IDEAS home Printed from https://ideas.repec.org/a/eee/jbrese/v70y2017icp287-299.html
   My bibliography  Save this article

Exploring the path to big data analytics success in healthcare

Author

Listed:
  • Wang, Yichuan
  • Hajli, Nick

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.

Suggested Citation

  • Wang, Yichuan & Hajli, Nick, 2017. "Exploring the path to big data analytics success in healthcare," Journal of Business Research, Elsevier, vol. 70(C), pages 287-299.
  • Handle: RePEc:eee:jbrese:v:70:y:2017:i:c:p:287-299
    DOI: 10.1016/j.jbusres.2016.08.002
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0148296316304891
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.jbusres.2016.08.002?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Xu, Zhenning & Frankwick, Gary L. & Ramirez, Edward, 2016. "Effects of big data analytics and traditional marketing analytics on new product success: A knowledge fusion perspective," Journal of Business Research, Elsevier, vol. 69(5), pages 1562-1566.
    2. Ward, Michael J. & Marsolo, Keith A. & Froehle, Craig M., 2014. "Applications of business analytics in healthcare," Business Horizons, Elsevier, vol. 57(5), pages 571-582.
    3. Ritu Agarwal & Guodong (Gordon) Gao & Catherine DesRoches & Ashish K. Jha, 2010. "Research Commentary ---The Digital Transformation of Healthcare: Current Status and the Road Ahead," Information Systems Research, INFORMS, vol. 21(4), pages 796-809, December.
    4. Fosso Wamba, Samuel & Akter, Shahriar & Edwards, Andrew & Chopin, Geoffrey & Gnanzou, Denis, 2015. "How ‘big data’ can make big impact: Findings from a systematic review and a longitudinal case study," International Journal of Production Economics, Elsevier, vol. 165(C), pages 234-246.
    5. Payam Sadeghi & Morad Benyoucef & Craig E. Kuziemsky, 2012. "A mashup based framework for multi level healthcare interoperability," Information Systems Frontiers, Springer, vol. 14(1), pages 57-72, March.
    6. Lin, Yini & Wu, Lei-Yu, 2014. "Exploring the role of dynamic capabilities in firm performance under the resource-based view framework," Journal of Business Research, Elsevier, vol. 67(3), pages 407-413.
    7. David J. Teece & Gary Pisano & Amy Shuen, 1997. "Dynamic capabilities and strategic management," Strategic Management Journal, Wiley Blackwell, vol. 18(7), pages 509-533, August.
    8. Nilesh Saraf & Christoph Schlueter Langdon & Sanjay Gosain, 2007. "IS Application Capabilities and Relational Value in Interfirm Partnerships," Information Systems Research, INFORMS, vol. 18(3), pages 320-339, September.
    9. Persson, Andreas & Ryals, Lynette, 2014. "Making customer relationship decisions: Analytics v rules of thumb," Journal of Business Research, Elsevier, vol. 67(8), pages 1725-1732.
    10. Indranil Bardhan & Jeong-ha (Cath) Oh & Zhiqiang (Eric) Zheng & Kirk Kirksey, 2015. "Predictive Analytics for Readmission of Patients with Congestive Heart Failure," Information Systems Research, INFORMS, vol. 26(1), pages 19-39, March.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Côrte-Real, Nadine & Oliveira, Tiago & Ruivo, Pedro, 2017. "Assessing business value of Big Data Analytics in European firms," Journal of Business Research, Elsevier, vol. 70(C), pages 379-390.
    2. Merendino, Alessandro & Dibb, Sally & Meadows, Maureen & Quinn, Lee & Wilson, David & Simkin, Lyndon & Canhoto, Ana, 2018. "Big data, big decisions: The impact of big data on board level decision-making," Journal of Business Research, Elsevier, vol. 93(C), pages 67-78.
    3. Ashrafi, Amir & Zare Ravasan, Ahad & Trkman, Peter & Afshari, Samira, 2019. "The role of business analytics capabilities in bolstering firms’ agility and performance," International Journal of Information Management, Elsevier, vol. 47(C), pages 1-15.
    4. Braganza, Ashley & Brooks, Laurence & Nepelski, Daniel & Ali, Maged & Moro, Russ, 2017. "Resource management in big data initiatives: Processes and dynamic capabilities," Journal of Business Research, Elsevier, vol. 70(C), pages 328-337.
