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Artificial intelligence-based supply chain resilience for improving firm performance in emerging markets
16 references·0 citing·43 second hop
Artificial intelligence-based supply chain resilience for improving firm performance in emerging markets (2023)Artificial intelligence-based supply chai…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 capability: Conceptualization, measurement calibration, and empirical study on its impact on organizational creativity and firm performance (2021)Artificial intelligence capab…Viable supply chain model: integrating agility, resilience and sustainability perspectives—lessons from and thinking beyond the COVID-19 pandemic (2020)Viable supply chain model: in…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…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…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…Supply chain risk management and artificial intelligence: state of the art and future research directions (2018)Supply chain risk management …Supply chain resilience: Conceptualization and scale development using dynamic capability theory (2017)Supply chain resilience: Conc…How to improve firm performance using big data analytics capability and business strategy alignment? (2016)How to improve firm performan…The role of collaboration in supply chain resilience (2015)The role of collaboration in …A review of the literature on the principles of enterprise and supply chain resilience: Major findings and directions for future research (2015)A review of the literature on…Supply chain practice and information sharing (2007)Supply chain practice and inf…Common method biases in behavioral research: A critical review of the literature and recommended remedies. (2003)Common method biases in behav…Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives (1999)Cutoff criteria for fit index…The Resource-Based Theory of Competitive Advantage: Implications for Strategy Formulation (1991)The Resource-Based Theory of …Evaluating Structural Equation Models with Unobservable Variables and Measurement Error (1981)Evaluating Structural Equatio…The Market for "Lemons": Quality Uncertainty and the Market Mechanism (1970)The Competitive Advantage of Nations (1990)Strategic assets and organizational rent (1993)Exploring internal stickiness: Impediments to the transfer of best practice within the firm (1996)The Core Competence of the Corporation (2006)Dimensionalizing Cultures: The Hofstede Model in Context (2011)Significance tests and goodness of fit in the analysis of covariance structures. (1980)Comparative fit indexes in structural models. (1990)Alternative Ways of Assessing Model Fit (1992)Fit indices in covariance structure modeling: Sensitivity to underparameterized model misspecification. (1998)Evaluating the Fit of Structural Equation Models: Tests of Significance and Descriptive Goodness-of-Fit Measures (2003)Sensitivity of Goodness of Fit Indexes to Lack of Measurement Invariance (2007)Belief, Attitude, Intention and Behavior: An Introduction to Theory and Research (1975)Self-Reports in Organizational Research: Problems and Prospects (1986)Structural Equations with Latent Variables. (1991)Technology Acceptance Model 3 and a Research Agenda on Interventions (2008)Sources of Method Bias in Social Science Research and Recommendations on How to Control It (2011)Common Method Bias in PLS-SEM (2015)Innovation, Market Orientation, and Organizational Learning: An Integration and Empirical Examination (1998)Positive organizational scholarship : foundations of a new discipline (2003)Building the Resilient Supply Chain (2004)Literature review on disruption recovery in the supply chain (2017)Empirical investigation of data analytics capability and organizational flexibility as complements to supply chain resilience (2019)Firm Resources and Sustained Competitive Advantage (1991)Firm resources and sustained competitive advantage (2004)Big data analytics capabilities: a systematic literature review and research agenda (2017)Blockchain adoption challenges in supply chain: An empirical investigation of the main drivers in India and the USA (2018)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)An introduction to cybernetics (1956)Cybernetics or Control and Communication in the Animal and the Machine (2019)Impacts of epidemic outbreaks on supply chains: mapping a research agenda amid the COVID-19 pandemic through a structured literature review (2020)Perspectives in supply chain risk management (2006)Impact of COVID-19 on logistics systems and disruptions in food supply chain (2020)COVID-19 pandemic related supply chain studies: A systematic review (2021)A new criterion for assessing discriminant validity in variance-based structural equation modeling (2014)Artificial Intelligence and Business Value: a Literature Review (2021)What influences algorithmic decision-making? A systematic literature review on algorithm aversion (2021)Responsible artificial intelligence governance: A review and research framework (2025)On the Evaluation of Structural Equation Models (1988)When to use and how to report the results of PLS-SEM (2018)
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References

  • 1981Evaluating Structural Equation Models with Unobservable Variables and Measurement Error108,884 cited
  • 1999Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives108,592 cited
  • 2003Common method biases in behavioral research: A critical review of the literature and recommended remedies.81,863 cited
  • 1991The Resource-Based Theory of Competitive Advantage: Implications for Strategy Formulation9,697 cited
  • 2020Viability of intertwined supply networks: extending the supply chain resilience angles towards survivability. A position paper motivated by COVID-19 outbreak2,134 cited
  • 2020A digital supply chain twin for managing the disruption risks and resilience in the era of Industry 4.01,824 cited
  • 2021Artificial intelligence capability: Conceptualization, measurement calibration, and empirical study on its impact on organizational creativity and firm performance1,693 cited
  • 2016How to improve firm performance using big data analytics capability and business strategy alignment?1,450 cited
  • 2020Viable supply chain model: integrating agility, resilience and sustainability perspectives—lessons from and thinking beyond the COVID-19 pandemic1,356 cited
  • 2015A review of the literature on the principles of enterprise and supply chain resilience: Major findings and directions for future research1,134 cited
  • 2018Supply chain risk management and artificial intelligence: state of the art and future research directions1,024 cited
  • 2015The role of collaboration in supply chain resilience

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987 cited
  • 2007Supply chain practice and information sharing923 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
  • 2017Supply chain resilience: Conceptualization and scale development using dynamic capability theory878 cited
  • 2021Artificial intelligence-driven innovation for enhancing supply chain resilience and performance under the effect of supply chain dynamism: an empirical investigation794 cited
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