@inproceedings{angScopingReviewAIforthcominga,
  title = {Scoping {{Review}} of {{AI}}, {{Metrology}}, and {{ESG}} in the {{Semiconductor Sector}}: {{Implications}} for {{Safe}} and {{Sustainable}} by {{Design}} ({{SSbD}})},
  booktitle = {2026 {{IEEE International Conference}} on {{Engineering}}, {{Technology}}, and {{Innovation}} ({{ICE}}/{{ITMC}})},
  author = {Ang, Karen and Liao,, Han-Teng},
  year = {forthcoming},
  issn = {2693-8855},
  abstract = {ID 286  The semiconductor sector faces a dual transition: scaling manufacturing execution through Artificial Intelligence (AI) while satisfying stringent sustainability mandates, such as the EU Carbon Border Adjustment Mechanism (CBAM). This paper presents a scoping review of 1,465 documents indexed in Web of Science and Scopus, spanning AI-integrated metrology, supply chain ESG, and federated industrial data spaces. Network analysis reveals a highly fragmented "core-periphery" knowledge structure, emphasizing a critical structural hole between AI-driven process optimization and downstream sustainability governance. To close these gaps, this study proposes a 6-layer Safe and Sustainable by Design (SSbD) architecture grounded in a System of Systems (SoS) paradigm. By establishing distinct "grid-to-core" and "standards-through-supply-chain" integration pathways, the proposed framework demonstrates how virtual metrology (VM), localized federated learning, and defensive RegTech mechanisms can build provenance-aware data fabrics. Ultimately, this architecture positions regulatory compliance as a driver for innovation, enabling secure, climate-neutral, and circular value chains in semiconductor manufacturing. Keywords---Interoperability; RegTech; Sustainability Standards; Semiconductor Manufacturing; Artificial Intelligence; Metrology; ESG Compliance},
  keywords = {Artificial intelligence,Digital transformation,Digital Transformation,Industries,Innovation Trends,Keyword Analysis,Market research,SLR,Sustainability in Technology,Sustainable development,Systematic literature review,Technological innovation}
}

@misc{liaoOrchestratingTwinTransition2026,
  title = {Orchestrating the {{Twin Transition}} in {{Multinational Corporations}}: {{Technology Roadmapping}} for {{Green}} and {{Digital Global Business Services}}},
  shorttitle = {Orchestrating the {{Twin Transition}} in {{Multinational Corporations}}},
  author = {Liao, Han-Teng and Ang, Karen},
  year = 2026,
  month = jun,
  number = {ktcxd\_v1},
  publisher = {SocArXiv},
  doi = {10.31235/osf.io/ktcxd_v1},
  urldate = {2026-06-08},
  abstract = {Global Business Services (GBS) have emerged as a "living laboratory" for the Twin Transition of Green and Digital Transformation, as multinational corporations (MNCs) face increasing pressure to harmonize digital efficiency with environmental stewardship. Aiming to derive a socio-technical framework, this paper synthesizes Technology Roadmapping (TRM) with the International Telecommunication Union (ITU) ICT-centric innovation ecosystem toolkit. A bibliometric analysis of research clusters reveals an evolutionary shift from basic process automation toward "Sustainable Intelligence," identifying the GBS unit as a central "operational airlock" that mediates between landscape pressures---such as the EU's dual mandate and Carbon Border Adjustment Mechanisms---and niche innovations in AI-native workflows. The study further maps these clusters onto a stakeholder engagement canvas, highlighting how resilient "Middle Power" hubs in Poland, Portugal, and Malaysia are bypassing the middle-income trap to provide a "third way" for global value chains amidst a bifurcated geopolitical cloud. The results offer a data-driven design approach for leaders and entrepreneurial support networks to orchestrate talent and supply chain flows, thereby enriching the conceptual understanding of Industry 5.0 and the role of GBS as a primary mechanism for navigating a volatile, multipolar digital economy.},
  keywords = {Business process,Industry 5.0,Innovation management,Strategic planning,Technology management},
  file = {W:\Zotero\storage\TE7ILT3Y\Liao and Ang - 2026 - Orchestrating the Twin Transition in Multinational Corporations Technology Roadmapping for Green an.pdf}
}

