The DOI matches its Crossref record; 77 of the 77 references it cites were found in a registry or an index.
A conceptual model integrating trust into planned change activities to enhance technology adoption behavior
Abstract
Trillions of dollars are annually spent on the development and implementation of information technology within the United States and around the world. On average, roughly 50% of such systems are considered failures or fall short of meeting the expectations set forth by management. The lost productivity and high costs associated with these shortcomings necessitate the identification of alternative frameworks for facilitating the successful acceptance and continued internalization of new technologies. Internalization is defined as the effective and continued use of a technology over time. As such, this paper introduces a conceptual model for examining the effect of trust and planned change initiatives on technology adoption behavior. We propose that technology trust and interpersonal trust, when coupled with planned change initiatives, lead to greater technology adoption and internalization. A series of propositions are introduced and examined between trust, planned change, technology adoption, and internalization. Implications and recommendations for future explorations and development are presented.
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“We show that readiness is an integral element throughout the entire adoption process instead of a precursor condition (Lippert and Davis 2006).”
From Ready or not, AI comes—an interview study of organizational AI readiness factors (2021) · cites this paper as Lippert and Davis 2006
In the citing paper
“Thus, the readiness concept is often limited to being a sequential precursor to the broader adoption concept (Lippert and Davis 2006).”
From Ready or not, AI comes—an interview study of organizational AI readiness factors (2021) · cites this paper as Lippert and Davis 2006
Citations
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Raoprasert, T., & Islam, S. M. N. (2009) · Contributions to management science · doi:10.1007/978-3-7908-2372-1_3 · Cited by 1
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Usoro, I. (2021) · University of Liverpool · doi:10.17638/03117135
Raoprasert, T., & Islam, S. M. N. (2009) · Contributions to management science · doi:10.1007/978-3-7908-2372-1_2
The union makes us strong? technology implementation in a collective bargaining culture
Kerr-McCurry, N. (2020) · Digital Repository Service (Northeastern University) · doi:10.17760/d20351634
Internalization of Politeness Values Through Arabic Learning
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Kiprono, E., Kimitei, E., & Kapkiyai, C. (2023) · American Journal of Economics and Business Innovation · doi:10.54536/ajebi.v2i3.2041
“This implies that user acceptance of a technology will be pivotal in shaping the success or failure of adopting any system (Lippert and Davis, 2006; Hooks et al ., 2022).”
BackgroundAdoption of Blockchain in Supply Chain Financing
Rao, S., Chandra, S., & Mathur, D. (2024) · Advances in systems analysis, software engineering, and high performance computing book series · doi:10.4018/979-8-3693-0405-1.ch002
Shanahan, D. E., & Johnson, C. D. (2026) · Journal of Business-to-Business Marketing · doi:10.1080/1051712x.2025.2612375
“While we know that change management efforts can facilitate new technology adoption within an organization (Lippert and Davis 2006), we have limited knowledge on how one’s current usage and future intention to continue using the technology may make an individual more or less likely to promote the…”
Rethinking trust in AI: empirical insights from labor and healthcare domains
Jung, Y., Oh, P., & Zhai, J. (2026) · Communication and Change · doi:10.1007/s44382-026-00029-0 · Cited by 1
“Satisfaction is an important practical outcome because prior research has established links between trust-related evaluations, user satisfaction, and subsequent adoption behaviors in technology contexts (Chandra et al., 2010; Lippert & Davis, 2006; Zhang et al., 2019).”
Hong, L., Yang, K., & Qu, J. (2026) · Frontiers in Public Health · doi:10.3389/fpubh.2026.1918077
Metadata
- Authors
- Lippert, S. K., & Davis, M.
- Affiliations
- Drexel University (US)
- Shenandoah University (US)
- Venue
- Journal of Information Science
- Publisher
- SAGE Publications
- Published
- 2006-10
- Volume
- 32
- Issue
- 5
- Pages
- 434-448
- ISSN
- 0165-5515 (ISSN-L)
- 1741-6485
- OpenAlex
- W2167860992
- Cited by
- 119
- References
- 77
- Citations by year
- 2026: 5 · 2025: 4 · 2024: 8 · 2023: 11 · 2022: 9 · 2021: 12 · 2020: 11 · 2019: 4 · 2018: 4 · 2017: 7 · 2016: 3 · 2015: 2 · 2014: 4 · 2013: 6 · 2012: 6
- FWCI
- 7.08
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Journal of Information Science (publishedVersion)
- Topics
- Social Sciences › Decision Sciences › Information Systems and Management › Technology Adoption and User Behaviour
- Social Sciences › Business, Management and Accounting › Management Information Systems › Information Systems Theories and Implementation
- Social Sciences › Business, Management and Accounting › Management Information Systems › ERP Systems Implementation and Impact
- Keywords
- trust in technology, interpersonal trust, planned change, technology adoption, organizational change, information technology implementation, conceptual model
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