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Uniapnean vakavuuden ja unesta havahtumisen tyypin vaikutus havahtumisen etenemiseen aivokuorella
No full textStudent teacher professional agency in Finland and Brazil: a cross-national study
No full textThis research project investigates student teacher professional agency (STPA) in a Brazilian and a Finnish teacher education program using a quantitative approach, unlike earlier qualitative studies. A questionnaire assessing STPA, environmental (i.e., curriculum coherence and learning environment), and individual (i.e., teacher identity) factors was administered to student teachers to both programs. Data were analyzed using structural equation modeling and network analysis. The student teachers’ perceptions of (1) coherence between parts of the program, theory, and practice; (2) positive climate with their peers and mentors’ recognition; and (3) teacher identity were the most relevant factors regulating STPA in both countries. These findings offer insights into developing a teacher education curriculum focused on strengthening STPA
CORPORATE ACCOUNTABILITY FOR CLIMATE CHANGE IN THE EU: EXPLORING THE INTERACTION AND COHERENCE OF DUE DILIGENCE OBLIGATIONS
No full textEnsin laki, sitten evankeliumi - Lain ja evankeliumin luonne ja merkitys Galatalais- ja Roomalais- kirjeessä
No full textPerformance information to support leadership - Clinical performance measures in the work of senior doctors
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Primary teachers' experiences of remote teaching from the perspective of Job Demands and Resources
No full textEngagement with social media content and interactive behavior on TikTok - The Finnish Business School Graduates
No full textWork Characteristics Needed by Middle Managers When Leading AI-Integrated Service Teams
No full textArtificial intelligence (AI) is a significant part of digital transformation that signifies new requirements for middle managers in AI-integrated work contexts. This is particularly evident in financial service industries. Given the significance and rapidity of this technological transition, this case study investigated how middle managers perceived the impacts of AI system integration on their work characteristics. Interview data were gathered from 25 middle managers of a company providing financial services. The data were analyzed using the Gioia method. The findings showed that the AI systems applied in the case company were perceived as technical tools (mechanical AI) or coworkers (thinking AI and feeling AI), which had different impacts on middle managers’ work characteristics and the relationship between humans and AI systems. The middle managers’ work characteristics included contextual, task, competence, social, and relationship characteristics. Regarding the relationship characteristics, this study shows theoretically distinct human–AI relationship types. The findings are organized into a conceptual framework. AI system integration in service teams is a complex phenomenon that makes middle managers’ work more demanding and requires balancing and managing multiple challenges and dialectical tensions. The findings inform the selection and training of managers according to changing work characteristics in the digital age
