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Sinopsis
The book addresses strategic and innovation management matters that emerge with AI technology deployment in shipping. It illustrates the making of an AI-powered shipping operation as a process; advances in AI technology as well as trustworthy design and development principles and practices can frame, inspire, and guide the contextualized AI-instigated shipping digitalization.
The volume elaborates on foreseen value aggregation models stemming from the AI and human symbiosis possibilities, and the consequences these developments imply for shipping business organizations and markets. Preemptive value creation models are exemplified, including endeavours for deep shipping knowledge creation, shipping business process augmentation for both low-discretion and high-criticality tasks, and autonomous vessel and maritime infrastructures establishment, as well as new AI-supply side oriented business models. The author posits that AI-driven renewal strategies do not imply a disinvestment in ‘legacy’ functions (aka ship ownership and management) paired with aggressive investment in AI development and platformization; AI management directs a new mix of conceivable physical and digital assets, resources, and capabilities for the chosen nuance of a firm’s business model innovation. The central argument of the book elaborates how shipping companies in the loop can be nothing but the negotiated outcome of a new AI-powered institutional entrepreneurial regime; embedded, distributed agency mechanisms enact the wealth-creating, progressive, and responsible digitalization of shipping.
This volume will be of value to students and researchers interested in shipping markets, digital technology, and innovation management.
"Sinopsis" puede pertenecer a otra edición de este libro.
Acerca del autor
Maria Lambrou is Professor of Digital Business at the Department of Shipping, Trade and Transport, Business School, University of the Aegean, Greece. Her research focuses on innovation and strategy, digital entrepreneurship, artificial intelligence technology, and cybersecurity capabilities. Professor Lambrou is studying organizational transformation matters, emerging with multiple options for machine-learning-enabled algorithmic management. Currently, she works on artificial intelligence technology, algorithmic management, and the evolution of maritime organizations.
Professor Lambrou holds a Diploma in Mechanical Engineering (Aristotle University of Thessaloniki, Greece), an M.A. in Industrial Relations from Brunel University London, UK, and a Ph.D. in Computer Science (School of Electrical Engineering and Computer Science, NTUA, Greece). She has worked on numerous European R&D projects creating communication networks technology, eBusiness, eGovernment, and eLearning platforms, as well as digital platforms and services for freight transport digitalization.
Professor Lambrou held Academic Visitor positions at Imperial College London, University of Melbourne, Norwegian University of Science and Technology, Tokyo University of Marine Science and Technology, and Paris 8 University. Her research has appeared in leading academic journals such as Maritime Business Review, Journal of Shipping and Trade, WMU Journal of Maritime Affairs, Telematics and Informatics, and Sustainability. Professor Lambrou teaches courses in technology and innovation management, management information systems, digital entrepreneurship, and shipping digitalization management.
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Artificial Intelligence in Shipping
Publicado por
Taylor & Francis Ltd Aug 2026, 2026
ISBN 10: 1041031882
ISBN 13: 9781041031888
Nuevo
Taschenbuch
Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Alemania
Calificación del vendedor: 5 de 5 estrellas
Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -The book addresses strategic and innovation management matters that emerge with AI technology deployment in shipping. It illustrates the making of an AI-powered shipping operation as a process; advances in AI technology as well as trustworthy design and development principles and practices can frame, inspire, and guide the contextualized AI-instigated shipping digitalization.The volume elaborates on foreseen value aggregation models stemming from the AI and human symbiosis possibilities, and the consequences these developments imply for shipping business organizations and markets. Preemptive value creation models are exemplified, including endeavours for deep shipping knowledge creation, shipping business process augmentation for both low-discretion and high-criticality tasks, and autonomous vessel and maritime infrastructures establishment, as well as new AI-supply side oriented business models. The author posits that AI-driven renewal strategies do not imply a disinvestment in 'legacy' functions (aka ship ownership and management) paired with aggressive investment in AI development and platformization; AI management directs a new mix of conceivable physical and digital assets, resources, and capabilities for the chosen nuance of a firm's business model innovation. The central argument of the book elaborates how shipping companies in the loop can be nothing but the negotiated outcome of a new AI-powered institutional entrepreneurial regime; embedded, distributed agency mechanisms enact the wealth-creating, progressive, and responsible digitalization of shipping.This volume will be of value to students and researchers interested in shipping markets, digital technology, and innovation management. 146 pp. Englisch. Nº de ref. del artículo: 9781041031888
