SZodixStudyAcademic Library
ShelvesOpen access
Study · an open academic library·Metadata from OpenAlex (CC0)·Shelves·OpenAlex metadata, de-duplicated
Barriers, Drivers, and Social Considerations for AI Adoption in Supply Chain Management: A Tertiary Study
16 references·3 citing·53 second hopsampled
Barriers, Drivers, and Social Considerations for AI Adoption in Supply Chain Management: A Tertiary Study (2022)Barriers, Drivers, and Social Considerati…The role of artificial intelligence in supply chain management: mapping the territory (2022)The role of artificial intell…Improving supply chain resilience through industry 4.0: A systematic literature review under the impressions of the COVID-19 pandemic (2021)Improving supply chain resili…Artificial intelligence in operations management and supply chain management: an exploratory case study (2021)Artificial intelligence in op…Artificial intelligence applications in supply chain management (2021)Artificial intelligence appli…Trends and applications of resilience analytics in supply chain modeling: systematic literature review in the context of the COVID-19 pandemic (2020)Trends and applications of re…Manufacturing and service supply chain resilience to the COVID-19 outbreak: Lessons learned from the automobile and airline industries (2020)Manufacturing and service sup…Artificial intelligence in supply chain management: A systematic literature review (2020)Artificial intelligence in su…Rulers of the world, unite! The challenges and opportunities of artificial intelligence (2019)Rulers of the world, unite! T…Circular supply chain management: A definition and structured literature review (2019)Circular supply chain managem…Supply chain risk management and artificial intelligence: state of the art and future research directions (2018)Supply chain risk management …In search of a circular supply chain archetype – a content-analysis-based literature review (2018)In search of a circular suppl…The future of employment: How susceptible are jobs to computerisation? (2016)The future of employment: How…Artificial intelligence in supply chain management: theory and applications (2009)Artificial intelligence in su…A typology of reviews: an analysis of 14 review types and associated methodologies (2009)A typology of reviews: an ana…From a literature review to a conceptual framework for sustainable supply chain management (2008)From a literature review to a…Towards a Methodology for Developing Evidence‐Informed Management Knowledge by Means of Systematic Review (2003)Towards a Methodology for Dev…Supply Chain Management: A Structured Narrative Review of Current Challenges and Recommendations for Action (2023)Supply Chain Management: A St…Exploring the antecedents of AI adoption for effective HRM practices in the Indian pharmaceutical sector (2023)Exploring the antecedents of …Enabling artificial intelligence for sustainable food grain supply chains: an agri 5.0 and circular economy perspective (2023)Enabling artificial intellige…Case Study Research: Design and Methods (1984)Case Study Research: Design and Methods (1991)Cannibals with forks: the triple bottom line of 21st century business (1999)An organizational theoretic review of green supply chain management literature (2010)Business models for sustainable innovation: state-of-the-art and steps towards a research agenda (2012)Green supply chain management: A review and bibliometric analysis (2015)Oxford English dictionary (2004)The Oxford English Dictionary Online (2004)Cochrane Handbook for Systematic Reviews of Interventions (2008)Scoping studies: advancing the methodology (2010)Systematic review or scoping review? Guidance for authors when choosing between a systematic or scoping review approach (2018)Literature review as a research methodology: An overview and guidelines (2019)Modeling Supply Chain Dynamics: A Multiagent Approach* (1998)Supply chain modeling: past, present and future (2002)Journal of Universal Computer Science (2020)Building supply-chain resilience: an artificial intelligence-based technique and decision-making framework (2021)Primary, Secondary, and Meta-Analysis of Research (1976)The New production of knowledge: the dynamics of science and research in contemporary societies (1995)Re-Thinking Science: Knowledge and the Public in an Age of Uncertainty (2003)Bibliometric Methods in Management and Organization (2014)How to conduct a bibliometric analysis: An overview and guidelines (2021)Judgment under Uncertainty (1982)Capitalism, Socialism and Democracy (1997)The Skill Content of Recent Technological Change: An Empirical Exploration (2003)Why Are There Still So Many Jobs? The History and Future of Workplace Automation (2015)Robots at Work (2018)Algorithms at Work: The New Contested Terrain of Control (2019)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)Content Analysis: An Introduction to its Methodology. (1984)A review on circular economy: the expected transition to a balanced interplay of environmental and economic systems (2015)A typology of circular start-ups: An Analysis of 128 circular business models (2019)Circular supply chain management: A state-of-art review and future opportunities (2020)Blockchain technology for bridging trust, traceability and transparency in circular supply chain (2021)Prospect Theory: An Analysis of Decision under Risk (1979)Prospect theory: An analysis of decision under risk (1988)Users of the world, unite! The challenges and opportunities of Social Media (2009)Influence of artificial intelligence on technological innovation: Evidence from the panel data of china's manufacturing sectors (2020)Rising with the machines: A sociotechnical framework for bringing artificial intelligence into the organization (2020)Artificial intelligence – challenges and opportunities for international HRM: a review and research agenda (2022)Fuzzy sets (1965)Qualitative Data Analysis: An Expanded Sourcebook (1994)Fuzzy sets (1996)Artificial intelligence and machine learning in finance: Identifying foundations, themes, and research clusters from bibliometric analysis (2021)Artificial intelligence for supply chain resilience: learning from Covid-19 (2021)Basics of Qualitative Research (1992)The impact of digital technology and Industry 4.0 on the ripple effect and supply chain risk analytics (2018)Viability of intertwined supply networks: extending the supply chain resilience angles towards survivability. A position paper motivated by COVID-19 outbreak (2020)Impact of supply chain digitalization on supply chain resilience and performance: A multi-mediation model (2023)
this work references cited by second hop· second hop is a sample of the most-cited connections

References

  • 2003Towards a Methodology for Developing Evidence‐Informed Management Knowledge by Means of Systematic Review15,354 cited
  • 2009A typology of reviews: an analysis of 14 review types and associated methodologies10,781 cited
  • 2016The future of employment: How susceptible are jobs to computerisation?8,693 cited
  • 2008From a literature review to a conceptual framework for sustainable supply chain management6,372 cited
  • 2018Supply chain risk management and artificial intelligence: state of the art and future research directions1,024 cited
  • 2020Artificial intelligence in supply chain management: A systematic literature review1,015 cited
  • 2019Circular supply chain management: A definition and structured literature review891 cited
  • 2020Manufacturing and service supply chain resilience to the COVID-19 outbreak: Lessons learned from the automobile and airline industries887 cited
  • 2019Rulers of the world, unite! The challenges and opportunities of artificial intelligence718 cited
  • 2009Artificial intelligence in supply chain management: theory and applications574 cited
  • 2021Artificial intelligence in operations management and supply chain management: an exploratory case study532 cited
  • 2020Trends and applications of resilience analytics in supply chain modeling: systematic literature review in the context of the COVID-19 pandemic530 cited
  • 2021Artificial intelligence applications in supply chain management

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

525 cited
  • 2021Improving supply chain resilience through industry 4.0: A systematic literature review under the impressions of the COVID-19 pandemic504 cited
  • 2018In search of a circular supply chain archetype – a content-analysis-based literature review440 cited
  • 2022The role of artificial intelligence in supply chain management: mapping the territory373 cited
  • Cited by

    • 2023Enabling artificial intelligence for sustainable food grain supply chains: an agri 5.0 and circular economy perspective56 cited
    • 2023Exploring the antecedents of AI adoption for effective HRM practices in the Indian pharmaceutical sector33 cited
    • 2023Supply Chain Management: A Structured Narrative Review of Current Challenges and Recommendations for Action29 cited