Impact of Artificial Intelligence in Business and Society : Opportunities and Challenges (Routledge Studies in Innovation, Organizations and Technology)

Appio, Francesco Paolo (EDT)/ La Torre, Davide (EDT)/ Lazzeri, Francesca (EDT)

Routledge（2024/12発売）

Routledge（2024/12発売）

• 製本 Paperback:紙装版/ペーパーバック版／ページ数 280 p.
• 言語 ENG
• 商品コード 9781032303420
• DDC分類 650.028563

Full Description

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.

Contents

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

Index