@inproceedings{liaoOrchestratingTwinTransitionforthcoming,
  title = {Orchestrating the {{Twin Transition}} in {{Multinational Corporations}}: {{Technology Roadmapping}} for {{Green}} and {{Digital Global Business Services}}},
  booktitle = {2026 {{IEEE International Conference}} on {{Engineering}}, {{Technology}}, and {{Innovation}} ({{ICE}}/{{ITMC}})},
  author = {Liao,, Han-Teng and Ang, Karen},
  year = {forthcoming},
  issn = {2693-8855},
  abstract = {ID 306  Global Business Services (GBS) have emerged as a critical "living laboratory" for the Twin Transition of Green and Digital Transformation, as multinational corporations (MNCs) face increasing pressure to harmonize digital efficiency with environmental stewardship. Aiming to derive a rigorous socio-technical framework for this transition, this paper synthesizes Technology Roadmapping (TRM) with the International Telecommunication Union (ITU) ICT-centric innovation ecosystem toolkit. A longitudinal bibliometric analysis of research clusters reveals an evolutionary shift from basic process automation toward "Sustainable Intelligence," identifying the GBS unit as a central "operational airlock" that mediates between landscape pressures---such as the EU's dual mandate and Carbon Border Adjustment Mechanisms---and niche innovations in AI-native workflows. The study further maps these clusters onto a stakeholder engagement canvas, highlighting how resilient "Middle Power" hubs in Poland, Portugal, and Malaysia are bypassing the middle-income trap to provide a "third way" for global value chains amidst a bifurcated geopolitical cloud. The results offer a data-driven design approach for leaders and entrepreneurial support networks to orchestrate talent and supply chain flows, thereby enriching the conceptual understanding of Industry 5.0 and the role of GBS as a primary mechanism for navigating a volatile, multipolar digital economy. Keywords---Innovation ecosystems, Technology roadmapping, Global Business Services (GBS), Industry 5.0, Twin Transition},
  keywords = {Artificial intelligence,Digital transformation,Digital Transformation,Industries,Innovation Trends,Keyword Analysis,Market research,SLR,Sustainability in Technology,Sustainable development,Systematic literature review,Technological innovation}
}

@misc{liaoScopingReviewAI2026,
  title = {Scoping {{Review}} of {{AI}}, {{Metrology}}, and {{ESG}} in the {{Semiconductor Sector}}: {{Implications}} for {{Safe}} and {{Sustainable}} by {{Design}} ({{SSbD}})},
  shorttitle = {Scoping {{Review}} of {{AI}}, {{Metrology}}, and {{ESG}} in the {{Semiconductor Sector}}},
  author = {Ang, Karen and Liao, Han-Teng},
  year = 2026,
  month = jun,
  number = {yknwt\_v1},
  publisher = {SocArXiv},
  doi = {10.31235/osf.io/yknwt_v1},
  urldate = {2026-06-08},
  abstract = {The semiconductor sector faces a dual transition: scaling manufacturing execution through Artificial Intelligence (AI) while satisfying stringent sustainability mandates, such as the EU Carbon Border Adjustment Mechanism (CBAM). This paper presents a scoping review of 1,465 documents indexed in Web of Science and Scopus, spanning AI-integrated metrology, supply chain ESG, and federated industrial data spaces. Network analysis reveals a highly fragmented "core-periphery" knowledge structure, emphasizing a critical structural hole between AI-driven process optimization and downstream sustainability governance. To close these gaps, this study proposes a 6-layer Safe and Sustainable by Design (SSbD) architecture grounded in a System of Systems (SoS) paradigm. By establishing distinct "grid-to-core" and "standards-through-supply-chain" integration pathways, the proposed framework demonstrates how virtual metrology (VM), localized federated learning, and defensive RegTech mechanisms can build provenance-aware data fabrics. Ultimately, this architecture positions regulatory compliance as a driver for innovation, enabling secure, climate-neutral, and circular value chains in semiconductor manufacturing.},
  keywords = {Artificial Intelligence,Digital Twins,FinTech,Industry 5.0,Interoperability,Lifecycle Assessment,RegTech},
  file = {W:\Zotero\storage\QAVB5B9K\Ang and Liao - 2026 - Scoping Review of AI, Metrology, and ESG in the Semiconductor Sector Implications for Safe and Sust.pdf}
}

