Peter C. Verhoef

This book is a refreshingly practical yet theoretically sound roadmap to leveraging data analytics and data science. The vast amount of data generated about us and our world is useless without plans and strategies that are designed to cope with its size and complexity, and which enable organizations to leverage the information to create value in marketing.Creating Value with Data Analytics in Marketing provides a nuanced view of big data developments and data science, arguing that big data is not a revolution but an evolution of the increasing availability of data that has been observed in recent times. Building on the authors’ extensive academic and practical knowledge, this book aims to provide managers and analysts with strategic directions and practical analytical solutions on how to create value from existing and new big data. The second edition of this bestselling text has been fully updated in line with developments in the field and includes a selection of new, international cases and examples, exercises, techniques and methodologies.Tying data and analytics to specific goals and processes for implementation makes this essential reading for advanced undergraduate and postgraduate students and specialists of data analytics, marketing research, marketing management and customer relationship management.Online resources include chapter-by-chapter lecture slides and data sets and corresponding R code for selected chapters.

This book is a refreshingly practical yet theoretically sound roadmap to leveraging data analytics and data science. The vast amount of data generated about us and our world is useless without plans and strategies that are designed to cope with its size and complexity, and which enable organizations to leverage the information to create value in marketing.Creating Value with Data Analytics in Marketing provides a nuanced view of big data developments and data science, arguing that big data is not a revolution but an evolution of the increasing availability of data that has been observed in recent times. Building on the authors’ extensive academic and practical knowledge, this book aims to provide managers and analysts with strategic directions and practical analytical solutions on how to create value from existing and new big data. The second edition of this bestselling text has been fully updated in line with developments in the field and includes a selection of new, international cases and examples, exercises, techniques and methodologies.Tying data and analytics to specific goals and processes for implementation makes this essential reading for advanced undergraduate and postgraduate students and specialists of data analytics, marketing research, marketing management and customer relationship management.Online resources include chapter-by-chapter lecture slides and data sets and corresponding R code for selected chapters.

Presents an overview of and draws conclusions from extant studies related to multichannel retailing. Academic interest in this topic has increased dramatically, with a large number of new articles being published on this topic as retailers have adopted additional new channels and new channel technologies with unique characteristics, which has further increased the complexity of multichannel retailing. Thus, an updated understanding of how retailers and consumers influence and interact with each other in multichannel retail contexts is required.The authors focus on the following questions: (1) What factors influence channel choices of retailers and customers? (2) How do retailers employ multichannel marketing strategies, and how do customers use different channels to search and purchase during their purchase journey? And (3) How do multichannel strategies and channel selection behavior affect customer outcomes and retailer performance? After presenting the definitions of key terms used in multichannel retailing, the authors introduce their framework. Next, they synthesize existing research and specify the three research questions with six subtopics by considering the perspectives of both customers and retailers. At the end of each subtopic, the authors discuss future research directions derived from research gaps, unresolved issues in practice, and environment changes. The monograph concludes with thoughts about the future of retailing.

Consumer Informational Privacy has two objectives: first, the authors use current knowledge about privacy and information disclosure to outline the main empirical findings regarding the influence of firms' privacy practices on consumers' behavior. In doing so, they examine how the influence of firms' privacy practices on consumers differs between firms, consumers, and contexts.The monograph identifies areas in need of further research and formulates hypotheses for them by conceptualizing consumer informational privacy and deriving a conceptual framework to guide the subsequent sections.

Die Nordrhein-Westf lische Akademie der Wissenschaften und der K nste ist eine Vereinigung der f hrenden Forscherinnen und Forscher des Landes. Sie wurde 1970 als Nachfolgeeinrichtung der Arbeitsgemeinschaft f r Forschung des Landes Nordrhein-Westfalen gegr ndet. Die Akademie ist in drei wissenschaftliche Klassen f r Geisteswissenschaften, f r Naturwissenschaften und Medizin sowie f r Ingenieur- und Wirtschaftswissenschaften und in eine Klasse der K nste gegliedert. Mit Publikationen zu den wissenschaftlichen Vortr gen in den Klassensitzungen, zu ffentlichen Veranstaltungen und Symposien will die Akademie die Fach- und allgemeine ffentlichkeit ber die Arbeiten der Akademie und ihrer Forschungsstellen informieren.