The mean-variance approach for global supply chain risk analysis with air logistics in the blockchain technology era

Tsan Ming Choi, Xin Wen, Xuting Sun, Sai Ho Chung

Research output: Journal article publicationJournal articleAcademic researchpeer-review

92 Citations (Scopus)

Abstract

Supply chain operations have entered the digital era with the emergence of blockchain technology. In this paper, we discuss how the mean–variance (MV)approach can be applied to explore global supply chain operations risk with air logistics in the blockchain technology era. To be specific, we examine the related literature from four areas, namely air-logistics operations, demand management, supply management, and supply-demand coordination. We propose how the blockchain technology can be applied to facilitate the implementation of mean-variance risk analysis for global supply chain operations. We then highlight several promising areas for further studies. A future research agenda is developed.

Original languageEnglish
Pages (from-to)178-191
Number of pages14
JournalTransportation Research Part E: Logistics and Transportation Review
Volume127
DOIs
Publication statusPublished - Jul 2019

Keywords

  • Blockchain technology
  • Mean-variance approach
  • Risk analysis
  • Supply chain operations

ASJC Scopus subject areas

  • Business and International Management
  • Civil and Structural Engineering
  • Transportation

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