IDEAS home Printed from https://ideas.repec.org/a/spr/qualqt/v47y2013i3p1445-1457.html
   My bibliography  Save this article

Factors affecting development of crisis management mechanisms in hospitals

Author

Listed:
  • Wen-Bao Lin

Abstract

The growing competition among hospitals has almost dissolved hospitals’ absolute dominance over the physician–patient relationship. Many existing systems or regulations governing public organizations are so rigid that outstanding physicians in public hospitals may easily depart or be head hunted by competitors. Therefore, there will be more and starker challenges ahead of public hospitals. Through collection and analysis of a large sample, we attempt to apply a unique data validation method—nonlinear fuzzy neural network model to investigate the research issue. The questionnaire was administered to chairmen or physicians taking administrative positions in Taiwan’s public hospitals. The empirical results are as follows: Uncertainty of the hospital business environment is positively correlated with development of crisis management mechanisms; Operation of crisis management mechanisms is positively correlated with establishment of a medical risk management system; Organizational culture in public hospitals is disadvantageous to operation of crisis management mechanisms. Copyright Springer Science+Business Media B.V. 2013

Suggested Citation

  • Wen-Bao Lin, 2013. "Factors affecting development of crisis management mechanisms in hospitals," Quality & Quantity: International Journal of Methodology, Springer, vol. 47(3), pages 1445-1457, April.
  • Handle: RePEc:spr:qualqt:v:47:y:2013:i:3:p:1445-1457
    DOI: 10.1007/s11135-011-9601-3
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1007/s11135-011-9601-3
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1007/s11135-011-9601-3?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. Hallikas, Jukka & Karvonen, Iris & Pulkkinen, Urho & Virolainen, Veli-Matti & Tuominen, Markku, 2004. "Risk management processes in supplier networks," International Journal of Production Economics, Elsevier, vol. 90(1), pages 47-58, July.
    2. repec:dau:papers:123456789/990 is not listed on IDEAS
    3. Meyers, A.R., 1987. "Public health and the law. 'Lumping it': The hidden denominator of the medical malpractice crisis," American Journal of Public Health, American Public Health Association, vol. 77(12), pages 1544-1548.
    4. Parhizgari, A. M. & Ronald Gilbert, G., 2004. "Measures of organizational effectiveness: private and public sector performance," Omega, Elsevier, vol. 32(3), pages 221-229, June.
    5. Mathias Szpirglas & Aurélien Acquier & Sébastien Gand, 2008. "From stakeholder to stakeSholder management in crisis episodes. A case study in a public transportation company," Post-Print halshs-00331865, HAL.
    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. Ling Jia & Queena K. Qian & Frits Meijer & Henk Visscher, 2020. "Stakeholders’ Risk Perception: A Perspective for Proactive Risk Management in Residential Building Energy Retrofits in China," Sustainability, MDPI, vol. 12(7), pages 1-25, April.
    2. Hesping, Frank Henrik & Schiele, Holger, 2016. "Matching tactical sourcing levers with the Kraljič matrix: Empirical evidence on purchasing portfolios," International Journal of Production Economics, Elsevier, vol. 177(C), pages 101-117.
    3. Qazi, Abroon & Dickson, Alex & Quigley, John & Gaudenzi, Barbara, 2018. "Supply chain risk network management: A Bayesian belief network and expected utility based approach for managing supply chain risks," International Journal of Production Economics, Elsevier, vol. 196(C), pages 24-42.
    4. Liu, Xuan & Hu, Ye & Xiao, Yan, 2017. "Risk management for rural energy industry of Sichuan Province in China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 69(C), pages 1029-1044.
    5. Vilko, Jyri P.P. & Hallikas, Jukka M., 2012. "Risk assessment in multimodal supply chains," International Journal of Production Economics, Elsevier, vol. 140(2), pages 586-595.
    6. Björn Häckel & Florian Hänsch & Michael Hertel & Jochen Übelhör, 2019. "Assessing IT availability risks in smart factory networks," Business Research, Springer;German Academic Association for Business Research, vol. 12(2), pages 523-558, December.
