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Article
Publication date: 25 November 2024

Jinyu Wei, Xin Zhang, Yaoxi Liu and Yingmei Jiang

This study aims to propose a cloud platform architecture considering information sharing based on blockchain to realize the security and convenience of enterprise information…

Abstract

Purpose

This study aims to propose a cloud platform architecture considering information sharing based on blockchain to realize the security and convenience of enterprise information sharing in the automotive supply chain.

Design/methodology/approach

A bilateral matching model considering enterprises information contribution stimulates information sharing and improves the efficiency and quality of supply and demand matching. Three smart contracts are used to complete the information sharing process and match supply and demand in the automotive supply chain.

Findings

The system is tested on the local Ganache private chain, and the decentralized web page is designed based on the architecture prototype.

Originality/value

Solve the problem of information island in automobile supply chain.

Details

Industrial Management & Data Systems, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 0263-5577

Keywords

Article
Publication date: 16 August 2024

Suneet Singh, Saurabh Pratap, Ashish Dwivedi and Lakshay

In the existing era, international trade is boosted by maritime freight movement. The academicians and Government are concerned about environmental contamination caused by…

Abstract

Purpose

In the existing era, international trade is boosted by maritime freight movement. The academicians and Government are concerned about environmental contamination caused by maritime goods that transit global growth and development. Digital technologies like blockchain help the maritime freight business to stay competitive in the digital age. This study aims to illuminate blockchain technology (BCT) adoption aspects to alleviate early industry adoption restrictions.

Design/methodology/approach

This study adopts a two-stage approach comprising of structural equation modeling (SEM) with artificial neural networks (ANN) to analyze critical factors influencing the adoption of BCT in the sustainable maritime freight industry.

Findings

The SEM findings from this study illustrate that social, organizational, technological and infrastructual and institutional factors affect BCT execution. Furthermore, the ANN technique uses the SEM data to determine that sustainability enabled digital freight training (S3), initial investment cost (O5) and trust over digital technology (G1) are the most essential blockchain deployment factors.

Originality/value

The hybrid approach aims to help decision-makers and policymakers examine their organizational blockchain adoption goals to construct sustainable, efficient and effective maritime freight transportation.

Details

Journal of Business & Industrial Marketing, vol. 39 no. 11
Type: Research Article
ISSN: 0885-8624

Keywords

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