CONFERENCE THEME

Human-Machine Synergy and the Digital Future: Exploring Collaboration and Competition

Digital transformation refers to the profound and disruptive changes reshaping society, industry, and organizations, driven by advancements in digital technologies such as artificial intelligence (AI), the Metaverse, big data analytics, cloud computing, and the Internet of Things (IoT). These technologies are not only revolutionizing processes but also redefining how businesses deliver value, innovate, and maintain competitive advantage in an increasingly digital world. In this era of rapid change, digital technologies have become critical enablers of value co-creation across sectors, particularly in complex service industries. However, their successful integration into all facets of an organization—its operations, decision-making, customer interactions, and innovation processes—demands a fundamental shift in how businesses operate. AI, in particular, plays a pivotal role in this transformation, augmenting human abilities and enhancing operational efficiency, strategic decision-making, and the overall customer experience.

This conference centers on the evolving relationship between humans and AI systems, emphasizing how collaboration between the two can drive innovation, boost productivity, and unlock new opportunities. Rather than viewing AI as merely a tool, the conference explores a symbiotic partnership where human creativity and judgment combine with machine precision and scalability to achieve superior outcomes. At the same time, it recognizes the competitive dynamics between humans and machines, posing critical questions about the future of work, ethics, and trust in this ever-evolving landscape.

We invite conceptual and empirical papers that use a wide range of methodologies—whether quantitative or qualitative—and bridge the gap between theory and practice. We particularly welcome contributions that offer new insights into the following tracks:

• Track 1: General Track
• Track 2: AI and Open Innovation
• Track 3: Digitizing workforce practices
• Track 4: AI in the service sector
• Track 5: AI in the insurance industry
• Track 6: Legal and Economic implications for AI
• Track 7: Digital transformation in tourism
• Track 8: Family firms in the digital age
• Track 9: AI for sustainability
• Track 10: Managing Human-Machine Teams
• Track 11: Predicting with AI
• Track 12: AI in Healthcare
• Track 13: Digital transformation and innovation in smart cities
• Track 14: Overcoming Resistance to Human-AI Collaboration
• Track 15: Digital transformation for social entrepreneurship
• Track 16: AI and Green Finance Accelerating Energy Transition
• Track 17: Digital transformation for knowledge management

This conference will offer a platform for researchers, practitioners, and policymakers to engage in meaningful discussions about the collaborative and competitive dynamics of AI and human systems, paving the way for more inclusive, sustainable, and innovative futures.