Modelling Value

The publication contains a selection of the best double-blind reviewed papers presented, discussed and revised by participants of the 1st International Conference on Value Chain Management in Austria, Steyr, May 2011. The Value Chain Management (VCM) Conference presents scientific insights relevant to management as well as their translation into the practice of management. The conference focus is on the demand chain i.e. sales, production, purchasing, logistics, performance measurement and customer value management. The authors present analytical and conceptual articles as well as empirical studies showing multidisciplinary and intercultural approaches towards solving relevant open problems.

How to navigate your strategy journey in business using a five model framework and methodology that teaches you to play 'SMART' and 'win' in the game of business and career ascension.

Extreme Value Modeling and Risk Analysis: Methods and Applications presents a broad overview of statistical modeling of extreme events along with the most recent methodologies and various applications. The book brings together background material and advanced topics, eliminating the need to sort through the massive amount of literature on the subje

Learn how to use R to turn raw data into insight, knowledge, and understanding. This book introduces you to R, RStudio, and the tidyverse, a collection of R packages designed to work together to make data science fast, fluent, and fun. Suitable for readers with no previous programming experience, R for Data Science is designed to get you doing data science as quickly as possible. Authors Hadley Wickham and Garrett Grolemund guide you through the steps of importing, wrangling, exploring, and modeling your data and communicating the results. You'll get a complete, big-picture understanding of the data science cycle, along with basic tools you need to manage the details. Each section of the book is paired with exercises to help you practice what you've learned along the way. You'll learn how to: Wrangle—transform your datasets into a form convenient for analysis Program—learn powerful R tools for solving data problems with greater clarity and ease Explore—examine your data, generate hypotheses, and quickly test them Model—provide a low-dimensional summary that captures true "signals" in your dataset Communicate—learn R Markdown for integrating prose, code, and results

Value Creation from E-Business Models provides a thorough analysis of what constitutes an e-business model. Unlike many e-business books available, this text draws together theoretical and empirical contributions from leading academic scholars in the field of management information systems. Divided into four parts, E-Business Models and Taxonomies; E-Business Markets; E-Business Customer Performance Measurement; and E-Business Vendor Applications and Services, this book is the critical dissection of E-Business that today's academic community needs. * World class academic contributors brought together in one volume * Demonstrates that there are e-business models which create value for customers and vendors alike * Learn from the lessons of the past five years in developing and implementing e-business models

This book is about making machine learning models and their decisions interpretable. After exploring the concepts of interpretability, you will learn about simple, interpretable models such as decision trees, decision rules and linear regression. Later chapters focus on general model-agnostic methods for interpreting black box models like feature importance and accumulated local effects and explaining individual predictions with Shapley values and LIME. All interpretation methods are explained in depth and discussed critically. How do they work under the hood? What are their strengths and weaknesses? How can their outputs be interpreted? This book will enable you to select and correctly apply the interpretation method that is most suitable for your machine learning project.

Following in the footsteps of its bestselling predecessor, Kevin J. Duggan, an executive mentor and recognized authority on Lean and Operational Excellence, draws on more than 10 years of experience and learning to provide Creating Mixed Model Value Streams, Second Edition. This second edition takes a step-by-step approach to implementing Lean in c