IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v18y2021i14p7513-d594393.html
   My bibliography  Save this article

Big Data-Enabled Solutions Framework to Overcoming the Barriers to Circular Economy Initiatives in Healthcare Sector

Author

Listed:
  • Yiğit Kazançoğlu

    (Department of International Logistics Management, Faculty of Business, Yaşar University, İzmir 35100, Turkey)

  • Muhittin Sağnak

    (Department of Information Management, İzmir Katip Celebi University, İzmir 35620, Turkey)

  • Çisem Lafcı

    (Department of International Logistics Management, Faculty of Business, Yaşar University, İzmir 35100, Turkey)

  • Sunil Luthra

    (Department of Mechanical Engineering, Ch. Ranbir Singh State Institute of Engineering and Technology, Jhajjar-124103, India)

  • Anil Kumar

    (Guildhall School of Business and Law, London Metropolitan University, London N7 8DB, UK)

  • Caner Taçoğlu

    (Department of Industrial Engineering, Faculty of Engineering, İzmir University of Economics, İzmir 35330, Turkey)

Abstract

Ever-changing conditions and emerging new challenges affect the ability of the healthcare sector to survive with the current system, and to maintain its processes effectively. In the healthcare sector, the conservation of the natural resources is being obstructed by insufficient infrastructure for managing residual waste resulting from single-use medical materials, increased energy use, and its environmental burden. In this context, circularity and sustainability concepts have become essential in healthcare to meliorate the sector’s negative impacts on the environment. The main aim of this study is to identify the barriers related to circular economy (CE) in the healthcare sector, apply big data analytics in healthcare, and provide solutions to these barriers. The contribution of this research is the detailed examination of the current healthcare literature about CE adaptation, and a proposal for a big data-enabled solutions framework to barriers to circularity, using fuzzy best-worst Method (BWM) and fuzzy VIKOR. Based on the findings, managerial, policy, and theoretical implementations are recommended to support sustainable development initiatives in the healthcare sector.

