Decision Science Letters (Jan 2023)

Assessing the factors for humanitarian logistics digital business ecosystem (HLDBE) using a novel integrated correlation coefficient and standard deviation - combined compromise solution (CCSD-CoCoSo) method

  • Benjamin Ohene Kwapong Baffoe,
  • Wenping Luo,
  • Qiao Hong Pan,
  • Sheng Hong Zhou,
  • Mei Ju Wu,
  • Louis Kofi Desire Atimu,
  • Peter Adjei Darko,
  • Evans Opoku-Mensah

DOI
https://doi.org/10.5267/j.dsl.2022.10.001
Journal volume & issue
Vol. 12, no. 1
pp. 117 – 136

Abstract

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This study updates Humanitarian Logistics Digital Business Ecosystem framework coupled with the development of a proposed integrated CCSD-CoCoSo MCDM method to rank factors used in assessing humanitarian and business logistics actor’s propensity to use, diffuse, and adopt a collaborative digital business ecosystem platform for their future operational use. Employing nine criteria derived from technology innovation theories and institutional theory, and 28 experts comprising our decision matrix. The findings report perceived relative advantage, perceived safety and security, and infrastructure and expertise as the top three vital criteria that experts believe when addressed in an ecosystem platform for humanitarian and business logistics actors it would encourage a collaboration for their sustainable future operations. With organisational culture and structure as the least prioritised criteria. The study concludes that the CCSD-CoCoSo obtained results are objective, validating, and that this model is useful and suitable for MCDM analysis and policy making.