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Cited by 429

The DOI matches its Crossref record; 12 of the 12 references it cites were found in a registry or an index.

Exploring the path to big data analytics success in healthcare

Open access
Wang, Yichuan, Hajli, Nick·2017·Journal of Business Research
DOI 10.1016/j.jbusres.2016.08.002
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Abstract

Although big data analytics have tremendous benefits for healthcare organizations, extant research has paid insufficient attention to the exploration of its business value. In order to bridge this knowledge gap, this study proposes a big data analytics-enabled business value model in which we use the resource-based theory (RBT) and capability building view to explain how big data analytics capabilities can be developed and what potential benefits can be obtained by these capabilities in the health care industries. Using this model, we investigate 109 case descriptions, covering 63 healthcare organizations to explore the causal relationships between the big data analytics capabilities and business value and the path-to-value chains for big data analytics success. Our findings provide new insights to healthcare practitioners on how to constitute big data analytics capabilities for business transformation and offer an empirical basis that can stimulate a more detailed investigation of big data analytics implementation.

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Metadata

Authors
Wang, Y., & Hajli, N.
Venue
Journal of Business Research
Publisher
Elsevier BV
Published
2017-01
Volume
70
Pages
287-299
ISSN
0148-2963 (ISSN-L)
DOI
10.1016/j.jbusres.2016.08.002
OpenAlex
W2510113590
Cited by
429
References
12
FWCI
62.35
Type
journal article
Language
en
Open access
green

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

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.