IDEAS home Printed from https://ideas.repec.org/a/ers/journl/vxxvy2022ispecialap392-402.html
   My bibliography  Save this article

Influence of Individual Hospital Characteristics on Medicinal Products Replenishment Methods in a Hospital Pharmacy

Author

Listed:
  • Anna Gawronska
  • Adam Kolinski

Abstract

Purpose: The aim of this article is to present the results of the research, the subject of which was to determine the influence of individual hospital characteristics on medicinal products replenishment methods in a hospital pharmacy. Design/Methodology/Approach: In order to answer the stated research questions, a statistical analysis was carried out of the obtained research results on the digitalisation of logistics processes in the pharmacy industry. The hypotheses were verified using Spearman's correlation. Findings: Activities related to the digitization of in-hospital logistics processes can significantly contribute to the support of the treatment process, thanks to the use of appropriate solutions and tools contributing to the streamlining of selected activities performed by medical personnel. There are a number of features that differentiate healthcare entities, such as the size of the hospital, the level of reference, or the use of IT tools. Practical Implications: Hospitals play an important role in the health care system by providing medical services to citizens. The purpose of providing hospital services is primarily the implementation of the treatment process aimed at preserving, saving, restoring or improving the health of patients who use such services. Originality value: The present research, with the verification of hypotheses, was conducted for the first time in this area. The digitalisation of logistics processes in hospitals has not been verified by this research method to this point, in terms of business practice.

Suggested Citation

  • Anna Gawronska & Adam Kolinski, 2022. "Influence of Individual Hospital Characteristics on Medicinal Products Replenishment Methods in a Hospital Pharmacy," European Research Studies Journal, European Research Studies Journal, vol. 0(Special A), pages 392-402.
    • Handle: RePEc:ers:journl:v:xxv:y:2022:i:speciala:p:392-402
    as

