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R For Marketing Research and Analytics

R For Marketing Research and Analytics

Chris Chapman; Elea McDonnell Feit

Springer Nature Switzerland AG
2019
nidottu
The 2nd edition of R for Marketing Research and Analytics continues to be the best place to learn R for marketing research. This book is a complete introduction to the power of R for marketing research practitioners. The text describes statistical models from a conceptual point of view with a minimal amount of mathematics, presuming only an introductory knowledge of statistics. Hands-on chapters accelerate the learning curve by asking readers to interact with R from the beginning. Core topics include the R language, basic statistics, linear modeling, and data visualization, which is presented throughout as an integral part of analysis.Later chapters cover more advanced topics yet are intended to be approachable for all analysts. These sections examine logistic regression, customer segmentation, hierarchical linear modeling, market basket analysis, structural equation modeling, and conjoint analysis in R. The text uniquely presents Bayesian models with a minimally complex approach, demonstrating and explaining Bayesian methods alongside traditional analyses for analysis of variance, linear models, and metric and choice-based conjoint analysis. With its emphasis on data visualization, model assessment, and development of statistical intuition, this book provides guidance for any analyst looking to develop or improve skills in R for marketing applications.The 2nd edition increases the book’s utility for students and instructors with the inclusion of exercises and classroom slides. At the same time, it retains all of the features that make it a vital resource for practitioners: non-mathematical exposition, examples modeled on real world marketing problems, intuitive guidance on research methods, and immediately applicable code.
R&D Management in the Knowledge Era

R&D Management in the Knowledge Era

Springer Nature Switzerland AG
2019
sidottu
This volume explores emerging models, methods and tools in the management of research and development (R&D) in the knowledge era, with a particular focus on the challenges of the emerging technologies. The contributions are organized in five parts. Part I, Managing Emerging Technologies, provides methods and tools to understand the challenges created by the emergence of new technologies. Part II, Technology and Engineering Management Tools and Policies, explores different technology and engineering tools, including topics such as product concept development, design, selection and adoption, using technology roadmaps and bibliometrics. Part III, Technological Innovation and Entrepreneurship, explores R&D, knowledge transfer and entrepreneurial education. Part IV, Commercialization of Technological Innovations, explores the development and application of the technology transfer process which allows managers to succeed in commercializing the outcomes of R&D projects. Part V,Managing the Engineering Enterprise, explores the effect economic decision-making, leadership styles, change management and quality management have on an organization’s ability to plan and execute initiatives and projects. Research and Development has always played a critical role in the engineering and technology focused industries. In an era of big data and smart applications, knowledge has become a key enabler for R&D. Managing R&D in the knowledge era requires use of key tools and methods. However, emerging technologies pose many challenges and cause uncertainties or discontinuities, which make the task of managing R&D even more difficult. This book will examine these challenges and provide tools and methods to overcome them. Exploring such industries as automotive, healthcare, business intelligence, energy and home appliances, this book is a valuable resource for academics, scholars, professionals and leaders in innovation, R&D, technology, and engineering management.
R&D Management in the Knowledge Era

R&D Management in the Knowledge Era

Springer Nature Switzerland AG
2020
nidottu
This volume explores emerging models, methods and tools in the management of research and development (R&D) in the knowledge era, with a particular focus on the challenges of the emerging technologies. The contributions are organized in five parts. Part I, Managing Emerging Technologies, provides methods and tools to understand the challenges created by the emergence of new technologies. Part II, Technology and Engineering Management Tools and Policies, explores different technology and engineering tools, including topics such as product concept development, design, selection and adoption, using technology roadmaps and bibliometrics. Part III, Technological Innovation and Entrepreneurship, explores R&D, knowledge transfer and entrepreneurial education. Part IV, Commercialization of Technological Innovations, explores the development and application of the technology transfer process which allows managers to succeed in commercializing the outcomes of R&D projects. Part V,Managing the Engineering Enterprise, explores the effect economic decision-making, leadership styles, change management and quality management have on an organization’s ability to plan and execute initiatives and projects. Research and Development has always played a critical role in the engineering and technology focused industries. In an era of big data and smart applications, knowledge has become a key enabler for R&D. Managing R&D in the knowledge era requires use of key tools and methods. However, emerging technologies pose many challenges and cause uncertainties or discontinuities, which make the task of managing R&D even more difficult. This book will examine these challenges and provide tools and methods to overcome them. Exploring such industries as automotive, healthcare, business intelligence, energy and home appliances, this book is a valuable resource for academics, scholars, professionals and leaders in innovation, R&D, technology, and engineering management.
R. Edward Freeman’s Selected Works on Stakeholder Theory and Business Ethics
Ed Freeman’s influential ideas on stakeholder theory, business ethics, humanities, and capitalism became foundational in the management field and turned around the mainstream thinking about business. Stakeholder theory developed by Freeman and others posits that business is not as much about profits, but rather about creating value for its stakeholders, including employees, customers, communities, financiers, and suppliers. The relationship between a company and its stakeholders is the essence of business and should be of utmost attention to its managers. Managers should avoid resorting to trade-offs by prioritizing one stakeholder group (e.g., shareholders) over the others and strive to run their companies in the interests of all stakeholders. The idea of pursuing the interests of all stakeholders became revolutionary in management and went far beyond the management field, expanding to Law, Health Care, Education, Public Policy and Administration, and Environmental Policy. This book is a collection of Ed Freeman’s most influential and important works on stakeholder theory as well as business ethics, humanities, and capitalism.
R. Edward Freeman’s Selected Works on Stakeholder Theory and Business Ethics
Ed Freeman’s influential ideas on stakeholder theory, business ethics, humanities, and capitalism became foundational in the management field and turned around the mainstream thinking about business. Stakeholder theory developed by Freeman and others posits that business is not as much about profits, but rather about creating value for its stakeholders, including employees, customers, communities, financiers, and suppliers. The relationship between a company and its stakeholders is the essence of business and should be of utmost attention to its managers. Managers should avoid resorting to trade-offs by prioritizing one stakeholder group (e.g., shareholders) over the others and strive to run their companies in the interests of all stakeholders. The idea of pursuing the interests of all stakeholders became revolutionary in management and went far beyond the management field, expanding to Law, Health Care, Education, Public Policy and Administration, and Environmental Policy. This book is a collection of Ed Freeman’s most influential and important works on stakeholder theory as well as business ethics, humanities, and capitalism.
R for Political Science Research

