IDEAS home Printed from https://ideas.repec.org/a/spr/annopr/v315y2022i1d10.1007_s10479-022-04596-5.html
   My bibliography  Save this article

Mapping research on healthcare operations and supply chain management: a topic modelling-based literature review

Author

Listed:
  • Imran Ali

    (CQ University)

  • Devika Kannan

    (University of Southern Denmark)

Abstract

The literature on healthcare operations and supply chain management has seen unprecedented growth over the past two decades. This paper seeks to advance the body of knowledge on this topic by utilising a topic modelling-based literature review to identify the core topics, examine their dynamic changes, and identify opportunities for further research in the area. Based on an analysis of 571 articles published until 25 January 2022, we identify numerous popular topics of research in the area, including patient waiting time, COVID-19 pandemic, Industry 4.0 technologies, sustainability, risk and resilience, climate change, circular economy, humanitarian logistics, behavioural operations, service-ecosystem, and knowledge management. We reviewed current literature around each topic and offered insights into what aspects of each topic have been studied and what are the recent developments and opportunities for more impactful future research. Doing so, this review help advance the contemporary scholarship on healthcare operations and supply chain management and offers resonant insights for researchers, research students, journal editors, and policymakers in the field.

Suggested Citation

  • Imran Ali & Devika Kannan, 2022. "Mapping research on healthcare operations and supply chain management: a topic modelling-based literature review," Annals of Operations Research, Springer, vol. 315(1), pages 29-55, August.
  • Handle: RePEc:spr:annopr:v:315:y:2022:i:1:d:10.1007_s10479-022-04596-5
    DOI: 10.1007/s10479-022-04596-5
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s10479-022-04596-5
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    File URL: https://libkey.io/10.1007/s10479-022-04596-5?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. Guo, Yue & Barnes, Stuart J. & Jia, Qiong, 2017. "Mining meaning from online ratings and reviews: Tourist satisfaction analysis using latent dirichlet allocation," Tourism Management, Elsevier, vol. 59(C), pages 467-483.
    2. Galetsi, Panagiota & Katsaliaki, Korina & Kumar, Sameer, 2020. "Big data analytics in health sector: Theoretical framework, techniques and prospects," International Journal of Information Management, Elsevier, vol. 50(C), pages 206-216.
    3. Shiva Zandkarimkhani & Hassan Mina & Mehdi Biuki & Kannan Govindan, 2020. "A chance constrained fuzzy goal programming approach for perishable pharmaceutical supply chain network design," Annals of Operations Research, Springer, vol. 295(1), pages 425-452, December.
    4. Marilène Cherkesly & Marie‐Ève Rancourt & Karen R. Smilowitz, 2019. "Community Healthcare Network in Underserved Areas: Design, Mathematical Models, and Analysis," Production and Operations Management, Production and Operations Management Society, vol. 28(7), pages 1716-1734, July.
    5. Mohan Priya & Paulraj Ranjith Kumar, 2015. "A novel intelligent approach for predicting atherosclerotic individuals from big data for healthcare," International Journal of Production Research, Taylor & Francis Journals, vol. 53(24), pages 7517-7532, December.
    6. Ghaderi, Mohammad, 2022. "Public health interventions in the face of pandemics: Network structure, social distancing, and heterogeneity," European Journal of Operational Research, Elsevier, vol. 298(3), pages 1016-1031.
    7. Zhenghao Fan & Xiaolei Xie, 2022. "A distributionally robust optimisation for COVID-19 testing facility territory design and capacity planning," International Journal of Production Research, Taylor & Francis Journals, vol. 60(13), pages 4229-4252, July.