Suggested Citation

  • Yiğit Kazançoğlu & Muhittin Sağnak & Çisem Lafcı & Sunil Luthra & Anil Kumar & Caner Taçoğlu, 2021. "Big Data-Enabled Solutions Framework to Overcoming the Barriers to Circular Economy Initiatives in Healthcare Sector," IJERPH, MDPI, vol. 18(14), pages 1-21, July.
    • Handle: RePEc:gam:jijerp:v:18:y:2021:i:14:p:7513-:d:594393
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/18/14/7513/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1660-4601/18/14/7513/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Gupta, Himanshu, 2018. "Evaluating service quality of airline industry using hybrid best worst method and VIKOR," Journal of Air Transport Management, Elsevier, vol. 68(C), pages 35-47.
    2. Acquaye, Adolf & Ibn-Mohammed, Taofeeq & Genovese, Andrea & Afrifa, Godfred A & Yamoah, Fred A & Oppon, Eunice, 2018. "A quantitative model for environmentally sustainable supply chain performance measurement," European Journal of Operational Research, Elsevier, vol. 269(1), pages 188-205.
    3. Ramachandran, Muthu, 2016. "Software security requirements management as an emerging cloud computing service," International Journal of Information Management, Elsevier, vol. 36(4), pages 580-590.
    4. Haesun Park-Poaps & Kathleen Rees, 2010. "Stakeholder Forces of Socially Responsible Supply Chain Management Orientation," Journal of Business Ethics, Springer, vol. 92(2), pages 305-322, March.
    5. Olga Fedotkina & Elena Gorbashko & Natalia Vatolkina, 2019. "Circular Economy in Russia: Drivers and Barriers for Waste Management Development," Sustainability, MDPI, vol. 11(20), pages 1-21, October.
    6. Nida Shahid & Tim Rappon & Whitney Berta, 2019. "Applications of artificial neural networks in health care organizational decision-making: A scoping review," PLOS ONE, Public Library of Science, vol. 14(2), pages 1-22, February.
    7. Gardiyawasam Pussewalage, Harsha S. & Oleshchuk, Vladimir A., 2016. "Privacy preserving mechanisms for enforcing security and privacy requirements in E-health solutions," International Journal of Information Management, Elsevier, vol. 36(6), pages 1161-1173.
    8. Glenn Robert & Elizabeth Morrow & Jill Maben & Peter Griffiths & Lynn Callard, 2011. "The adoption, local implementation and assimilation into routine nursing practice of a national quality improvement programme: the Productive Ward in England," Journal of Clinical Nursing, John Wiley & Sons, vol. 20(7‐8), pages 1196-1207, April.
    9. Sharma, Amalesh & Borah, Sourav Bikash & Moses, Aditya C., 2021. "Responses to COVID-19: The role of governance, healthcare infrastructure, and learning from past pandemics," Journal of Business Research, Elsevier, vol. 122(C), pages 597-607.
    10. Atreyi Kankanhalli & Jungpil Hahn & Sharon Tan & Gordon Gao, 2016. "Big data and analytics in healthcare: Introduction to the special section," Information Systems Frontiers, Springer, vol. 18(2), pages 233-235, April.
    11. Bin Jiang, 2009. "Implementing Supplier Codes of Conduct in Global Supply Chains: Process Explanations from Theoretic and Empirical Perspectives," Journal of Business Ethics, Springer, vol. 85(1), pages 77-92, March.
    12. Claudia Quitmann & Rainer Sauerborn & Alina Herrmann, 2021. "Gaps in Reporting Greenhouse Gas Emissions by German Hospitals—A Systematic Grey Literature Review," Sustainability, MDPI, vol. 13(3), pages 1-19, January.
    13. 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.
    14. Marcel C. Hollander & Conny A. Bakker & Erik Jan Hultink, 2017. "Product Design in a Circular Economy: Development of a Typology of Key Concepts and Terms," Journal of Industrial Ecology, Yale University, vol. 21(3), pages 517-525, June.
    15. Govindan, Kannan & Kaliyan, Mathiyazhagan & Kannan, Devika & Haq, A.N., 2014. "Barriers analysis for green supply chain management implementation in Indian industries using analytic hierarchy process," International Journal of Production Economics, Elsevier, vol. 147(PB), pages 555-568.
    16. Anita Liu & Richard Fellows & Martin Tuuli, 2011. "The role of corporate citizenship values in promoting corporate social performance: towards a conceptual model and a research agenda," Construction Management and Economics, Taylor & Francis Journals, vol. 29(2), pages 173-183.
    17. Marta Pinzone & Emanuele Lettieri & Cristina Masella, 2015. "Proactive Environmental Strategies in Healthcare Organisations: Drivers and Barriers in Italy," Journal of Business Ethics, Springer, vol. 131(1), pages 183-197, September.
    18. Shojaei, Payam & Seyed Haeri, Seyed Amin & Mohammadi, Sahar, 2018. "Airports evaluation and ranking model using Taguchi loss function, best-worst method and VIKOR technique," Journal of Air Transport Management, Elsevier, vol. 68(C), pages 4-13.
    19. Gláucya Daú & Annibal Scavarda & Luiz Felipe Scavarda & Vivianne Julianelli Taveira Portugal, 2019. "The Healthcare Sustainable Supply Chain 4.0: The Circular Economy Transition Conceptual Framework with the Corporate Social Responsibility Mirror," Sustainability, MDPI, vol. 11(12), pages 1-19, June.
    20. Wang, Yichuan & Kung, LeeAnn & Byrd, Terry Anthony, 2018. "Big data analytics: Understanding its capabilities and potential benefits for healthcare organizations," Technological Forecasting and Social Change, Elsevier, vol. 126(C), pages 3-13.
    21. Rezaei, Jafar, 2015. "Best-worst multi-criteria decision-making method," Omega, Elsevier, vol. 53(C), pages 49-57.
    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. David Duindam, 2022. "Transitioning to Sustainable Healthcare: Decarbonising Healthcare Clinics, a Literature Review," Challenges, MDPI, vol. 13(2), pages 1-20, December.
    2. Abrar Mahjoob & Yousef Alfadhli & Vincent Omachonu, 2023. "Healthcare Waste and Sustainability: Implications for a Circular Economy," Sustainability, MDPI, vol. 15(10), pages 1-20, May.
    3. Carlotta D’Alessandro & Katarzyna Szopik-Depczyńska & Małgorzata Tarczyńska-Łuniewska & Cecilia Silvestri & Giuseppe Ioppolo, 2024. "Exploring Circular Economy Practices in the Healthcare Sector: A Systematic Review and Bibliometric Analysis," Sustainability, MDPI, vol. 16(1), pages 1-19, January.

