IDEAS home Printed from https://ideas.repec.org/a/spr/qualqt/v47y2013i3p1445-1457.html

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

    for a different version of it.

    References listed on IDEAS

    as
    1. repec:dau:papers:123456789/990 is not listed on IDEAS
    2. 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.
    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. 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.
    5. 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.
    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. Sara Al-Haidous & Tareq Al-Ansari, 2019. "Sustainable Liquefied Natural Gas Supply Chain Management: A Review of Quantitative Models," Sustainability, MDPI, vol. 12(1), pages 1-23, December.
    2. 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.
    3. 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.
    4. Mishra, Deepa & Sharma, R.R.K. & Kumar, Sameer & Dubey, Rameshwar, 2016. "Bridging and buffering: Strategies for mitigating supply risk and improving supply chain performance," International Journal of Production Economics, Elsevier, vol. 180(C), pages 183-197.
    5. 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.
    6. Zeng, Bingcong & Yen, Benjamin P.-C., 2017. "Rethinking the role of partnerships in global supply chains: A risk-based perspective," International Journal of Production Economics, Elsevier, vol. 185(C), pages 52-62.
    7. 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.
    8. Ualison Rébula De Oliveira & Gabriela Costa Dias & Vicente Aprigliano Fernandes, 2024. "Evaluation of a conceptual model of supply chain risk management to import/export process of an automotive industry: an action research approach," Operations Management Research, Springer, vol. 17(1), pages 201-219, March.
    9. Kengpol, Athakorn & Meethom, Warapoj & Tuominen, Markku, 2012. "The development of a decision support system in multimodal transportation routing within Greater Mekong sub-region countries," International Journal of Production Economics, Elsevier, vol. 140(2), pages 691-701.
    10. Michael Fruhwirth & Viktoria Pammer-Schindler & Stefan Thalmann, 2024. "Knowledge Leaks in Data-Driven Business Models? Exploring Different Types of Knowledge Risks and Protection Measures," Schmalenbach Journal of Business Research, Springer, vol. 76(3), pages 357-396, September.
    11. Liu, Xuan & Ye, Meng & Pu, Biao & Tang, Zhikang, 2012. "Risk management for jatropha curcas based biodiesel industry of Panzhihua Prefecture in Southwest China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 16(3), pages 1721-1734.
    12. Daniel Miehle & Björn Häckel & Stefan Pfosser & Jochen Übelhör, 2020. "Modeling IT Availability Risks in Smart Factories," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 62(4), pages 323-345, August.
    13. 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.
    14. Abdelkader Daghfous & Omar Belkhodja, 2019. "Managing Talent Loss in the Procurement Function: Insights from the Hospitality Industry," Sustainability, MDPI, vol. 11(23), pages 1-19, November.
    15. Anne-Sophie Brillinger, 2018. "Mapping Business Model Risk Factors," International Journal of Innovation Management (ijim), World Scientific Publishing Co. Pte. Ltd., vol. 22(05), pages 1-29, June.
    16. DonHee Lee, 2018. "The Effect of Safety Management and Sustainable Activities on Sustainable Performance: Focusing on Suppliers," Sustainability, MDPI, vol. 10(12), pages 1-16, December.
    17. 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.
    18. Schnetzler, Matthias J. & Sennheiser, Andreas & Schonsleben, Paul, 2007. "A decomposition-based approach for the development of a supply chain strategy," International Journal of Production Economics, Elsevier, vol. 105(1), pages 21-42, January.
    19. 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.
    20. Marcelo Bronzo & Marcelo Werneck Barbosa & Paulo Renato de Sousa & Noel Torres Junior & Marcos Paulo Valadares de Oliveira, 2024. "Leveraging Supply Chain Reaction Time: The Effects of Big Data Analytics Capabilities on Organizational Resilience Enhancement in the Auto-Parts Industry," Administrative Sciences, MDPI, vol. 14(8), pages 1-25, August.

    More about this item

    Keywords

    ;
    ;
    ;

    Statistics

    Access and download statistics

    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.