TY - JOUR
T1 - Mapping the research trends on blockchain technology in food and agriculture industry
T2 - A bibliometric analysis
AU - Niknejad, Naghmeh
AU - Ismail, Waidah
AU - Bahari, Mahadi
AU - Hendradi, Rimuljo
AU - Salleh, Ahmad Zaki
N1 - Publisher Copyright:
© 2020 Elsevier B.V.
PY - 2021/2
Y1 - 2021/2
N2 - Blockchain is an undeniably ingenious leading technology that has attracted the attention of academics and practitioners in different industries and disciplines. Due to the increasing interest of academic scholars in agri-food supply chain, this research aims to examine blockchain technology with a focus on the food and agriculture studies. Therefore, a bibliometric technique was adopted to detect the prominent trends and themes in this domain through analysing the substantial articles, authors, countries, and keywords. This research attempts to expand a graphical mapping of the bibliographic information of food and agriculture research using the R package bibliometrix and Visualisation of Similarities (VOS) viewer application. Thus, the present research performed the following analyses: the co-occurrence of author keywords, multiple correspondence analysis, bibliographic coupling analysis, co-citation analysis, and network view map analysis. The findings of the network view map revealed that food and agriculture studies have been categorised into three clusters, and the terms mostly used in the title and abstract of the articles were traceability, transaction, Internet of Things (IoT), safety, and food supply chain.
AB - Blockchain is an undeniably ingenious leading technology that has attracted the attention of academics and practitioners in different industries and disciplines. Due to the increasing interest of academic scholars in agri-food supply chain, this research aims to examine blockchain technology with a focus on the food and agriculture studies. Therefore, a bibliometric technique was adopted to detect the prominent trends and themes in this domain through analysing the substantial articles, authors, countries, and keywords. This research attempts to expand a graphical mapping of the bibliographic information of food and agriculture research using the R package bibliometrix and Visualisation of Similarities (VOS) viewer application. Thus, the present research performed the following analyses: the co-occurrence of author keywords, multiple correspondence analysis, bibliographic coupling analysis, co-citation analysis, and network view map analysis. The findings of the network view map revealed that food and agriculture studies have been categorised into three clusters, and the terms mostly used in the title and abstract of the articles were traceability, transaction, Internet of Things (IoT), safety, and food supply chain.
KW - Blockchain
KW - Food and agriculture
KW - R package bibliometrix
KW - Scopus
KW - VOSviewer
UR - http://www.scopus.com/inward/record.url?scp=85097157426&partnerID=8YFLogxK
U2 - 10.1016/j.eti.2020.101272
DO - 10.1016/j.eti.2020.101272
M3 - Review article
AN - SCOPUS:85097157426
SN - 2352-1864
VL - 21
JO - Environmental Technology and Innovation
JF - Environmental Technology and Innovation
M1 - 101272
ER -