Human-Machine Synergy and the Digital Future - Exploring Collaboration and Competition Volume 1
Description
This book explores the evolving relationship between humans and artificial intelligence (AI) systems. Featuring the proceedings from the 3rd Digital Transformation Society (DTS) International Conference (DTS 2025) held in Paris, France, this book explains how this collaboration can drive innovation, boost productivity, and unlock new opportunities. Rather than view AI only as a tool, this book explores a symbiotic partnership where human creativity and judgement combine with machine precision and scalability to achieve superior outcomes. It also recognizes the competitive dynamics between humans and machines, posing critical questions about the future of work, ethics, and trust in this developing landscape.
Featuring contributions from areas such as innovation, industry, healthcare, sustainability, tourism, finance, and economics, this book is a resource for scholars, academics, students, practitioners, and policy makers interested in the AI, digital transformation, innovation and machine learning.
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Persons
Nessrine Omrani is Full Professor of Digital Transformation Management and Director of the Department of Management at Paris School of Business (France). She is also the Vice President of the Research Network on Innovation. Her research interests center around digital transformation, AI, privacy, and digital platforms. Her research has been published in various international scholarly journals.
Francesco Schiavone is Full Professor of Innovation Management for the Department of Management and Quantitative Studies at the University Parthenope of Naples (Italy). He is also the Scientific Director of the Valore, Innovazione, Management e Accesso nei Sistemi Sanitari (VMASS) research lab in healthcare innovation and management at the University Parthenope of Naples (Italy). His research focus is on technology and innovation management, big data, AI, digital transformation, and healthcare management. His research has been published in various academic journals.
Francesco Appio is Full Professor in the Department of Management at Paris School of Business (France). His main research interests include digital transformation at multiple levels, sources of innovation, consequences of innovation failures, and micro-foundations of breakthroughs. His research has been published in various international scholarly journals.
Marta Ballatore is Associate Professor in the Department of Management at Paris School of Business (France). Her research focuses on the digital transformation resulting from emerging technologies (AI, blockchain, IoT), particularly in terms of decision making and IT governance. Her research has been published in various international scholarly journals.
Yosr Ben Tahar is Associate Professor in the Department of Management at Paris School of Business (France). Her main research interests include entrepreneurship psychology with a focus on entrepreneurial stress and satisfaction, entrepreneurial identities and legitimacy building. Her research has been published in various international journals.
Content
Digital transformation in education a roadmap for future research.- Digital transformation in agriculture mapping technological adoption through sdg alignment.- Digital transformation and organizational effectiveness an analysis of the mauritian top 100 companies.- Does the ethical restraint of frontier hereditary human genome manipulation provide a model for the ethical restraint of frontier super general intelligence development.- Digital finance for smes and startups literature review and research proposals.- Ai and open innovation exploring the impact of collaborative strategies on patent value and technological significance.- Eclecticism and wishful thinking in the digitalization of workforce practices opportunities and risks.-Applicability of artificial intelligence in human capital management.- Telework satisfaction in public organizations examining the roles of hygiene and motivators factors.- Navigating cobot adoption in industry 5.0 exploration of key success factors for the adoption of cobots in manufacturing.- Artificial intelligence technostress and organizational support in business context what impact on productivity through a typology model.- Artificial intelligence in the phd journey transforming research mentorship and learning.- Exploring the spectrum of fintech innovations implemented in microfinance companies a comprehensive review.- Ai and platform models in communication agencies transforming business architecture through organizational and revenue model innovation.- Graph-based sentiment analysis an ai-driven approach to mapping customer feedback in retail.- Artificial intelligence and circular business model in-novation a dynamic capabilities perspective.- Leveraging ai for automation in esg reporting.- Sustainable ai-driven business model innovation a theoretical framework.- Exploring the role of ai and ml in the evolution of green finance a systematic bibliometric review.- Enhancing real time contingency scenario planning with retrieval augmented generation models.- Mapping ai driven sustainability research a meta review using topic modeling.- Digital innovation for sustainable public procurement overcoming barriers and unlocking opportunities with ai.- Addressing air quality estimation exploiting automl.- Managing risk with meaning explainable ai and cognitive turn in sme governance.- Characterising the financial behaviour of failed companies during the covid crisis.