Intelligent and Advanced Digital Technologies Enabling Sustainable and Viable Supply Chain and Logistics Ecosystems

Abstract submission deadline

20 May 2027

Manuscript submission deadline

20 July 2027

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Topic Information

Dear Colleagues,

This Topic on “Intelligent and Advanced Digital Technologies Enabling Sustainable and Viable Supply Chain and Logistics Ecosystems” explores how emerging digital solutions are reshaping supply chain and logistics systems to become more efficient, resilient, and environmentally responsible. It focuses on the application of technologies such as artificial intelligence, machine learning, the Internet of Things, blockchain, digital twins, big data analytics, robotics, and automation in addressing current supply chain challenges.

These technologies support better decision making, real-time visibility, predictive capabilities, and improved coordination across supply chain networks. They also help organisations reduce waste, optimise resource use, lower carbon emissions, and enhance operational transparency. In addition, intelligent digital systems can strengthen supply chain viability by improving adaptability to disruptions, market uncertainty, and changing customer demands.

The Topic highlights the growing need to integrate sustainability goals with technological innovation to create logistics ecosystems that are not only smart, but also economically feasible and socially responsible. It welcomes research that advances theory, practice, and policy in digital transformation for supply chains. Overall, this Topic aims to showcase how advanced digital technologies can drive the transition towards more sustainable, agile, and future-ready supply chain and logistics ecosystems across industries and global contexts.

Dr. Samudaya Nanayakkara
Prof. Dr. Srinath Perera
Dr. Kasuni Vidanagamachchi
Topic Editors

Keywords

Participating Journals

Journal Name	Impact Factor	CiteScore	Launched Year	First Decision (median)	APC
Applied System Innovation asi	3.4	9.0	2018	21.3 Days	CHF 1600	Submit
Informatics informatics	5.1	9.1	2014	32.7 Days	CHF 1800	Submit
Logistics logistics	4.4	8.1	2017	17.1 Days	CHF 1500	Submit
Standards standards	-	-	2021	28.5 Days	CHF 1000	Submit
Sustainability sustainability	4.1	8.9	2009	16.9 Days	CHF 2400	Submit
Systems systems	3.8	5.4	2013	19.8 Days	CHF 2400	Submit

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Published Papers (3 papers)

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All ASI Informatics Logistics Standards Sustainability Systems

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34 pages, 1766 KB  

Open AccessArticle

Who Tracks What, and How Deep? Granular Traceability in Multi-Firm Supply Chains via Blockchain-Based Tokenization

by Vangelis Malamas, Georgios Lagoumitzis, Panayiotis Kotzanikolaou, Theodore G. Voutsinas and Thomas K. Dasaklis

Logistics 2026, 10(7), 152; https://doi.org/10.3390/logistics10070152 - 6 Jul 2026

Abstract

Background: Traceability has gained significant importance in supply chain (SC) networks, especially driven by the growing need for transparency, regulatory compliance and consumer assurance. Although blockchain technology addresses several traditional traceability challenges, granularity, interoperability and integration with existing Enterprise Resource Planning (ERP) [...] Read more.

Background: Traceability has gained significant importance in supply chain (SC) networks, especially driven by the growing need for transparency, regulatory compliance and consumer assurance. Although blockchain technology addresses several traditional traceability challenges, granularity, interoperability and integration with existing Enterprise Resource Planning (ERP) systems remain open problems. Methods: In this paper, we propose an integrated blockchain-enabled framework aimed at granular traceability in SC networks. The proposed framework supports the tokenization of the Bill of Materials (BoM) and introduces append-only versioned tokens that capture state evolution across SC stages. Security and privacy are managed through a baseline Role-Based Access Control (RBAC) policy, while EPCIS GS1 event modeling supports standardized data exchange between ERP middleware and the blockchain layer. To examine its applicability, we implement a proof-of-concept prototype and apply the framework to an illustrative wheat SC scenario. Results: Finally, we provide a controlled performance and feasibility analysis based on a private Ethereum/Ganache environment. Conclusions: The results should be interpreted as proof-of-concept evidence of technical feasibility rather than as production-grade validation. Full article

(This article belongs to the Topic Intelligent and Advanced Digital Technologies Enabling Sustainable and Viable Supply Chain and Logistics Ecosystems)

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24 pages, 5355 KB  

Open AccessArticle

Linking AI-Enabled Logistics Optimizations and Sustainable Supply Chain Performance via Logistics Process Efficiency and the Moderating Role of Environmental Uncertainty

by Sabeeh Pervaiz, Li Guohao and Sikandar Ali Qalati

Sustainability 2026, 18(13), 6409; https://doi.org/10.3390/su18136409 - 23 Jun 2026

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Abstract

Grounded in dynamic capability theory, this research examines the impact of AI-enabled logistics optimization (ALO) on logistics process efficiency (LPE) and sustainable supply chain performance (SSCP). It further explores the mediation of LPE and the moderation of environmental uncertainty (EU). A structured online [...] Read more.

