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A study on healthcare supply chain management efficiency: using bootstrap data envelopment analysis

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  • Changhee Kim

    (Incheon National University)

  • Hyun Jung Kim

    (Sunchon National University)

Abstract

The aims of this study are to analyze the efficiency of players comprising the healthcare supply chain comparatively, and to investigate the relationship between these different types of efficiency, eventually seeking the way to optimize a healthcare supply chain. To achieve the aims, the players comprising a healthcare supply chain are classified either into manufacturers, distributors, wholesalers and retailers based on industry, or into the healthcare system and the non-healthcare system based on the system. The subjects are medical institutions comprising a healthcare supply chain. They have been selected as “The Healthcare Supply Chain Top 25” by Gartner for 5 years in a row from 2012 to 2016. The bootstrap data envelopment analysis (DEA) and correlation analysis are used. The results are as follows. Players with relatively high competitive efficiency (wholesalers and retailers) can achieve high managerial efficiency even if they pay relatively less attention to supply chain efficiency while players with low competitive efficiency (manufacturers and distributors) should focus on supply chain efficiency to maintain managerial efficiency. In the healthcare system, no significant correlation was observed between managerial efficiency, supply chain efficiency and competitive efficiency. However, the analysis showed that there was a significant positive correlation between the managerial efficiency and the competitive efficiency in the non-healthcare system. This study expands the field of the healthcare supply chain management efficiency.

Suggested Citation

  • Changhee Kim & Hyun Jung Kim, 2019. "A study on healthcare supply chain management efficiency: using bootstrap data envelopment analysis," Health Care Management Science, Springer, vol. 22(3), pages 534-548, September.
    • Handle: RePEc:kap:hcarem:v:22:y:2019:i:3:d:10.1007_s10729-019-09471-7
    DOI: 10.1007/s10729-019-09471-7
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    1. O'Neill, Liam & Rauner, Marion & Heidenberger, Kurt & Kraus, Markus, 2008. "A cross-national comparison and taxonomy of DEA-based hospital efficiency studies," Socio-Economic Planning Sciences, Elsevier, vol. 42(3), pages 158-189, September.
    2. Dobrzykowski, David & Saboori Deilami, Vafa & Hong, Paul & Kim, Seung-Chul, 2014. "A structured analysis of operations and supply chain management research in healthcare (1982–2011)," International Journal of Production Economics, Elsevier, vol. 147(PB), pages 514-530.
    3. Xin, Jenny Y. & Yeung, Andy C.L. & Cheng, T.C.E., 2010. "First to market: Is technological innovation in new product development profitable in health care industries?," International Journal of Production Economics, Elsevier, vol. 127(1), pages 129-135, September.
    4. Brandenburg, Marcus, 2016. "Supply chain efficiency, value creation and the economic crisis – An empirical assessment of the European automotive industry 2002–2010," International Journal of Production Economics, Elsevier, vol. 171(P3), pages 321-335.
    5. Gary Ferrier & Julie Trivitt, 2013. "Incorporating quality into the measurement of hospital efficiency: a double DEA approach," Journal of Productivity Analysis, Springer, vol. 40(3), pages 337-355, December.
    6. Boussofiane, A. & Dyson, R. G. & Thanassoulis, E., 1991. "Applied data envelopment analysis," European Journal of Operational Research, Elsevier, vol. 52(1), pages 1-15, May.
    7. Nurul Fadly Habidin & Nurul Aifaa Shazali & Naimah Ali & Nur Afni Khaidir & Noor Hidayah Jamaludin, 2014. "Exploring lean healthcare practice and supply chain innovation for Malaysian healthcare industry," International Journal of Business Excellence, Inderscience Enterprises Ltd, vol. 7(3), pages 394-410.
    8. Charnes, A. & Cooper, W. W. & Rhodes, E., 1978. "Measuring the efficiency of decision making units," European Journal of Operational Research, Elsevier, vol. 2(6), pages 429-444, November.
    9. Daniel M. Walker, 2018. "Does participation in health information exchange improve hospital efficiency?," Health Care Management Science, Springer, vol. 21(3), pages 426-438, September.
    10. Léopold Simar & Paul W. Wilson, 1998. "Sensitivity Analysis of Efficiency Scores: How to Bootstrap in Nonparametric Frontier Models," Management Science, INFORMS, vol. 44(1), pages 49-61, January.
    11. Pacheco, R. R. & Fernandes, E., 2003. "Managerial efficiency of Brazilian airports," Transportation Research Part A: Policy and Practice, Elsevier, vol. 37(8), pages 667-680, October.
    12. Juan Du & Justin Wang & Yao Chen & Shin-Yi Chou & Joe Zhu, 2014. "Incorporating health outcomes in Pennsylvania hospital efficiency: an additive super-efficiency DEA approach," Annals of Operations Research, Springer, vol. 221(1), pages 161-172, October.
    13. Jan -Erik Vinnem, 2014. "Fatality Risk Assessment," Springer Series in Reliability Engineering, in: Offshore Risk Assessment vol 1, edition 3, chapter 0, pages 433-481, Springer.
    14. James Langabeer & Yasar Ozcan, 2009. "The economics of cancer care: longitudinal changes in provider efficiency," Health Care Management Science, Springer, vol. 12(2), pages 192-200, June.
    15. R. D. Banker & A. Charnes & W. W. Cooper, 1984. "Some Models for Estimating Technical and Scale Inefficiencies in Data Envelopment Analysis," Management Science, INFORMS, vol. 30(9), pages 1078-1092, September.
    16. Liang Liang & Feng Yang & Wade Cook & Joe Zhu, 2006. "DEA models for supply chain efficiency evaluation," Annals of Operations Research, Springer, vol. 145(1), pages 35-49, July.
    17. Dyson, R. G. & Allen, R. & Camanho, A. S. & Podinovski, V. V. & Sarrico, C. S. & Shale, E. A., 2001. "Pitfalls and protocols in DEA," European Journal of Operational Research, Elsevier, vol. 132(2), pages 245-259, July.
    18. Kwon, Ik-Whan G. & Kim, Sung-Ho & Martin, David G., 2016. "Healthcare supply chain management; strategic areas for quality and financial improvement," Technological Forecasting and Social Change, Elsevier, vol. 113(PB), pages 422-428.
    19. Yasar Ozcan, 1998. "Physician benchmarking: measuring variation in practice behavior in treatment of otitis media," Health Care Management Science, Springer, vol. 1(1), pages 5-17, September.
    20. Hacer Özgen Narcı & Yasar A. Ozcan & İsmet Şahin & Menderes Tarcan & Mustafa Narcı, 2015. "An examination of competition and efficiency for hospital industry in Turkey," Health Care Management Science, Springer, vol. 18(4), pages 407-418, December.
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    Cited by:

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    2. Javad Gerami & Reza Kiani Mavi & Reza Farzipoor Saen & Neda Kiani Mavi, 2023. "A novel network DEA-R model for evaluating hospital services supply chain performance," Annals of Operations Research, Springer, vol. 324(1), pages 1041-1066, May.
    3. Puertas, Rosa & Marti, Luisa & Guaita-Martinez, José M., 2020. "Innovation, lifestyle, policy and socioeconomic factors: An analysis of European quality of life," Technological Forecasting and Social Change, Elsevier, vol. 160(C).

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