R for Political Science Research

Jane L. Sumner

Springer International Publishing AG
2025
sidottu
This text teaches basic R skills to political science students with no programming background. Intended specifically for the students who need to learn R for a class and who have no interest in R or may even be afraid of or hostile to it, this text builds an awareness of basics, confidence, and a skill set necessary to transition into more advanced texts. To that end, in addition to standard topics, this book includes three chapters specific to the new or reluctant learner. The Introduction explicitly sets expectations for how to use the book and discusses fixed and growth mentalities, and why a growth mentality is crucial for learning R. Chapter 1 includes some basic information on programming, R, and their place in political science research. Chapter 2 explicitly discusses errors, warnings, and methods of debugging. Further chapters build on this by including new errors or warnings that students may encounter as they progress. In service of the aim to give students a solid foundation in R and awareness of what it is and can do, this book teaches and uses both tidyverse and base R frameworks throughout. After completing the book, students should be prepared to learn more advanced materials.
R by Example

R by Example

Jim Albert; Maria Rizzo

Springer International Publishing AG
2024
nidottu
Now in its second edition, R by Example is an example-based introduction to the statistical computing environment that does not assume any previous familiarity with R or other software packages. R functions are presented in the context of interesting applications with real data. The purpose of this book is to illustrate a range of statistical and probability computations using R for people who are learning, teaching, or using statistics. Specifically, it is written for users who have covered at least the equivalent of (or are currently studying) undergraduate level calculus-based courses in statistics. These users are learning or applying exploratory and inferential methods for analyzing data, and this book is intended to be a useful resource for learning how to implement these procedures in R. The new edition includes expanded coverage of ggplot2 graphics, as well as new chapters on importing data and multivariate data methods.
R&D Management and Technology Commercialization

R&D Management and Technology Commercialization

Orestis Georgiou; Mykola Maksymenko; Stephen Russo

Springer International Publishing AG
2025
sidottu
Industrial spending for research and development (R&D) initiatives is growing globally year on year, from both public and private investments. As this spending grows, so does the complexity of R&D organizations and processes. Hence, high-quality R&D management becomes increasingly important to streamline R&D processes. Intended for R&D managers and technology leaders in small, medium, and large enterprises, this book addresses questions such as how to align R&D with broader organizational needs, best practices for R&D hiring and team-building, how to select which metrics to be measured, and the process of moving a technology from the laboratory to the market.
R Applications in Earth Sciences

R Applications in Earth Sciences

Lukasz Pawlik

Springer International Publishing AG
2025
sidottu
This textbook helps to understand the real Earth data with the practical application of many handy R tools and techniques. R language and thousands of R packages can be used to solve the most sophisticated scientific problems. The book provides insights to the various approaches to Earth-related data analysis, starting from data preparation and validation, exploratory data analysis, linear regression, and going through time series decomposition, modeling, and prediction. In addition, the book introduces machine learning techniques and their application to some real problems. Along with a profound explanation of the datasets and theoretical considerations of the methods, the book offers a way of solving practical problems lying at the frontline of modern data analysis in physical geography, soils, and climate science.
R Coding for Ecology

R Coding for Ecology

Springer International Publishing AG
2025
nidottu
This book is devoted to ecological data analysis with R, with examples created by the developers of the described packages. R software is now an important reality in ecological informatics. Specific packages have been developed to manage, analyse and visualize ecological data. This book is a comprehensive catalogue of ecological R packages with running examples! This step-by-step procedure book is aimed at students and researchers with previous experience in R with a passion for coding their own ecological analyses.
R. Buckminster Fuller - Pattern-Thinking

R. Buckminster Fuller - Pattern-Thinking

Daniel López-Pérez

Lars Muller Publishers
2019
nidottu
'Pattern-Thinking' reassesses the work of Buckminster Fuller - unique hybrid between theoretician, architect, designer, educator, inventor, and author - as advancing contemporary models of design-research, practice, and pedagogy. Drawing extensively on Fuller’s archive, the book follows his unique process of translation between the physical and conceptual dimensions of design, to redefine our understanding of the relationships between geometry, structure, language, and intellectual property. Rather than being organised around a chronology of distinct narratives, 'Pattern-Thinking' follows these parallel explorations as the basis for Fuller’s artifacts and inventions. In the space between lines, models, words, and patents, it traces his ambition to measure physical experience in an ever-expanding pattern of relationships, while coordinating these into a conceptual network of words and concepts that shape the basis for his thinking. Advocating a multidisciplinary and political perspective, Fuller’s transversal logic expands the knowledge base of contemporary models of design, which seek to find broader participation and to address new publics.