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Cited by 384

The DOI matches its Crossref record; 157 of the 157 references it cites were found in a registry or an index.

Trustworthiness in mHealth information services: An assessment of a hierarchical model with mediating and moderating effects using partial least squares (PLS)

Open access
Akter, Shahriar, D'Ambra, John, Ray, Pradeep·2011·Journal of the American Society for Information Science and Technology

Abstract

The aim of this research is to advance both the theoretical conceptualization and the empirical validation of trustworthiness in mHealth (mobile health) information services research. Conceptually, it extends this line of research by reframing trustworthiness as a hierarchical, reflective construct, incorporating ability, benevolence, integrity, and predictability. Empirically, it confirms that partial least squares path modeling can be used to estimate the parameters of a hierarchical, reflective model with moderating and mediating effects in a nomological network. The model shows that trustworthiness is a second-order, reflective construct that has a significant direct and indirect impact on continuance intentions in the context of mHealth information services. It also confirms that consumer trust plays the key, mediating role between trustworthiness and continuance intentions, while trustworthiness does not have any moderating influence in the relationship between consumer trust and continuance intentions. Overall, the authors conclude by discussing conceptual contributions, methodological implications, limitations, and future research directions of the study.

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Metadata

Authors
Akter, S., D'Ambra, J., & Ray, P.
Venue
Journal of the American Society for Information Science and Technology
Publisher
Wiley
Published
2010-10-25
Volume
62
Issue
1
Pages
100-116
ISSN
1532-2882 (ISSN-L)
OpenAlex
W2129827470
Cited by
384
References
157
FWCI
28.29
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Trustworthiness in mHealth information services: An assessment of a hierarchical model with mediating and moderating effects using partial least squares (PLS). https://app.cochat.ai/papers/10.1002/asi.21442
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Akter, S., D'Ambra, J., & Ray, P. (2011). Trustworthiness in mHealth information services: An assessment of a hierarchical model with mediating and moderating effects using partial least squares (PLS). Journal of the American Society for Information Science and Technology. https://doi.org/10.1002/asi.21442

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.