Special Issue: Data-driven supply chain models: Strengthening the value chain through the digital information

Guest Editor

Prof. Giuseppe Aiello
Department of Engineering - University of Palermo, Viale delle scienze ed. 8, 90128 Palermo, Italy
Email: giuseppe.aiello03@unipa.it

Manuscript Topics


With the advent of industry 4.0, the spread of sensing and monitoring technologies has fostered the development of new information-driven supply chain models. While IoT and sensor networks have become pervasive in the last decade, supply chain management and decision-making processes still appear outdated and somewhat inadequate to fully exploit the potential of digital information and knowledge. One of the big challenges for the new millennium is thus to integrate digital information into supply chain management and decision-making processes at the strategic, tactical, and operational levels in order to fully exploit digital information’s potential for strengthening the value chain. Recent examples in such regard can be traced in the procurement decisions based on quasi-real-time forecasts experienced in the healthcare supply chain during the covid-19 pandemic or in the development of precision agriculture in globalized agro-industrial supply chains. The special issue aims at collecting research contributions focused on such topics, proposing new supply chain frameworks and business models capable of exploiting the value of digital information for more efficient, effective, and sustainable supply chains.


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Paper Submission

All manuscripts will be peer-reviewed before their acceptance for publication. The deadline for manuscript submission is 30 March 2024

Published Papers(6)

Research article
A trading matching model for aquatic products based on blockchain and credit mechanisms
Wenjuan Wang Deqiang Teng Ming Chen Yan Ge Yibo Zou
2023, Volume 20, Issue 11: 19732-19762. doi: 10.3934/mbe.2023874
Abstract HTML PDF Cited (1) Viewed (1549)
Research article
Determinants of consumer intention to adopt a self-service technology strategy for last-mile delivery in Guangzhou, China
Song Liu Gusong Luo Yonglong Cai Wenjie Wu Weitao Liu Rong Zou Wenxuan Tan
2024, Volume 21, Issue 2: 3262-3280. doi: 10.3934/mbe.2024144
Abstract HTML PDF Viewed (1418)
Research article
A new Monte Carlo sampling method based on Gaussian Mixture Model for imbalanced data classification
Gang Chen Binjie Hou Tiangang Lei
2023, Volume 20, Issue 10: 17866-17885. doi: 10.3934/mbe.2023794
Abstract HTML PDF Viewed (1885)
Research article
A strategy for predicting waste production and planning recycling paths in e-logistics based on improved EMD-LSTM
Shujuan Liu Hui Jin Yanbiao Di
2023, Volume 20, Issue 9: 17569-17588. doi: 10.3934/mbe.2023780
Abstract HTML PDF Viewed (1532)
Research article
Does supply chain finance business model innovation improve capital allocation efficiency? Evidence from the cost of capital
Ping Wang Rui Chen Qiqing Huang
2023, Volume 20, Issue 9: 16421-16446. doi: 10.3934/mbe.2023733
Abstract HTML PDF Cited (5) Viewed (2332)
Research article
Location optimization of fresh food e-commerce front warehouse
Dezheng Zhang Shuai Chen Na Zhou Pu Shi
2023, Volume 20, Issue 8: 14899-14919. doi: 10.3934/mbe.2023667
Abstract HTML PDF Cited (2) Viewed (2548)