Social media role in detecting food supply chain management challenges through blockchain technology

This paper aims to study social media (SM) role in detecting food supply chain management (SCM) challenges and the importance of the Blockchain technology (BCT) in presenting sustainable solutions to these challenges.

This paper follows a big data analytics approach by using text mining techniques and raw data from X/Twitter and processed using the open-source programming language R.

This paper shows that SM generally and X/Twitter particularly play a major role in detecting FSC challenges and in shedding the light on trends and gaps in food supply chain (SC), along with the main actors on SM that influence food SCM. This study also shows that BCT is a convenient technology to reconsider the structure of food SCM to ensure higher food safety and a better digitalization of food SC, especially in the Asian region, with the large population and key consumers in food market.

This study contributes to data and knowledge that try to fill gaps in research related to the role of SM in detecting food SCM challenges through BCT.