    8. Reza Mahjoub & Fredrik Odegaard & Gregory S Zaric, 2014. "Health-based pharmaceutical pay-for-performance risk-sharing agreements," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 65(4), pages 588-604, April.
    9. Shehadeh, Karmel S. & Cohn, Amy E.M. & Epelman, Marina A., 2019. "Analysis of models for the Stochastic Outpatient Procedure Scheduling Problem," European Journal of Operational Research, Elsevier, vol. 279(3), pages 721-731.
    10. Gonul Kochan, Cigdem & Nowicki, David R. & Sauser, Brian & Randall, Wesley S., 2018. "Impact of cloud-based information sharing on hospital supply chain performance: A system dynamics framework," International Journal of Production Economics, Elsevier, vol. 195(C), pages 168-185.
    11. 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.
    12. Rahimian, Hamed & Bayraksan, Güzin & Homem-de-Mello, Tito, 2019. "Controlling risk and demand ambiguity in newsvendor models," European Journal of Operational Research, Elsevier, vol. 279(3), pages 854-868.
    13. Daniel D. Lee & H. Sebastian Seung, 1999. "Learning the parts of objects by non-negative matrix factorization," Nature, Nature, vol. 401(6755), pages 788-791, October.
    14. Salarpour, Mojtaba & Nagurney, Anna, 2021. "A multicountry, multicommodity stochastic game theory network model of competition for medical supplies inspired by the Covid-19 pandemic," International Journal of Production Economics, Elsevier, vol. 236(C).
    15. Gagnon, Marie-Pierre & Simonyan, David & Ghandour, El Kebir & Godin, Gaston & Labrecque, Michel & Ouimet, Mathieu & Rousseau, Michel, 2016. "Factors influencing electronic health record adoption by physicians: A multilevel analysis," International Journal of Information Management, Elsevier, vol. 36(3), pages 258-270.
    16. Yan, Erjia, 2014. "Research dynamics: Measuring the continuity and popularity of research topics," Journal of Informetrics, Elsevier, vol. 8(1), pages 98-110.
    17. Ali, Omar & Shrestha, Anup & Soar, Jeffrey & Wamba, Samuel Fosso, 2018. "Cloud computing-enabled healthcare opportunities, issues, and applications: A systematic review," International Journal of Information Management, Elsevier, vol. 43(C), pages 146-158.
    18. Peter VanBerkel & John Blake, 2007. "A comprehensive simulation for wait time reduction and capacity planning applied in general surgery," Health Care Management Science, Springer, vol. 10(4), pages 373-385, December.
    19. Saedi, Samira & Kundakcioglu, O. Erhun & Henry, Andrea C., 2016. "Mitigating the impact of drug shortages for a healthcare facility: An inventory management approach," European Journal of Operational Research, Elsevier, vol. 251(1), pages 107-123.
    20. Francesca De Battisti & Alfio Ferrara & Silvia Salini, 2015. "A decade of research in statistics: a topic model approach," Scientometrics, Springer;Akadémiai Kiadó, vol. 103(2), pages 413-433, May.
    21. Emmanouil Avgerinos & Bilal Gokpinar, 2017. "Team Familiarity and Productivity in Cardiac Surgery Operations: The Effect of Dispersion, Bottlenecks, and Task Complexity," Manufacturing & Service Operations Management, INFORMS, vol. 19(1), pages 19-35, February.
    22. Sultan, Nabil, 2014. "Making use of cloud computing for healthcare provision: Opportunities and challenges," International Journal of Information Management, Elsevier, vol. 34(2), pages 177-184.
    23. Chae, Bongsug (Kevin), 2015. "Insights from hashtag #supplychain and Twitter Analytics: Considering Twitter and Twitter data for supply chain practice and research," International Journal of Production Economics, Elsevier, vol. 165(C), pages 247-259.
