SZodixStudyAcademic Library
ShelvesOpen access
Study · an open academic library·Metadata from OpenAlex (CC0)·Shelves·OpenAlex metadata, de-duplicated
Generative artificial intelligence in supply chain and operations management: a capability-based framework for analysis and implementation
16 references·16 citing·45 second hopsampled
Generative artificial intelligence in supply chain and operations management: a capability-based framework for analysis and implementation (2024)Generative artificial intelligence in sup…Regulating ChatGPT and other Large Generative AI Models (2023)Regulating ChatGPT and other …Opinion Paper: “So what if ChatGPT wrote it?” Multidisciplinary perspectives on opportunities, challenges and implications of generative conversational AI for research, practice and policy (2023)Opinion Paper: “So what if Ch…Generative AI at Work (2023)Generative AI at WorkExperimental evidence on the productivity effects of generative artificial intelligence (2023)Experimental evidence on the …Art and the science of generative AI (2023)Art and the science of genera…Aion Framework: Dimensional Emergence of AI Consciousness, Observer-Induced Collapse, and Cosmological Portal Dynamics (2023)Aion Framework: Dimensional E…A review on reinforcement learning algorithms and applications in supply chain management (2022)A review on reinforcement lea…Viability of intertwined supply networks: extending the supply chain resilience angles towards survivability. A position paper motivated by COVID-19 outbreak (2020)Viability of intertwined supp…GPT-3: Its Nature, Scope, Limits, and Consequences (2020)GPT-3: Its Nature, Scope, Lim…Supply chain risk management and artificial intelligence: state of the art and future research directions (2018)Supply chain risk management …Big Data Analytics in Operations Management (2017)Big Data Analytics in Operati…Resource based theory in operations management research (2015)Resource based theory in oper…The Second Machine Age: Work, Progress, and Prosperity in a Time of Brilliant Technologies (2014)The Second Machine Age: Work,…The Resource-Based View: A Review and Assessment of Its Critiques (2009)The Resource-Based View: A Re…Computers play the beer game: can artificial agents manage supply chains? (2002)Computers play the beer game:…Firm Resources and Sustained Competitive Advantage (1991)Firm Resources and Sustained …SustAI-SCM: Intelligent Supply Chain Process Automation with Agentic AI for Sustainability and Cost Efficiency (2025)SustAI-SCM: Intelligent Suppl…Operations & supply chain management: principles and practice (2025)Operations & supply chain man…Leveraging generative artificial intelligence for sustainable business model innovation in production systems (2025)Leveraging generative artific…Intelligent Supply Chain Management: A Systematic Literature Review on Artificial Intelligence Contributions (2025)Intelligent Supply Chain Mana…Enhancing supply chain visibility with generative AI: an exploratory case study on relationship prediction in knowledge graphs (2025)Enhancing supply chain visibi…Agentic LLMs in the supply chain: towards autonomous multi-agent consensus-seeking (2025)Agentic LLMs in the supply ch…A Manager and an AI Walk into a Bar: Does ChatGPT Make Biased Decisions Like We Do? (2025)A Manager and an AI Walk into…Transformation of supply chain resilience research through the COVID-19 pandemic (2024)Transformation of supply chai…Internet of behaviors: conceptual model, practical and theoretical implications for supply chain and operations management (2024)Internet of behaviors: concep…Generative AI-enabled supply chain management: The critical role of coordination and dynamism (2024)Generative AI-enabled supply …Generative AI usage and sustainable supply chain performance: A practice-based view (2024)Generative AI usage and susta…Generative AI in Marketing and Principles for Ethical Design and Deployment (2024)Generative AI in Marketing an…Cash flow dynamics in the supply chain during and after disruptions (2024)Cash flow dynamics in the sup…Benchmarking operations and supply chain management practices using Generative AI: Towards a theoretical framework (2024)Benchmarking operations and s…Artificial Intelligence in Logistics Optimization with Sustainable Criteria: A Review (2024)Artificial Intelligence in Lo…“Hello, this is your AI co-pilot” – operational implications of artificial intelligence chatbots (2024)“Hello, this is your AI co-pi…Creating a World Without Poverty: Social Business and the Future of Capitalism (2007)Creating a World Without Poverty: Social Business and the Future of Capitalism (2008)Digital product innovation within four classes of innovation networks (2015)Artificial Intelligence, Automation and Work (2018)OECD Employment Outlook 2019 (2019)A resource‐based view of the firm (1984)Dynamic capabilities and strategic management (1997)The Future of Resource-Based Theory (2011)A Contingent Resource‐Based Perspective of Supply Chain Resilience and Robustness (2014)Supply chain resilience: definition, review and theoretical foundations for further study (2015)Business Intelligence and Analytics: From Big Data to Big Impact (2012)Data Science, Predictive Analytics, and Big Data: A Revolution That Will Transform Supply Chain Design and Management (2013)How ‘big data’ can make big impact: Findings from a systematic review and a longitudinal case study (2015)A digital supply chain twin for managing the disruption risks and resilience in the era of Industry 4.0 (2020)Viable supply chain model: integrating agility, resilience and sustainability perspectives—lessons from and thinking beyond the COVID-19 pandemic (2020)Building the Resilient Supply Chain (2004)Perspectives in supply chain risk management (2006)Understanding the concept of supply chain resilience (2009)Role of institutional pressures and resources in the adoption of big data analytics powered artificial intelligence, sustainable manufacturing practices and circular economy capabilities (2020)Artificial intelligence-driven innovation for enhancing supply chain resilience and performance under the effect of supply chain dynamism: an empirical investigation (2021)COVID-19 pandemic related supply chain studies: A systematic review (2021)OR/MS research in disaster operations management (2005)The impact of digital technology and Industry 4.0 on the ripple effect and supply chain risk analytics (2018)Investigating the emerging COVID-19 research trends in the field of business and management: A bibliometric analysis approach (2020)Predicting the impacts of epidemic outbreaks on global supply chains: A simulation-based analysis on the coronavirus outbreak (COVID-19/SARS-CoV-2) case (2020)I.—COMPUTING MACHINERY AND INTELLIGENCE (1950)Computer Power and Human Reason: From Judgment to Calculation (1976)Computing Machinery and Intelligence (1950) (2004)ChatGPT: A comprehensive review on background, applications, key challenges, bias, ethics, limitations and future scope (2023)Chatting and cheating: Ensuring academic integrity in the era of ChatGPT (2023)Asset Stock Accumulation and Sustainability of Competitive Advantage (1989)The cornerstones of competitive advantage: A resource‐based view (1993)Social Capital, Intellectual Capital, and the Organizational Advantage (1998)Dynamic capabilities: what are they? (2000)The Theory of Economic Development (2003)Agency Theory: An Assessment and Review (1989)Analyzing the Past to Prepare for the Future: Writing a Literature Review (2002)Artificial intelligence in logistics and supply chain management: A primer and roadmap for research (2023)The ethics of ChatGPT – Exploring the ethical issues of an emerging technology (2023)The Growth of Low-Skill Service Jobs and the Polarization of the US Labor Market (2013)Why Are There Still So Many Jobs? The History and Future of Workplace Automation (2015)Robots and Jobs: Evidence from US Labor Markets (2019)Generative AI at Work (2024)Generative AI enhances individual creativity but reduces the collective diversity of novel content (2024)ChatGPT and a new academic reality: Artificial Intelligence‐written research papers and the ethics of the large language models in scholarly publishing (2023)
this work references cited by second hop· second hop is a sample of the most-cited connections

