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Riikka HirvonenView profile

Researcher

• Educational Psychology
• Developmental Psychology
• School Well-being
• +3 more

Riikka Hirvonen is a Senior Researcher at the University of Eastern Finland (UEF) in the School of Applied Educational Science and Teacher Education, part of the Philosophical Faculty. She holds a PhD in Psychology and has been at UEF since 2019, previously working at the University of Jyväskylä. Her research focuses on primary and secondary students’ academic behaviors, emotions, and well-being, particularly exploring how temperament and learning environments influence achievement and adjustment. She is affiliated with the Motivation, learning, and well-being (MoLeWe UEF) research group and leads projects like 'Sustainable Food Education and Food Waste' and 'STAIRWAY study.' Her educational background includes a PhD in Psychology, with no listed formal degrees beyond this. Research interests span academic emotions, self-regulation, statistical modeling, and teacher education roles. Notable projects investigate motivation dynamics during educational transitions and pandemic impacts on student well-being. Riikka’s work emphasizes practical pedagogy in teacher training schools, balancing subject expertise with mentorship for student teachers. Recent publications (2021–2025) highlight themes like teacher educator roles, maternal homework involvement, and adolescent mental health interventions. She collaborates widely, co-authoring studies on classroom climate, perfectionism, and remote learning during the pandemic. Key contributions include developing programs like the 'Youth Compass' for adolescent mental health and analyzing bidirectional influences between family involvement and academic motivation. Her research bridges theory and practice, aiming to improve support systems for students with learning or adjustment challenges.

• Data Analytics
• Information Systems
• Social Robotics
• +6 more

Hongxiu Li is an Associate Professor (tenure track) at Tampere University's Department of Information and Knowledge Management. She holds a PhD in Information Systems Sciences from Turku School of Economics (2011). Her research focuses on social robotics, data analytics, online health communities, and hospitality technology. She has contributed significantly to understanding human-robot interactions in service industries and VR applications in sports. Research Interests: Social robotics, data analytics, online health communities, hospitality technology, AI in service industries, and VR/AR applications. Notable Achievements: Recipient of the 2017 Information Systems Scientist Award. Professional Activities: Reviewer for multiple journals/conferences including European Conference on Information Systems and International Conference on e-Business. Her work emphasizes practical applications of technology in sectors like healthcare, hospitality, and education. Recent studies explore social robots' impact on hotel customer satisfaction and emotional responses to immersive VR sports experiences.

Marko SeppänenView profile

Professor

• Digital Platforms
• Value Creation Mechanisms
• Ecosystem Building
• +6 more

Marko Seppänen is a Professor of Industrial Management and the incoming Dean of the Faculty of Management and Business at Tampere University, effective April 1, 2025. He leads the Research Centre for Managing Circular Economy (ManCE) and has an extensive publication record with over 200 research outputs spanning two decades. Professor Seppänen's research focuses on digital platforms and new value creation mechanisms, ecosystem building (particularly in bio- and circular economy), technology management and innovations, and new business development. His work bridges theoretical frameworks with practical applications in industrial contexts, with a strong emphasis on sustainable business models and digital transformation. His research has significant implications for both traditional industries undergoing digital transformation and emerging sectors focused on circular economy principles. His recent publications demonstrate a clear trend toward examining business model innovation in the context of digital platforms, electrification, and sustainability. His work spans multiple industries including heavy machinery, urban innovation, and API ecosystems. A significant portion of his research explores how organizations can successfully navigate digital transformation while creating value in emerging ecosystems, with particular attention to stakeholder management, temporal dynamics, and task-technology fit. Recipient of 5 significant prizes (specific awards not detailed in available information) Extensive media coverage with 3 press/media mentions Active in 130 professional activities Professor Seppänen has supervised numerous doctoral and master's students (though specific names not provided in available information) and has secured multiple research grants supporting his work on circular economy, digital platforms, and business model innovation. His research has practical applications across multiple industries and has influenced both academic discourse and business practice. He leads the Research Centre for Managing Circular Economy (ManCE), which focuses on developing practical frameworks for implementing circular economy principles in industrial contexts. The center brings together interdisciplinary teams to address challenges in sustainable value creation, resource efficiency, and business model innovation for the circular economy.

• Ecology
• Computer Science
• Evolutionary Biology
• +5 more

Tommi Mononen is a University Researcher at the University of Helsinki's Organismal and Evolutionary Biology Research Program. He earned his PhD in Computer Science in 2010, specializing in computational methods for statistical model selection. His interdisciplinary research spans ecology, computational biology, and neuroscience, with current focus on automated species identification for the LIFEPLAN project. His research integrates computational and statistical approaches across domains: Ecology & Evolution: Metapopulation dynamics, host-pathogen systems, and biodiversity monitoring via camera-trap data. Computational Methods: Normalized Maximum Likelihood (NML) model selection, Gaussian processes, and optimal control theory applied to biological systems. Neuroscience: Multimodal integration of MEG/fMRI for cognitive task analysis. Recent publications emphasize biodiversity sampling, cellular growth optimization, evolutionary fitness landscapes, and neuroimaging. He actively contributes to projects including the ERC-funded LIFEPLAN (2020–2026) and previously the Centre of Excellence in Metapopulation Research (2000–2011). Mononen collaborates with research groups led by Otso Ovaskainen (LIFEPLAN), Ilkka Hanski (metapopulations), Anna-Liisa Laine (plant biology), and Ville Mustonen (bioinformatics). He participates in conferences (e.g., Oikos Finland 2023) and peer-reviews for journals like Journal of Grid Computing .

• Business Analytics
• Digital Transformation
• Task-Technology Fit
• +3 more

Givemore Muchenje is a Postdoctoral Research Fellow at the Faculty of Management and Business, Tampere University, specializing in Information and Knowledge Management. His work focuses on business analytics, digital transformation, and organizational change dynamics. Research interests include exploring how task-technology fit influences business value realization, the role of complementarity in technology adoption, and the temporal aspects of digital transformation. He investigates causal ambiguity in technology implementation and its impact on organizational agility. Recent publications (2023-2024) emphasize frameworks linking business analytics to problem resolution, strategic alignment of technologies, and measuring the speed of digital change. His work bridges theoretical models with practical applications in organizational settings. No scientific awards or advised students are explicitly listed. Contact: givemore.muchenje@tuni.fi | +358504110958 | Hervanta Campus, Tampere University.