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

• This paper examines the use of mean–variance (MV) theory for risk analysis in global supply chains. • It focuses on the global supply chain operations in the presence of air logistics. • The benefits of blockchain technology on implementing MV risk analysis are explored. • A future research agenda for the application of MV theory is proposed. 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. [ABSTRACT FROM AUTHOR]