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2. The impact of perceived crisis severity on intention to use voluntary proximity tracing applicationsMarina Trkman, Aleš Popovič, Peter Trkman, 2021, izvirni znanstveni članek Ključne besede: informatics, artificial intelligence, COVID-19, crisis severity, tracing applications, benefits, intention to use Celotno besedilo (datoteka, 921,74 KB) Gradivo ima več datotek! Več... |
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8. Caregiving situation as a predictor of subjective caregiver burdenSimona Hvalič Touzery, Marina Trkman, Vesna Dolničar, 2022, izvirni znanstveni članek Ključne besede: informal care, subjective caregiver burden, quantitative study, COVID-19, Slovenia Celotno besedilo (datoteka, 476,77 KB) Gradivo ima več datotek! Več... |
9. An assessment of the structural validity and measurement invariance of the Web-Use Skills Scale for aging internet usersKatja Prevodnik, Marina Trkman, Darja Grošelj, Jošt Bartol, Andraž Petrovčič, 2022, izvirni znanstveni članek Ključne besede: aging adults, cross-validation, internet skills, measurement invariance, structural validity, Web-Use Skills scale Celotno besedilo (datoteka, 830,02 KB) Gradivo ima več datotek! Več... |
10. The roles of privacy concerns and trust in voluntary use of governmental proximity tracing applicationsMarina Trkman, Aleš Popovič, Peter Trkman, 2023, izvirni znanstveni članek Ključne besede: health care, informatics, electronic commerce, trust, preventative e-health, proximity tracing applications, UTAUT, trust in government, trust in technology, COVID-19 Celotno besedilo (datoteka, 1,11 MB) Gradivo ima več datotek! Več... |