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Business model canvas for humanitarian operations of logistics service providers
Kucukaltan, B. ; Irani, Zahir ; Acar, A.Z.
Kucukaltan, B.
Irani, Zahir
Acar, A.Z.
Publication Date
2022
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© 2020 Informa UK Limited, trading as Taylor & Francis Group. This is an Author's Original Manuscript of an article published by Taylor & Francis in Production Planning & Control on 21 Oct 2020 available online at https://doi.org/10.1080/09537287.2020.1834128.
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Yes
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openAccess
Accepted for publication
31/05/2020
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Abstract
For years, humankind has been facing various disasters of which logistics has a crucial role for alleviating sufferings of vulnerable people, who are isolated and in need of basic supplies. Owing to the increasing importance of logistics in humanitarian operations, logistics service providers (LSPs) have recently become more prominent. Yet, only a few LSPs have the capabilities and mechanisms to offer operational solutions for humanitarian relief. Also, the conducted extensive literature review makes evident that the existence of a limited number of normative research reveals a barrier about what LSPs can bring into the humanitarian field. Accordingly, why LSPs are particularly important in the humanitarian supply chain and how LSPs manage their activities and resources in humanitarian operations become the main questions to be addressed. Thus, this study seeks to explore humanitarian operations of LSPs from different dimensions, enabled by Business Model Canvas (BMC). In this sense, the obtained findings clarify both similar and different viewpoints of diverse LSPs when mapped against the BMC. Consequently, the categorised interrelated information presented through the cross-case synthesis provide novelty to advance insights both on strategic missions of LSPs in humanitarian relief operations and on the usage of BMC beyond its common commercial implementations.
Version
Accepted manuscript
Citation
Kucukaltan B, Irani Z and Acar AZ (2022) Business model canvas for humanitarian operations of logistics service providers. Production Planning & Control. 33(6-7): 590-605.
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Article