    24. Diwas Singh KC & Stefan Scholtes & Christian Terwiesch, 2020. "Empirical Research in Healthcare Operations: Past Research, Present Understanding, and Future Opportunities," Manufacturing & Service Operations Management, INFORMS, vol. 22(1), pages 73-83, January.
    25. Al-Sharhan, Salah & Omran, Esraa & Lari, Kamran, 2019. "An integrated holistic model for an eHealth system: A national implementation approach and a new cloud-based security model," International Journal of Information Management, Elsevier, vol. 47(C), pages 121-130.
    26. Chae, Bongsug (Kevin), 2019. "A General framework for studying the evolution of the digital innovation ecosystem: The case of big data," International Journal of Information Management, Elsevier, vol. 45(C), pages 83-94.
    27. Moons, Karen & Waeyenbergh, Geert & Pintelon, Liliane, 2019. "Measuring the logistics performance of internal hospital supply chains – A literature study," Omega, Elsevier, vol. 82(C), pages 205-217.
    28. Volland, Jonas & Fügener, Andreas & Schoenfelder, Jan & Brunner, Jens O., 2017. "Material logistics in hospitals: A literature review," Omega, Elsevier, vol. 69(C), pages 82-101.
    29. A. Ben Oumlil & Alvin J. Williams, 2011. "Strategic alliances and organisational buying: an empirical study of the healthcare industry," International Journal of Procurement Management, Inderscience Enterprises Ltd, vol. 4(6), pages 610-626.
    30. Kazim Topuz & Hasmet Uner & Asil Oztekin & Mehmet Bayram Yildirim, 2018. "Predicting pediatric clinic no-shows: a decision analytic framework using elastic net and Bayesian belief network," Annals of Operations Research, Springer, vol. 263(1), pages 479-499, April.
    31. Yee-Loong Chong, Alain & Liu, Martin J. & Luo, Jun & Keng-Boon, Ooi, 2015. "Predicting RFID adoption in healthcare supply chain from the perspectives of users," International Journal of Production Economics, Elsevier, vol. 159(C), pages 66-75.
    32. Zelda B. Zabinsky & Pattamon Dulyakupt & Shabnam Zangeneh-Khamooshi & Cao Xiao & Pengbo Zhang & Seksan Kiatsupaibul & Joseph A. Heim, 2020. "Optimal collection of medical specimens and delivery to central laboratory," Annals of Operations Research, Springer, vol. 287(1), pages 537-564, April.
    33. Grün, Bettina & Hornik, Kurt, 2011. "topicmodels: An R Package for Fitting Topic Models," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 40(i13).
    34. Margaret E. Roberts & Brandon M. Stewart & Dustin Tingley & Christopher Lucas & Jetson Leder‐Luis & Shana Kushner Gadarian & Bethany Albertson & David G. Rand, 2014. "Structural Topic Models for Open‐Ended Survey Responses," American Journal of Political Science, John Wiley & Sons, vol. 58(4), pages 1064-1082, October.
    35. Nagurney, Anna, 2021. "Supply chain game theory network modeling under labor constraints: Applications to the Covid-19 pandemic," European Journal of Operational Research, Elsevier, vol. 293(3), pages 880-891.
    36. Brailsford, S.C. & Harper, P.R. & Sykes, J., 2012. "Incorporating human behaviour in simulation models of screening for breast cancer," European Journal of Operational Research, Elsevier, vol. 219(3), pages 491-507.
    37. Thorsen, Andreas & McGarvey, Ronald G., 2018. "Efficient frontiers in a frontier state: Viability of mobile dentistry services in rural areas," European Journal of Operational Research, Elsevier, vol. 268(3), pages 1062-1076.
    38. Michael Naor & Asoke Dey & Susan Meyer Goldstein & Yitzhak Rosen, 2018. "Civilian-military pooling of health care resources in Haiti: a theory of complementarities perspective," International Journal of Production Research, Taylor & Francis Journals, vol. 56(21), pages 6741-6757, November.
    39. Nudurupati, Sai Sudhakar & Bhattacharya, Arijit & Lascelles, David & Caton, Nicholas, 2015. "Strategic sourcing with multi-stakeholders through value co-creation: An evidence from global health care company," International Journal of Production Economics, Elsevier, vol. 166(C), pages 248-257.
