IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v15y2023i4p3163-d1062916.html
   My bibliography  Save this article

Digitalization of the Healthcare Supply Chain through the Adoption of Enterprise Resource Planning (ERP) Systems in Hospitals: An Empirical Study on Influencing Factors and Cost Performance

Author

Listed:
  • Christos Bialas

    (Department of Industrial Engineering and Management, International Hellenic University, 57400 Thessaloniki, Greece)

  • Dimitrios Bechtsis

    (Department of Industrial Engineering and Management, International Hellenic University, 57400 Thessaloniki, Greece)

  • Eirini Aivazidou

    (Department of Industrial Engineering and Management, International Hellenic University, 57400 Thessaloniki, Greece)

  • Charisios Achillas

    (Department of Supply Chain Management, International Hellenic University, 57400 Thessaloniki, Greece)

  • Dimitrios Aidonis

    (Department of Supply Chain Management, International Hellenic University, 57400 Thessaloniki, Greece)

Abstract

Rising healthcare costs force healthcare organizations worldwide to reconsider their business strategies. Hospital managers are tasked with lowering operating costs while upholding the high quality of care, two goals perceived as contradictory by many healthcare professionals. Attempting to contribute towards reaching these goals, the study explores the digitalization of the healthcare supply chain through the adoption of enterprise resource planning (ERP) systems and its impact on hospital supply chain costs. Established technology adoption theories are synthesized to develop a research model that investigates the adoption of hospital ERP systems and its impact on supply chain cost performance. The framework is validated via structural equation modeling (SEM) with data collected from 107 Greek public hospitals. The results indicate that technological and organizational readiness, hospital size, governmental policies, and perceived benefits have a significant influence on the extent of ERP systems adoption. They also demonstrate a statistically significant association between the use of ERP systems and hospital supply chain costs. The present study highlights the influencing factors of ERP systems adoption in hospitals and provides empirical evidence on the resulting cost benefits., This implies greater urgency for hospitals to digitalize their supply chain by implementing and fully exploiting the ERP systems’ functionality in order to reach their goal of delivering quality care at a lower cost.

Suggested Citation

  • Christos Bialas & Dimitrios Bechtsis & Eirini Aivazidou & Charisios Achillas & Dimitrios Aidonis, 2023. "Digitalization of the Healthcare Supply Chain through the Adoption of Enterprise Resource Planning (ERP) Systems in Hospitals: An Empirical Study on Influencing Factors and Cost Performance," Sustainability, MDPI, vol. 15(4), pages 1-11, February.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:4:p:3163-:d:1062916
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/15/4/3163/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/15/4/3163/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Panagiotis Mitropoulos & Ioannis Mitropoulos & Aris Sissouras, 2013. "Managing for efficiency in health care: the case of Greek public hospitals," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 14(6), pages 929-938, December.
    2. Zhang Zhen & Zahid Yousaf & Magdalena Radulescu & Muhammad Yasir, 2021. "Nexus of Digital Organizational Culture, Capabilities, Organizational Readiness, and Innovation: Investigation of SMEs Operating in the Digital Economy," Sustainability, MDPI, vol. 13(2), pages 1-15, January.
    3. Beaulieu, Martin & Bentahar, Omar, 2021. "Digitalization of the healthcare supply chain: A roadmap to generate benefits and effectively support healthcare delivery," Technological Forecasting and Social Change, Elsevier, vol. 167(C).
    4. Placide Poba-Nzaou & Sylvestre Uwizeyemungu & Louis Raymond & Guy Paré, 2014. "Motivations underlying the adoption of ERP systems in healthcare organizations: Insights from online stories," Information Systems Frontiers, Springer, vol. 16(4), pages 591-605, September.
    5. Kevin Zhu & Kenneth L. Kraemer & Sean Xu, 2006. "The Process of Innovation Assimilation by Firms in Different Countries: A Technology Diffusion Perspective on E-Business," Management Science, INFORMS, vol. 52(10), pages 1557-1576, October.
    6. Martin Beaulieu & Omar Bentahar, 2021. "Digitalization of the healthcare supply chain: A roadmap to generate benefits and effectively support healthcare delivery," Post-Print hal-03208957, HAL.
    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. Barna Laura-Eugenia-Lavinia & Ionescu Bogdan-Ștefan, 2023. "ERP Systems as a Part of Business Digitalization Systems as a Part of Business Digitalization," Proceedings of the International Conference on Business Excellence, Sciendo, vol. 17(1), pages 1897-1908, July.

