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寻找人机交互数字信息学的新模式:测试基于机构的技术接受模型(ITAM)。

Searching for New Model of Digital Informatics for Human-Computer Interaction: Testing the Institution-Based Technology Acceptance Model (ITAM).

作者信息

Kang Youngcheoul, Choi Nakbum, Kim Seoyong

机构信息

Graduate School of Public Administration, Korea University, Sejong 30019, Korea.

Department of Police Administration, Seowon University, Cheongju 28674, Korea.

出版信息

Int J Environ Res Public Health. 2021 May 24;18(11):5593. doi: 10.3390/ijerph18115593.

DOI:10.3390/ijerph18115593
PMID:34073786
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8197211/
Abstract

The fourth industrial revolution has produced new information technology (IT) that is widely used in the healthcare industry. Although the nature of the institution affects IT adoption, the Technology Acceptance Model (TAM), a dominant theory, has dismissed its role and influence. Our research investigates how institutions influence the adoption of new IT by using the Institution-based Technology Acceptance Model (ITAM). We conducted an empirical test by using survey data collected from 300 employees in the public sector. Structural equation modeling was applied to test the proposed hypotheses. The results showed the total effect of institutions on the intention to use new IT is positive and significant. Second, IT adoption is not only affected by external institutions but also by type of institution; the external institution takes a greater role in inducing perceived usefulness, perceived ease of use, and intention to use than does the internal. Third, perceived ease of use and perceived usefulness play mediating roles between institution and IT adoption. Fourth, an alternative expanded model to which more individual and organizational factors were added confirmed the results of the base model. We concluded that institutions have a strong impact on the level of intention for IT use through perceived ease of use and perceived usefulness.

摘要

第四次工业革命催生了广泛应用于医疗行业的新信息技术(IT)。尽管机构的性质会影响IT的采用,但作为一种主导理论的技术接受模型(TAM)却忽略了其作用和影响。我们的研究通过使用基于机构的技术接受模型(ITAM)来探究机构如何影响新IT的采用。我们利用从公共部门300名员工收集的调查数据进行了实证检验。应用结构方程模型来检验所提出的假设。结果表明,机构对使用新IT的意愿的总体影响是积极且显著的。其次,IT的采用不仅受到外部机构的影响,还受到机构类型的影响;外部机构在诱导感知有用性、感知易用性和使用意愿方面比内部机构发挥着更大的作用。第三,感知易用性和感知有用性在机构与IT采用之间起中介作用。第四,一个添加了更多个人和组织因素的替代扩展模型证实了基础模型的结果。我们得出结论,机构通过感知易用性和感知有用性对IT使用意愿水平有强烈影响。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9ae4/8197211/6d0049c33e6b/ijerph-18-05593-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9ae4/8197211/da14e54e79ac/ijerph-18-05593-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9ae4/8197211/c674f0ac2bf7/ijerph-18-05593-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9ae4/8197211/4838b282e14e/ijerph-18-05593-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9ae4/8197211/0b12aa104a94/ijerph-18-05593-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9ae4/8197211/726f9bf0ec12/ijerph-18-05593-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9ae4/8197211/6d0049c33e6b/ijerph-18-05593-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9ae4/8197211/da14e54e79ac/ijerph-18-05593-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9ae4/8197211/c674f0ac2bf7/ijerph-18-05593-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9ae4/8197211/4838b282e14e/ijerph-18-05593-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9ae4/8197211/0b12aa104a94/ijerph-18-05593-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9ae4/8197211/726f9bf0ec12/ijerph-18-05593-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9ae4/8197211/6d0049c33e6b/ijerph-18-05593-g006.jpg

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