Does Age Matter? The Influence of Age on Citizen Acceptance of a Proximity-Tracing Application in France

被引：2
作者：
Ologeanu-Taddei R. [1 ]
Guthrie C. [1 ]
Wamba S.F. [1 ]
机构：
[1] Toulouse Business School, France
来源：
International Journal of Technology and Human Interaction | 2022年 / 18卷 / 01期
关键词：
Age; Privacy; Technology Acceptance; Tracing Application; Trust;
D O I：
10.4018/IJTHI.299043
中图分类号：
学科分类号：
摘要：
Previous literature has suggested that age indirectly influences the intention to adopt an information technology, and notably a m-health application. However, few studies have investigated this link. Voluntarily proximity tracing applications (PTA) are the first mobile applications to be implemented nationwide for population health issues. The paper investigates the effect of age on the antecedents (perceived ease of use and usefulness, trust, and privacy control) of the intention to adopt a PTA. The model is tested on a representative sample of 1000 French citizens. All variables were measured using scales drawn from the extant literature and adapted to suit the context. Age was measured as a continuous variable. The authors found that age directly influences privacy control, but it has no direct effect on trust nor on the perceived ease of use or the perceived usefulness of a PTA. The results show that age is not a direct determinant of the antecedents of behavioral intention except of privacy control. © 2022 IGI Global. All rights reserved.
引用
收藏
相关论文
共 66 条
  • [1] Abolfotouh M. A., BaniMustafa A., Salam M., Al-Assiri M., Aldebasi B., Bushnak I., Use of smartphone and perception towards the usefulness and practicality of its medical applications among healthcare workers in Saudi Arabia, BMC Health Services Research, 19, 1, (2019)
  • [2] Aggelidis V., Chatzoglou P., Using a modified technology acceptance model in hospitals, International Journal of Medical Informatics, 78, 2, pp. 115-126, (2009)
  • [3] Bagozzi R., The legacy of the technology acceptance model and a proposal for a paradigm shift, Journal of the Association for Information Systems, 8, 4, pp. 244-254, (2007)
  • [4] Becker J. M., Rai A., Ringle C. M., Volckner F., Discovering unobserved heterogeneity in structural equation models to avert validity threats, Management Information Systems Quarterly, 37, 3, pp. 665-694, (2013)
  • [5] Belanger F., Crossler R. E., Privacy in the digital age: A review of information privacy research in information systems, Management Information Systems Quarterly, 35, 4, pp. 1017-1041, (2011)
  • [6] Belanger F., Hiller J. S., Smith W. J., Trustworthiness in electronic commerce: The role of privacy, security, and site attributes, The Journal of Strategic Information Systems, 11, 3-4, pp. 245-270, (2002)
  • [7] Belanger F., Xu H., The role of information systems research in shaping the future of information privacy, Information Systems Journal, 25, 6, pp. 573-578, (2015)
  • [8] Benbasat I., Wang W., Trust in and adoption of online recommendation agents, Journal of the Association for Information Systems, 6, 3, pp. 72-101, (2005)
  • [9] Boonstra A., Broekhuis M., Barriers to the acceptance of electronic medical records by physicians from systematic review to taxonomy and interventions, BMC Health Services Research, 10, 1, (2010)
  • [10] Chau P. Y. K., Hu P. J. H., Investigating healthcare professionals’ decisions to accept telemedicine technology: An empirical test of competing theories, Information & Management, 39, 4, pp. 297-311, (2002)
1234567