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A structured analysis of operations and supply chain management research in healthcare (1982–2011)

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  • Dobrzykowski, David
  • Saboori Deilami, Vafa
  • Hong, Paul
  • Kim, Seung-Chul

Abstract

As the operations management (OM) and supply chain management (SCM) field has evolved, a greater emphasis on services has emerged. The healthcare industry represents an important sector within services, however, little is known about the current state of research into healthcare OM and SCM. The purpose of this research is to conduct a structured analysis of OM and SCM studies conducted in healthcare and inform three key questions: (1) what are the primary topics or themes in the extant healthcare OM and SCM literature, (2) what are the prevalent methodological approaches employed in healthcare OM and SCM, and (3) what does the future of OM and SCM research in healthcare hold?

Suggested Citation

  • 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.
    • Handle: RePEc:eee:proeco:v:147:y:2014:i:pb:p:514-530
    DOI: 10.1016/j.ijpe.2013.04.055
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    11. Chen, Wanying (Amanda) & De Koster, René B.M. & Gong, Yeming, 2021. "Performance evaluation of automated medicine delivery systems," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 147(C).
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    13. Sharon J. Williams & Zoe Radnor, 2018. "Using bandwidths to visualize and improve patient pathways," Public Money & Management, Taylor & Francis Journals, vol. 38(1), pages 21-28, January.
    14. Falasca, Mauro & Kros, John F., 2018. "Success factors and performance outcomes of healthcare industrial vending systems: An empirical analysis," Technological Forecasting and Social Change, Elsevier, vol. 126(C), pages 41-52.
    15. 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.
    16. In, Joonhwan & Bradley, Randy V. & Bichescu, Bogdan C. & Smith, Antoinette L., 2019. "Breaking the chain: GPO changes and hospital supply cost efficiency," International Journal of Production Economics, Elsevier, vol. 218(C), pages 297-307.
    17. Yang, Yefei & Zhang, Xiaofei & Lee, Peter K.C., 2019. "Improving the effectiveness of online healthcare platforms: An empirical study with multi-period patient-doctor consultation data," International Journal of Production Economics, Elsevier, vol. 207(C), pages 70-80.
    18. Chen, Xu & Yang, Huan & Wang, Xiaojun, 2019. "Effects of price cap regulation on the pharmaceutical supply chain," Journal of Business Research, Elsevier, vol. 97(C), pages 281-290.
    19. Chen, Xu & Li, Shanshan & Wang, Xiaojun, 2020. "Evaluating the effects of quality regulations on the pharmaceutical supply chain," International Journal of Production Economics, Elsevier, vol. 230(C).
    20. M. M. Malik & S. Abdallah & M. Ala’raj, 2018. "Data mining and predictive analytics applications for the delivery of healthcare services: a systematic literature review," Annals of Operations Research, Springer, vol. 270(1), pages 287-312, November.
    21. Arantes, Amílcar & Alhais, Andreia Frias & Ferreira, Luis Miguel D.F., 2022. "Application of a purchasing portfolio model to define medicine purchasing strategies: An empirical study," Socio-Economic Planning Sciences, Elsevier, vol. 84(C).
    22. Stock, Gregory N. & McDermott, Christopher & Anand, Gopesh, 2016. "Average surgeon-level volume and hospital performance," International Journal of Production Economics, Elsevier, vol. 182(C), pages 253-262.
    23. Landry, Sylvain & Beaulieu, Martin & Roy, Jacques, 2016. "Strategy deployment in healthcare services: A case study approach," Technological Forecasting and Social Change, Elsevier, vol. 113(PB), pages 429-437.
    24. Alain Yee Loong Chong & Eugene Ch’ng & Martin J. Liu & Boying Li, 2017. "Predicting consumer product demands via Big Data: the roles of online promotional marketing and online reviews," International Journal of Production Research, Taylor & Francis Journals, vol. 55(17), pages 5142-5156, September.
    25. Fügener, Andreas & Pahr, Alexander & Brunner, Jens O., 2018. "Mid-term nurse rostering considering cross-training effects," International Journal of Production Economics, Elsevier, vol. 196(C), pages 176-187.

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