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An Integrated Data Mining Framework for Organizational Resilience Assessment and Quality Management Optimization in Trauma Centers

Author

Listed:
  • Madjid Tavana

    (La Salle University
    University of Paderborn)

  • Salman Nazari-Shirkouhi

    (University of Tehran)

  • Amir Mashayekhi

    (University of Tehran)

  • Saeed Mousakhani

    (University of Tehran)

Abstract

Every second counts for patients with life-threatening injuries, and trauma centers deliver timely emergency care to patients with traumatic injuries. Quality assessment and improvement are some of the most fundamental concerns in trauma centers. In this study, a comprehensive organizational resilience approach is proposed to evaluate performance in trauma centers using the European Foundation for Quality Management as a fundamental and strategic approach. We propose a unique intelligent algorithm composed of parametric and non-parametric statistical methods to determine the type and the extent of influence within the organizational resilience and quality management perspectives. We use structural equation modeling to examine the reliability and validity of the input data. The efficiency of each trauma center is then measured using a machine learning method with genetic programming, support vector regression, and Gaussian process regression. The mean absolute percentage error is used to determine the optimal model, and a fuzzy data envelopment analysis model is used to verify and validate the results obtained from the optimal model. The results show that customer results, human capital results, and key performance results have the highest importance weights and positive influence on quality management. Cognitive resources, roles and responsibilities, and self-organization have the highest importance weights and positive influence on organizational resilience.

Suggested Citation

  • Madjid Tavana & Salman Nazari-Shirkouhi & Amir Mashayekhi & Saeed Mousakhani, 2022. "An Integrated Data Mining Framework for Organizational Resilience Assessment and Quality Management Optimization in Trauma Centers," SN Operations Research Forum, Springer, vol. 3(1), pages 1-33, March.
    • Handle: RePEc:spr:snopef:v:3:y:2022:i:1:d:10.1007_s43069-022-00132-0
    DOI: 10.1007/s43069-022-00132-0
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    References listed on IDEAS

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    1. Hatami-Marbini, Adel & Emrouznejad, Ali & Tavana, Madjid, 2011. "A taxonomy and review of the fuzzy data envelopment analysis literature: Two decades in the making," European Journal of Operational Research, Elsevier, vol. 214(3), pages 457-472, November.
    2. Mohamed Shenify & Amir Danesh & Milan Gocić & Ros Taher & Ainuddin Abdul Wahab & Abdullah Gani & Shahaboddin Shamshirband & Dalibor Petković, 2016. "Precipitation Estimation Using Support Vector Machine with Discrete Wavelet Transform," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 30(2), pages 641-652, January.
    3. Annarelli, Alessandro & Nonino, Fabio, 2016. "Strategic and operational management of organizational resilience: Current state of research and future directions," Omega, Elsevier, vol. 62(C), pages 1-18.
    4. Ketevan Glonti & Vladimir S Gordeev & Yevgeniy Goryakin & Aaron Reeves & David Stuckler & Martin McKee & Bayard Roberts, 2015. "A Systematic Review on Health Resilience to Economic Crises," PLOS ONE, Public Library of Science, vol. 10(4), pages 1-22, April.
    5. Lam, Jasmine Siu Lee & Bai, Xiwen, 2016. "A quality function deployment approach to improve maritime supply chain resilience," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 92(C), pages 16-27.
    6. A. Azadeh & S.F. Ghaderi & A. Vazifeh, 2007. "Integrated assessment of auto industries by principal component analysis," International Journal of Industrial and Systems Engineering, Inderscience Enterprises Ltd, vol. 2(3), pages 348-362.
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