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"Olson, David L."
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Data mining models
Data mining has become the fastest growing topic of interest in business programs in the past decade. This book is intended to first describe the benefits of data mining in business, describe the process and typical business applications, describe the workings of basic data mining models, and demonstrate each with widely available free software. This second edition updates Chapter 1, and adds more details on Rattle data mining tools. The book focuses on demonstrating common business data mining applications. It provides exposure to the data mining process, to include problem identification, data management, and available modeling tools. The book takes the approach of demonstrating typical business data sets with open source software. KNIME is a very easy-to-use tool, and is used as the primary means of demonstration. R is much more powerful and is a commercially viable data mining tool. We will demonstrate use of R through Rattle. We also demonstrate WEKA, which is a highly useful academic software, although it is difficult to manipulate test sets and new cases, making it problematic for commercial use. We will demonstrate methods with a small but typical business dataset. We use a larger (but still small) realistic business dataset for Chapter 9.
Book
Convergenomics
Convergenomics is about the megatrends that are shaping how people behave and organizations work. In this insightful analysis, Sang Lee and David Olson describe how globalization, digitization, changing demographics, changing industry mix, deregulation and privatization, commoditization of processes, new value chains, emerging new economies, deteriorating environment, and cultural conflicts have led to what they define as a convergence revolution. Lee and Olson discuss this convergence revolution from the perspectives of technology, industry, knowledge, open-source networking and bio-artificial convergence, and they explain how human systems are transformed by what they have named convergenomics. Understanding convergenomics can lead to innovative strategic approaches and, the authors contend, more agile businesses are already employing these approaches to become and remain competitive and to generate greater value in a world radically changed by e-commerce. Business leaders and 'students' of strategy at all levels will learn from this book how revolutionary developments can be embraced rather than feared, and how technology that is potentially frightening in its complexity can be harnessed and used to enable productive collaboration and gain competitive advantage.
eBook
Quantitative Tools of Project Management
This book addresses the use of quantitative tools to support general project management.
Part I of the book deals with critical path modeling. Part II discusses risk modeling tools to include Program Evaluation and Review Technique (PERT), critical chain modeling, and agile/scrum approaches. Project control through earned value analysis is also covered. Part III is a Microsoft Project orientation. A feature of the book is an effort to tie content to that of the Project Management Body of Knowledge (PMBOK).
Each chapter includes reference to how each chapter relates to the PMBOK structure and its relationship to the 2020 Project Management Professional (PMP) Exam Outline.
eBook
Core Concepts of Project Management
This book addresses project management in the context of general project management.An introductory chapter discusses project features in general. Part I of the book focuses attention on the important human element in project management. Part II discusses two processes involved in the initial project definition stage, as well as covering estimation. Part III involves planning and project risk and implementation.A feature of the book is an effort to tie content to that of the Project Management Body of Knowledge (PMBOK). Each chapter includes reference to how each chapter relates to the PMBOK structure, and relationship to the 2020 PMP Exam Outline.
eBook
Co-innovation: convergenomics, collaboration, and co-creation for organizational values
Purpose - The aim of this paper is to present a macro view of the evolution of innovation for value creation, from the closed to collaborative, open, and now co-innovation. It reviews several mega trends that have dramatically changed the dynamic nature of the global market place and also several new forces that have made innovation imperative for organizational value creation.Design methodology approach - The paper provides a conceptual overview of co-innovation through some of its basic elements such as convergence revolution, collaboration, and co-creation with stakeholders.Findings - Co-innovation is a new innovation paradigm where new ideas and approaches from various internal and external sources are integrated in a platform to generate new organizational and shared values. The core of co-innovation includes engagement, co-creation, and compelling experience for value creation. Thus, the practices of co-innovative organizations are difficult to imitate by competition.Practical implications - Innovation is imperative for organizational survival in today's turbulent global market. This conceptual paper presents many real-world examples of co-innovative firms' strategies that can provide new insights for follower organizations.Social implications - Innovation is a universal strategy for every organization, be it a firm, non-profit organization, or even a government agency. The new innovation approaches suggested in the paper can contribute to social reforms such as creating shared value for all stakeholders.Originality value - This is an original paper that presents a broad-stroke direction and vision for new organizational strategies for innovation.
Journal Article
Data Mining Models, Second Edition
Data mining has become the fastest growing topic of interest in business programs in the past decade. This book is intended to describe the benefits of data mining in business, the process and typical business applications, the workings of basic data mining models, and demonstrate each with widely available free software. The book focuses on demonstrating common business data mining applications. It provides exposure to the data mining process, to include problem identification, data management, and available modeling tools. The book takes the approach of demonstrating typical business data sets with open source software. KNIME is a very easy-to-use tool, and is used as the primary means of demonstration. R is much more powerful and is a commercially viable data mining tool. We also demonstrate WEKA, which is a highly useful academic software, although it is difficult to manipulate test sets and new cases, making it problematic for commercial use.
eBook
Data mining models
Cover -- Contents -- Acknowledgments -- Chapter 1: Data Mining in Business -- Chapter 2: Business Data Mining Tools -- Chapter 3: Data Mining Processes and Knowledge Discovery -- Chapter 4: Overview of Data Mining Techniques -- Chapter 5: Data Mining Software -- Chapter 6: Regression Algorithms in Data Mining -- Chapter 7: Neural Networks in Data Mining -- Chapter 8: Decision Tree Algorithms -- Chapter 9: Scalability -- Notes -- References -- Index -- Adpage -- Backcover.
Book
Supply Chain Risk Management, Second Edition
The supply chain management field is one of the fastestgrowing fields in our economy, given the heavygrowth in international trade as a means to accessoutsourced production opportunities to lower costsand the growth in information technology to coordinatesupply chains. However, this opportunity to lowercosts entails significant risks, such as tsunamis, earthquakes,political unrest, and economic turbulence.This book discusses risks in supply chain management,followed by graphic and quantitative tools (riskmatrices, selection methods, risk simulation modelling,linear programming, and business scorecardanalysis) to help manage these risks.
eBook
Supply Chain Information Technology, Second Edition
The rapid growth in computer technology providessupply chain managers with valuable tools to bettercoordinate and control their operations. This bookseeks to describe systems available to give supplychains information system support, demonstratingkey tasks with demonstrated analytic techniques.This second edition provides you with newer cases todemonstrate concepts that will allow to better manageyour supply chain management position in one of thefastest growing fields in our economy.
eBook