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Artificial Intelligence in Shipping (Paperback)
Publicado por
Taylor & Francis Ltd, London, 2026
ISBN 10: 1041031882
ISBN 13: 9781041031888
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Librería: Grand Eagle Retail, Bensenville, IL, Estados Unidos de America
Calificación del vendedor: 5 de 5 estrellas
Paperback. Condición: new. Paperback. The book addresses strategic and innovation management matters that emerge with AI technology deployment in shipping. It illustrates the making of an AI-powered shipping operation as a process; advances in AI technology as well as trustworthy design and development principles and practices can frame, inspire, and guide the contextualized AI-instigated shipping digitalization.The volume elaborates on foreseen value aggregation models stemming from the AI and human symbiosis possibilities, and the consequences these developments imply for shipping business organizations and markets. Preemptive value creation models are exemplified, including endeavours for deep shipping knowledge creation, shipping business process augmentation for both low-discretion and high-criticality tasks, and autonomous vessel and maritime infrastructures establishment, as well as new AI-supply side oriented business models. The author posits that AI-driven renewal strategies do not imply a disinvestment in legacy functions (aka ship ownership and management) paired with aggressive investment in AI development and platformization; AI management directs a new mix of conceivable physical and digital assets, resources, and capabilities for the chosen nuance of a firms business model innovation. The central argument of the book elaborates how shipping companies in the loop can be nothing but the negotiated outcome of a new AI-powered institutional entrepreneurial regime; embedded, distributed agency mechanisms enact the wealth-creating, progressive, and responsible digitalization of shipping.This volume will be of value to students and researchers interested in shipping markets, digital technology, and innovation management. The book addresses strategic and innovation management matters that emerge with AI technology deployment in shipping. This volume will be of value to students and researchers interested in shipping markets, digital technology, and innovation management. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Nº de ref. del artículo: 9781041031888
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Artificial Intelligence in Shipping
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Artificial Intelligence in Shipping
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Artificial Intelligence in Shipping (Routledge Studies in Transport Analysis)
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Condición: New. Nº de ref. del artículo: I-9781041031888
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Artificial Intelligence in Shipping
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Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Maria Lambrou is Professor of Digital Business at the Department of Shipping, Trade and Transport, Business School, University of the Aegean, Greece. Her research focuses on innovation and strategy, digital entrepreneurship, artificial i. Nº de ref. del artículo: 3577136904
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Artificial Intelligence in Shipping (Paperback)
Publicado por
Taylor & Francis Ltd, London, 2026
ISBN 10: 1041031882
ISBN 13: 9781041031888
Nuevo
Paperback
Librería: AussieBookSeller, Truganina, VIC, Australia
Calificación del vendedor: 5 de 5 estrellas
Paperback. Condición: new. Paperback. The book addresses strategic and innovation management matters that emerge with AI technology deployment in shipping. It illustrates the making of an AI-powered shipping operation as a process; advances in AI technology as well as trustworthy design and development principles and practices can frame, inspire, and guide the contextualized AI-instigated shipping digitalization.The volume elaborates on foreseen value aggregation models stemming from the AI and human symbiosis possibilities, and the consequences these developments imply for shipping business organizations and markets. Preemptive value creation models are exemplified, including endeavours for deep shipping knowledge creation, shipping business process augmentation for both low-discretion and high-criticality tasks, and autonomous vessel and maritime infrastructures establishment, as well as new AI-supply side oriented business models. The author posits that AI-driven renewal strategies do not imply a disinvestment in legacy functions (aka ship ownership and management) paired with aggressive investment in AI development and platformization; AI management directs a new mix of conceivable physical and digital assets, resources, and capabilities for the chosen nuance of a firms business model innovation. The central argument of the book elaborates how shipping companies in the loop can be nothing but the negotiated outcome of a new AI-powered institutional entrepreneurial regime; embedded, distributed agency mechanisms enact the wealth-creating, progressive, and responsible digitalization of shipping.This volume will be of value to students and researchers interested in shipping markets, digital technology, and innovation management. The book addresses strategic and innovation management matters that emerge with AI technology deployment in shipping. This volume will be of value to students and researchers interested in shipping markets, digital technology, and innovation management. 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. Nº de ref. del artículo: 9781041031888