@misc{liaoStacksCircuitsRegenerative2026,
  title = {From {{Stacks}} to {{Circuits}}: {{A Regenerative Socio-Technical Roadmap}} for {{AI Infrastructure}} within {{Planetary Boundaries}}},
  shorttitle = {From {{Stacks}} to {{Circuits}}},
  author = {Liao, Han-Teng and Ang, Karen},
  year = 2026,
  month = jun,
  number = {hyrj7\_v1},
  eprint = {hyrj7\_v1},
  publisher = {Accounting Research \& Thought},
  urldate = {2026-06-08},
  abstract = {Current scaling trajectories for Generative AI, typified by linear supply-side "stacks," prioritize performance density while externalizing significant thermodynamic and material costs. As the "Twin Transition" of green and digital transformation accelerates, the industry faces technology gaps---including Scope 3 emissions and e-waste recycling---that impede sustainable scaling and lead to social tensions. This study proposes a Regenerative Socio-Technical roadmap that repurposes the Sustainable Production and Consumption system map to reframe artificial intelligence infrastructure as a system-of-systems governed ultimately by planetary limits. By integrating the Institute of Electrical and Electronics Engineers International Roadmap for Devices and Systems (IEEE IRDS) sustainability considerations for semiconductor facilities, the study proposes a metabolic circuit framework that centers "Values and Needs" within production and consumption relationship loops. This study identifies critical gaps in current Nvidia-centric roadmaps and proposes a competing reference architecture. It demonstrates how a spontaneous order of resource parsimony and planetary accountability can provide an actionable pathway for regulatory compliance and industrial resilience in the digital circular economy.},
  archiveprefix = {Accounting Research \& Thought},
  keywords = {carbon emission,Circular Economy,energy accounting,FinTech,regenerative accounting,RegTech,Triple Bottom Line},
  file = {W:\Zotero\storage\473CR9LK\Liao and Ang - 2026 - From Stacks to Circuits A Regenerative Socio-Technical Roadmap for AI Infrastructure within Planeta.pdf}
}

@inproceedings{liaoStacksCircuitsRegenerativeforthcoming,
  title = {From {{Stacks}} to {{Circuits}}: {{A Regenerative Socio-Technical Roadmap}} for {{AI Infrastructure}} within {{Planetary Boundaries}}},
  booktitle = {2026 {{IEEE International Conference}} on {{Engineering}}, {{Technology}}, and {{Innovation}} ({{ICE}}/{{ITMC}})},
  author = {Liao,, Han-Teng and Ang, Karen},
  year = {forthcoming},
  issn = {2693-8855},
  abstract = {ID 401   Current scaling trajectories for Generative AI, typified by linear supply-side "stacks," prioritize performance density while externalizing significant thermodynamic and material costs. As the "Twin Transition" of green and digital transformation accelerates, the industry faces technology gaps---including Scope 3 emissions and e-waste recycling---that impede sustainable scaling and lead to social tensions. This study proposes a Regenerative Socio-Technical roadmap that repurposes the Sustainable Production and Consumption system map to reframe artificial intelligence infrastructure as a system-of-systems governed ultimately by planetary limits. By integrating the Institute of Electrical and Electronics Engineers International Roadmap for Devices and Systems (IEEE IRDS) sustainability considerations for semiconductor facilities, the study proposes a metabolic circuit framework that centers "Values and Needs" within production and consumption relationship loops. This study identifies critical gaps in current Nvidia-centric roadmaps and proposes a competing reference architecture. It demonstrates how a spontaneous order of resource parsimony and planetary accountability can provide an actionable pathway for regulatory compliance and industrial resilience in the digital circular economy. Keywords--- Carbon emissions; Environmental management; Green manufacturing; Circular Economy; Roadmapping; Socio-Technical Systems; Scalability; Twin Transition},
  keywords = {Artificial intelligence,Digital transformation,Digital Transformation,Industries,Innovation Trends,Keyword Analysis,Market research,SLR,Sustainability in Technology,Sustainable development,Systematic literature review,Technological innovation}
}