Adoption of Electronic Health Records in the Presence of Privacy Concerns: The Elaboration Likelihood Model and Individual Persuasion1
Abstract
Within the emerging context of the digitization of health care, electronic health records (EHRs) constitute a significant technological advance in the way medical information is stored, communicated, and processed by the multiple parties involved in health care delivery. However, in spite of the anticipated value potential of this technology, there is widespread concern that consumer privacy issues may impede its diffusion. In this study, we pose the question: Can individuals be persuaded to change their attitudes and opt-in behavioral intentions toward EHRs, and allow their medical information to be digitized even in the presence of significant privacy concerns? To investigate this question, we integrate an individual’s concern for information privacy (CFIP) with the elaboration likelihood model (ELM) to examine attitude change and likelihood of opting-in to an EHR system. We theorize that issue involvement and argument framing interact to influence attitude change, and that concern for information privacy further moderates the effects of these variables. We also propose that likelihood of adoption is driven by concern for information privacy and attitude. We test our predictions using an experiment with 366 subjects where we manipulate the framing of the arguments supporting EHRs. We find that an individual’s CFIP interacts with argument framing and issue involvement to affect attitudes toward the use of EHRs. In addition, results suggest that attitude toward EHR use and CF…
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Kim et al. (2005), Majchrzak et al. (2005), and Angst and Agarwal (2009) reported significant moderating effects with R-square changes about 1%.
“For example, Kim et al. (2005), Majchrzak et al. (2005), and Angst and Agarwal (2009) also reported significant moderating effects with R-square changes about 1%.”
From Trust, Satisfaction, and Online Repurchase Intention: The Moderating Role of Perceived Effectiveness of E-Commerce Institutional Mechanisms1 (2014) · cites this paper as Angst and Agarwal (2009)
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- Authors
- Angst, C. M., & Agarwal, R.
- Affiliations
- Department of Management, Mendoza College of Business, University of Notre Dame, Notre Dame, IN 46556, U.S.A.
- University of Maryland, College Park (US)
- Venue
- MIS Quarterly
- Publisher
- MIS Quarterly
- Published
- 2009-06-01
- Volume
- 33
- Issue
- 2
- Pages
- 339-370
- ISSN
- 0276-7783 (ISSN-L)
- 2162-9730
- OpenAlex
- W2146217571
- Cited by
- 1,043
- References
- 17
- Citations by year
- 2026: 45 · 2025: 41 · 2024: 59 · 2023: 75 · 2022: 69 · 2021: 87 · 2020: 78 · 2019: 87 · 2018: 71 · 2017: 55 · 2016: 79 · 2015: 74 · 2014: 53 · 2013: 54 · 2012: 36
- FWCI
- 81.10
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- MIS Quarterly (publishedVersion)
- Topics
- Health Sciences › Health Professions › Health Information Management › Electronic Health Records Systems
- Social Sciences › Sociology and Political Science › Privacy, Security, and Data Protection
- Social Sciences › Decision Sciences › Information Systems and Management › Technology Adoption and User Behaviour
- Keywords
- electronic health records, health information privacy, elaboration likelihood model, attitude change, issue involvement, technology adoption
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