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The Assessment of Big Data Adoption Readiness with a Technology–Organization–Environment Framework: A Perspective towards Healthcare Employees
Open accessAbstract
Big data is rapidly being seen as a new frontier for improving organizational performance. However, it is still in its early phases of implementation in developing countries’ healthcare organizations. As data-driven insights become critical competitive advantages, it is critical to ascertain which elements influence an organization’s decision to adopt big data. The aim of this study is to propose and empirically test a theoretical framework based on technology–organization–environment (TOE) factors to identify the level of readiness of big data adoption in developing countries’ healthcare organizations. The framework empirically tested 302 Malaysian healthcare employees. The structural equation modeling was used to analyze the collected data. The results of the study demonstrated that technology, organization, and environment factors can significantly contribute towards big data adoption in healthcare organizations. However, the complexity of technology factors has shown less support for the notion. For technology practitioners, this study showed how to enhance big data adoption in healthcare organizations through TOE factors.
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“This framework was first proposed by [53] and has since been applied extensively as a model for analyzing institutional readiness and adoption of technological innovations [47-49, 54, 55, 56].”
From Toward universal access to information: an analysis of digital accessibility policy readiness in U.S. public universities (2026) · cites this paper as [54]
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Metadata
- Authors
- Ghaleb, E. A. A., Dominic, P. D. D., Fati, S. M., Muneer, A., & Ali, R. F.
- Affiliations
- Universiti Teknologi Petronas (MY)
- Prince Sultan University (SA)
- Corresponding author
- Ghaleb, Ebrahim A. A.
- Ali, Rao Faizan
- Venue
- Sustainability
- Publisher
- MDPI AG
- Published
- 2021-07-27
- Volume
- 13
- Issue
- 15
- Pages
- 8379
- ISSN
- 2071-1050 (ISSN-L)
- OpenAlex
- W3187019838
- Cited by
- 134
- References
- 192
- Citations by year
- 2026: 23 · 2025: 34 · 2024: 32 · 2023: 27 · 2022: 15 · 2021: 3
- FWCI
- 19.02
- Type
- journal article
- Language
- en
- Update notices
- correction (2021-07-27)
- Open access
- gold
- doi.org
- Licence
- Locations
- Sustainability (publishedVersion, cc-by)
- RePEc: Research Papers in Economics (submittedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Funders
- Prince Sultan University (Funding Agency PSU-Funding number 0000)
- Topics
- Social Sciences › Business, Management and Accounting › Management Information Systems › Big Data and Business Intelligence
- Social Sciences › Decision Sciences › Information Systems and Management › Big Data Technologies and Applications
- Social Sciences › Business, Management and Accounting › Management Information Systems › Information Technology Governance and Strategy
- Keywords
- big data adoption, technology-organization-environment framework, healthcare organizations, healthcare workers, adoption readiness, technological complexity, developing countries
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