Evidence map›Paper›PMID 41181554›Full record

ArticleDigital health

Unlocking online healthcare platform adoption: Decoding the "Key of CSR" through mixed methods integration of technology acceptance model mechanisms and privacy barriers.

Jinjiang He, Bingqian Wang

Abstract read
In one paragraph

Article in Digital health. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Jinjiang HeSchool of Management, Zhejiang University of Finance & Economics, Zhejiang, China.ORCID https://orcid.org/0000-0002-2357-3640
Bingqian WangSchool of Management, Zhejiang University of Finance & Economics, Zhejiang, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: With the rise in public health awareness and the rapid development of digital healthcare services, users' perceptions of platform corporate social responsibility (PCSR) have become an important factor influencing behavioral intention (BI) to use online healthcare platforms. Methods: Drawing upon the technology acceptance model (TAM) and customer perceived value (CPV) theory, this study develops a moderated mediation model in which perceived ease of use (PEU) and perceived usefulness (PU) mediate the relationship between PCSR and BI, while privacy concerns (PCs) moderate this relationship. A mixed-methods approach is adopted, integrating structural equation modeling (SEM) with necessary condition analysis (NCA), to examine both the sufficiency and necessity of the proposed conditions. Results: The SEM results indicate that PCSR positively affects BI both directly and indirectly via PEU and PU. In addition, PC significantly weakens the positive effect of PCSR on BI. The NCA results further reveal that PU and PCSR are necessary conditions for users' intention to use online healthcare platforms. Conclusion: This study advances the theoretical understanding of TAM in high-sensitivity service contexts, expands the application of PCSR in the domain of digital health, and provides actionable insights for online healthcare platforms seeking to enhance user engagement through socially responsible and privacy-aware strategies.

Indexed as

behavioral intentionnecessary condition analysisOnline healthcare platformsprivacy concernsusers’ perceptions of platform corporate social responsibility

Identifiers

PMID41181554
PMCPMC12576168

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.