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

By Tsan-Ming (Jason) Choi, Xin Wen, Xuting Sun, Sai Ho Chung. Transportation Research Part E: Logistics and Transportation Review, 2019

372 citations recorded by the source corpus.

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.

Subfields: Information Systems, Management Information Systems, Strategy and Management

View Paper: https://www.semanticscholar.org/paper/fa021d42819b038fb410833fed4453aa50c04e23

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Citations in the corpus

When Blockchain Meets Supply Chain: A Systematic Literature Review on Current Development and Potential Applications (2020, background): “We also found early evidence that these applications may cover various sectors such as the chemical [60], construction [61], [62], airline [63]–[65], and manufacturing [66], [67].”
Improving supply chain resilience through industry 4.0: A systematic literature review under the impressions of the COVID-19 pandemic (2021, positive): “G) can be used to support supply- and demand-side visibility (Choi et al., 2019).”
A literature review of blockchain technology applications in supply chains: A comprehensive analysis of themes, methodologies and industries (2021, neutral): “In the numerical example category, there are 12 articles that considered cost or profit when the objective function was established (Choi, 2019; Choi, Feng, et al., 2020; Choi & Luo, 2019; Choi et al., 2019; Hayrutdinov et al., 2020; Ko et al., 2018; Li et al., 2019; L. Liu et al., 2019; Longo et…”
Supply Chains Involving a Mean‐Variance‐Skewness‐Kurtosis Newsvendor: Analysis and Coordination (2020, positive): “Details of the above three problems’ solutions have been reported in the literature (see, e.g., Chen and Federgruen 2000, Chiu and Choi 2016, Choi et al. 2008a, 2019) and we will not repeat them here.”
Analysis of resilience strategies and ripple effect in blockchain-coordinated supply chains: An agent-based simulation study (2020, positive): “Choi et al. (2019) conclude that BCT can limit opportunism, enables faster forecasting and scheduling, increases visibility, and simplifies contract design using smart contracts.”