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The influence of artificial intelligence techniques on disruption management: Does supply chain dynamism matter?
16 references·0 citing·31 second hop
The influence of artificial intelligence techniques on disruption management: Does supply chain dynamism matter? (2023)The influence of artificial intelligence …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…Heuristics versus statistics in discriminant validity testing: a comparison of four procedures (2019)Heuristics versus statistics …When to use and how to report the results of PLS-SEM (2018)When to use and how to report…The impact of digital technology and Industry 4.0 on the ripple effect and supply chain risk analytics (2018)The impact of digital technol…A primer on partial least squares structural equation modeling (PLS-SEM) (2015)A primer on partial least squ…Common Beliefs and Reality About PLS (2014)Common Beliefs and Reality Ab…A new criterion for assessing discriminant validity in variance-based structural equation modeling (2014)A new criterion for assessing…Common Method Bias in Marketing: Causes, Mechanisms, and Procedural Remedies (2012)Common Method Bias in Marketi…PLS-SEM: Indeed a Silver Bullet (2011)PLS-SEM: Indeed a Silver Bull…Understanding the concept of supply chain resilience (2009)Understanding the concept of …Explicating dynamic capabilities: the nature and microfoundations of (sustainable) enterprise performance (2007)Explicating dynamic capabilit…The dynamic resource‐based view: capability lifecycles (2003)The dynamic resource‐based vi…Common method biases in behavioral research: A critical review of the literature and recommended remedies. (2003)Common method biases in behav…Dynamic capabilities: what are they? (2000)Dynamic capabilities: what ar…Dynamic capabilities and strategic management (1997)Dynamic capabilities and stra…Evaluating Structural Equation Models with Unobservable Variables and Measurement Error (1981)Evaluating Structural Equatio…On the Evaluation of Structural Equation Models (1988)Structural equation modeling in practice: A review and recommended two-step approach. (1988)Partial least squares structural equation modeling (PLS-SEM) (2014)Firm Resources and Sustained Competitive Advantage (1991)Absorptive Capacity: A Review, Reconceptualization, and Extension (2002)Deliberate Learning and the Evolution of Dynamic Capabilities (2002)Firm resources and sustained competitive advantage (2004)Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology (1989)User Acceptance of Information Technology: Toward A Unified View1 (2003)Using PLS path modeling in new technology research: updated guidelines (2016)Partial Least Squares Structural Equation Modeling (PLS-SEM) Using R (2021)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)The Nature of the Firm (1937)A resource‐based view of the firm (1984)The Theory of Economic Development (2003)Prospect Theory: An Analysis of Decision under Risk (1979)Prospect theory: An analysis of decision under risk (1988)Business Models, Business Strategy and Innovation (2009)The Business Model: Recent Developments and Future Research (2011)Understanding digital transformation: A review and a research agenda (2019)An Evolutionary Theory of Economic Change. (1983)Understanding dynamic capabilities (2003)Managing Firm Resources in Dynamic Environments to Create Value: Looking Inside the Black Box (2007)Significance tests and goodness of fit in the analysis of covariance structures. (1980)Assessing measurement model quality in PLS-SEM using confirmatory composite analysis (2019)Partial Least Squares Structural Equation Modeling (2017)
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References

  • 1981Evaluating Structural Equation Models with Unobservable Variables and Measurement Error108,884 cited
  • 2003Common method biases in behavioral research: A critical review of the literature and recommended remedies.81,863 cited
  • 2014A new criterion for assessing discriminant validity in variance-based structural equation modeling38,283 cited
  • 1997Dynamic capabilities and strategic management34,723 cited
  • 2018When to use and how to report the results of PLS-SEM27,424 cited
  • 2011PLS-SEM: Indeed a Silver Bullet21,614 cited
  • 2015A primer on partial least squares structural equation modeling (PLS-SEM)18,923 cited
  • 2007Explicating dynamic capabilities: the nature and microfoundations of (sustainable) enterprise performance16,758 cited
  • 2000Dynamic capabilities: what are they?14,950 cited
  • 2003The dynamic resource‐based view: capability lifecycles4,550 cited
  • 2014Common Beliefs and Reality About PLS3,328 cited
  • 2012Common Method Bias in Marketing: Causes, Mechanisms, and Procedural Remedies3,045 cited
  • 2009Understanding the concept of supply chain resilience2,566 cited
  • 2020Viability of intertwined supply networks: extending the supply chain resilience angles towards survivability. A position paper motivated by COVID-19 outbreak2,134 cited

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  • 2018The impact of digital technology and Industry 4.0 on the ripple effect and supply chain risk analytics2,054 cited
  • 2019Heuristics versus statistics in discriminant validity testing: a comparison of four procedures1,973 cited
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