Knowledge Mapping of Resilience and Human Rights in Supply Chains: A Roadmapping Taxonomy for Twin Green and Digital Transition Design
Abstract
Supply chain sustainability has gone beyond the sustainability-performance towards sustainability-practice approach, and how can digital technologies enhance such sustainability-practice approach for improving resilience and human rights, especially as part of the green and digital twin transition after the Covid-19 pandemic? To enrich the sustainability-practice approach with digital, resilient, and human labor considerations, the paper has conducted a roadmapping exercise based on knowledge mapping on the topic. The knowledge dataset was collected in late December 2022 from the Web of Science Core Collection. By mapping the current supply chain knowledge in the dimensions of resilience, human rights, and digital technologies, the knowledge mapping results, including the intellectual and conceptual structure and the main concepts and ideas, form the basis for the roadmapping taxonomy proposed in the paper. The taxonomy highlights the importance of dynamics capabilities facing supply chain disruptions, especially their ripple effects, along with the corresponding digital technologies to enhance the human social dynamics in facing such disruptions. The proposed taxonomy synthesized the knowledge of practices and theories learned from the major impact of Covid-19 in shaping supply chain practices with the help of digital technologies and human cooperation. By providing a people- and community-centric knowledge-based framework and relevant managerial insights, as the main contribution of the research, the taxonomy should help professionals and researchers to enhance their understanding of resilience in designing and implementing digital solutions that shape actions and interactions that are articulated and circulated in networked, digitized, and datafied forms, with the ultimate purpose to improve the supply chain and operations practices for sustainability.
Chung-Lien Pan (潘仲亷)
CFO/COO
He continuously work in the area of FinTech, including the cross-disciplinary work in the area of green digital transformation with the team members of the university-level GDT for Green and Digital Transformation and the ESG Data-Driven Decisions Lab at Nanfang College-Guangzhou, formally known as Nanfang College of Sun-Yat Sen University.
Han-Teng Liao
Lead Data Scientist
研发兴趣包括 数字化绿色化双化转型﹑碳中和 数智平台﹑及 人工智能科技向善。 My research interests include twin green digital transition, carbon neutrality, and Artificial Intelligence for Good.