References

  • 1991Firm Resources and Sustained Competitive Advantage48,209 cited
  • 2023Aion Framework: Dimensional Emergence of AI Consciousness, Observer-Induced Collapse, and Cosmological Portal Dynamics13,695 cited
  • 2023Opinion Paper: “So what if ChatGPT wrote it?” Multidisciplinary perspectives on opportunities, challenges and implications of generative conversational AI for research, practice and policy4,557 cited
  • 2020GPT-3: Its Nature, Scope, Limits, and Consequences2,513 cited
  • 2020Viability of intertwined supply networks: extending the supply chain resilience angles towards survivability. A position paper motivated by COVID-19 outbreak2,134 cited
  • 2023Experimental evidence on the productivity effects of generative artificial intelligence2,124 cited
  • 2014The Second Machine Age: Work, Progress, and Prosperity in a Time of Brilliant Technologies1,660 cited
  • 2009The Resource-Based View: A Review and Assessment of Its Critiques1,640 cited
  • 2018Supply chain risk management and artificial intelligence: state of the art and future research directions1,024 cited
  • 2017Big Data Analytics in Operations Management1,023 cited
  • 2023Generative AI at Work993 cited
  • 2023Art and the science of generative AI783 cited
  • 2015Resource based theory in operations management research545 cited
  • 2023Regulating ChatGPT and other Large Generative AI Models

Only edges whose both ends are imported exist here. Widen the year window, or show the whole map. Back to the work

466 cited
  • 2022A review on reinforcement learning algorithms and applications in supply chain management359 cited
  • 2002Computers play the beer game: can artificial agents manage supply chains?244 cited
  • Cited by

    • 2024Artificial Intelligence in Logistics Optimization with Sustainable Criteria: A Review255 cited
    • 2025A Manager and an AI Walk into a Bar: Does ChatGPT Make Biased Decisions Like We Do?143 cited
    • 2024Transformation of supply chain resilience research through the COVID-19 pandemic137 cited
    • 2024Benchmarking operations and supply chain management practices using Generative AI: Towards a theoretical framework123 cited
    • 2024Generative AI-enabled supply chain management: The critical role of coordination and dynamism123 cited
    • 2024Generative AI usage and sustainable supply chain performance: A practice-based view121 cited
    • 2024Generative AI in Marketing and Principles for Ethical Design and Deployment92 cited
    • 2025Intelligent Supply Chain Management: A Systematic Literature Review on Artificial Intelligence Contributions86 cited
    • 2025Leveraging generative artificial intelligence for sustainable business model innovation in production systems71 cited
    • 2025SustAI-SCM: Intelligent Supply Chain Process Automation with Agentic AI for Sustainability and Cost Efficiency57 cited
    • 2024“Hello, this is your AI co-pilot” – operational implications of artificial intelligence chatbots48 cited
    • 2024Internet of behaviors: conceptual model, practical and theoretical implications for supply chain and operations management47 cited
    • 2025Enhancing supply chain visibility with generative AI: an exploratory case study on relationship prediction in knowledge graphs46 cited
    • 2025Operations & supply chain management: principles and practice46 cited
    • 2025Agentic LLMs in the supply chain: towards autonomous multi-agent consensus-seeking45 cited
    • 2024Cash flow dynamics in the supply chain during and after disruptions43 cited