    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. Christos Bialas & Dimitrios Bechtsis & Eirini Aivazidou & Charisios Achillas & Dimitrios Aidonis, 2023. "A Holistic View on the Adoption and Cost-Effectiveness of Technology-Driven Supply Chain Management Practices in Healthcare," Sustainability, MDPI, vol. 15(6), pages 1-22, March.
    2. Alla Mostepaniuk & Turgay Akalin & Mohammad Reza Parish, 2023. "Practices Pursuing the Sustainability of A Healthcare Organization: A Systematic Review," Sustainability, MDPI, vol. 15(3), pages 1-21, January.
    3. Azadi, Majid & Yousefi, Saeed & Farzipoor Saen, Reza & Shabanpour, Hadi & Jabeen, Fauzia, 2023. "Forecasting sustainability of healthcare supply chains using deep learning and network data envelopment analysis," Journal of Business Research, Elsevier, vol. 154(C).
    4. Michael Sony & Jiju Antony & Guilherme L. Tortorella, 2023. "Critical Success Factors for Successful Implementation of Healthcare 4.0: A Literature Review and Future Research Agenda," IJERPH, MDPI, vol. 20(5), pages 1-22, March.
    5. Benzidia, Smaïl & Makaoui, Naouel & Subramanian, Nachiappan, 2021. "Impact of ambidexterity of blockchain technology and social factors on new product development: A supply chain and Industry 4.0 perspective," Technological Forecasting and Social Change, Elsevier, vol. 169(C).
    6. Ming-Lang Tseng & Tat-Dat Bui & Ming K. Lim & Stephen Lewi, 2021. "A Cause and Effect Model for Digital Sustainable Supply Chain Competitiveness under Uncertainties: Enhancing Digital Platform," Sustainability, MDPI, vol. 13(18), pages 1-19, September.
    7. Furstenau, Leonardo Bertolin & Zani, Carolina & Terra, Stela Xavier & Sott, Michele Kremer & Choo, Kim-Kwang Raymond & Saurin, Tarcisio Abreu, 2022. "Resilience capabilities of healthcare supply chain and supportive digital technologies," Technology in Society, Elsevier, vol. 71(C).
    8. Kumar, Anil & Naz, Farheen & Luthra, Sunil & Vashistha, Rajat & Kumar, Vikas & Garza-Reyes, Jose Arturo & Chhabra, Deepak, 2023. "Digging DEEP: Futuristic building blocks of omni-channel healthcare supply chains resiliency using machine learning approach," Journal of Business Research, Elsevier, vol. 162(C).
    9. Antonio Fusco & Graziana Galeone & Federico Schimperna & Rosa Lombardi, 2021. "The impact of Gender diversity on Healthcare System and Leadership: A first SLR for the future research," MECOSAN, FrancoAngeli Editore, vol. 0(120), pages 7-19.
    10. Anja Burmann & Burkhard Fischer & Nico Brinkkötter & Sven Meister, 2022. "Managing Directors’ Perspectives on Digital Maturity in German Hospitals—A Multi-Point Online-Based Survey Study," IJERPH, MDPI, vol. 19(15), pages 1-18, August.
    11. Saoussane Srhir & Anicia Jaegler & Jairo R. Montoya‐Torres, 2023. "Uncovering Industry 4.0 technology attributes in sustainable supply chain 4.0: A systematic literature review," Business Strategy and the Environment, Wiley Blackwell, vol. 32(7), pages 4143-4166, November.
    12. Tiwari, Sunil & Sharma, Pankaj & Jha, Ashish Kumar, 2024. "Digitalization & Covid-19: An institutional-contingency theoretic analysis of supply chain digitalization," International Journal of Production Economics, Elsevier, vol. 267(C).
    13. Abbas, Hasnain & Zhao, Lindu & Gong, Xi & Faiz, Narmeen, 2023. "The perishable products case to achieve sustainable food quality and safety goals implementing on-field sustainable supply chain model," Socio-Economic Planning Sciences, Elsevier, vol. 87(PA).
    14. Angelos I. Stoumpos & Fotis Kitsios & Michael A. Talias, 2023. "Digital Transformation in Healthcare: Technology Acceptance and Its Applications," IJERPH, MDPI, vol. 20(4), pages 1-44, February.
    15. Gillani, Fatima & Chatha, Kamran Ali & Jajja, Shakeel Sadiq & Cao, Dongmei & Ma, Xiao, 2024. "Unpacking Digital Transformation: Identifying key enablers, transition stages and digital archetypes," Technological Forecasting and Social Change, Elsevier, vol. 203(C).
    16. Farajpour, Farnoush & Hassanzadeh, Alireza & Elahi, Shaban & Ghazanfari, Mehdi, 2022. "Digital supply chain blueprint via a systematic literature review," Technological Forecasting and Social Change, Elsevier, vol. 184(C).
    17. Venugopal Gopalakrishna-Remani & Robert Paul Jones & Kerri M. Camp, 2019. "Levels of EMR Adoption in U.S. Hospitals: An Empirical Examination of Absorptive Capacity, Institutional Pressures, Top Management Beliefs, and Participation," Information Systems Frontiers, Springer, vol. 21(6), pages 1325-1344, December.
    18. Sören Wallbach & Katrin Coleman & Ralf Elbert & Alexander Benlian, 2019. "Multi-sided platform diffusion in competitive B2B networks: inhibiting factors and their impact on network effects," Electronic Markets, Springer;IIM University of St. Gallen, vol. 29(4), pages 693-710, December.
    19. Anke Joubert & Matthias Murawski & Markus Bick, 2023. "Measuring the Big Data Readiness of Developing Countries – Index Development and its Application to Africa," Information Systems Frontiers, Springer, vol. 25(1), pages 327-350, February.
    20. Lutfi, Abdalwali & Alrawad, Mahmaod & Alsyouf, Adi & Almaiah, Mohammed Amin & Al-Khasawneh, Ahmad & Al-Khasawneh, Akif Lutfi & Alshira'h, Ahmad Farhan & Alshirah, Malek Hamed & Saad, Mohamed & Ibrahim, 2023. "Drivers and impact of big data analytic adoption in the retail industry: A quantitative investigation applying structural equation modeling," Journal of Retailing and Consumer Services, Elsevier, vol. 70(C).

    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:gam:jsusta:v:15:y:2023:i:4:p:3163-:d:1062916. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.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.