Grounded in dynamic capability theory, this research examines the impact of AI-enabled logistics optimization (ALO) on logistics process efficiency (LPE) and sustainable supply chain performance (SSCP). It further explores the mediation of LPE and the moderation of environmental uncertainty (EU). A structured online questionnaire was distributed to 600 participants via stratified random sampling from June to December 2025, resulting in 380 valid responses, and was analyzed using structural equation modeling. The results include a significant influence of ALO on LPE and SSCP. In addition, LPE significantly affects SSCP and partially mediates the ALO–SSCP relationship. Additionally, the EU significantly moderates the ALO–SSCP relationship, identifying that ALO becomes more performance-related under a volatile and uncertain operational environment. The research is based on cross-sectional survey data with self-reported outcomes. Future research is recommended to employ longitudinal or multi-source research methods. It also suggested examining other mechanisms for dynamic capabilities (e.g., agility, resilience) across several sectors. The results of this research extend dynamic capability by elucidating when (under the EU) and how (via LPE) ALO transforms into SSCP. Full article

(This article belongs to the Topic Intelligent and Advanced Digital Technologies Enabling Sustainable and Viable Supply Chain and Logistics Ecosystems)

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49 pages, 1513 KB  

Open AccessSystematic Review

Blockchain Technology for ESG Transparency and Sustainability Reporting in Supply Chains: A Systematic Literature Review

by Mateusz Zaczyk and Jakub Semrau

Sustainability 2026, 18(10), 4877; https://doi.org/10.3390/su18104877 - 13 May 2026

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Abstract

Mandatory Environmental, Social, and Governance (ESG) disclosure requirements—anchored in Corporate Sustainability Reporting Directive (CSRD), International Sustainability Standards Board (ISSB), and Task Force on Climate-related Financial Disclosures (TCFD)—have placed unprecedented demands on supply chain data quality and auditability. Blockchain technology, combining immutability, decentralised governance, [...] Read more.

Mandatory Environmental, Social, and Governance (ESG) disclosure requirements—anchored in Corporate Sustainability Reporting Directive (CSRD), International Sustainability Standards Board (ISSB), and Task Force on Climate-related Financial Disclosures (TCFD)—have placed unprecedented demands on supply chain data quality and auditability. Blockchain technology, combining immutability, decentralised governance, and smart contract automation, has emerged as a candidate infrastructure for addressing verification deficits across multi-tier supply chains. To our knowledge, no prior systematic review has simultaneously examined the blockchain specifically for formal ESG transparency and sustainability reporting across all three ESG dimensions within the post-CSRD mandatory reporting landscape. This study presents a systematic literature review (PRISMA 2020). Scopus and Web of Science searches identified 1166 records (2016–2026); after deduplication, 761 unique records were screened, and after blinded screening (κ = 0.84), 96 studies were included. Five blockchain application typologies are identified (T1–T5), spanning provenance tracing, smart contract compliance, carbon accounting, supplier data aggregation, and ESG disclosure systems. A structural asymmetry is identified: governance is addressed in 96% of studies (77.1% under the strictest G-CONFIRMED recoding; 95.8% under the moderate interpretation, including borderline cases), the environmental pillar in 49%, and the social dimension in 21%, explained through institutional theory, with significant implications for CSRD and Corporate Sustainability Due Diligence Directive (CSDDD). Key barriers include scalability, interoperability, and the blockchain–GDPR (General Data Protection Regulation) tension. Three principal contributions are made: (i) a systematic typology of blockchain for ESG transparency; (ii) institutional-theory explanation of ESG dimension asymmetry; and (iii) a research agenda centred on AI–blockchain convergence and post-CSRD empirical studies. The review is limited to English-language peer-reviewed literature. Full article

(This article belongs to the Topic Intelligent and Advanced Digital Technologies Enabling Sustainable and Viable Supply Chain and Logistics Ecosystems)

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