    40. Abo-Hamad, Waleed & Arisha, Amr, 2013. "Simulation-based framework to improve patient experience in an emergency department," European Journal of Operational Research, Elsevier, vol. 224(1), pages 154-166.
    41. Sameer Prasad & R.P. Sundarraj & Jasmine Tata & Nezih Altay, 2018. "Action-research-based optimisation model for health care behaviour change in rural India," International Journal of Production Research, Taylor & Francis Journals, vol. 56(21), pages 6774-6792, November.
    42. Justin Jia & Hui Zhao, 2017. "Mitigating the U.S. Drug Shortages Through Pareto-Improving Contracts," Production and Operations Management, Production and Operations Management Society, vol. 26(8), pages 1463-1480, August.
    43. Zhang, Yu & Wang, Yu & Tang, Jiafu & Lim, Andrew, 2020. "Mitigating overtime risk in tactical surgical scheduling," Omega, Elsevier, vol. 93(C).
    44. Emmanouil Avgerinos & Bilal Gokpinar, 2017. "Team Familiarity and Productivity in Cardiac Surgery Operations: The Effect of Dispersion, Bottlenecks, and Task Complexity," Manufacturing & Service Operations Management, INFORMS, vol. 19(1), pages 19-35, February.
    45. Hakyeon Lee & Pilsung Kang, 2018. "Identifying core topics in technology and innovation management studies: a topic model approach," The Journal of Technology Transfer, Springer, vol. 43(5), pages 1291-1317, October.
    46. Pan, Xingwei & Geng, Na & Xie, Xiaolan, 2021. "Appointment scheduling and real-time sequencing strategies for patient unpunctuality," European Journal of Operational Research, Elsevier, vol. 295(1), pages 246-260.
    47. Govindan, Kannan & Mina, Hassan & Alavi, Behrouz, 2020. "A decision support system for demand management in healthcare supply chains considering the epidemic outbreaks: A case study of coronavirus disease 2019 (COVID-19)," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 138(C).
    48. Scott Deerwester & Susan T. Dumais & George W. Furnas & Thomas K. Landauer & Richard Harshman, 1990. "Indexing by latent semantic analysis," Journal of the American Society for Information Science, Association for Information Science & Technology, vol. 41(6), pages 391-407, September.
    49. Pinar Keskinocak & Nicos Savva, 2020. "A Review of the Healthcare-Management (Modeling) Literature Published in Manufacturing & Service Operations Management," Manufacturing & Service Operations Management, INFORMS, vol. 22(1), pages 59-72, January.
    50. Wanlu Gu & Neng Fan & Haitao Liao, 2019. "Evaluating readmission rates and discharge planning by analyzing the length-of-stay of patients," Annals of Operations Research, Springer, vol. 276(1), pages 89-108, May.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Nishant Saravanan & Jessica Olivares-Aguila & Alejandro Vital-Soto, 2022. "Bibliometric and Text Analytics Approaches to Review COVID-19 Impacts on Supply Chains," Sustainability, MDPI, vol. 14(23), pages 1-33, November.
    2. Kaushal Kumar, 2022. "A public‐private partnership based model for regulating out‐of‐pocket expenditures to strengthen primary care system," International Journal of Health Planning and Management, Wiley Blackwell, vol. 37(5), pages 2964-2991, September.
    3. Nam Yi Yun & M. Ali Ülkü, 2023. "Sustainable Supply Chain Risk Management in a Climate-Changed World: Review of Extant Literature, Trend Analysis, and Guiding Framework for Future Research," Sustainability, MDPI, vol. 15(17), pages 1-32, September.
    4. Mohammad Heydari & Kin Keung Lai & Yanan Fan & Xiaoyang Li, 2022. "A Review of Emergency and Disaster Management in the Process of Healthcare Operation Management for Improving Hospital Surgical Intake Capacity," Mathematics, MDPI, vol. 10(15), pages 1-34, August.

