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Impact of digital technologies on manufacturing firm resilience during COVID-19 pandemic: a PLS-SEM and artificial neural network analysis
16 references·2 citing·46 second hop
Impact of digital technologies on manufacturing firm resilience during COVID-19 pandemic: a PLS-SEM and artificial neural network analysis (2024)Impact of digital technologies on manufac…Fake news, disinformation and misinformation in social media: a review (2023)Fake news, disinformation and…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…Research opportunities for a more resilient post-COVID-19 supply chain – closing the gap between research findings and industry practice (2020)Research opportunities for a …Manufacturing and service supply chain resilience to the COVID-19 outbreak: Lessons learned from the automobile and airline industries (2020)Manufacturing and service sup…A digital supply chain twin for managing the disruption risks and resilience in the era of Industry 4.0 (2020)A digital supply chain twin f…The Evolution of Resilience in Supply Chain Management: A Retrospective on Ensuring Supply Chain Resilience (2019)The Evolution of Resilience i…Empirical investigation of data analytics capability and organizational flexibility as complements to supply chain resilience (2019)Empirical investigation of da…PLS-SEM or CB-SEM: updated guidelines on which method to use (2017)PLS-SEM or CB-SEM: updated gu…Testing measurement invariance of composites using partial least squares (2016)Testing measurement invarianc…Partial least squares structural equation modeling (PLS-SEM) (2014)Partial least squares structu…A measure of absorptive capacity: Scale development and validation (2011)A measure of absorptive capac…Scoping studies: advancing the methodology (2010)Scoping studies: advancing th…Common method biases in behavioral research: A critical review of the literature and recommended remedies. (2003)Common method biases in behav…Toward a knowledge‐based theory of the firm (1996)Toward a knowledge‐based theo…Evaluating Structural Equation Models with Unobservable Variables and Measurement Error (1981)Evaluating Structural Equatio…Organization Design: An Information Processing View (1974)Organization Design: An Infor…Does artificial intelligence (AI) adoption enable resilience to disruptions among firms? An in-depth examination (2026)Does artificial intelligence …The relationship between artificial intelligence and environmental performance: the mediating role of external environmental factors (2025)The relationship between arti…PLS-SEM: Indeed a Silver Bullet (2011)A primer on partial least squares structural equation modeling (PLS-SEM) (2014)Partial least squares structural equation modeling (PLS-SEM): A useful tool for family business researchers (2014)When to use and how to report the results of PLS-SEM (2018)Partial Least Squares Structural Equation Modeling (PLS-SEM) Using R (2021)Richard M. Cyert & James G. March, A Behavioral Theory of The Firm, Prentice-Hall, Inc., Englewood Cliffs, New Jersey, 1963, 332 s. 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(2000)Absorptive Capacity: A Review, Reconceptualization, and Extension (2002)Structural Equations with Latent Variables (1989)A new criterion for assessing discriminant validity in variance-based structural equation modeling (2014)An updated and expanded assessment of PLS-SEM in information systems research (2017)Partial Least Squares Structural Equation Modeling (2017)Partial least squares structural equation modeling in HRM research (2018)Firm Resources and Sustained Competitive Advantage (1991)Blockchain technology for enhancing swift-trust, collaboration and resilience within a humanitarian supply chain setting (2020)Impacts of epidemic outbreaks on supply chains: mapping a research agenda amid the COVID-19 pandemic through a structured literature review (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)An introduction to cybernetics (1956)Building the Resilient Supply Chain (2004)Cybernetics or Control and Communication in the Animal and the Machine (2019)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)Viable supply chain model: integrating agility, resilience and sustainability perspectives—lessons from and thinking beyond the COVID-19 pandemic (2020)Significance tests and goodness of fit in the analysis of covariance structures. 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References

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  • 2021Artificial intelligence-driven innovation for enhancing supply chain resilience and performance under the effect of supply chain dynamism: an empirical investigation

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794 cited
  • 2019The Evolution of Resilience in Supply Chain Management: A Retrospective on Ensuring Supply Chain Resilience778 cited
  • 2023Fake news, disinformation and misinformation in social media: a review771 cited
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    • 2026Does artificial intelligence (AI) adoption enable resilience to disruptions among firms? An in-depth examination33 cited
    • 2025The relationship between artificial intelligence and environmental performance: the mediating role of external environmental factors10 cited