Mapping the research trends on blockchain technology in food and agriculture industry: A bibliometric analysis

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...

Full description

Saved in:
Bibliographic Details
Main Authors: Niknejad, Naghmeh, Ismail, Waidah, Bahari, Mahadi, Hendradi, Rimuljo, Salleh, Ahmad Zaki
Format: Article
Published: Elsevier B.V. 2021
Subjects:
Online Access:http://eprints.utm.my/id/eprint/95130/
http://dx.doi.org/10.1016/j.eti.2020.101272
Tags: Add Tag
No Tags, Be the first to tag this record!
Institution: Universiti Teknologi Malaysia
id my.utm.95130
record_format eprints
spelling my.utm.951302022-04-29T22:24:22Z http://eprints.utm.my/id/eprint/95130/ Mapping the research trends on blockchain technology in food and agriculture industry: A bibliometric analysis Niknejad, Naghmeh Ismail, Waidah Bahari, Mahadi Hendradi, Rimuljo Salleh, Ahmad Zaki HB615-715 Entrepreneurship. Risk and uncertainty. Property 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. Elsevier B.V. 2021 Article PeerReviewed Niknejad, Naghmeh and Ismail, Waidah and Bahari, Mahadi and Hendradi, Rimuljo and Salleh, Ahmad Zaki (2021) Mapping the research trends on blockchain technology in food and agriculture industry: A bibliometric analysis. Environmental Technology and Innovation, 2021 . p. 101272. ISSN 2352-1864 http://dx.doi.org/10.1016/j.eti.2020.101272
institution Universiti Teknologi Malaysia
building UTM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
url_provider http://eprints.utm.my/
topic HB615-715 Entrepreneurship. Risk and uncertainty. Property
spellingShingle HB615-715 Entrepreneurship. Risk and uncertainty. Property
Niknejad, Naghmeh
Ismail, Waidah
Bahari, Mahadi
Hendradi, Rimuljo
Salleh, Ahmad Zaki
Mapping the research trends on blockchain technology in food and agriculture industry: A bibliometric analysis
description 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.
format Article
author Niknejad, Naghmeh
Ismail, Waidah
Bahari, Mahadi
Hendradi, Rimuljo
Salleh, Ahmad Zaki
author_facet Niknejad, Naghmeh
Ismail, Waidah
Bahari, Mahadi
Hendradi, Rimuljo
Salleh, Ahmad Zaki
author_sort Niknejad, Naghmeh
title Mapping the research trends on blockchain technology in food and agriculture industry: A bibliometric analysis
title_short Mapping the research trends on blockchain technology in food and agriculture industry: A bibliometric analysis
title_full Mapping the research trends on blockchain technology in food and agriculture industry: A bibliometric analysis
title_fullStr Mapping the research trends on blockchain technology in food and agriculture industry: A bibliometric analysis
title_full_unstemmed Mapping the research trends on blockchain technology in food and agriculture industry: A bibliometric analysis
title_sort mapping the research trends on blockchain technology in food and agriculture industry: a bibliometric analysis
publisher Elsevier B.V.
publishDate 2021
url http://eprints.utm.my/id/eprint/95130/
http://dx.doi.org/10.1016/j.eti.2020.101272
_version_ 1732945435846246400