Validating a Blockchain Technology-Based System in Commodity Markets: A Measurement and Structural Model Assessment-Based Approach

In recent years, commodity markets in India and in other parts of the world are receiving a significant amount of recognition because of blockchain. A commodity can be defined as an artifact or a thing that can be merchandized between two regions, states, or nations. In general, commodities can be broadly categorized as agricultural and non-agricultural. There exists several actors in a commodity trading ecosystem that usually get involved when commodity trading between nations needs to be performed, such as exporters, customs, importer, insurance, and importer bank, and each of them are assigned certain roles and responsibilities that need to be carried out such as L/C, BoL, factoring, exporting credit, and insurance. Blockchain is a DLT that can leverage commodity markets on the whole by supporting the actors and their set of associated activities. It has been observed that commodity markets face a lot of issues during the conduct of trade, which ultimately affects its business processes. The identification of pain points or issues w.r.t. commodity market-related business processes and easing them through blockchain, especially via systems approach, shall enable smoother functioning, thereby improving overall cost and efficiency along with enhanced digital security. This study aims to validate a blockchain-based system in commodity markets by means of a measurement and structural model assessment-based approach.

Authors

Publication Details

Journal
Journal of Information Systems Engineering & Management
Published
2025-02-10
DOI
https://doi.org/10.52783/jisem.v10i13s.2116
Primary Topic
Blockchain Technology Applications and Security
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Validating a Blockchain Technology-Based System in Commodity Markets: A Measurement and Structural Model Assessment-Based Approach

Madhuri Rao Vivian Brian Lobo
Journal of Information Systems Engineering & Management
Blockchain Technology Applications and Security
article

Validating a Blockchain Technology-Based System in Commodity Markets: A Measurement and Structural Model Assessment-Based Approach

Madhuri Rao Vivian Brian Lobo
article en

Abstract

In recent years, commodity markets in India and in other parts of the world are receiving a significant amount of recognition because of blockchain. A commodity can be defined as an artifact or a thing that can be merchandized between two regions, states, or nations. In general, commodities can be broadly categorized as agricultural and non-agricultural. There exists several actors in a commodity trading ecosystem that usually get involved when commodity trading between nations needs to be performed, such as exporters, customs, importer, insurance, and importer bank, and each of them are assigned certain roles and responsibilities that need to be carried out such as L/C, BoL, factoring, exporting credit, and insurance. Blockchain is a DLT that can leverage commodity markets on the whole by supporting the actors and their set of associated activities. It has been observed that commodity markets face a lot of issues during the conduct of trade, which ultimately affects its business processes. The identification of pain points or issues w.r.t. commodity market-related business processes and easing them through blockchain, especially via systems approach, shall enable smoother functioning, thereby improving overall cost and efficiency along with enhanced digital security. This study aims to validate a blockchain-based system in commodity markets by means of a measurement and structural model assessment-based approach.

Journal of Information Systems Engineering & ManagementVol. 10(13s)
Openalex Percentile: Top 96%
Blockchain Technology Applications and Security
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.