special track details

Entrepreneurship, Innovation and New Technologies

Description

Entrepreneurs and companies increasingly operate in environments characterized by volatility, uncertainty, complexity, and ambiguity (VUCA), requiring them to rapidly adapt to changing market and environmental conditions. Navigating these scenarios requires new strategies, knowledge, capabilities, and technologies. New and digital technologies can support entrepreneurs in adapting to external changes, improving decision-making and communication, and responding to disruptive events. Digital transformation has encouraged companies and entrepreneurs to proactively adopt and leverage emerging technologies. At the same time, their effective exploitation requires appropriate knowledge and capabilities. Technology-related capabilities, including those associated with digital platforms, big data, and artificial intelligence (AI), can become strategically relevant for sustaining competitive advantage. Digital transformation is also reshaping entrepreneurial practices and business models by providing new tools, resources, and opportunities. Technologies such as AI, machine learning, IoT, big data, digital platforms, mobile applications, social media, cloud computing, blockchain, and FinTech are transforming entrepreneurial processes and enabling new forms of digital entrepreneurship. They can facilitate new venture creation, entrepreneurial opportunities, business model innovation, collaboration, access to knowledge and resources, and entrepreneurial decision-making. At the same time, technological failures can represent valuable learning opportunities through which entrepreneurs develop new knowledge, competencies, capabilities, and strategies. These developments establish a direct connection with the IFKAD 2027 theme, “The Ecology of Knowledge in the AI Era”. AI and other emerging technologies are transforming how entrepreneurs access, generate, combine, share, and exploit knowledge, as well as how knowledge circulates among entrepreneurs, ventures, stakeholders, and innovation ecosystems. Understanding the interplay between entrepreneurial ventures, technological advancements, knowledge, and innovation ecosystems is therefore increasingly important for explaining the evolution of entrepreneurship and the next wave of start-up growth. From a scholarly perspective, despite increasing attention to new technologies, their actual added value for entrepreneurs and their role in shaping the future of entrepreneurship remain insufficiently understood. Further research is needed to explain how technologies foster entrepreneurial opportunities, influence entrepreneurial behaviours and decision-making, support digital transformation, and contribute to building and growing enduring businesses. From a managerial perspective, understanding how entrepreneurs can effectively combine technologies, knowledge, and capabilities is essential to exploit emerging opportunities, respond to uncertainty, make better decisions, access critical resources, and develop competitive and sustainable ventures.

Indicative Topics
  • AI and emerging technologies in entrepreneurship
  • Generative and agentic AI for entrepreneurial activities
  • Digital transformation and digital entrepreneurship
  • AI-enabled entrepreneurial decision-making
  • Knowledge creation, sharing, and exploitation in entrepreneurial ventures
  • Entrepreneurial knowledge and capabilities in the AI era
  • AI, learning, and capability development in entrepreneurial ventures
  • Digital platforms and entrepreneurial ecosystems
  • AI and knowledge flows within innovation and entrepreneurial ecosystems
  • New technologies and entrepreneurial opportunity recognition and exploitation
  • New technologies and new venture creation
  • Technology-enabled business model innovation
  • AI and digital technologies for start-up growth and scaling
  • Big data and analytics for entrepreneurship
  • IoT, blockchain, cloud computing, FinTech, and other emerging technologies in entrepreneurship
  • Technology-enabled collaboration, networks, and access to resources
  • Human-AI collaboration in entrepreneurial activities
  • Entrepreneurial behaviours and practices in the AI era
  • Technological failures, entrepreneurial learning, and resilience
  • Emerging technologies, uncertainty, and VUCA environments
  • Responsible and sustainable use of AI and emerging technologies in entrepreneurship
  • The evolution of entrepreneurial and innovation ecosystems in the AI era
Keywords
Entrepreneurship, Innovation, Knowledge, New technologies, Start-ups
Organizers
Antonio Cimino – University of Messina, Italy
Ciro Troise – University of Turin, Italy
Vincenzo Corvello – University of Messina, Italy
Serena Filippelli – University of Parma, Italy
Vittorio Solina – University of Calabria, Italy

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