    7. Guertler, Benjamin & Spinler, Stefan, 2015. "When does operational risk cause supply chain enterprises to tip? A simulation of intra-organizational dynamics," Omega, Elsevier, vol. 57(PA), pages 54-69.
    8. Hatem Elleuch & Wafik Hachicha & Habib Chabchoub, 2014. "A combined approach for supply chain risk management: description and application to a real hospital pharmaceutical case study," Journal of Risk Research, Taylor & Francis Journals, vol. 17(5), pages 641-663, May.
    9. Anil Kumar Vishnubhotla & Rupesh Kumar Pati & Sidhartha S. Padhi, 2020. "Can Projects on Blockchain Reduce Risks in Supply Chain Management?: An Oil Company Case Study," IIM Kozhikode Society & Management Review, , vol. 9(2), pages 189-201, July.
    10. Chen, Jen-Yi & Baddam, Swathi R., 2015. "The effect of unethical behavior and learning on strategic supplier selection," International Journal of Production Economics, Elsevier, vol. 167(C), pages 74-87.
    11. Jittamai, Phongchai & Boonyanusith, Wijai, 2014. "Risk Assessment in Managing the Blood Supply Chain," Chapters from the Proceedings of the Hamburg International Conference of Logistics (HICL), in: Kersten, Wolfgang & Blecker, Thorsten & Ringle, Christian M. (ed.), Next Generation Supply Chains: Trends and Opportunities. Proceedings of the Hamburg International Conference of Logistics (HICL), Vol. 18, volume 18, pages 447-468, Hamburg University of Technology (TUHH), Institute of Business Logistics and General Management.
    12. Brillinger, Anne-Sophie & Els, Christian & Schäfer, Björn & Bender, Beate, 2020. "Business model risk and uncertainty factors: Toward building and maintaining profitable and sustainable business models," Business Horizons, Elsevier, vol. 63(1), pages 121-130.
    13. Wang, X. & Li, D. & O'brien, C. & Li, Y., 2010. "A production planning model to reduce risk and improve operations management," International Journal of Production Economics, Elsevier, vol. 124(2), pages 463-474, April.
    14. Gao, Tianjiao & Gupta, Aparna & Gulpinar, Nalan & Zhu, Yun, 2015. "Optimal hedging strategy for risk management on a network," Journal of Financial Stability, Elsevier, vol. 16(C), pages 31-44.
    15. Wagner, Stephan M. & Neshat, Nikrouz, 2010. "Assessing the vulnerability of supply chains using graph theory," International Journal of Production Economics, Elsevier, vol. 126(1), pages 121-129, July.
    16. Kayakutlu, Gulgun & Buyukozkan, Gulcin, 2011. "Assessing performance factors for a 3PL in a value chain," International Journal of Production Economics, Elsevier, vol. 131(2), pages 441-452, June.
    17. Anasse Amarouche & Philippe Chapellier & Alain George, 2018. "La gestion des risques dans une chaîne d’approvisionnement [La gestion des risques dans une chaine d'approvisionnement : Le cas de la filière d'approvisionnement en fruits et légumes d'une entrepri," Post-Print hal-02101506, HAL.
    18. Hartman, Paul & Ogden, Jeff & Jackson, Ross, 2020. "Contract duration: Barrier or bridge to successful public-private partnerships?," Technology in Society, Elsevier, vol. 63(C).
    19. Riqing Liao & Wei Liu & Yuandao Yuan, 2023. "Resilience Improvement and Risk Management of Multimodal Transport Logistics in the Post–COVID-19 Era: The Case of TIR-Based Sea–Road Multimodal Transport Logistics," Sustainability, MDPI, vol. 15(7), pages 1-21, March.
    20. Güller, Mustafa & Koc, Emre & Henke, Michael & Noche, Bernd & Hingst, Lennart, 2015. "A Simulation-based Analysis of Supply Chain Resilience," Chapters from the Proceedings of the Hamburg International Conference of Logistics (HICL), in: Kersten, Wolfgang & Blecker, Thorsten & Ringle, Christian M. (ed.), Innovations and Strategies for Logistics and Supply Chains: Technologies, Business Models and Risk Management. Proceedings of the Hamburg Internationa, volume 20, pages 533-556, Hamburg University of Technology (TUHH), Institute of Business Logistics and General Management.

    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:spr:qualqt:v:47:y:2013:i:3:p:1445-1457. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.