Isbn: 9798260013533 - decision making, learning, and collaboration in ai-driven entrepreneurship (9 resultados)

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  • Idioma: Inglés

    Editorial: IGI GLOBAL SCIENTIFIC PUBLISHING, 2026

    9798260013533

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    Librería: PBShop.store UK, Fairford, GLOS, Reino UnidoPBShop.store UK

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    Condición: Nuevo

    EUR 218,89

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    Cantidad disponible: Más de 20 disponibles

    HRD. Condición: New. New Book. Shipped from UK. Established seller since 2000.

  • Idioma: Inglés

    Editorial: Igi Global Scientific Publishing, 2026

    9798260013533

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    Librería: California Books, Miami, FL, Estados Unidos de AmericaCalifornia Books

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    Condición: Nuevo

    EUR 260,56

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    Cantidad disponible: Más de 20 disponibles

    Condición: New.

  • Idioma: Inglés

    Editorial: Igi Global Scientific Publishing, 2026

    9798260013533

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    Librería: Rarewaves.com USA, London, LONDO, Reino UnidoRarewaves.com USA

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    Condición: Nuevo

    EUR 270,54

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    Cantidad disponible: Más de 20 disponibles

    Hardback. Condición: New.

  • Idioma: Inglés

    Editorial: Igi Global Scientific Publishing, 2026

    9798260013533

    • Tapa dura

    Librería: Rarewaves.com UK, London, Reino UnidoRarewaves.com UK

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    Condición: Nuevo

    EUR 262,92

    Envío por EUR 75,80 
    Se envía de Reino Unido a Estados Unidos de America

    Cantidad disponible: Más de 20 disponibles

    Hardback. Condición: New.

  • Idioma: Inglés

    Editorial: IGI GLOBAL SCIENTIFIC PUBLISHING, 2026

    9798260013533

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    Librería: PBShop.store US, Wood Dale, IL, Estados Unidos de AmericaPBShop.store US

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    Condición: Nuevo

    EUR 22.733,22

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    Cantidad disponible: Más de 20 disponibles

    HRD. Condición: New. New Book. Shipped from UK. Established seller since 2000.

  • Idioma: Inglés

    Editorial: Igi Global Scientific Publishing, 2026

    9798260013533

    • Tapa dura
    • Impresión bajo demanda

    Librería: Grand Eagle Retail, Bensenville, IL, Estados Unidos de AmericaGrand Eagle Retail

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    Condición: Nuevo

    EUR 232,98

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    Cantidad disponible: 1 disponibles

    Hardcover. Condición: new. Hardcover. Decision making, learning, and collaboration are reshaped by the integration of artificial intelligence (AI) in modern entrepreneurship. AI-driven tools enable entrepreneurs to analyze data, generate insights, and make faster, more informed choices in competitive markets. Adaptive systems enhance continuous learning through adaptive systems that refine knowledge and skills, while intelligent platforms transform collaboration, connecting teams, partners, and business owners across borders. As a result, AI may redefine how entrepreneurship innovates, adapts, and grows in the digital business landscape. Decision Making, Learning, and Collaboration in AI-Driven Entrepreneurship explores how AI influences decision-making processes, learning capabilities, and collaborative practices in entrepreneurship. It examines how AI-driven tools enhance strategic thinking, knowledge development, and teamwork to improve innovation and business performance. This book covers topics such as business education, organizational psychology, policymaking, and is a useful resource for business owners, engineers, academicians, researchers, and scientists. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

  • Idioma: Inglés

    Editorial: Igi Global Scientific Publishing, 2026

    9798260013533

    • Tapa dura
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    Librería: CitiRetail, Stevenage, Reino UnidoCitiRetail

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    Condición: Nuevo

    EUR 229,41

    Envío por EUR 43,15 
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    Cantidad disponible: 1 disponibles

    Hardcover. Condición: new. Hardcover. Decision making, learning, and collaboration are reshaped by the integration of artificial intelligence (AI) in modern entrepreneurship. AI-driven tools enable entrepreneurs to analyze data, generate insights, and make faster, more informed choices in competitive markets. Adaptive systems enhance continuous learning through adaptive systems that refine knowledge and skills, while intelligent platforms transform collaboration, connecting teams, partners, and business owners across borders. As a result, AI may redefine how entrepreneurship innovates, adapts, and grows in the digital business landscape. Decision Making, Learning, and Collaboration in AI-Driven Entrepreneurship explores how AI influences decision-making processes, learning capabilities, and collaborative practices in entrepreneurship. It examines how AI-driven tools enhance strategic thinking, knowledge development, and teamwork to improve innovation and business performance. This book covers topics such as business education, organizational psychology, policymaking, and is a useful resource for business owners, engineers, academicians, researchers, and scientists. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

  • Idioma: Inglés

    Editorial: Igi Global Scientific Publishing, 2026

    9798260013533

    • Tapa dura
    • Impresión bajo demanda

    Librería: AussieBookSeller, Truganina, VIC, AustraliaAussieBookSeller

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    Condición: Nuevo

    EUR 301,02

    Envío por EUR 32,28 
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    Cantidad disponible: 1 disponibles

    Hardcover. Condición: new. Hardcover. Decision making, learning, and collaboration are reshaped by the integration of artificial intelligence (AI) in modern entrepreneurship. AI-driven tools enable entrepreneurs to analyze data, generate insights, and make faster, more informed choices in competitive markets. Adaptive systems enhance continuous learning through adaptive systems that refine knowledge and skills, while intelligent platforms transform collaboration, connecting teams, partners, and business owners across borders. As a result, AI may redefine how entrepreneurship innovates, adapts, and grows in the digital business landscape. Decision Making, Learning, and Collaboration in AI-Driven Entrepreneurship explores how AI influences decision-making processes, learning capabilities, and collaborative practices in entrepreneurship. It examines how AI-driven tools enhance strategic thinking, knowledge development, and teamwork to improve innovation and business performance. This book covers topics such as business education, organizational psychology, policymaking, and is a useful resource for business owners, engineers, academicians, researchers, and scientists. 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.

  • Idioma: Inglés

    Editorial: IGI GLOBAL SCIENTIFIC PUBLISHING, 2026

    9798260013533

    • Tapa dura
    • Impresión bajo demanda

    Librería: AHA-BUCH GmbH, Einbeck, AlemaniaAHA-BUCH GmbH

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    Condición: Nuevo

    EUR 454,55

    Envío por EUR 30,50 
    Se envía de Alemania a Estados Unidos de America

    Cantidad disponible: 1 disponibles

    Buch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Decision making, learning, and collaboration are reshaped by the integration of artificial intelligence (AI) in modern entrepreneurship. AI-driven tools enable entrepreneurs to analyze data, generate insights, and make faster, more informed choices in competitive markets. Adaptive systems enhance continuous learning through adaptive systems that refine knowledge and skills, while intelligent platforms transform collaboration, connecting teams, partners, and business owners across borders. As a result, AI may redefine how entrepreneurship innovates, adapts, and grows in the digital business landscape. Decision Making, Learning, and Collaboration in AI-Driven Entrepreneurship explores how AI influences decision-making processes, learning capabilities, and collaborative practices in entrepreneurship. It examines how AI-driven tools enhance strategic thinking, knowledge development, and teamwork to improve innovation and business performance. This book covers topics such as business education, organizational psychology, policymaking, and is a useful resource for business owners, engineers, academicians, researchers, and scientists.