IDEAS home Printed from https://ideas.repec.org/a/eme/jamrpp/v11y2014i3p232-256.html
   My bibliography  Save this article

Development of Balanced Scorecard for healthcare using Interpretive Structural Modeling and Analytic Network Process

Author

Listed:
  • Kailash Meena
  • Jitesh Thakkar

Abstract

Purpose - – The purpose of this paper is to develop a Balanced Scorecard-based performance measurement framework for health care system. Design/methodology/approach - – An integrated ISM-ANP-based quantitative approach is used for the development of balance scorecard for health care system. The necessary insights are drawn from the secondary literature. Findings - – This research identifies Key Performance Indicators and their interrelationships for health care system. An integrated approach of ISM and ANP is employed for the development of balance scorecard. Research limitations/implications - – The findings of the research are based on insights gained from secondary literature and an analysis of five cases in health care segment and hence generalization of proposed framework is limited to the system representing some commonalities with chosen cases. Practical implications - – Health care is the diagnosis, treatment and prevention of disease, illness, injury and other physical and mental impairments in humans. Access to health care varies across countries, groups and individuals, largely influenced by social and economic conditions as well as the health policies in place. The changing nature of today's health care organizations, including pressure to reduce costs, improve the quality of care and meet stringent guidelines, has forced health care professionals to re-examine how they evaluate their performance. Originality/value - – The Balanced Scorecard health care expanded organization measures beyond financial analysis. It was first proposed by Robert S. Kaplan and David P. Norton in their book “The Balanced Scorecard (1996, Harvard Business School Press).” This research reports a development of Balanced Scorecard for health care using an integrated approach of Interpretive Structural Modeling and Analytic Network Process is used.

Suggested Citation

  • Kailash Meena & Jitesh Thakkar, 2014. "Development of Balanced Scorecard for healthcare using Interpretive Structural Modeling and Analytic Network Process," Journal of Advances in Management Research, Emerald Group Publishing Limited, vol. 11(3), pages 232-256, October.
  • Handle: RePEc:eme:jamrpp:v:11:y:2014:i:3:p:232-256
    DOI: 10.1108/JAMR-12-2012-0051
    as

    Download full text from publisher

    File URL: https://www.emerald.com/insight/content/doi/10.1108/JAMR-12-2012-0051/full/html?utm_source=repec&utm_medium=feed&utm_campaign=repec
    Download Restriction: Access to full text is restricted to subscribers

    File URL: https://www.emerald.com/insight/content/doi/10.1108/JAMR-12-2012-0051/full/pdf?utm_source=repec&utm_medium=feed&utm_campaign=repec
    Download Restriction: Access to full text is restricted to subscribers

    File URL: https://libkey.io/10.1108/JAMR-12-2012-0051?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.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Abhijeet Digalwar & Rakesh D. Raut & Vinay S. Yadav & Balkrishna Narkhede & Bhaskar B. Gardas & Ashwini Gotmare, 2020. "Evaluation of critical constructs for measurement of sustainable supply chain practices in lean‐agile firms of Indian origin: A hybrid ISM‐ANP approach," Business Strategy and the Environment, Wiley Blackwell, vol. 29(3), pages 1575-1596, March.
    2. Zaidi, Syed Anees Haider & Mirza, Faisal Mehmood & Hou, Fujun & Ashraf, Rana Umair, 2019. "Addressing the sustainable development through sustainable procurement: What factors resist the implementation of sustainable procurement in Pakistan?," Socio-Economic Planning Sciences, Elsevier, vol. 68(C).
    3. Varmazyar, Mohsen & Dehghanbaghi, Maryam & Afkhami, Mehdi, 2016. "A novel hybrid MCDM model for performance evaluation of research and technology organizations based on BSC approach," Evaluation and Program Planning, Elsevier, vol. 58(C), pages 125-140.
    4. A. Gözde Gözüm & : G. Pınar Acar, 2018. "İşletmelerin BIST-Sürdürülebilirlik Endeksi’nde Yer Alma DurumunaGöre Üst Kademe Teorisi Kapsamında Değerlendirilmesi," Istanbul Management Journal, Istanbul University Business School, vol. 29(84), pages 93-112, June.

    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:eme:jamrpp:v:11:y:2014:i:3:p:232-256. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: Emerald Support (email available below). General contact details of provider: .

    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.