    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. Han, Yilong & Li, Yinbo & Li, Yongkui & Yang, Bin & Cao, Lingyan, 2023. "Digital twinning for smart hospital operations: Framework and proof of concept," Technology in Society, Elsevier, vol. 74(C).
    2. Hakyeon Lee & Hanbin Seo & Youngjung Geum, 2018. "Uncovering the Topic Landscape of Product-Service System Research: from Sustainability to Value Creation," Sustainability, MDPI, vol. 10(4), pages 1-15, March.
    3. Savin, Ivan & Ott, Ingrid & Konop, Chris, 2022. "Tracing the evolution of service robotics: Insights from a topic modeling approach," Technological Forecasting and Social Change, Elsevier, vol. 174(C).
    4. Milad Mohammadi & Alibakhsh Nikzad, 2023. "Sustainable and reliable closed-loop supply chain network design during pandemic outbreaks and disruptions," Operations Management Research, Springer, vol. 16(2), pages 969-991, June.
    5. Yu Wang & Yu Zhang & Minglong Zhou & Jiafu Tang, 2023. "Feature‐driven robust surgery scheduling," Production and Operations Management, Production and Operations Management Society, vol. 32(6), pages 1921-1938, June.
    6. Triss Ashton & Nicholas Evangelopoulos & Victor Prybutok, 2014. "Extending monitoring methods to textual data: a research agenda," Quality & Quantity: International Journal of Methodology, Springer, vol. 48(4), pages 2277-2294, July.
    7. Hakyeon Lee & Pilsung Kang, 2018. "Identifying core topics in technology and innovation management studies: a topic model approach," The Journal of Technology Transfer, Springer, vol. 43(5), pages 1291-1317, October.
    8. Shaker Ardakani, Elham & Gilani Larimi, Niloofar & Oveysi Nejad, Maryam & Madani Hosseini, Mahsa & Zargoush, Manaf, 2023. "A resilient, robust transformation of healthcare systems to cope with COVID-19 through alternative resources," Omega, Elsevier, vol. 114(C).
    9. Sandra Wankmüller, 2023. "A comparison of approaches for imbalanced classification problems in the context of retrieving relevant documents for an analysis," Journal of Computational Social Science, Springer, vol. 6(1), pages 91-163, April.
    10. Maksym Polyakov & Morteza Chalak & Md. Sayed Iftekhar & Ram Pandit & Sorada Tapsuwan & Fan Zhang & Chunbo Ma, 2018. "Authorship, Collaboration, Topics, and Research Gaps in Environmental and Resource Economics 1991–2015," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 71(1), pages 217-239, September.
    11. Chae, Bongsug (Kevin), 2018. "The Internet of Things (IoT): A Survey of Topics and Trends using Twitter Data and Topic Modeling," 22nd ITS Biennial Conference, Seoul 2018. Beyond the boundaries: Challenges for business, policy and society 190376, International Telecommunications Society (ITS).
    12. Ortiz-Barrios, Miguel & Arias-Fonseca, Sebastián & Ishizaka, Alessio & Barbati, Maria & Avendaño-Collante, Betty & Navarro-Jiménez, Eduardo, 2023. "Artificial intelligence and discrete-event simulation for capacity management of intensive care units during the Covid-19 pandemic: A case study," Journal of Business Research, Elsevier, vol. 160(C).
    13. Rozhkov, Maxim & Ivanov, Dmitry & Blackhurst, Jennifer & Nair, Anand, 2022. "Adapting supply chain operations in anticipation of and during the COVID-19 pandemic," Omega, Elsevier, vol. 110(C).
    14. Ping Zhang & Hong Yan & King Wah Pang, 2019. "Inventory Sharing Strategy for Disposable Medical Items between Two Hospitals," Sustainability, MDPI, vol. 11(22), pages 1-21, November.
    15. Rana Azghandi & Jacqueline Griffin & Mohammad S. Jalali, 2018. "Minimization of Drug Shortages in Pharmaceutical Supply Chains: A Simulation-Based Analysis of Drug Recall Patterns and Inventory Policies," Complexity, Hindawi, vol. 2018, pages 1-14, December.
    16. Shr-Wei Kao & Pin Luarn, 2020. "Topic Modeling Analysis of Social Enterprises: Twitter Evidence," Sustainability, MDPI, vol. 12(8), pages 1-20, April.
    17. Anna Nagurney, 2022. "Supply chain networks, wages, and labor productivity: insights from Lagrange. analysis and computations," Journal of Global Optimization, Springer, vol. 83(3), pages 615-638, July.
    18. Castro, Catarina & Pereira, Teresa & Sá, J.C. & Santos, Gilberto, 2020. "Logistics reorganization and management of the ambulatory pharmacy of a local health unit in Portugal," Evaluation and Program Planning, Elsevier, vol. 80(C).
    19. Jónas Oddur Jónasson & Kamalini Ramdas & Alp Sungu, 2022. "Social impact operations at the global base of the pyramid," Production and Operations Management, Production and Operations Management Society, vol. 31(12), pages 4364-4378, December.
    20. Lüdering Jochen & Winker Peter, 2016. "Forward or Backward Looking? The Economic Discourse and the Observed Reality," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 236(4), pages 483-515, August.

    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:annopr:v:315:y:2022:i:1:d:10.1007_s10479-022-04596-5. 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.