EconPapers    
Economics at your fingertips  
 

Barriers to Visibility in Supply Chains: Challenges and Opportunities of Artificial Intelligence Driven by Industry 4.0 Technologies

Fernanda Delgado (), Susana Garrido and Barbara Stolte Bezerra
Additional contact information
Fernanda Delgado: Production Engineering Department, São Paulo State University, Bauru 17033-360, Brazil
Susana Garrido: Centre for Business and Economics Research (CEBER), Coimbra University, 3004-512 Coimbra, Portugal
Barbara Stolte Bezerra: Civil Engineering Department, São Paulo State University, Bauru 17033-360, Brazil

Sustainability, 2025, vol. 17, issue 7, 1-20

Abstract: Advancements in e-commerce and Industry 4.0 technologies have significantly improved communication and connectivity in supply chains. These technologies, particularly artificial intelligence driven by Industry 4.0 technologies (AI-IT4.0), have reshaped how products, services, and financial transactions are managed, emphasizing the importance of information sharing among supply chain participants to enhance inventory management, sales, and demand forecasting. However, sharing comprehensive information across supply chain stakeholders presents persistent challenges due to various barriers. This study seeks to review the current understanding of visibility barriers in supply chains, identify key obstacles, and suggest directions for future research. Using the PRISMA methodology, the study analyzed 20 articles, identifying 12 critical barriers to visibility. Bibliometric analysis has revealed growing interest in the topic since 2021, although evidence of collaborative research remains limited. A keyword co-occurrence analysis highlighted strong connections between visibility, supply chain management, sustainability, and artificial intelligence driven by industry 4.0 technologies, such as machine learning, predictive analytics, and digital twins. Future research should empirically investigate visibility barriers and explore the interplay between AI-TI4.0, visibility, and sustainable performance through case studies and quantitative approaches.

Keywords: barriers; supply chain visibility; artificial intelligence; Industry 4.0 technologies; information sharing; supply chain management (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2025
References: Add references at CitEc
Citations:

Downloads: (external link)
https://www.mdpi.com/2071-1050/17/7/2998/pdf (application/pdf)
https://www.mdpi.com/2071-1050/17/7/2998/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jsusta:v:17:y:2025:i:7:p:2998-:d:1622230

Access Statistics for this article

Sustainability is currently edited by Ms. Alexandra Wu

More articles in Sustainability from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().

 
Page updated 2025-03-28
Handle: RePEc:gam:jsusta:v:17:y:2025:i:7:p:2998-:d:1622230