Understanding health information technology adoption: A synthesis of literature from an activity perspective
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DOI: 10.1007/s10796-014-9497-2
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References listed on IDEAS
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- repec:mpr:mprres:5411 is not listed on IDEAS
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Cited by:
- Xuan Wang & Jun Sun & Ying Wang & Yi Liu, 2022. "Deepen electronic health record diffusion beyond breadth: game changers and decision drivers," Information Systems Frontiers, Springer, vol. 24(2), pages 537-548, April.
- Venugopal Gopalakrishna-Remani & Robert Paul Jones & Kerri M. Camp, 2019. "Levels of EMR Adoption in U.S. Hospitals: An Empirical Examination of Absorptive Capacity, Institutional Pressures, Top Management Beliefs, and Participation," Information Systems Frontiers, Springer, vol. 21(6), pages 1325-1344, December.
- Ravi Seethamraju & Krishna Sundar Diatha & Shashank Garg, 2018. "Intention to Use a Mobile-Based Information Technology Solution for Tuberculosis Treatment Monitoring – Applying a UTAUT Model," Information Systems Frontiers, Springer, vol. 20(1), pages 163-181, February.
- Maedeh Yassaee & Tobias Mettler, 2019. "Digital Occupational Health Systems: What Do Employees Think about it?," Information Systems Frontiers, Springer, vol. 21(4), pages 909-924, August.
- Jyoti Choudrie & Sutee Pheeraphuttranghkoon & Soheil Davari, 2020. "The Digital Divide and Older Adult Population Adoption, Use and Diffusion of Mobile Phones: a Quantitative Study," Information Systems Frontiers, Springer, vol. 22(3), pages 673-695, June.
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Keywords
Activity theory; Health information technology; System adoption; Text mining; Network analysis; Literature synthesis;All these keywords.
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