Senior Partner and Managing Director, The Boston Consulting Group; author, The Change Monster-- "Many people are wary of change. For executives who worry about Millennial employees and the power of the internet, it is scary indeed. Yet those same employees could offer valuable new perspectives, ideas, and passion. The question is, how do today's managers capture those desirable attributes without setting off the perfect storm? The answers are in Jim Whitehurst's book." CHARLENE LI, Founder and CEO, Altimeter Group; author, The Engaged Leader and Open Leadership-- "In today's disruptive economy, only the leaders--and their organizations--who are open and learn to adapt to the fast-changing needs of customers and employees will survive. Whitehurst speaks from personal experience about what works--and what doesn't--to foster openness and speed. If you have even an inkling of a desire to lead an innovative, fast-moving, and engaged organization, this book is for you." JOHN CHAMBERS, Chairman and CEO, Cisco-- "With The Open Organization, Whitehurst takes us where all leaders need to be if we want to succeed in the future--outside of our traditional comfort zones."

Read more less

Book SynopsisMore than ever, data drives decisions in organizatons - and we have more data, and more ways to analyze it, than ever.  Yet strategic initiatives continue to fail as often as they did when computers ran on punch cards, Economist and research scientist Alec Levenson says we need a new approach.The problem, Levenson says, is that the business people who devise the strategies and the human resources people who get employees to implement them use completely different analytics. Business Analytics can determine if operational priorities aren't being achieved but can't explain why. HR analytics reveal potentially helpful policy and process improvements but can't identify which would have the greatest strategic impact.This book shows how to use an integrated approach to bring these two pieces together. Levenson presents a thorough and realistic treatment of the reasons for and challenges of taking an integrated approach. Heprovides details on the different parts of both enterprise and human capital analytics that have to be conducted for integration to be successful and includes specific questions to ask, along with examples of applying integrated analytics to address particular organizational challenges.Effective analytics is a team sport. Levenson's approach allows you to get the deepest insights by bringing people together from both the business and HR perspectives to assess what's going on and determine the right solution.

Read more less

Book Synopsis

Read more less

Book Synopsis"Should be read by anyone interested in understanding the future," The Times Literary Supplement raved about the original edition of The Social Life of Information. We're now living in that future, and one of the seminal books of the Internet Age is more relevant than ever. The future was a place where technology was supposed to empower individuals and obliterate social organizations. Pundits predicted that information technology would obliterate the need for almost everything--from mass media to bureaucracies, universities, politics, and governments. Clearly, we are not living in that future. The Social Life of Information explains why. John Seely Brown and Paul Duguid show us how to look beyond mere information to the social context that creates and gives meaning to it. Arguing elegantly for the important role that human sociability plays, even--perhaps especially--in the digital world, The Social Life of Information gives us an optimistic look beyond the simplicities of information and individuals. It shows how a better understanding of the contribution that communities, organizations, and institutions make to learning, working, and innovating can lead to the richest possible use of technology in our work and everyday lives. With a new introduction by David Weinberger and reflections by the authors on developments since the book's first publication, this new edition is essential reading for anyone seeking to understand the human place in a digital world.Trade ReviewPraise for The Social Life of Information:“A thoughtful and challenging read that belongs on the bookshelf of anyone trying to invent or make sense of the new world of information.” — Amazon“Essential Reading for Modern Managers” — Businessweek“An intellectual gem” — Publisher’s Weekly“This deserves to be one of the best-read books of the internet age.” — The Financial Times“The Social Life of Information will help technologists keep an eye on the bigger picture and avoid the tunnel vision that can lead promising companies down blind alleys.”
 — Eric Schmidt

Read more less

Book Synopsis

Read more less

Book SynopsisLearn how big data and other sources of information can be transformed into valuable knowledge -- knowledge that can create incredible competitive advantage to propel a business toward market leadership. Learn through examples and experience exactly how to pick projects and build analytics teams that deliver results. Know the ethical and privacy issues, and apply the three-part litmus test of context, permission, and accuracy. Without a doubt, data and analytics are the new source of competitive advantage, but how do executives go from hype to action? Thats the objective of this book -- to assist executives in making the right investments in the right place and at the right time in order to reap the full benefits of data analytics.

Read more less