ASTM WK94461
New Classification for Evaluating and Differentiating Enabling and Emerging Technologies in the Digital Supply Chain
1. Scope
This classification provides a structured framework for identifying, categorizing, and evaluating Critical Emerging Technologies (CETs) that influence the supply chain ecosystem. Rather than focusing solely on operational components such as logistics, procurement, inventory management, traceability, and digital transformation, this classification takes a broader perspective—encompassing technologies that impact both supply and demand dynamics within the Goods Movement Process (GMP) in F3682. By considering CETs that enhance efficiency, resilience, and adaptability across interconnected supply chain functions, this classification ensures a comprehensive approach to technology evaluation. CETs will be systematically grouped based on shared characteristics such as functionality, maturity, scalability, interoperability, and regulatory alignment, providing a standardized methodology for assessing their role in supply chain innovation. This classification serves as the foundation for an automated tool designed to operationalize and display the knowledge structured through the classification of Critical Emerging Technologies (CETs), specifically in relation to their applicability to defined supply chain use cases. A standardized rubric will function as the activation mechanism within the tool—driving the evaluation process by mapping input data and contextual parameters to structured decision outputs that are modeled in the ontology-driven knowledge graph, creating a digital twin of the evaluation process. To assess the performance of the classification and tool, key measurements will include: Accuracy – the degree to which CETs are correctly identified and categorized relative to expert or validated ground truth data; Fluency – the clarity and coherence of the outputs generated from the rubric-based evaluation; Latency – the response time required to retrieve and process CET classifications based on specific queries; Duration – the time span over which the tool maintains consistent performance across multiple evaluations and updates. Additional performance indicators will include alignment with regulatory frameworks, relevance to current industry needs, and the tool’s ability to adapt to new CETs through the updating of the underlying ontology and knowledge graph. The classification emphasizes technologies that are actively emerging and exhibit measurable impact on supply chain efficiency, security, sustainability, and resilience. The evaluation process is structured within an automated framework that leverages an ontology-driven knowledge graph to enable dynamic querying and classification of CETs. This approach facilitates comparative differentiation, ensures alignment with industry and regulatory frameworks, and provides data-driven insights to support stakeholder decision-making. The resulting data model underpins the automated tool, allowing for real-time analysis and intelligent recommendations on the applicability of emerging technologies to diverse supply chain scenarios. This standard is intended for use by supply chain professionals, technology providers, policymakers, and regulatory bodies to enhance technology adoption strategies and risk assessment.Keywords
Emerging Technology Assessment; Technology Adoption Framework; Digital Supply Chain; Goods Movement Technologies; Ontology-Based Evaluation; Digital Twin for Supply Chain; AI-Driven Supply Chain Analytics; Ontology-Based Knowledge GraphRationale
The rapid pace of both emerging technologies and technologies that enable the digital supply chain present challenges in assessing their relevance, feasibility, and impact on the supply chain. Businesses, policymakers, and industry stakeholders lack a standardized framework to systematically evaluate and differentiate Critical Emerging Technologies (CETs). As supply chains become increasingly complex and data-driven, the absence of an automated, ontology-based classification tool limits the ability to efficiently analyze and contextualize emerging technologies in relation to specific use cases, hindering strategic decision-making. Without a structured classification, decision-makers face difficulties in aligning technology adoption with industry needs, regulatory requirements, and long-term supply chain strategies. This classification will provide a systematic framework to identify, categorize, and evaluate CETs based on defined characteristics such as functionality, maturity, adoption potential, and regulatory considerations. By using a structured rubric, the classification will support: Comparative Differentiation: Enabling stakeholders to assess technologies based on objective criteria. Industry and Regulatory Alignment: Assisting organizations in aligning technology adoption with evolving industry standards and compliance requirements. Decision-Making Support: Providing a data-driven approach to guide risk assessment and strategic planning in supply chain innovation. The classification will serve as a foundational tool for organizations looking to assess and integrate emerging technologies, ensuring the adoption of solutions that provide measurable benefits and long-term viability. The primary users of this classification are stakeholders involved in or affected by the identification, categorization, and evaluation of Critical Emerging Technologies (CETs) within the supply chain ecosystem. These users include: Buyers, Sellers, Consignees, and Consignors – Primary actors in the exchange of goods who rely on emerging technologies to improve transaction visibility, compliance, and operational efficiency across the digital supply chain. Supply Chain Professionals, such as procurement officers, logistics managers, and operations leaders responsible for selecting and implementing emerging technologies. Technology Providers and Developers, who require standardized criteria to assess and demonstrate the relevance, readiness, and impact of their innovations. Regulatory Agencies and Policymakers, who oversee the alignment of technology adoption with compliance, safety, and public policy objectives. Industry Associations and Standards Bodies, which support consistency, interoperability, and best practices in supply chain operations. Analysts and Strategists, who evaluate market trends and supply chain innovation strategies. Stakeholder roles and classifications referenced here are aligned with the definitions provided in WK88967 – Stakeholders Terminology, which offers a common framework for identifying and understanding stakeholders from across supply chain and goods movement process activities.
Work Item Status
Date Initiated: 04-08-2025
Technical Contact: Servio Palacios
Item: 000
Ballot:
Status: