A Domestic and International Comparative Study on Food Cold Chain: Keyword Network Analysis

Abstract

This study conducted keyword network analysis on domestic and international articles related to food cold chain to figure out major research issues reflecting influences of COVID-19 and to derive implications. For this purpose, 409 papers (8,166 keywords) were collected from the time the first paper was published in domestic and international journals in Scopus, Web of Science, and Korea Citation Index(KCI) to the overall publication period (international journals from 1996 to the end of April, 2022 and domestic journals from 2004 to the end of April, 2022). As non face-to-face food purchases through e-commerce have soared due to the prolonged COVID-19, researches on new technologies such as the IoT, machine learning, and blockchain are actively conducted in domestic and international papers. Recent international papers mainly deal with the subject of non face-to-face cold chain food transaction management, but domestic studies mainly have been conducted on online cold chain food purchase decisions. And this study presented the characteristics and future tasks of domestic food cold chain research through comparative analysis of domestic and international papers considering the COVID-19 period.