Predicting mHealth Acceptance Using the UTAUT2 Technology Acceptance Model: A Mixed-Methods Approach

Patrik Schretzlmaier, Achim Hecker, Elske Ammenwerth

Open source

DOI: 10.3233/shti230007
Published: 2023-05-02
Container: Studies in Health Technology and Informatics
Publisher: IOS Press
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.3233/shti230007,
  title = {Predicting mHealth Acceptance Using the UTAUT2 Technology Acceptance Model: A Mixed-Methods Approach},
  author = {Patrik Schretzlmaier and Achim Hecker and Elske Ammenwerth},
  year = {2023},
  journal = {Studies in Health Technology and Informatics},
  doi = {10.3233/shti230007},
  url = {https://doi.org/10.3233/shti230007}
}

RIS

TY  - JOUR
TI  - Predicting mHealth Acceptance Using the UTAUT2 Technology Acceptance Model: A Mixed-Methods Approach
AU  - Patrik Schretzlmaier
AU  - Achim Hecker
AU  - Elske Ammenwerth
PY  - 2023
JO  - Studies in Health Technology and Informatics
DO  - 10.3233/shti230007
UR  - https://doi.org/10.3233/shti230007
ER  -

APA

Schretzlmaier, P., Hecker, A., & Ammenwerth, E. (2023). Predicting mHealth Acceptance Using the UTAUT2 Technology Acceptance Model: A Mixed-Methods Approach. Studies in Health Technology and Informatics. https://doi.org/10.3233/shti230007

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crossref · retrieved 2026-09-26T16:11:40.904Z