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A Model for Understanding the Mediating Association of Transparency between Emerging Technologies and Humanitarian Logistics Sustainability

Author

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  • Muhammad Khan

    (Institute of Business Studies and Leadership, Abdul Wali Khan University, Mardan 23200, Pakistan)

  • Gohar Saleem Parvaiz

    (Department of Management Sciences, Institute of Management Sciences, Peshawar 25000, Pakistan)

  • Abbas Ali

    (Business and Legal Studies Department, University of Siena, 53100 Siena, Italy)

  • Majid Jehangir

    (Department of Business Administration, Changwon National University, Changwon 51140, Korea)

  • Noor Hassan

    (Institute of Business Studies and Leadership, Abdul Wali Khan University, Mardan 23200, Pakistan)

  • Junghan Bae

    (Department of International Economics & Business, Yeungnam University, Gyeongsan 38541, Korea)

Abstract

There has been considerable worldwide attention to the Internet of Things (IoT), blockchain technology (BCT), and artificial intelligence (AI) in all sectors of the economy. Despite still being in the expansion phase, the application of the IoT, BCT, and AI to humanitarian logistics (HL) has drawn a lot of interest due to their significant success in other industries. Commercial and noncommercial organizations are both under growing universal pressure for transparency. Therefore, this study offers a model for understanding the mediating association of transparency between emerging technologies and HL sustainability. The partial least squares structural equation modeling (PLS-SEM) approach was used in conjunction with SmartPLS3. The software was applied to information acquired via questionnaires from 434 disaster relief workers (DRWs) chosen using the snowball sampling approach. The findings suggest that in disaster relief operations (DROs), where corruption and mismanagement in HL have been key concerns for all stakeholders, emerging technologies could be a way forward to achieving system transparency and HL sustainability. The ultimate beneficiaries of transparent and sustainable HL will be all of society, especially the victims of catastrophes. Such victims can receive proper aid on time if the appropriate technology is used in DROs, and early warnings can save many lives. This study adds to the body of knowledge by providing the first empirical evidence assessing the role of emerging technologies in HL transparency and sustainability.

Suggested Citation

  • Muhammad Khan & Gohar Saleem Parvaiz & Abbas Ali & Majid Jehangir & Noor Hassan & Junghan Bae, 2022. "A Model for Understanding the Mediating Association of Transparency between Emerging Technologies and Humanitarian Logistics Sustainability," Sustainability, MDPI, vol. 14(11), pages 1-23, June.
  • Handle: RePEc:gam:jsusta:v:14:y:2022:i:11:p:6917-:d:832447
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    Cited by:

    1. Pinyarat Sirisomboonsuk & James Burns, 2023. "Sustainability in Supply Chains through Rapid Capacity Increases and Minimized Disruptions," Sustainability, MDPI, vol. 15(7), pages 1-17, March.
    2. Henriett Matyi & Péter Tamás, 2023. "Operational Concept of an Innovative Management Framework for Choosing the Optimal Packaging System for Supply Chains," Sustainability, MDPI, vol. 15(4), pages 1-24, February.
    3. Mahmoud Abdulhadi Alabdali & Mohammad Asif Salam, 2022. "The Impact of Digital Transformation on Supply Chain Procurement for Creating Competitive Advantage: An Empirical Study," Sustainability, MDPI, vol. 14(19), pages 1-17, September.
    4. Muhammad Khan & Gohar Saleem Parvaiz & Alisher Tohirovich Dedahanov & Odiljon Sobirovich Abdurazzakov & Dilshodjon Alidjonovich Rakhmonov, 2022. "The Impact of Technologies of Traceability and Transparency in Supply Chains," Sustainability, MDPI, vol. 14(24), pages 1-18, December.
    5. Muhammad Khan & Amal Nasser Alshahrani & Julija Jacquemod, 2023. "Digital Platforms and Supply Chain Traceability for Robust Information and Effective Inventory Management: The Mediating Role of Transparency," Logistics, MDPI, vol. 7(2), pages 1-20, April.
    6. Nikolaos Chondromatidis & Anastasios Gialos & Vasileios Zeimpekis, 2022. "Investigating the Performance of the Order-Picking Process by Using Smart Glasses: A Laboratory Experimental Approach," Logistics, MDPI, vol. 6(4), pages 1-26, December.

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