NIM Marketing Intelligence Review

AI and the Machine Age of Marketing

Using Digital Footprints • Algorithm Adoption • Chatbots • Moral Machines • Voice Control

 

In this issue, we explore how machines learn from the digital footprints of consumers; how and to which extent machines are able to sell; and the nuances of when using machines might actually backfire and cause disengagement and frustration for consumers. And we discuss the broader questions of artificial intelligence: Can machines be moral? What makes you trust in the answer or prediction of an algorithm? Do we make ourselves vulnerable as individuals and as society if we trust too much?

 

Guest editor
Christian Hildebrand, Director and Professor of Marketing Analytics Institute of Marketing (IfM-HSG), University of St. Gallen, Switzerland

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Issue Contents

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The Machine Age of Marketing: How Artificial Intelligence Changes the Way People Think, Act, and Decide

Whatever your perception of AI is, the machine age of marketing has arrived. To fully grasp how AI is changing every fabric of both our …

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Presentation of the NIM Marketing Intelligence Review issue on "AI and the Machine Age of Marketing"

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Using Consumers’ Digital Footprints for More Persuasive Mass Communication

Powered by better hardware and software, and fueled by the emergence of computational social science, digital traces of human activity can …

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Let the Machine Decide: When Consumers Trust or Distrust Algorithms

Thanks to the rapid progress in the field of artificial intelligence, algorithms are able to accomplish an increasingly comprehensive list …

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When Humanizing Customer Service Chatbots Might Backfire

Technological advancements in AI are continuously transforming the way companies operate, including how they interact with their customer...

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AI-Driven Sales Automation: Using Chatbots to Boost Sales

The implementation of bot interfaces varies tremendously in current industry practice. They range from the human-like to those that merely …

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The Thorny Challenge of Making Moral Machines: Ethical Dilemmas with Self-Driving Cars

The algorithms that control AVs will need to embed moral principles guiding their decisions in situations of unavoidable harm.

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Understanding Consumer Preferences from Social Media Data

Consumers produce enormous amounts of textual data of product reviews online. Artificial intelligence (AI) can help analyze this data and …

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Talking Instead of Typing: The Power of Voice-Based Remote Controls

While many customers are still reluctant to entrust themselves to Alexa, Cortona or Siri in their homes, they seem to be less worried …

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