The University of Southampton
University of Southampton Institutional Repository

Blockchain application in recycling: from the supply chain perspective

Blockchain application in recycling: from the supply chain perspective
Blockchain application in recycling: from the supply chain perspective
Recycling chains face evident challenges, including surging waste generation, insufficient recycling incentives and enforcement, fragmented traceability, and limited recycling network coordination. These challenges are particularly pronounced in the complex structures of multi-tier sustainable supply chains (MT-SSCM), where Blockchain technology (BCT) is often lauded as a potential ‘game-changer’. However, the transformative potential of BCT lacks empirical evidence, especially regarding how it can be effectively applied to recycling chains. The study commences with a comprehensive review of BCT functionalities, application drivers, technical feasibility, and potential performance. Subsequently, it employs a multiple-case study method to examine three companies that have successfully integrated BCT into their multi-tier recycling chains. Employing the Organisational Information Processing Theory (OIPT) as a framework, the study identifies three levels of information processing needs—firm, supply chain, and industry—and explores how BCT augments capabilities in transparency, immutability, integration, and trust. Additionally, the research delineates knowledge integration phases—transferring, translating, and transforming—while pinpointing visionary and structural boundary objects that facilitate this intricate process. This research stands as an early exploration into BCT application in the recycling sector, advancing the application of BCT in SSCM. It expands the body of knowledge by delineating a diverse multi-tier recycling framework. Theoretically, the study emphasises the critical role of information processing fit mechanisms, which are pivotal for enhancing performance in this domain. By employing a knowledge integration perspective, the research delineates how BCT can be effectively applied, thereby broadening the discourse on knowledge integration and the utility of boundary objects within recycling chains. The findings have been synthesised into a conceptual framework that incorporates the theoretical constructs of uncertainty in recycling chains, the capabilities enabled by BCT for information processing, and the mechanisms of knowledge integration. Practically, this study offers actionable insights for practitioners. It showcases a viable BCT-based recycling chain model that can aid practitioners in their pursuit of digital transformation towards sustainability. Additionally, it outlines further considerations for blockchain companies looking to pioneer feasible applications. For regulatory associations and other verification entities, BCT emerges as an invaluable tool to enhance supervision and trust.
University of Southampton
Xie, Shenghao
218c6b7c-71c9-4acf-b995-05aad9557d8d
Xie, Shenghao
218c6b7c-71c9-4acf-b995-05aad9557d8d
Gong, Yu (Jack)
86c8d37a-744d-46ab-8b43-18447ccaf39c
Kunc, Martin
0b254052-f9f5-49f9-ac0b-148c257ba412

Xie, Shenghao (2024) Blockchain application in recycling: from the supply chain perspective. University of Southampton, Doctoral Thesis, 261pp.

Record type: Thesis (Doctoral)

Abstract

Recycling chains face evident challenges, including surging waste generation, insufficient recycling incentives and enforcement, fragmented traceability, and limited recycling network coordination. These challenges are particularly pronounced in the complex structures of multi-tier sustainable supply chains (MT-SSCM), where Blockchain technology (BCT) is often lauded as a potential ‘game-changer’. However, the transformative potential of BCT lacks empirical evidence, especially regarding how it can be effectively applied to recycling chains. The study commences with a comprehensive review of BCT functionalities, application drivers, technical feasibility, and potential performance. Subsequently, it employs a multiple-case study method to examine three companies that have successfully integrated BCT into their multi-tier recycling chains. Employing the Organisational Information Processing Theory (OIPT) as a framework, the study identifies three levels of information processing needs—firm, supply chain, and industry—and explores how BCT augments capabilities in transparency, immutability, integration, and trust. Additionally, the research delineates knowledge integration phases—transferring, translating, and transforming—while pinpointing visionary and structural boundary objects that facilitate this intricate process. This research stands as an early exploration into BCT application in the recycling sector, advancing the application of BCT in SSCM. It expands the body of knowledge by delineating a diverse multi-tier recycling framework. Theoretically, the study emphasises the critical role of information processing fit mechanisms, which are pivotal for enhancing performance in this domain. By employing a knowledge integration perspective, the research delineates how BCT can be effectively applied, thereby broadening the discourse on knowledge integration and the utility of boundary objects within recycling chains. The findings have been synthesised into a conceptual framework that incorporates the theoretical constructs of uncertainty in recycling chains, the capabilities enabled by BCT for information processing, and the mechanisms of knowledge integration. Practically, this study offers actionable insights for practitioners. It showcases a viable BCT-based recycling chain model that can aid practitioners in their pursuit of digital transformation towards sustainability. Additionally, it outlines further considerations for blockchain companies looking to pioneer feasible applications. For regulatory associations and other verification entities, BCT emerges as an invaluable tool to enhance supervision and trust.

Text
Doctoral_Thesis_Shenghao_Xie_PDFA - Version of Record
Restricted to Repository staff only until 5 April 2027.
Available under License University of Southampton Thesis Licence.
Text
Final-thesis-submission-Examination-Mr-Shenghao-Xie
Restricted to Repository staff only

More information

Submitted date: March 2024
Published date: April 2024

Identifiers

Local EPrints ID: 490844
URI: http://eprints.soton.ac.uk/id/eprint/490844
PURE UUID: 14ebec79-ec2e-45de-90a5-42ba34f0396e
ORCID for Shenghao Xie: ORCID iD orcid.org/0000-0003-1134-5285
ORCID for Yu (Jack) Gong: ORCID iD orcid.org/0000-0002-5411-376X
ORCID for Martin Kunc: ORCID iD orcid.org/0000-0002-3411-4052

Catalogue record

Date deposited: 06 Jun 2024 17:23
Last modified: 21 Sep 2024 02:03

Export record

Contributors

Author: Shenghao Xie ORCID iD
Thesis advisor: Yu (Jack) Gong ORCID iD
Thesis advisor: Martin Kunc ORCID iD

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×