Jari Jussila

Jari Jussila is a Researcher and University Lecturer at the HAMK Design Factory, part of Häme University of Applied Sciences (HAMK). He serves as Director of the HAMK Design Factory, Principal Research Scientist, and Research Innovation Ambassador for RUN-EU University. His work focuses on design-based learning, circular economy, agile methodologies, and innovation management, with projects like Agile Mindset, BASE, KOTILO, and OPTIMA. He actively collaborates with industry partners and leads initiatives in data analytics, education reform, and sustainable practices. Jussila’s research spans organizational learning, digitalization, and social media analysis, addressing challenges in SMEs and public sectors. His office is located at Visakaarre 4, Hämeenlinna, and he is often found at Matrix, a collaborative workspace.

Key research interests include leveraging design thinking and agile frameworks to enhance innovation capabilities, fostering transversal skills in students through university-industry projects, and advancing circular economy practices through participatory design and data-driven logistics. He explores the intersection of technology adoption, learning culture, and organizational agility in cross-country contexts.

His articles highlight trends in data analytics for circular economy logistics optimization, challenges in agile leadership across technological and non-technological sectors, and the role of social media in knowledge sharing and brand management. Jussila has contributed to frameworks for open data ecosystems, smart mobility systems, and educational hackathons. His work emphasizes practical solutions for SMEs, including tools for mistake culture in agile environments and semantic analysis of social media for policy insights.

He has advised on projects involving smart cities, e-government services, and sensor technologies for employee experience improvement. Jussila’s interdisciplinary approach bridges academia and industry through platforms like the Design Factory, which integrates innovation spaces and pedagogical models for Education 4.0. His recent focus includes hybrid machine learning models for cryptocurrency forecasting and cognitive computing approaches for human activity recognition.