E-Learning Acceptance among Oncology Healthcare Professionals in Europe

Grounded in the Unified Theory of Acceptance and Use of Technology (UTAUT), this study investigates factors influencing oncology healthcare professionals’ intentions to use e-learning within an inter-specialty training program. A cross-sectional online survey was conducted across EU/EEA/UK countries with 67 educators and 97 learners. Adapted UTAUT-based measures assessed performance expectancy, effort expectancy, facilitating conditions, attitudes toward e-learning, self-efficacy, and behavioral intention. Multiple regression analyses revealed that for educators, attitudes toward e-learning were the only significant predictor of behavioral intention to use e-learning for teaching, explaining 75.2% of the variance. For learners, attitudes toward e-learning and performance expectancy significantly predicted behavioral intention to use e-learning, explaining 60.6% of variance. These findings highlight attitudes toward e-learning as the strongest determinant of e-learning acceptance. Institutions should foster positive technology attitudes through supportive environments, awareness initiatives, and incentives to enhance digital learning adoption in oncology education.

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Publication Details

Journal
Journal of Cancer Education
Published
2026-03-27
DOI
https://doi.org/10.1007/s13187-026-02862-9
Primary Topic
Health Literacy and Information Accessibility
Type
article
Field-Weighted Citation Impact
0.00
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article

E-Learning Acceptance among Oncology Healthcare Professionals in Europe

Taibe Kulaksız, Jana Steinbacher, Marco Kalz, Max Klein et al.
Journal of Cancer Education
Health Literacy and Information Accessibility
article

E-Learning Acceptance among Oncology Healthcare Professionals in Europe

Taibe Kulaksız, Jana Steinbacher, Marco Kalz, Max Klein, Marlene Ganz
article en

Abstract

Grounded in the Unified Theory of Acceptance and Use of Technology (UTAUT), this study investigates factors influencing oncology healthcare professionals’ intentions to use e-learning within an inter-specialty training program. A cross-sectional online survey was conducted across EU/EEA/UK countries with 67 educators and 97 learners. Adapted UTAUT-based measures assessed performance expectancy, effort expectancy, facilitating conditions, attitudes toward e-learning, self-efficacy, and behavioral intention. Multiple regression analyses revealed that for educators, attitudes toward e-learning were the only significant predictor of behavioral intention to use e-learning for teaching, explaining 75.2% of the variance. For learners, attitudes toward e-learning and performance expectancy significantly predicted behavioral intention to use e-learning, explaining 60.6% of variance. These findings highlight attitudes toward e-learning as the strongest determinant of e-learning acceptance. Institutions should foster positive technology attitudes through supportive environments, awareness initiatives, and incentives to enhance digital learning adoption in oncology education.

Journal of Cancer Education
University of Stuttgart (DE), Heidelberg University (DE), Heidelberg University of Education (DE)
Openalex Percentile: Top 9%
Health Literacy and Information Accessibility
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