**Winner of the 2021 Leonard L. Berry Marketing Book Award from the American Marketing Association.** Firms are collecting and analyzing customer data at an ever increasing rate in response to evidence that data analytics (precision targeting, improved selling) generates a positive return. Yet efforts often ignore customers’ privacy concerns and feelings of vulnerability with long-term effects on customers’ trust, relationships, and ultimately financial performance. Big data, privacy, and cybersecurity often is relegated to IT and legal teams with minimal regard for customer relationships. This book fills the void by taking a customer-centric approach to privacy. It offers both defensive and offensive marketing-based privacy strategies that strongly position firms in today’s data-intensive landscape. The book also helps managers anticipate future consumer and legislative trends. Drawing from the authors’ own work and extant research, this book offers a compelling guide for building and implementing big data- and privacy-informed business strategies. Specifically, the book: · -Describes the consumer psychology of privacy · -Deconstructs relevant legal and regulatory issues · - Offers defensive privacy strategies · - Describes offensive privacy strategies · Provides an executive summary with the Six Tenets for Effective Privacy Marketing This book will be useful to managers, students, or the casual reader who is interested in how and why big data and consumer privacy are transforming business. Moving beyond summary privacy insights, the book also offers a detailed and compelling action plan for improving performance by protecting against privacy threats as well as developing and implementing offensive privacy strategy. In the future, many firms will be competing through an integrated, customer-centric big data privacy strategy and this book will guide managers in this journey.

This book offers a direct, actionable plan CMOs can use to map out initiatives that are properly sequenced and designed for success—regardless of where their marketing organization is in the process. The authors pose the following critical questions to marketers: (1) How should modern marketers be thinking about artificial intelligence and machine learning? and (2) How should marketers be developing a strategy and plan to implement AI into their marketing toolkit? The opening chapters provide marketing leaders with an overview of what exactly AI is and how is it different than traditional computer science approaches. Venkatesan and Lecinski, then, propose a best-practice, five-stage framework for implementing what they term the "AI Marketing Canvas." Their approach is based on research and interviews they conducted with leading marketers, and offers many tangible examples of what brands are doing at each stage of the AI Marketing Canvas. By way of guidance, Venkatesan and Lecinski provide examples of brands—including Google, Lyft, Ancestry.com, and Coca-Cola—that have successfully woven AI into their marketing strategies. The book concludes with a discussion of important implications for marketing leaders—for your team and culture.

This open access book brings together perspectives from multiple disciplines including psychology, law, IS, and computer science on data privacy and trust in the cloud. Cloud technology has fueled rapid, dramatic technological change, enabling a level of connectivity that has never been seen before in human history. However, this brave new world comes with problems. Several high-profile cases over the last few years have demonstrated cloud computing's uneasy relationship with data security and trust. This volume explores the numerous technological, process and regulatory solutions presented in academic literature as mechanisms for building trust in the cloud, including GDPR in Europe. The massive acceleration of digital adoption resulting from the COVID-19 pandemic is introducing new and significant security and privacy threats and concerns. Against this backdrop, this book provides a timely reference and organising framework for considering how we will assure privacy and build trust in such a hyper-connected digitally dependent world. This book presents a framework for assurance and accountability in the cloud and reviews the literature on trust, data privacy and protection, and ethics in cloud computing.

Digitalization completely has transformed marketing. It has changed consumption habits, consumer behaviour, and purchasing processes. In addition, it has modified marketing strategies, tactics, and processes, offering a wide range of mechanisms that allow companies, of all types and sizes, to enhance their commercial actions.

The surge in technological advancements, coupled with the exponential growth of data, has left marketers grappling with the need for a paradigm shift. The once-established methods of consumer engagement are now overshadowed by the complexities of the digital age, demanding a profound understanding of artificial intelligence (AI) and data analytics. The gap between academic knowledge and practical applications in the field of marketing has widened, leaving industry professionals, educators, and students seeking a comprehensive resource to navigate the intricacies of this transformative era. AI-Driven Marketing Research and Data Analytics is a groundbreaking book that serves as a beacon for marketers, educators, and industry leaders alike. With a keen focus on the symbiotic relationship between AI, data analytics, and marketing research, this book bridges the gap between theory and practice. It not only explores the historical evolution of marketing but also provides an innovative examination of how AI and data analytics are reshaping the landscape. Through real-time case studies, ethical considerations, and in-depth insights, the book offers a holistic solution to the challenges faced by marketing professionals in the digital age.

