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Augmenting supply chain resilience through AI and big data
16 references·0 citing·47 second hop
Augmenting supply chain resilience through AI and big data (2024)Augmenting supply chain resilience throug…Artificial intelligence and knowledge sharing: Contributing factors to organizational performance (2022)Artificial intelligence and k…Integrating sustainability and resilience in the supply chain: A systematic literature review and a research agenda (2021)Integrating sustainability an…Artificial intelligence-driven innovation for enhancing supply chain resilience and performance under the effect of supply chain dynamism: an empirical investigation (2021)Artificial intelligence-drive…Artificial intelligence for supply chain resilience: learning from Covid-19 (2021)Artificial intelligence for s…Influence of artificial intelligence (AI) on firm performance: the business value of AI-based transformation projects (2020)Influence of artificial intel…A decision support system for demand management in healthcare supply chains considering the epidemic outbreaks: A case study of coronavirus disease 2019 (COVID-19) (2020)A decision support system for…The Evolution of Resilience in Supply Chain Management: A Retrospective on Ensuring Supply Chain Resilience (2019)The Evolution of Resilience i…Big data analytics and artificial intelligence pathway to operational performance under the effects of entrepreneurial orientation and environmental dynamism: A study of manufacturing organisations (2019)Big data analytics and artifi…A supervised machine learning approach to data-driven simulation of resilient supplier selection in digital manufacturing (2019)A supervised machine learning…Big data analytics in logistics and supply chain management: Certain investigations for research and applications (2016)Big data analytics in logisti…Notes from the Editors: Redefining some methodological criteria for the journal⋆ (2015)Notes from the Editors: Redef…How the Use of Big Data Analytics Affects Value Creation in Supply Chain Management (2015)How the Use of Big Data Analy…GENERATING RESEARCH QUESTIONS THROUGH PROBLEMATIZATION. (2011)GENERATING RESEARCH QUESTIONS…Understanding supply chain management: critical research and a theoretical framework (2003)Understanding supply chain ma…Evaluating Structural Equation Models with Unobservable Variables and Measurement Error (1981)Evaluating Structural Equatio…Estimating Nonresponse Bias in Mail Surveys (1977)Estimating Nonresponse Bias i…Firm Resources and Sustained Competitive Advantage (1991)Dynamic capabilities and strategic management (1997)Firm resources and sustained competitive advantage (2004)Measuring supply chain performance: current research and future directions (2006)Tourism supply chain management: A new research agenda (2009)The impact of internal integration and relationship commitment on external integration⋆ (2010)The Structure of Scientific Revolutions (1963)Discipline and Punish: The Birth of the Prison. (1978)Discipline and Punish: The Birth of the Prison. (1996)Ways of constructing research questions: gap-spotting or problematization? 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(2004)Improving supply chain resilience through industry 4.0: A systematic literature review under the impressions of the COVID-19 pandemic (2021)Artificial intelligence and big data analytics for supply chain resilience: a systematic literature review (2022)Impact of supply chain digitalization on supply chain resilience and performance: A multi-mediation model (2023)The theory of planned behavior (1991)Artificial intelligence in supply chain management: A systematic literature review (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)Role of institutional pressures and resources in the adoption of big data analytics powered artificial intelligence, sustainable manufacturing practices and circular economy capabilities (2020)A resource‐based view of the firm (1984)The DeLone and McLean Model of Information Systems Success: A Ten-Year Update (2003)Artificial Intelligence and Business Value: a Literature Review (2021)AI-employee collaboration and business performance: Integrating knowledge-based view, socio-technical systems and organisational socialisation framework (2022)Artificial intelligence in innovation management: A review of innovation capabilities and a taxonomy of AI applications (2023)Estimating Nonresponse Bias in Mail Surveys (1977)Structural Equation Models with Unobservable Variables and Measurement Error: Algebra and Statistics (1981)Building supply-chain resilience: an artificial intelligence-based technique and decision-making framework (2021)Significance tests and goodness of fit in the analysis of covariance structures. (1980)On the Evaluation of Structural Equation Models (1988)A new criterion for assessing discriminant validity in variance-based structural equation modeling (2014)When to use and how to report the results of PLS-SEM (2018)Response Rate and Response Quality of Internet-Based Surveys: An Experimental Study (2004)Introduction (2007)Cross-Sectional versus Longitudinal Survey Research: Concepts, Findings, and Guidelines (2008)
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References

  • 1981Evaluating Structural Equation Models with Unobservable Variables and Measurement Error108,884 cited
  • 1977Estimating Nonresponse Bias in Mail Surveys10,334 cited
  • 2011GENERATING RESEARCH QUESTIONS THROUGH PROBLEMATIZATION.1,583 cited
  • 2016Big data analytics in logistics and supply chain management: Certain investigations for research and applications1,544 cited
  • 2020Influence of artificial intelligence (AI) on firm performance: the business value of AI-based transformation projects1,277 cited
  • 2019Big data analytics and artificial intelligence pathway to operational performance under the effects of entrepreneurial orientation and environmental dynamism: A study of manufacturing organisations885 cited
  • 2015How the Use of Big Data Analytics Affects Value Creation in Supply Chain Management828 cited
  • 2021Artificial intelligence-driven innovation for enhancing supply chain resilience and performance under the effect of supply chain dynamism: an empirical investigation794 cited
  • 2019The Evolution of Resilience in Supply Chain Management: A Retrospective on Ensuring Supply Chain Resilience778 cited
  • 2003Understanding supply chain management: critical research and a theoretical framework700 cited
  • 2020A decision support system for demand management in healthcare supply chains considering the epidemic outbreaks: A case study of coronavirus disease 2019 (COVID-19)640 cited
  • 2021Integrating sustainability and resilience in the supply chain: A systematic literature review and a research agenda620 cited

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  • 2021Artificial intelligence for supply chain resilience: learning from Covid-19582 cited
  • 2022Artificial intelligence and knowledge sharing: Contributing factors to organizational performance547 cited
  • 2019A supervised machine learning approach to data-driven simulation of resilient supplier selection in digital manufacturing530 cited
  • 2015Notes from the Editors: Redefining some methodological criteria for the journal⋆500 cited
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