    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. Vineet Kaushik & Ashwani Kumar & Himanshu Gupta & Gaurav Dixit, 2022. "Modelling and prioritizing the factors for online apparel return using BWM approach," Electronic Commerce Research, Springer, vol. 22(3), pages 843-873, September.
    2. Chakraborty, Santonab & Ghosh, Sayantan & Sarker, Baneswar & Chakraborty, Shankar, 2020. "An integrated performance evaluation approach for the Indian international airports," Journal of Air Transport Management, Elsevier, vol. 88(C).
    3. Tanrıverdi, Gökhan & Ecer, Fatih & Durak, Mehmet Şahin, 2022. "Exploring factors affecting airport selection during the COVID-19 pandemic from air cargo carriers’ perspective through the triangular fuzzy Dombi-Bonferroni BWM methodology," Journal of Air Transport Management, Elsevier, vol. 105(C).
    4. Mi, Xiaomei & Tang, Ming & Liao, Huchang & Shen, Wenjing & Lev, Benjamin, 2019. "The state-of-the-art survey on integrations and applications of the best worst method in decision making: Why, what, what for and what's next?," Omega, Elsevier, vol. 87(C), pages 205-225.
    5. Abderahman Rejeb & Karim Rejeb & Suhaiza Zailani & Yasanur Kayikci & John G. Keogh, 2023. "Examining Knowledge Diffusion in the Circular Economy Domain: a Main Path Analysis," Circular Economy and Sustainability, Springer, vol. 3(1), pages 125-166, March.
    6. Abderahman Rejeb & Karim Rejeb & John G. Keogh & Suhaiza Zailani, 2022. "Barriers to Blockchain Adoption in the Circular Economy: A Fuzzy Delphi and Best-Worst Approach," Sustainability, MDPI, vol. 14(6), pages 1-23, March.
    7. Nansheng Pang & Wenjing Guo, 2019. "Uncertain Hybrid Multiple Attribute Group Decision of Offshore Wind Power Transmission Mode Based on theVIKOR Method," Sustainability, MDPI, vol. 11(21), pages 1-21, November.
    8. Fahian Anisul Huq & Mark Stevenson, 2020. "Implementing Socially Sustainable Practices in Challenging Institutional Contexts: Building Theory from Seven Developing Country Supplier Cases," Journal of Business Ethics, Springer, vol. 161(2), pages 415-442, January.
    9. Donna Marshall & Lucy McCarthy & Marius Claudy & Paul McGrath, 2019. "Piggy in the Middle: How Direct Customer Power Affects First-Tier Suppliers’ Adoption of Socially Responsible Procurement Practices and Performance," Journal of Business Ethics, Springer, vol. 154(4), pages 1081-1102, February.
    10. Mathivathanan, Deepak & Mathiyazhagan, K. & Khorana, Sangeeta & Rana, Nripendra P. & Arora, Bimal, 2022. "Drivers of circular economy for small and medium enterprises: Case study on the Indian state of Tamil Nadu," Journal of Business Research, Elsevier, vol. 149(C), pages 997-1015.
    11. van de Kaa, G. & Fens, T. & Rezaei, J. & Kaynak, D. & Hatun, Z. & Tsilimeni-Archangelidi, A., 2019. "Realizing smart meter connectivity: Analyzing the competing technologies Power line communication, mobile telephony, and radio frequency using the best worst method," Renewable and Sustainable Energy Reviews, Elsevier, vol. 103(C), pages 320-327.
    12. Jian Wang & Jin-Chun Huang & Shan-Lin Huang & Gwo-Hshiung Tzeng & Ting Zhu, 2021. "Improvement Path for Resource-Constrained Cities Identified Using an Environmental Co-Governance Assessment Framework Based on BWM-mV Model," IJERPH, MDPI, vol. 18(9), pages 1-30, May.
    13. Gholamreza Haseli & Reza Sheikh & Jianqiang Wang & Hana Tomaskova & Erfan Babaee Tirkolaee, 2021. "A Novel Approach for Group Decision Making Based on the Best–Worst Method (G-BWM): Application to Supply Chain Management," Mathematics, MDPI, vol. 9(16), pages 1-20, August.
    14. Rahman, Mohammad Saidur & Khalil, Ibrahim & Yi, Xun, 2019. "A lossless DNA data hiding approach for data authenticity in mobile cloud based healthcare systems," International Journal of Information Management, Elsevier, vol. 45(C), pages 276-288.
    15. Kudla, Nicole & Stölzle, Wolfgang, 2011. "Sustainability Supply Chain Management Research," Die Unternehmung - Swiss Journal of Business Research and Practice, Nomos Verlagsgesellschaft mbH & Co. KG, vol. 65(3), pages 263-301.
    16. Tabasam Rashid & Asif Ali & Yu-Ming Chu, 2021. "Hybrid BW-EDAS MCDM methodology for optimal industrial robot selection," PLOS ONE, Public Library of Science, vol. 16(2), pages 1-18, February.
    17. Haoran Zhao & Sen Guo & Huiru Zhao, 2018. "Selecting the Optimal Micro-Grid Planning Program Using a Novel Multi-Criteria Decision Making Model Based on Grey Cumulative Prospect Theory," Energies, MDPI, vol. 11(7), pages 1-24, July.
    18. Chauhan, Ankur & Jakhar, Suresh Kumar & Jabbour, Charbel Jose Chiappetta, 2022. "Implications for sustainable healthcare operations in embracing telemedicine services during a pandemic," Technological Forecasting and Social Change, Elsevier, vol. 176(C).
    19. Mohammadi, Majid & Rezaei, Jafar, 2020. "Bayesian best-worst method: A probabilistic group decision making model," Omega, Elsevier, vol. 96(C).
    20. Morteza Yazdani & Prasenjit Chatterjee & Maria Jose Montero-Simo & Rafael A. Araque-Padilla, 2019. "An Integrated Multi-Attribute Model for Evaluation of Sustainable Mobile Phone," Sustainability, MDPI, vol. 11(13), pages 1-18, July.

    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:jijerp:v:18:y:2021:i:14:p:7513-:d:594393. 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.