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Promoting Healthcare Sustainability in Developing Countries: Analysis of Knowledge Management Drivers in Public and Private Hospitals of Pakistan

Author

Listed:
  • Jawad Karamat

    (School of Management, Northwestern Polytechnical University, Xi’an 710072, Shannxi, China)

  • Tong Shurong

    (School of Management, Northwestern Polytechnical University, Xi’an 710072, Shannxi, China)

  • Naveed Ahmad

    (School of Management, Northwestern Polytechnical University, Xi’an 710072, Shannxi, China)

  • Sana Afridi

    (Department of Pathology, School of Basic Medical Science, Xi’an Jiaotong University, Xianning West Road, Xi’an 710049, Shaanxi, China)

  • Shahbaz Khan

    (School of Automation, Northwestern Polytechnical University, Xi’an 710072, Shannxi, China)

  • Kashif Mahmood

    (Department of Management Science, Bahria University, Islamabad 44220, Pakistan)

Abstract

Investing in a sustainable future has no alternative; the healthcare sector in developing countries has failed to achieve sustainability objectives. Knowledge management (KM) is a concrete application of sustainability in healthcare, as organizations (hospitals) that manage their knowledge assets will gain sustainable competitive advantage. Several organizations in developed countries are moving towards the adoption of knowledge management so that they can manage their knowledge well and improve their performance. Due to the effective implementation of KM in developed countries, developing countries are also considering adopting KM in their healthcare. In this study, an attempt has been made to identify the drivers of KM adoption in public and private hospitals of Pakistan. With the help of an extensive literature review and expert opinion, the drivers were identified and a hierarchical structure was developed. Nineteen drivers were identified and screened out by experts. The experts identified the contextual relationships between the drivers during a brainstorming session. The hierarchical model of the drivers for KM in the healthcare of Pakistan was eventually developed using interpretive structural modeling (ISM). The structure has 10 levels, in which “developed competitive advantage” formed the foundation of the structure and “job creation” and “improvement in the reputation of healthcare” formed the topmost level. The “Matrices d’Impacts Croises Multiplication Appliqué a un Classement” (MICMAC) analysis classified the drivers by categorizing them according to their driving and dependence powers. One driver is identified as autonomous, six drivers as dependent, seven drivers as linkage, and five drivers as independent. The analysis of KM drivers will provide a good understanding of the interdependence and interactions between them and support the effect adoption of KM in developing countries especially in Pakistan.

Suggested Citation

  • Jawad Karamat & Tong Shurong & Naveed Ahmad & Sana Afridi & Shahbaz Khan & Kashif Mahmood, 2019. "Promoting Healthcare Sustainability in Developing Countries: Analysis of Knowledge Management Drivers in Public and Private Hospitals of Pakistan," IJERPH, MDPI, vol. 16(3), pages 1-24, February.
    • Handle: RePEc:gam:jijerp:v:16:y:2019:i:3:p:508-:d:204991
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    References listed on IDEAS

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    2. Muhammad Nawaz & Ghulam Abid & Talat Islam & Jinsoo Hwang & Zohra Lassi, 2022. "Providing Solution in an Emergency: COVID-19 and Voice Behavior of Healthcare Professionals," SAGE Open, , vol. 12(4), pages 21582440221, December.
    3. Mohammad Alboliteeh & Maha Sanat Alrashidi & Nojoud Alrashedi & Analita Gonzales & Romeo Jr Mostoles & Eddieson Pasay-an & Wireen Leila Dator, 2022. "Knowledge Management and Sustainability Performance of Hospital Organisations: The Healthcare Managers’ Perspective," Sustainability, MDPI, vol. 15(1), pages 1-11, December.
    4. 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.
    5. Arantes, Amílcar & Alhais, Andreia Frias & Ferreira, Luis Miguel D.F., 2022. "Application of a purchasing portfolio model to define medicine purchasing strategies: An empirical study," Socio-Economic Planning Sciences, Elsevier, vol. 84(C).

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