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Managing healthcare waste for sustainable environmental development: A hybrid decision approach

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  • Vikas Thakur
  • Sachin Kumar Mangla
  • Binita Tiwari

Abstract

Healthcare waste management (HCWM) has become the most concerned issue for hospitals to enhance their environmental performance while reducing the waste disposal costs. The present study aims to standardize the evaluation criteria for the stakeholders to ensure sustainable environmental development by safe disposal of infectious healthcare waste (HCW). The present study applied the fuzzy‐Delphi method to scrutinize the criteria identified from the literature and experts' opinions and resulted in 20 subcriteria under the following six main dimensions: experience, relationship, environmental factors, technology and qualification, economic factors, and firm's capabilities. Further, this study proposed a hybrid approach based on analytic hierarchy process (AHP) and decision‐making trial and evaluation laboratory (DEMATEL) under fuzzy environment to analyze the importance and interrelationships of these listed criteria. The study also showed that the experts have given approximately 70% weightage to three main criteria: firms' capabilities, economic factors, and technology and qualification. The implications of the study would help the healthcare administration and Pollution Control Boards to prepare check sheets for recording HCWM practices and, hence, contribute to sustainable environmental development in an efficient way. Understanding the prioritized cause‐group criteria would further protect hospitals' environment from the spread of infection caused by the HCW in the long run.

Suggested Citation

  • Vikas Thakur & Sachin Kumar Mangla & Binita Tiwari, 2021. "Managing healthcare waste for sustainable environmental development: A hybrid decision approach," Business Strategy and the Environment, Wiley Blackwell, vol. 30(1), pages 357-373, January.
    • Handle: RePEc:bla:bstrat:v:30:y:2021:i:1:p:357-373
    DOI: 10.1002/bse.2625
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    Cited by:

    1. Iraj Mohammadfam & Ali Asghar Khajevandi & Hesam Dehghani & Mohammad Babamiri & Maryam Farhadian, 2022. "Analysis of Factors Affecting Human Reliability in the Mining Process Design Using Fuzzy Delphi and DEMATEL Methods," Sustainability, MDPI, vol. 14(13), pages 1-19, July.
    2. Sang M. Lee & DonHee Lee, 2022. "Effective Medical Waste Management for Sustainable Green Healthcare," IJERPH, MDPI, vol. 19(22), pages 1-17, November.
    3. Badreya Gharib Khamis Mohammed Alblooshi & Syed Zamberi Ahmad & Matloub Hussain & Sanjay Kumar Singh, 2022. "Sustainable management of electronic waste: Empirical evidences from a stakeholders' perspective," Business Strategy and the Environment, Wiley Blackwell, vol. 31(4), pages 1856-1874, May.
    4. Anastasios Sepetis & Paraskevi N. Zaza & Fotios Rizos & Pantelis G. Bagos, 2022. "Identifying and Predicting Healthcare Waste Management Costs for an Optimal Sustainable Management System: Evidence from the Greek Public Sector," IJERPH, MDPI, vol. 19(16), pages 1-20, August.
    5. Ghazale Kordi & Parsa Hasanzadeh-Moghimi & Mohammad Mahdi Paydar & Ebrahim Asadi-Gangraj, 2023. "A multi-objective location-routing model for dental waste considering environmental factors," Annals of Operations Research, Springer, vol. 328(1), pages 755-792, September.
    6. Chia-Li Lin, 2022. "Evaluating the urban sustainable development strategies and common suited paths considering various stakeholders," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 24(12), pages 14033-14073, December.
    7. Jayakrishna Kandasamy & Yatin P. Kinare & Miheer T. Pawar & Abhijit Majumdar & Vimal K.E.K. & Rohit Agrawal, 2022. "Circular economy adoption challenges in medical waste management for sustainable development: An empirical study," Sustainable Development, John Wiley & Sons, Ltd., vol. 30(5), pages 958-975, October.
    8. Görkem Sariyer & Mustafa Gokalp Ataman & Sachin Kumar Mangla & Yigit Kazancoglu & Manoj Dora, 2023. "Big data analytics and the effects of government restrictions and prohibitions in the COVID-19 pandemic on emergency department sustainable operations," Annals of Operations Research, Springer, vol. 328(1), pages 1073-1103, September.

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