The DOI matches its Crossref record; 6 of the 6 references it cites were found in a registry or an index.
Acceptance and adoption of the innovative use of smartphone
Abstract
Purpose: The purpose of this study is to investigate human motivations affecting an adoption decision for smartphone among medical doctors and nurses. Design/methodology/approach: This study investigates smartphone users' perception based on users' perceived adoption under the self‐efficacy, technology acceptance model (TAM) and innovation attributes leading to an adoption attitude under innovation diffusion theory by providing research constructs for the domain of medical doctors and nurses, testing them with reliability and validity, and demonstrating their distinctiveness with hypothesis testing. Findings: The results indicate that behavioral intention to use was largely influenced by perceived usefulness (PU) and attitude toward using smartphone. PU and perceived ease of use positively determine attitude toward using smartphone. Research limitations/implications: For researchers, this study shows the possible and valuable adaptation of TAM constructs into the smartphone acceptance of doctors and nurses. The perceptions of smartphone adoption in this study are based on a one‐time survey. For better reliability a longitudinal study to show the measurement of attitudes will be needed. Practical implications: One of the important implications is that organizational factors become a significant predictor of users' attitude toward innovative technologies. Originality/value: The domain of research, smartphone, is a new technology in some industries; thus smartphone adoption deserves investigation in its own right. Although academic research of smartphone adoption in healthcare is limited, this study contributes to the field by adding an important new investigation.
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Cites
Perceived usefulness, perceived ease of use, and user acceptance of information technology
Davis, F. D. (1989) · MIS Quarterly · doi:10.2307/249008 · Cited by 68,483
Moore, G. C., & Benbasat, I. (1991) · Information Systems Research · doi:10.1287/isre.2.3.192 · Cited by 9,150
Mathieson, K. (1991) · Information Systems Research · doi:10.1287/isre.2.3.173 · Cited by 4,216
A Model of the Antecedents of Perceived Ease of Use: Development and Test
Venkatesh, V., & Davis, F. D. (1996) · Decision Sciences · doi:10.1111/j.1540-5915.1996.tb01822.x · Cited by 3,802
Information technology acceptance by individual professionals: a model comparison approach
Chau, P. Y. K., & Hu, P. J. (2001) · Decision Sciences · doi:10.1111/j.1540-5915.2001.tb00978.x · Cited by 1,409
A review and a framework of handheld computer adoption in healthcare
Lu, Y.-C., Xiao, Y., Sears, A., & Jacko, J. A. (2005) · International Journal of Medical Informatics · doi:10.1016/j.ijmedinf.2005.03.001 · Cited by 315
Cited by
Min, S., So, K. K. F., & Jeong, M. (2019) · Journal of Travel & Tourism Marketing · doi:10.1080/10548408.2018.1507866 · Cited by 489
Kirwan, M., Vandelanotte, C., Fenning, A., & Duncan, M. J. (2013) · Journal of Medical Internet Research · doi:10.2196/jmir.2588 · Cited by 343
Kim, J., Merrill, K., Xu, K., & Sellnow, D. D. (2020) · International Journal of Human–Computer Interaction · doi:10.1080/10447318.2020.1801227 · Cited by 288
Exploring consumers’ intention to accept smartwatch
Wu, L.-H., Wu, L.-C., & Chang, S.-C. (2016) · Computers in Human Behavior · doi:10.1016/j.chb.2016.07.005 · Cited by 226
Information technology adoption: a review of the literature and classification
Salahshour Rad, M., Nilashi, M., & Mohamed Dahlan, H. (2018) · Universal Access in the Information Society · doi:10.1007/s10209-017-0534-z · Cited by 181
Metadata
- Authors
- Park, Y., & Chen, J. V.
- Venue
- Industrial Management & Data Systems
- Publisher
- Emerald
- Published
- 2007-11-06
- Volume
- 107
- Issue
- 9
- Pages
- 1349-1365
- ISSN
- 0263-5577 (ISSN-L)
- OpenAlex
- W2117940537
- Cited by
- 540
- References
- 6
- FWCI
- 22.59
- Type
- journal article
- Language
- en
- Open access
- closed
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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