Marketing

1. Corinne Keijzer

500 tips en ideeën voor je LinkedIn-posts

Hoe creëer je een LinkedIn-post die je doelgroep ook echt raakt? LinkedIn-expert Corinne Keijzer deelt samen met 11 andere topspecialisten maar liefst 500 tips en ideeën voor jouw LinkedIn-posts.

1. Jon-Arild Johannessen

Robots, Automation and the Innovation Economy

This book explores the potential impact of artificial intelligence (AI) and intelligent robots on individuals, organizations and society, specifically examining the impact on jobs and workplaces in the future. It provides an understanding of how we can adapt to changes that appear like flocks of black swans.

Predictive Analytics and Generative AI for Data-Driven Marketing Strategies

The book provides an in-depth exploration of cutting-edge technologies and how they are used to support data-driven marketing strategies and empower organizations to make the right decisions.

1. Jifeng Mu

The Human Architect

This book offers a clear and insightful guide to the evolving role of AI in modern marketing. Synthesizing extensive research with high-level executive interviews, the author reveals how AI excels at personalization, automation, and data-driven optimization, yet remains constrained by its lack of emotion, intuition, and genuine understanding. Through compelling narrative examples, the text illustrates the transformative potential of AI alongside its ethical and strategic pitfalls, including the amplification of bias and the erosion of brand authenticity. Ultimately, the author argues that AI is not a replacement for human marketers but a catalyst that demands human creativity, empathy, and ethical judgment. This book provides leaders, practitioners, and scholars with a vital framework for harnessing AI responsibly to enhance performance while safeguarding core human values.

1. Dr. Colleen Palmer
2. Dr. Kalah Kemp

Using AI In The Public Relations Classroom

This book is a resource that public relations instructors can use to incorporate artificial intelligence (AI) use into their classes. As public relations professors strive to not only teach the foundations of public relations but help students apply what they learn to actual work in their field, this book contains many exercises and examples of teaching ideas. Every chapter has a focus on a topic that students must learn and understand about working in public relations, and every chapter includes ideas for professors on leading class discussions, creating in-class work and homework, and, finally, incorporating the ever-growing AI use into the classroom. 

1. Jacopo Ballerini
2. Stefano Bresciani

Algorithmic Dynamic Pricing from E-Commerce Vendors

This book is a concise and integrative synthesis of the rapidly expanding literature on dynamic pricing in e‑commerce. Algorithmic dynamic pricing has become a central strategic tool for brand manufacturers and retailers operating in e‑commerce and platform‑mediated markets. Prices are no longer static decisions but are continuously updated by algorithms that learn from demand, inventory, competition, and consumer behavior—while operating under governance, fairness, and operational constraints. Based on a systematic literature review of 101 high‑quality journal articles and supported by bibliometric mapping, the book organizes existing research into four coherent streams: operational and algorithmic pricing, consumer perceptions and fairness, platform governance and ecosystems, and revenue management in services and hospitality. Beyond summarizing prior work, the book proposes a contemporary definition of dynamic pricing as an algorithmic, learning‑based policy and outlines 17 research propositions that structure future inquiry. These propositions connect methodological challenges—such as learning under competition and non‑stationarity—with actionable managerial levers for pricing design. Designed for researchers, (pre)doctoral students, and practitioners, the book provides a clear entry point into a fragmented field and offers practical insights for firms navigating pricing decisions in data‑driven, policy‑constrained online markets.