Traceability system model of Indonesian food cold-chain industry: A Covid-19 pandemic perspective

Abstract

Abstract This study analyzed the traceability system s effect on Indonesia s food cold chain performance during the Covid-19 pandemic and described the needs of cold food consumers in Indonesia regarding the traceability system. Five latent variables were used to form research models, including the adoption of electronic data interchange (EDI), radio frequency identification (RFID), blockchain, traceability system, and food cold chain performance. This study uses a quantitative approach with a questionnaire as a research instrument distributed to 140 respondents by purposive sampling. The total number of manifest variables measuring latent variables is 28 variables. A partial least square for structural equation modeling (PLS-SEM) is used to analyze the relationship between latent variables. The results obtained through this study are that exogenous variables: EDI, RFID, and blockchain adoption, significantly affect endogenous variables, namely the traceability system. Blockchain adoption is proven to have a very significant influence compared to the three information technologies. This work also confirms that the traceability system also has a significant effect on food cold chain performance.