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Cognitive Commerce, Volume I

Understanding Consumer Behaviour in the Era of AI and Machine Learning
ISBN:
978-3-03-234830-2
Verlag:
Springer International Publishing
Land des Verlags:
Schweiz
Erscheinungsdatum:
24.02.2027
Format:
Hardcover
Seitenanzahl:
203
Ladenpreis
197,99 EUR (inkl. MwSt. zzgl. Versand)
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This edited volume - the first book in a two-volume work - examines how artificial intelligence, machine learning and cognitive science are reshaping consumer behaviour in digital commerce. As the foundational volume, it introduces the concept of cognitive commerce and explains how intelligent systems influence perception, attention, trust, decision-making, personalisation and consumer engagement.

Focusing on the core technologies and applications that define cognitive commerce, it discusses key topics such as AI and machine learning in modern commerce, dynamic pricing, chat banking, augmented and virtual reality, voice technologies, natural language processing and industry-based case studies. It reveals how AI-enabled platforms can learn from consumer data, reduce cognitive overload, improve recommendation systems, personalise digital experiences and support more responsive customer interactions.

The volume also highlights the relevance of cognitive commerce in emerging economies, where digital transformation is shaped by infrastructure gaps, cultural diversity, digital literacy, regulatory uncertainty and evolving consumer expectations. It shows how businesses can apply AI and machine learning in ways that are adaptive, ethical and contextually relevant. Taken together, the volumes explain the key concepts, technologies and consumer-facing applications, and discusses advanced analytics, predictive modelling, behavioural economics, social media analytics and responsible AI in marketing.

Biografische Anmerkung

Reason Masengu is an Assistant Professor of Marketing at Middle East College, Oman, and holds a PhD in Business Management from North-West University. His research spans digital marketing, artificial intelligence, logistics, food safety and sustainability.

Tatenda T. Chabata is Executive Director of WATMA Group Pty Ltd and a Postdoctoral Fellow at the University of South Africa. His expertise includes digital marketing, brand strategy, sales and communications.

Fungai Jacqueline Kiwa chairs the Department of ICT and Electronics at Chinhoyi University of Technology, Zimbabwe. Her research spans artificial intelligence, machine learning, data analytics and digital transformation.

Divaries Cosmas Jaravaza holds a PhD in Business from Wits Business School and specialises in marketing, advertising and cultural perceptions. He has more than a decade of teaching experience at Bindura University of Science Education and Mutare Teachers’ College.