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Artificial Intelligence in Shipping : The State of Digital Innovation
Impresión bajo demandaLibrería: AHA-BUCH GmbH, Einbeck, Alemania
Calificación del vendedor: 5 de 5 estrellas
Taschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - The book addresses strategic and innovation management matters that emerge with AI technology deployment in shipping. It illustrates the making of an AI-powered shipping operation as a process; advances in AI technology as well as trustworthy design and development principles and practices can frame, inspire, and guide the contextualized AI-instigated shipping digitalization.The volume elaborates on foreseen value aggregation models stemming from the AI and human symbiosis possibilities, and the consequences these developments imply for shipping business organizations and markets. Preemptive value creation models are exemplified, including endeavours for deep shipping knowledge creation, shipping business process augmentation for both low-discretion and high-criticality tasks, and autonomous vessel and maritime infrastructures establishment, as well as new AI-supply side oriented business models. The author posits that AI-driven renewal strategies do not imply a disinvestment in 'legacy' functions (aka ship ownership and management) paired with aggressive investment in AI development and platformization; AI management directs a new mix of conceivable physical and digital assets, resources, and capabilities for the chosen nuance of a firm's business model innovation. The central argument of the book elaborates how shipping companies in the loop can be nothing but the negotiated outcome of a new AI-powered institutional entrepreneurial regime; embedded, distributed agency mechanisms enact the wealth-creating, progressive, and responsible digitalization of shipping.This volume will be of value to students and researchers interested in shipping markets, digital technology, and innovation management. Nº de ref. del artículo: 9781041031888
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Artificial Intelligence in Shipping
Impresión bajo demandaLibrería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemania
Calificación del vendedor: 5 de 5 estrellas
Taschenbuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -The book addresses strategic and innovation management matters that emerge with AI technology deployment in shipping. It illustrates the making of an AI-powered shipping operation as a process; advances in AI technology as well as trustworthy design and development principles and practices can frame, inspire, and guide the contextualized AI-instigated shipping digitalization.The volume elaborates on foreseen value aggregation models stemming from the AI and human symbiosis possibilities, and the consequences these developments imply for shipping business organizations and markets. Preemptive value creation models are exemplified, including endeavours for deep shipping knowledge creation, shipping business process augmentation for both low-discretion and high-criticality tasks, and autonomous vessel and maritime infrastructures establishment, as well as new AI-supply side oriented business models. The author posits that AI-driven renewal strategies do not imply a disinvestment in 'legacy' functions (aka ship ownership and management) paired with aggressive investment in AI development and platformization; AI management directs a new mix of conceivable physical and digital assets, resources, and capabilities for the chosen nuance of a firm's business model innovation. The central argument of the book elaborates how shipping companies in the loop can be nothing but the negotiated outcome of a new AI-powered institutional entrepreneurial regime; embedded, distributed agency mechanisms enact the wealth-creating, progressive, and responsible digitalization of shipping.This volume will be of value to students and researchers interested in shipping markets, digital technology, and innovation management. 146 pp. Englisch. Nº de ref. del artículo: 9781041031888
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Artificial Intelligence in Shipping | The State of Digital Innovation
Impresión bajo demandaLibrería: preigu, Osnabrück, Alemania
Calificación del vendedor: 5 de 5 estrellas
Taschenbuch. Condición: Neu. Artificial Intelligence in Shipping | The State of Digital Innovation | Maria Lambrou | Taschenbuch | Routledge Studies in Transport Analysis | Einband - flex.(Paperback) | Englisch | 2026 | Routledge | EAN 9781041031888 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand. Nº de ref. del artículo: 136018348
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