14 Veronica Qin Ting Li, Masaru Yarime, Vivi Antonopoulou, Henry Potts, and Carla-Leanne Washbourne. “Behavioural perspectives on personal health data sharing and app design: an international survey study.” Data & Policy 7 (2025): e66. Focus of Study This study explores factors in uencing willingness to use personalised health apps and share sensitive health data, using the COM-B model and a survey of 2,322 respondents from London and Hong Kong. Key ndings include that willingness is driven by data literacy, granular data control, comfort with sharing health/location data, health concerns, trust in medical expert advice (stronger than trust in AI-generated advice), and acceptance of data access by speci c parties. Demographically, men are more willing to use health apps than women, and London respondents show greater willingness than those in Hong Kong. The research also highlights contextual differences, with Hong Kong participants more wary of data sharing with government agencies and private companies due to privacy and trust concerns. Policy Recommendations Policymakers should mandate granular data control features in health apps to empower users to manage data sharing. Co-create clear standards for AI- generated health advice to build public trust, with medical expert oversight. Enhance digital health literacy campaigns to clarify data use and privacy settings. Develop innovative governance models like data trusts for collective data management. Address gender-speci c privacy risks in app design and enforcement. Strengthen data protection regulations to align with emerging technologies, particularly in regions with low institutional trust, and ensure transparency in data handling by public and private entities. SCHOLARLY SHOWCASE Miyana Yoshino, Benjamin Sadlek, Masaru Yarime, and Adnan Ali. “Knowledge absorption pathways for eco-innovation: an empirical analysis of small and medium-sized enterprises in the European Union.” European Journal of Innovation Management 28, no. 2 (2025): 426–453. Focus of Study This study explores the external knowledge absorption pathways that drive proactive eco-innovations (proactive-EIs) among SMEs in resource-intensive sectors of the EU, adopting a national innovation system (NIS) framework with micro-, meso-, and macro-level determinants. Using binary logistic regression on survey data of 6,188 SMEs, it nds that public environmental awareness (micro-level), national economic complexity (macro- level), and public sector R&D (macro-level) positively in uence proactive-EI adoption. Conversely, external collaboration (meso-level) and intra-industry agglomeration (meso-level) have negative effects. The research addresses gaps in understanding external knowledge-based eco-innovation and heterogeneity across EU member states, focusing on collaborative, technology-intensive, and high-investment proactive- EIs linked to the circular economy. Policy Recommendations Policymakers should strengthen public environmental awareness campaigns to motivate SMEs’ proactive-EI adoption. Increase public sector R&D investments targeted at resource-intensive sectors to provide accessible technical knowledge for eco-innovation. Leverage national economic complexity by supporting knowledge diffusion between high-tech and resource- intensive industries. Reorient meso-level policies: re ne external collaboration frameworks to reduce coordination barriers for SMEs, and redesign agglomeration policies to avoid counterproductive competition in eco-innovation. Tailor interventions to EU member states’ contextual differences to maximize the uptake of proactive-EIs and advance the circular economy.
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