Prof. Dr. Andreas Kaplan

It all began when the world’s first business school, the European School of Commerce Paris (ESCP), was established in 1819. Criticism notwithstanding, business schools have since continued their path in higher education without facing existential metamorphoses. Covid-19, however, has accelerated business schools’ digital transformation, calling into question the concept of business school itself. Business schools are in a new competitive landscape and profound structural changes seem inevitable. This concise text offers insights into how business schools should rethink their approach to management education, differentiate themselves from new players in the higher education market, and find innovative ways of doing things. The book is a survival toolkit for leadership teams across the world. It examines the rationale of business school and how it has evolved. The purpose of research is explained, and the teaching of management is explored. Kaplan analyzes the current business model in the digital environment. He looks at the business of accreditations and rankings and branding and community-building as strategies to address competition. The book concludes by looking at change leadership at business schools. It will interest both leaders of established academic institutions and alternative educational providers from edtech and big tech planning to enter the management education market.

Artificial intelligence (AI) has captured substantial interest from a wide array of marketing scholars in recent years. Our research contributes to this emerging domain by examining AI technologies in marketing via a global lens. Specifically, our lens focuses on three levels of analysis: country, company, and consumer. Our country-level analysis emphasizes the heterogeneity in economic inequality across countries due to the considerable economic resources necessary for AI adoption. Our company-level analysis focuses on glocalization because while the hardware that underlies these technologies may be global in nature, their application necessitates adaptation to local cultures. Our consumer-level analysis examines consumer ethics and privacy concerns, as AI technologies often collect, store and process a cornucopia of personal data across our globe. Through the prism of these three lenses, we focus on two important dimensions of AI technologies in marketing: (1) human–machine interaction and (2) automated analysis of text, audio, images, and video. We then explore the interaction between these two key dimensions of AI across our three-part global lens to develop a set of research questions for future marketing scholarship in this increasingly important domain.

A decade ago, we published an article in Business Horizons about the challenges and opportunities of social media with a call to action: “Users of the world, unite!” To celebrate its anniversary, we look at artificial intelligence and the need to create the rules necessary for peaceful coexistence between humanity and AI. Hence, we now are urging: “Rulers of the world, unite!” In this article, we outline six debates surrounding AI in areas like artificial superintelligence, geographical progress, and robotics; in doing so, we shed light on what is fact and what is utopia. Then, using the PESTEL framework, we talk about the six dilemmas of AI and its potential threat and use. Finally, we provide six directions on the future of AI regarding its requirements and expectations, looking at enforcement, employment, ethics, education, entente, and evolution. Understanding AI’s potential future will enable governments, corporations, and societies at large (i.e., the rulers of this world) to prepare for its challenges and opportunities. This way, we can avoid a scenario in which we return in 10 years to write the article: “Dreamers of the world, unite!”

The concept of Social Media is top of the agenda for many business executives today. Decision makers, as well as consultants, try to identify ways in which firms can make profitable use of applications such as Wikipedia, YouTube, Facebook, Second Life, and Twitter. Yet despite this interest, there seems to be very limited understanding of what the term “Social Media” exactly means; this article intends to provide some clarification. We begin by describing the concept of Social Media, and discuss how it differs from related concepts such as Web 2.0 and User Generated Content. Based on this definition, we then provide a classification of Social Media which groups applications currently subsumed under the generalized term into more specific categories by characteristic: collaborative projects, blogs, content communities, social networking sites, virtual game worlds, and virtual social worlds. Finally, we present 10 pieces of advice for companies which decide to utilize Social Media.