Reviewing the Roles of AI-Integrated Technologies in Sustainable Supply Chain Management: Research Propositions and a Framework for Future Directions.

C Qu, E Kim - Sustainability (2071-1050), 2024 - search.ebscohost.com
In the post-pandemic era, the uncertain global market and rising social-environmental
issues drive organizations to adapt their supply chain strategies to more dynamic, flexible …

Resilient and sustainable supplier selection: an integration of SCOR 4.0 and machine learning approach

MM Khan, I Bashar, GM Minhaj, AI Wasi… - Sustainable and …, 2023 - Taylor & Francis
The purpose of this research paper is to implement a machine learning model with the
integration of the supply chain occupational reference (SCOR) model to develop an artificial …

Measuring the supply chain performance of the floricultural sector using the SCOR model and a multicriteria decision-making method

LO Rodríguez Mañay, I Guaita-Pradas… - Horticulturae, 2022 - mdpi.com
This study aims to highlight the usefulness of studying the performance of supply chains
(SC) at the sectoral level in greater detail through the combination of a disaggregated supply …

A tool for the semantic annotation, validation and optimization of business process models

B Di Martino, L Colucci Cante… - Software: Practice …, 2023 - Wiley Online Library
The adoption of the business process model notation for the description of internal
workflows and procedures by both public administrations and private organizations is …

Supply network 5.0 project

B Nicoletti - Supply Network 5.0: How to Improve Human …, 2023 - Springer
This chapter considers the supply network 5.0 project and the innovation models to help
realize it successfully. It also considers an innovation acceptance model to analyze all …

Measuring Supply Chain Performance as SCOR v13. 0-Based in Disruptive Technology Era: Scale Development and Validation

Ö Özkanlısoy, F Bulutlar - Logistics, 2023 - mdpi.com
Background: Supply chain performance measurement is an integral part of supply chain
management today, as it makes many critical contributions to supply chains, especially for …

Enhancing supply chain resilience through supervised machine learning: supplier performance analysis and risk profiling for a multi-class classification problem

PS Kang, B Bhawna - Business Process Management Journal, 2025 - emerald.com
Purpose This paper explores the application of supervised machine learning (ML)
classification models to address supplier performance analysis and risk profiling as a multi …

Measuring Supply Chain Performance for Khanh Hoa Sanest Soft Drink Joint Stock Company: An Application of the Supply Chain Operations Reference (SCOR) …

TAT Nguyen, TL Nguyen, QTT Nguyen, KAT Nguyen… - Sustainability, 2023 - mdpi.com
As Khanh Hoa Sanest Soft Drink Joint Stock Company attempts to satisfy consumer
requirements and maintain market share in the salangane nest industry, it is important to …

Identifying Digital Supply Chain Capabilities

J Ricárdez-Estrada, CL Garay-Rondero… - Procedia Computer …, 2024 - Elsevier
In the global manufacturing sector, the ever-increasing digital transformation of Supply
Chains (SCs) has become imperative, leading to building new digital and analytical …

Challenges for the Adoption of Industry 4.0 in the Sustainable Manufacturing Supply Chain

H Owolabi, L Juryte, L Akanbi - Industry 4.0 Technologies: Sustainable …, 2023 - Springer
This book chapter explores the challenges associated with adopting Industry 4.0
technologies in the context of achieving a sustainable manufacturing supply chain. The …