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Response to Delamater’s Comment on “A Conceptual Framework for Quality Healthcare Accessibility: A Scalable Approach for Big Data Technologies”

Author

Listed:
  • Miloslava Plachkinova

    (University of Tampa)

  • Au Vo

    (San Francisco State University)

  • Brian Hilton

    (Claremont Graduate University)

  • Rahul Bhaskar

    (California State University, Fullerton)

Abstract

No abstract is available for this item.

Suggested Citation

  • Miloslava Plachkinova & Au Vo & Brian Hilton & Rahul Bhaskar, 2018. "Response to Delamater’s Comment on “A Conceptual Framework for Quality Healthcare Accessibility: A Scalable Approach for Big Data Technologies”," Information Systems Frontiers, Springer, vol. 20(2), pages 311-314, April.
    • Handle: RePEc:spr:infosf:v:20:y:2018:i:2:d:10.1007_s10796-018-9842-y
    DOI: 10.1007/s10796-018-9842-y
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    References listed on IDEAS

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    1. Hao Wu & Lingbo Liu & Yang Yu & Zhenghong Peng, 2018. "Evaluation and Planning of Urban Green Space Distribution Based on Mobile Phone Data and Two-Step Floating Catchment Area Method," Sustainability, MDPI, vol. 10(1), pages 1-11, January.
    2. Miloslava Plachkinova & Au Vo & Rahul Bhaskar & Brian Hilton, 2018. "A conceptual framework for quality healthcare accessibility: a scalable approach for big data technologies," Information Systems Frontiers, Springer, vol. 20(2), pages 289-302, April.
    3. Miloslava Plachkinova & Au Vo & Rahul Bhaskar & Brian Hilton, 0. "A conceptual framework for quality healthcare accessibility: a scalable approach for big data technologies," Information Systems Frontiers, Springer, vol. 0, pages 1-14.
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    Cited by:

    1. Gupta, Shivam & Modgil, Sachin & Bhatt, Priyanka C. & Chiappetta Jabbour, Charbel Jose & Kamble, Sachin, 2023. "Quantum computing led innovation for achieving a more sustainable Covid-19 healthcare industry," Technovation, Elsevier, vol. 120(C).

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