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    Rights statement: This is the peer reviewed version of the following article: Wang, Y. , Kung, L. , Gupta, S. and Ozdemir, S. (2019), Leveraging Big Data Analytics to Improve Quality of Care in Healthcare Organizations: A Configurational Perspective. Brit J Manage, 30: 362-388. doi:10.1111/1467-8551.12332 which has been published in final form at https://onlinelibrary.wiley.com/doi/full/10.1111/1467-8551.12332 This article may be used for non-commercial purposes in accordance With Wiley Terms and Conditions for self-archiving.

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Leveraging Big Data Analytics to Improve Quality of Care in Healthcare Organizations: A Configurational Perspective

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Leveraging Big Data Analytics to Improve Quality of Care in Healthcare Organizations: A Configurational Perspective. / Wang, Yichuan; Kung, Lee Ann; Gupta, Suraksha et al.
In: British Journal of Management, Vol. 30, No. 2, 01.04.2019, p. 362-388.

Research output: Contribution to Journal/MagazineJournal articlepeer-review

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Wang Y, Kung LA, Gupta S, Ozdemir S. Leveraging Big Data Analytics to Improve Quality of Care in Healthcare Organizations: A Configurational Perspective. British Journal of Management. 2019 Apr 1;30(2):362-388. doi: 10.1111/1467-8551.12332

Author

Wang, Yichuan ; Kung, Lee Ann ; Gupta, Suraksha et al. / Leveraging Big Data Analytics to Improve Quality of Care in Healthcare Organizations : A Configurational Perspective. In: British Journal of Management. 2019 ; Vol. 30, No. 2. pp. 362-388.

Bibtex

@article{acb431ee5c4f458e8f9d648bc06f848c,
title = "Leveraging Big Data Analytics to Improve Quality of Care in Healthcare Organizations: A Configurational Perspective",
abstract = "Big data analytics (BDA) is beneficial for organizations, yet implementing BDA to leverage profitability is fundamental challenge confronting practitioners. Although prior research has explored the impact that BDA has on business growth, there is a lack of research that explains the full complexity of BDA implementations. Examination of how and under what conditions BDA achieves organizational performance from a holistic perspective is absent from the existing literature. Extending the theoretical perspective from the traditional views (e.g. resource-based theory) to configuration theory, the authors have developed a conceptual model of BDA success that aims to investigate how BDA capabilities interact with complementary organizational resources and organizational capabilities in multiple configuration solutions leading to higher quality of care in healthcare organizations. To test this model, the authors use fuzzy-set qualitative comparative analysis to analyse multi-source data acquired from a survey and databases maintained by the Centres for Medicare & Medicaid Services. The findings suggest that BDA, when given alone, is not sufficient in achieving the outcome, but is a synergy effect in which BDA capabilities and analytical personnel's skills together with organizational resources and capabilities as supportive role can improve average excess readmission rates and patient satisfaction in healthcare organizations.",
author = "Yichuan Wang and Kung, {Lee Ann} and Suraksha Gupta and Sena Ozdemir",
note = "This is the peer reviewed version of the following article: Wang, Y. , Kung, L. , Gupta, S. and Ozdemir, S. (2019), Leveraging Big Data Analytics to Improve Quality of Care in Healthcare Organizations: A Configurational Perspective. Brit J Manage, 30: 362-388. doi:10.1111/1467-8551.12332 which has been published in final form at https://onlinelibrary.wiley.com/doi/full/10.1111/1467-8551.12332 This article may be used for non-commercial purposes in accordance With Wiley Terms and Conditions for self-archiving.",
year = "2019",
month = apr,
day = "1",
doi = "10.1111/1467-8551.12332",
language = "English",
volume = "30",
pages = "362--388",
journal = "British Journal of Management",
issn = "1045-3172",
publisher = "Blackwell Publishing Ltd",
number = "2",

}

RIS

TY - JOUR

T1 - Leveraging Big Data Analytics to Improve Quality of Care in Healthcare Organizations

T2 - A Configurational Perspective

AU - Wang, Yichuan

AU - Kung, Lee Ann

AU - Gupta, Suraksha

AU - Ozdemir, Sena

N1 - This is the peer reviewed version of the following article: Wang, Y. , Kung, L. , Gupta, S. and Ozdemir, S. (2019), Leveraging Big Data Analytics to Improve Quality of Care in Healthcare Organizations: A Configurational Perspective. Brit J Manage, 30: 362-388. doi:10.1111/1467-8551.12332 which has been published in final form at https://onlinelibrary.wiley.com/doi/full/10.1111/1467-8551.12332 This article may be used for non-commercial purposes in accordance With Wiley Terms and Conditions for self-archiving.

PY - 2019/4/1

Y1 - 2019/4/1

N2 - Big data analytics (BDA) is beneficial for organizations, yet implementing BDA to leverage profitability is fundamental challenge confronting practitioners. Although prior research has explored the impact that BDA has on business growth, there is a lack of research that explains the full complexity of BDA implementations. Examination of how and under what conditions BDA achieves organizational performance from a holistic perspective is absent from the existing literature. Extending the theoretical perspective from the traditional views (e.g. resource-based theory) to configuration theory, the authors have developed a conceptual model of BDA success that aims to investigate how BDA capabilities interact with complementary organizational resources and organizational capabilities in multiple configuration solutions leading to higher quality of care in healthcare organizations. To test this model, the authors use fuzzy-set qualitative comparative analysis to analyse multi-source data acquired from a survey and databases maintained by the Centres for Medicare & Medicaid Services. The findings suggest that BDA, when given alone, is not sufficient in achieving the outcome, but is a synergy effect in which BDA capabilities and analytical personnel's skills together with organizational resources and capabilities as supportive role can improve average excess readmission rates and patient satisfaction in healthcare organizations.

AB - Big data analytics (BDA) is beneficial for organizations, yet implementing BDA to leverage profitability is fundamental challenge confronting practitioners. Although prior research has explored the impact that BDA has on business growth, there is a lack of research that explains the full complexity of BDA implementations. Examination of how and under what conditions BDA achieves organizational performance from a holistic perspective is absent from the existing literature. Extending the theoretical perspective from the traditional views (e.g. resource-based theory) to configuration theory, the authors have developed a conceptual model of BDA success that aims to investigate how BDA capabilities interact with complementary organizational resources and organizational capabilities in multiple configuration solutions leading to higher quality of care in healthcare organizations. To test this model, the authors use fuzzy-set qualitative comparative analysis to analyse multi-source data acquired from a survey and databases maintained by the Centres for Medicare & Medicaid Services. The findings suggest that BDA, when given alone, is not sufficient in achieving the outcome, but is a synergy effect in which BDA capabilities and analytical personnel's skills together with organizational resources and capabilities as supportive role can improve average excess readmission rates and patient satisfaction in healthcare organizations.

U2 - 10.1111/1467-8551.12332

DO - 10.1111/1467-8551.12332

M3 - Journal article

AN - SCOPUS:85065416221

VL - 30

SP - 362

EP - 388

JO - British Journal of Management

JF - British Journal of Management

SN - 1045-3172

IS - 2

ER -