Impact of Artificial Intelligence in Business and Society

Opportunities and Challenges
 
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Kiadó: Routledge
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Rövid leírás:

This book focuses on understanding the wide range of opportunities as well as the spectrum of challenges AI brings in different business contexts and society at large.

Hosszú leírás:

Belonging to the realm of intelligent technologies, it is increasingly accepted that artificial intelligence (AI) has evolved from being merely a development standpoint in computer science. Indeed, recent reports and academic publications show that we are clearly on the path toward pervasive AI in both business and society. Organizations must adopt AI to maintain a competitive advantage and explore opportunities for unprecedented innovation. This book focuses on understanding the wide range of opportunities as well as the spectrum of challenges AI brings in different business contexts and society at large.


The book highlights novel and high-quality research in data science and business analytics and examines the current and future impact of AI in business and society. The authors bridge the gap between business and technical perspectives and demonstrate the potential (and actual) impact on society. Embracing applied, qualitative, and quantitative research as well as field experiments and data analysis, the book covers a broad range of topics including but not limited to human-centered AI, product and process innovation, corporate governance, AI and ethics, organizational performance, and entrepreneurship.


This comprehensive book will be a valuable resource for researchers, academics, and postgraduate students across AI, technology and innovation management, and a wide range of business disciplines.

Tartalomjegyzék:

Introduction


Davide La Torre, Francesco Paolo Appio, Hatem Masri, Francesca Lazzeri, and Francesco Schiavone



PART 1: Artificial intelligence: technological advancements and methodologies


1. Artificial and machine learning: Definitions and applications


Cinzia Colapinto, Riadh Ksantini, Davide La Torre, Hatem Masri, and Marco Repetto


2.?Adopting machine learning and AI for data-drive decisions


Francesca Lazzeri


3. Neural networks and deep learning


Chiara Galimberti and Marco Repetto



PART 2: Artificial intelligence in business: opportunities and challenges


4. Artificial Intelligence in Human Resource Management: Objectives and Implications


Aizhan Tursunbayeva, Alessia Berni, and Luigi Moschera


5.?Methodology for evaluating the appropriateness of a business process for robotic process automation


Lars Berghuis, Abhishta Abhishta, Wouter van Heeswijk, and Aizhan Tursunbayeva


6.?Startups and Artificial Intelligence: Insights from Italy


Fabio Greco and Irene Di Bernardo


7.?Integrating AI to blockchain and cryptocurrency: A case study


Mohamed Bechir Chenguel


PART 3: The societal impact of artificial intelligence


8.?AI human capital, jobs and skills


Lea Samek and Mariagrazia Squicciarini


9.?AI for Sustainability: A Dangerous Fantasy or an Unfulfilled Potential


Luis I. Prádanos and Daniela Inclezan


10. AI-based technologies in the phygital care journey


Marialuisa Marzullo, Irene Di Bernardo, Tiziana Russo Spena, and Cristina Mele


11. AI technologies and hospital blood delivery in peripheral regions: Insights from Zipline international


Valentina Cucino and Giulio Ferrigno


12. Improving Healthcare by designing AI-human-centered systems


Francesco Schiavone, Gaetano Cafiero, and Michela De Rosa


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Index