Startup ecosystems in the industry 5.0 paradigm: entrepreneurial trend analysis through text mining

The Fifth Industrial Revolution (Industry 5.0) emerges as a novel paradigm centered on intelligent human-machine interaction, fundamentally transforming entrepreneurial ecosystems through the integration of advanced technologies such as artificial intelligence, collaborative robotics, the Industrial Internet of Things, and cyber-physical systems. This research employs a text mining approach to analyze 101 scientific articles published between 2017 and 2025, identifying emerging entrepreneurship trends and startup ecosystems within the Industry 5.0 context. The analysis process encompassed textual data preprocessing, keyword extraction, topic modeling using the Latent Dirichlet Allocation (LDA) algorithm, sentiment analysis, and concept clustering through K-means, with all clusters achieving silhouette coefficients exceeding 0.7. Results identified five primary themes: “Digital Innovation,” “Startup Ecosystem,” “Industry 5.0,” “Data Analytics,” and “Sustainability and Future,” along with six conceptual clusters: “Intelligent Manufacturing Systems and Future Factories,” “Open Innovation Platforms and Collaborative Economy,” “Digital Entrepreneurship and Business Model Transformation,” “Sustainability and Responsible Entrepreneurship,” “Data Analytics and Business Intelligence,” and “Policy Making and Innovation Ecosystem Development.” Sentiment analysis revealed “Collaborative Robotics” and “Sustainability” garnered the most positive scores, while “Cybersecurity” exhibited negative trends. Five emerging trends were identified: transition from technology-centricity to human-centricity, increasing importance of sustainability and social responsibility, convergence of physical and digital worlds, growth of platform and collaborative economy, and mass personalization and agile production. These findings demonstrate that startup success in the Industry 5.0 era requires integrating cyber-physical technologies, developing platform-based business models, and adopting mass customization as competitive advantages, providing practical guidance for building sustainable and resilient entrepreneurial ecosystems. The findings further demonstrate explicit linkages between identified conceptual clusters and the United Nations Sustainable Development Goals (SDGs), particularly SDG 9 (Industry, Innovation, and Infrastructure), SDG 12 (Responsible Consumption and Production), and SDG 13 (Climate Action), positioning the study as a contribution to both entrepreneurship theory and the global sustainability agenda. Overall, the results offer a strategic foundation for fostering human-centered, adaptive, and sustainability-oriented entrepreneurial ecosystems aligned with the SDGs.