This book highlights the latest research presented at the first Digital Marketing & eCommerce Conference (Barcelona, Spain, June 2020). Papers include a diverse set of digital marketing and eCommerce-related topics such as user psychology and behavior in social commerce, influencer marketing in social commerce, social media monetization strategies, social commerce characteristics and their impact on user behavior, social branding, business model, user privacy, and more.

The modern business world faces many new challenges in preserving its confidentiality and data from online attackers. Further, it also faces a struggle with preventing fraud. These challenges threaten businesses internally and externally and can cause huge losses. It is essential for business leaders to be up to date on the current fraud prevention, confidentiality, and data security to protect their businesses. Fraud Prevention, Confidentiality, and Data Security for Modern Businesses provides examples and research on the security challenges, practices, and blueprints for today’s data storage and analysis systems to protect against current and emerging attackers in the modern business world. It includes the organizational, strategic, and technological depth to design modern data security practices within any organization. Covering topics such as confidential communication, information security management, and social engineering, this premier reference source is an indispensable resource for business executives and leaders, entrepreneurs, IT managers, security specialists, students and educators of higher education, librarians, researchers, and academicians.

Marketing Strategy offers a unique and dynamic approach based on four underlying principles that underpin marketing today: All customers differ; All customers change; All competitors react; and All resources are limited. The structured framework of this acclaimed textbook allows marketers to develop effective and flexible strategies to deal with diverse marketing problems under varying circumstances. Uniquely integrating marketing analytics and data driven techniques with fundamental strategic pillars the book exemplifies a contemporary, evidence-based approach. This base toolkit will support students' decision-making processes and equip them for a world driven by big data. The second edition builds on the first's successful core foundation, with additional pedagogy and key updates. Research-based, action-oriented, and authored by world-leading experts, Marketing Strategy is the ideal resource for advanced undergraduate, MBA, and EMBA students of marketing, and executives looking to bring a more systematic approach to corporate marketing strategies. New to this Edition: - Revised and updated throughout to reflect new research and industry developments, including expanded coverage of digital marketing, influencer marketing and social media strategies - Enhanced pedagogy including new Worked Examples of Data Analytics Techniques and unsolved Analytics Driven Case Exercises, to offer students hands-on practice of data manipulation as well as classroom activities to stimulate peer-to-peer discussion - Expanded range of examples to cover over 250 diverse companies from 25 countries and most industry segments - Vibrant visual presentation with a new full colour design

Digital transformation has shaped a new landscape for companies and their customers, offering companies a wealth of data with which to develop customer knowledge. However, this evolution is just one of many transformations in customer marketing within an increasingly complex reality, thrown into turmoil by environmental and social changes. New frontiers in customer relations strategies are thus being drawn, some in new territories grounded in efforts to preserve scarce resources, while others are built on expectations of social responsibility. These profound societal changes also reveal darker frontiers, where companies have insufficient ethical considerations for vulnerable customers, or merely react to changes in legislation. New Frontiers of Customer Strategy offers practitioners, lecturers and students an up-to-date reflection on the role of customer relations now and in the future, to keep pace with environmental, digital, inclusive and ethical issues, as well as organizational governance.

Using data analytics and big data in marketing and strategic decision-making is a key priority at many organisations and subsequently a vital part of the skills set for a successful marketing professional operating today. Authored by world-leading authorities in the field, Marketing Analytics provides a thoroughly contemporary overview of marketing analytics and coverage of a wide range of cutting edge data analytics techniques. It offers a powerful framework, organising data analysis techniques around solving four underlying marketing problems: the 'First Principles of Marketing'. In this way, it offers an action-oriented, applied approach to managing marketing complexities and issues, and a sound grounding in making effective decisions based on strong evidence. It is supported by vivid international cases and examples, and applied pedagogical features. The companion website offers comprehensive classroom instruction slides, videos including walk throughs on all the examples and methods in the book, data sets, a test bank and a solution guide for instructors.