    Download full text from publisher

    File URL: https://ersj.eu/journal/2976/download
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Engblom, Janne & Solakivi, Tomi & Töyli, Juuso & Ojala, Lauri, 2012. "Multiple-method analysis of logistics costs," International Journal of Production Economics, Elsevier, vol. 137(1), pages 29-35.
    2. Iannoni, Ana Paula & Morabito, Reinaldo, 2006. "A discrete simulation analysis of a logistics supply system," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 42(3), pages 191-210, May.
    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. Thomas Vempiliyath & Maitri Thakur & Vincent Hargaden, 2021. "Development of a Hybrid Simulation Framework for the Production Planning Process in the Atlantic Salmon Supply Chain," Agriculture, MDPI, vol. 11(10), pages 1-17, September.
    2. Sebastjan ŠKERLIČ & Robert MUHA, 2016. "Identifying Warehouse Location Using Hierarchical Clustering," Transport Problems, Silesian University of Technology, Faculty of Transport, vol. 11(3), pages 121-129, September.
    3. Eroglu, Cuneyt & Hofer, Christian & Hofer, Adriana Rossiter & Hou, Young, 2023. "“Cultural inventories”: How dimensions of national culture moderate the effect of demand unpredictability on firm-level inventories," International Journal of Production Economics, Elsevier, vol. 264(C).
    4. Chuleeporn Kusoncum & Kanchana Sethanan & Richard F. Hartl & Thitipong Jamrus, 2022. "Modified differential evolution and heuristic algorithms for dump tippler machine allocation in a typical sugar mill in Thailand," Operational Research, Springer, vol. 22(5), pages 5863-5895, November.
    5. Erik Hofmann & Juuso Töyli & Tomi Solakivi, 2022. "Working Capital Behavior of Firms during an Economic Downturn: An Analysis of the Financial Crisis Era," IJFS, MDPI, vol. 10(3), pages 1-20, July.
    6. Gamberini, Rita & Gebennini, Elisa & Manzini, Riccardo & Ziveri, Andrea, 2010. "On the integration of planning and environmental impact assessment for a WEEE transportation network—A case study," Resources, Conservation & Recycling, Elsevier, vol. 54(11), pages 937-951.
    7. Liang, Wen Yau & Huang, Chun-Che & Lin, Yin-Chen & Chang, Tsun Hsien & Shih, Meng Hao, 2013. "The multi-objective label correcting algorithm for supply chain modeling," International Journal of Production Economics, Elsevier, vol. 142(1), pages 172-178.
    8. Banomyong, Ruth & Grant, David B. & Varadejsatitwong, Paitoon & Julagasigorn, Puthipong, 2022. "Developing and validating a national logistics cost in Thailand," Transport Policy, Elsevier, vol. 124(C), pages 5-19.
    9. Higgins, Andrew & Thorburn, Peter & Archer, Ainsley & Jakku, Emma, 2007. "Opportunities for value chain research in sugar industries," Agricultural Systems, Elsevier, vol. 94(3), pages 611-621, June.
    10. Neungmatcha, Woraya, 2016. "Multi-objective particle swarm optimization for mechanical harvester route planning of sugarcane field operationsAuthor-Name: Sethanan, Kanchana," European Journal of Operational Research, Elsevier, vol. 252(3), pages 969-984.
    11. Ana Iannoni & Reinaldo Morabito & Cem Saydam, 2008. "A hypercube queueing model embedded into a genetic algorithm for ambulance deployment on highways," Annals of Operations Research, Springer, vol. 157(1), pages 207-224, January.
    12. Ponte, Borja & Puche, Julio & Rosillo, Rafael & de la Fuente, David, 2020. "The effects of quantity discounts on supply chain performance: Looking through the Bullwhip lens," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 143(C).
    13. Iannoni, Ana Paula & Morabito, Reinaldo & Saydam, Cem, 2009. "An optimization approach for ambulance location and the districting of the response segments on highways," European Journal of Operational Research, Elsevier, vol. 195(2), pages 528-542, June.
    14. Carman K.M. Lee & Shuzhu Zhang & Kam K.H. Ng, 2019. "In-Plant Logistics Simulation Model for the Catering Service Industry Towards Sustainable Development: A Case Study," Sustainability, MDPI, vol. 11(13), pages 1-11, July.
    15. Iannoni, Ana Paula & Chiyoshi, Fernando & Morabito, Reinaldo, 2015. "A spatially distributed queuing model considering dispatching policies with server reservation," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 75(C), pages 49-66.
    16. Rafael Paiva & Reinaldo Morabito, 2009. "An optimization model for the aggregate production planning of a Brazilian sugar and ethanol milling company," Annals of Operations Research, Springer, vol. 169(1), pages 117-130, July.
    17. Opasanon, Sathaporn & Kitthamkesorn, Songyot, 2016. "Border crossing design in light of the ASEAN Economic Community: Simulation based approach," Transport Policy, Elsevier, vol. 48(C), pages 1-12.
    18. Wetzel, Philipp & Hofmann, Erik, 2019. "Supply chain finance, financial constraints and corporate performance: An explorative network analysis and future research agenda," International Journal of Production Economics, Elsevier, vol. 216(C), pages 364-383.
    19. Wang Bo & Dmytro Bugayko & Maria Grigorak, 2018. "Assessment of the national economy through the application of logistics costs," Economic Thought journal, Bulgarian Academy of Sciences - Economic Research Institute, issue 3, pages 51-67,68-82.
    20. Borodin, Valeria & Bourtembourg, Jean & Hnaien, Faicel & Labadie, Nacima, 2016. "Handling uncertainty in agricultural supply chain management: A state of the art," European Journal of Operational Research, Elsevier, vol. 254(2), pages 348-359.

    More about this item

    Keywords

    Inventory replenishment; medicinal product management; hospital processes.;
    All these keywords.

    JEL classification:

    • L15 - Industrial Organization - - Market Structure, Firm Strategy, and Market Performance - - - Information and Product Quality
    • L86 - Industrial Organization - - Industry Studies: Services - - - Information and Internet Services; Computer Software
    • I15 - Health, Education, and Welfare - - Health - - - Health and Economic Development

    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:ers:journl:v:xxv:y:2022:i:speciala:p:392-402. 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: Marios Agiomavritis (email available below). General contact details of provider: https://ersj.eu/ .

    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.