    5. Patrick Mikalef & Ilias O. Pappas & John Krogstie & Michail Giannakos, 2018. "Big data analytics capabilities: a systematic literature review and research agenda," Information Systems and e-Business Management, Springer, vol. 16(3), pages 547-578, August.
    6. Zhang, Yucheng & Hou, Zhongwei & Yang, Feifei & Yang, Miles M. & Wang, Zhiling, 2021. "Discovering the evolution of resource-based theory: Science mapping based on bibliometric analysis," Journal of Business Research, Elsevier, vol. 137(C), pages 500-516.
    7. Glyptis, Loukas & Hadjielias, Elias & Christofi, Michael & Kvasova, Olga & Vrontis, Demetris, 2021. "Dynamic familiness capabilities and family business growth: A longitudinal perspective framed within management accounting," Journal of Business Research, Elsevier, vol. 127(C), pages 346-363.
    8. de Camargo Fiorini, Paula & Roman Pais Seles, Bruno Michel & Chiappetta Jabbour, Charbel Jose & Barberio Mariano, Enzo & de Sousa Jabbour, Ana Beatriz Lopes, 2018. "Management theory and big data literature: From a review to a research agenda," International Journal of Information Management, Elsevier, vol. 43(C), pages 112-129.
    9. Charlie Tchinda & Marcus Dejardin, 2021. "Are Business Policy Measures in Response to the COVID-19 Pandemic to Be Equally Valued? An Exploration According to SMEs Owners’ Business Expectations," Sustainability, MDPI, vol. 13(21), pages 1-42, October.
    10. Sun, Wenbin & Price, Joseph & Ding, Yuan, 2019. "The longitudinal effects of internationalization on firm performance: The moderating role of marketing capability," Journal of Business Research, Elsevier, vol. 95(C), pages 326-337.
    11. Chang, Kuo-Hsiung & Chen, Yung-ray & Huang, Hsu-Feng, 2015. "Information technology and partnership dynamic capabilities in international subcontracting relationships," International Business Review, Elsevier, vol. 24(2), pages 276-286.
    12. Muhammad Irfan & Mingzheng Wang & Naeem Akhtar, 2019. "Impact of IT capabilities on supply chain capabilities and organizational agility: a dynamic capability view," Operations Management Research, Springer, vol. 12(3), pages 113-128, December.
    13. Akhtar, Pervaiz & Khan, Zaheer & Tarba, Shlomo & Jayawickrama, Uchitha, 2018. "The Internet of Things, dynamic data and information processing capabilities, and operational agility," Technological Forecasting and Social Change, Elsevier, vol. 136(C), pages 307-316.
    14. Brewis, Claire & Dibb, Sally & Meadows, Maureen, 2023. "Leveraging big data for strategic marketing: A dynamic capabilities model for incumbent firms," Technological Forecasting and Social Change, Elsevier, vol. 190(C).
    15. Carl Åberg & Mariateresa Torchia, 2020. "Do boards of directors foster strategic change? A dynamic managerial capabilities perspective," Journal of Management & Governance, Springer;Accademia Italiana di Economia Aziendale (AIDEA), vol. 24(3), pages 655-684, September.
    16. Farzaneh, Mandana & Wilden, Ralf & Afshari, Leila & Mehralian, Gholamhossein, 2022. "Dynamic capabilities and innovation ambidexterity: The roles of intellectual capital and innovation orientation," Journal of Business Research, Elsevier, vol. 148(C), pages 47-59.
    17. Aleš Popovič & Ray Hackney & Rana Tassabehji & Mauro Castelli, 2018. "The impact of big data analytics on firms’ high value business performance," Information Systems Frontiers, Springer, vol. 20(2), pages 209-222, April.
    18. Hermano, Víctor & Martín-Cruz, Natalia, 2016. "The role of top management involvement in firms performing projects: A dynamic capabilities approach," Journal of Business Research, Elsevier, vol. 69(9), pages 3447-3458.
    19. Crick, James M. & Crick, Dave, 2021. "The dark-side of coopetition: Influences on the paradoxical forces of cooperativeness and competitiveness across product-market strategies," Journal of Business Research, Elsevier, vol. 122(C), pages 226-240.
    20. Loock, Moritz & Hinnen, Gieri, 2015. "Heuristics in organizations: A review and a research agenda," Journal of Business Research, Elsevier, vol. 68(9), pages 2027-2036.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:jbrese:v:70:y:2017:i:c:p:287-299. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/jbusres .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.