The impact of service level on the acceptance of application service oriented medical records

Liu, Liping; Ma, Qingxiong

doi:10.1016/j.im.2004.12.004

Cited by 59Technology Adoption and User BehaviourElectronic Health Records SystemsHealth, Technology, Consumer Behavior

The impact of service level on the acceptance of application service oriented medical records

Liu, Liping, Ma, Qingxiong·2005·Information & Management

DOI 10.1016/j.im.2004.12.004

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The added variables in reviewed studies included perceived IT system characteristics, personal characteristics of users, organizational characteristics, and psychological variables such as ownership and trust.
“The list of added variables includes various perceived IT system characteristics such as how well the system performs [96, 107, 112] and how relevant it is to one’s job [106], personal characteristics of users [98, 105, 106], characteristics of the organization such as readiness for IT or technical support [98, 105, 106, 109], and psychological variables such as ownership [101] and trust [103].”
From The Technology Acceptance Model: Its past and its future in health care (2010) · cites this paper as [112]

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The Technology Acceptance Model: Its past and its future in health care
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Authors: Liu, L., & Ma, Q.
Affiliations: University of Akron (US)
University of Central Missouri (US)
Corresponding author: Liu, Liping
ORCID: Liu, Liping
Venue: Information & Management
Publisher: Elsevier BV
Published: 2005-12
Volume: 42
Issue: 8
Pages: 1121-1135
ISSN: 0378-7206 (ISSN-L)
DOI: 10.1016/j.im.2004.12.004
OpenAlex: W1968614162
Cited by: 59
References: 83
Citations by year: 2025: 1 · 2022: 2 · 2020: 2 · 2019: 4 · 2018: 2 · 2016: 3 · 2014: 6 · 2013: 5 · 2012: 5
FWCI: 9.74
Type: journal article
Language: en
Open access: closed
Licence: www.elsevier.com/tdm/userlicense/1.0/ (tdm)
Locations: Information & Management (publishedVersion)
Topics: Social Sciences › Decision Sciences › Information Systems and Management › Technology Adoption and User Behaviour
Health Sciences › Health Professions › Health Information Management › Electronic Health Records Systems
Health Sciences › Health Professions › Health Information Management › Health, Technology, Consumer Behavior
Keywords: technology acceptance model, healthcare workers, ease of use, nomological network, conditional independence, spurious association, electronic health records

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