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Paperback. Condizione: Brand New. 114 pages. 6.00x0.26x9.00 inches. In Stock.

Paperback. Condizione: new. Paperback. Artificial intelligence (AI) is transforming digital commerce by reshaping how consumers discover, evaluate, and purchase products. AI-driven recommendation systems have become a cornerstone of personalized online shopping, influencing purchase decisions, customer engagement, satisfaction, and brand loyalty. As intelligent technologies continue to evolve, understanding the factors that drive consumer adoption has become increasingly important for researchers, practitioners, and policymakers. AI-Driven Recommendation Systems in Online Shopping: Understanding Consumer Adoption and the Future of Intelligent Commerce examines the adoption of AI-powered recommendation systems through the Unified Theory of Acceptance and Use of Technology 2 (UTAUT2), with a primary focus on Generation Z while considering the emerging behaviours of Generation Alpha and Generation Beta. A key contribution of the book is the proposed AI-Commerce Adoption Framework (AICAF), which extends UTAUT2 by incorporating AI-specific constructs such as trust in AI, perceived personalization, recommendation quality, privacy concerns, algorithmic transparency, perceived risk, and social media validation. The framework explains how these factors influence behavioural intention, technology adoption, satisfaction, loyalty, and continued usage. The book also explores emerging trends including generative AI, explainable AI, agentic commerce, social commerce, ethical AI, digital trust, and the attention economy, highlighting their implications for the future of intelligent commerce. By integrating insights from information systems, marketing, consumer behaviour, and artificial intelligence, the book provides a comprehensive and practical resource for academics, postgraduate students, business leaders, technology developers, and marketing professionals seeking to understand the evolving role of AI in digital commerce. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. …

PAP. Condizione: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

PAP. Condizione: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

Paperback. Condizione: new. Paperback. Artificial intelligence (AI) is transforming digital commerce by reshaping how consumers discover, evaluate, and purchase products. AI-driven recommendation systems have become a cornerstone of personalized online shopping, influencing purchase decisions, customer engagement, satisfaction, and brand loyalty. As intelligent technologies continue to evolve, understanding the factors that drive consumer adoption has become increasingly important for researchers, practitioners, and policymakers. AI-Driven Recommendation Systems in Online Shopping: Understanding Consumer Adoption and the Future of Intelligent Commerce examines the adoption of AI-powered recommendation systems through the Unified Theory of Acceptance and Use of Technology 2 (UTAUT2), with a primary focus on Generation Z while considering the emerging behaviours of Generation Alpha and Generation Beta. A key contribution of the book is the proposed AI-Commerce Adoption Framework (AICAF), which extends UTAUT2 by incorporating AI-specific constructs such as trust in AI, perceived personalization, recommendation quality, privacy concerns, algorithmic transparency, perceived risk, and social media validation. The framework explains how these factors influence behavioural intention, technology adoption, satisfaction, loyalty, and continued usage. The book also explores emerging trends including generative AI, explainable AI, agentic commerce, social commerce, ethical AI, digital trust, and the attention economy, highlighting their implications for the future of intelligent commerce. By integrating insights from information systems, marketing, consumer behaviour, and artificial intelligence, the book provides a comprehensive and practical resource for academics, postgraduate students, business leaders, technology developers, and marketing professionals seeking to understand the evolving role of AI in digital commerce. This item is printed on demand. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability. …

Paperback. Condizione: new. Paperback. Artificial intelligence (AI) is transforming digital commerce by reshaping how consumers discover, evaluate, and purchase products. AI-driven recommendation systems have become a cornerstone of personalized online shopping, influencing purchase decisions, customer engagement, satisfaction, and brand loyalty. As intelligent technologies continue to evolve, understanding the factors that drive consumer adoption has become increasingly important for researchers, practitioners, and policymakers. AI-Driven Recommendation Systems in Online Shopping: Understanding Consumer Adoption and the Future of Intelligent Commerce examines the adoption of AI-powered recommendation systems through the Unified Theory of Acceptance and Use of Technology 2 (UTAUT2), with a primary focus on Generation Z while considering the emerging behaviours of Generation Alpha and Generation Beta. A key contribution of the book is the proposed AI-Commerce Adoption Framework (AICAF), which extends UTAUT2 by incorporating AI-specific constructs such as trust in AI, perceived personalization, recommendation quality, privacy concerns, algorithmic transparency, perceived risk, and social media validation. The framework explains how these factors influence behavioural intention, technology adoption, satisfaction, loyalty, and continued usage. The book also explores emerging trends including generative AI, explainable AI, agentic commerce, social commerce, ethical AI, digital trust, and the attention economy, highlighting their implications for the future of intelligent commerce. By integrating insights from information systems, marketing, consumer behaviour, and artificial intelligence, the book provides a comprehensive and practical resource for academics, postgraduate students, business leaders, technology developers, and marketing professionals seeking to understand the evolving role of AI in digital commerce. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. …

Taschenbuch. Condizione: Neu. AI-Driven Recommendation Systems in Online Shopping | Consumer Adoption and the Future of Intelligent Commerce | Anindito Bhattacharya (u. a.) | Taschenbuch | Englisch | 2026 | Eliva Press | EAN 9789999348492 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.…