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The Mediating Effect of Innovation Capabilities, Information Quality and Supply Chain Resilience in the Relationship Between Big Data Analytics Capability (BDAC) and Healthcare Performance
16 references·0 citing·40 second hop
The Mediating Effect of Innovation Capabilities, Information Quality and Supply Chain Resilience in the Relationship Between Big Data Analytics Capability (BDAC) and Healthcare Performance (2025)The Mediating Effect of Innovation Capabi…Big data in healthcare: management, analysis and future prospects (2019)Big data in healthcare: manag…When to use and how to report the results of PLS-SEM (2018)When to use and how to report…Big data analytics: Understanding its capabilities and potential benefits for healthcare organizations (2016)Big data analytics: Understan…Big data analytics in logistics and supply chain management: Certain investigations for research and applications (2016)Big data analytics in logisti…Big data analytics and firm performance: Effects of dynamic capabilities (2016)Big data analytics and firm p…Sustainable supply chain management and the transition towards a circular economy: Evidence and some applications (2015)Sustainable supply chain mana…Common Method Bias in PLS-SEM (2015)Common Method Bias in PLS-SEMMeasuring Organizational Performance: Towards Methodological Best Practice (2009)Measuring Organizational Perf…Firm Performance Impacts of Digitally Enabled Supply Chain Integration Capabilities (2006)Firm Performance Impacts of D…Resolving the Capability–Rigidity Paradox in New Product Innovation (2005)Resolving the Capability–Rigi…The DeLone and McLean Model of Information Systems Success: A Ten-Year Update (2003)The DeLone and McLean Model o…Common method biases in behavioral research: A critical review of the literature and recommended remedies. (2003)Common method biases in behav…Research Methods for Business Students (2000)Research Methods for Business…Dynamic capabilities: what are they? (2000)Dynamic capabilities: what ar…SURVEY RESEARCH (1999)SURVEY RESEARCHEvaluating Structural Equation Models with Unobservable Variables and Measurement Error (1981)Evaluating Structural Equatio…Information Systems Success: The Quest for the Dependent Variable (1992)Understanding Information Technology Usage: A Test of Competing Models (1995)The balanced scorecard: Translating strategy into action (1997)Design science in information systems research (2004)Design Science in Information Systems Research1 (2004)Technology Acceptance Model 3 and a Research Agenda on Interventions (2008)Theory of the firm: Managerial behavior, agency costs and ownership structure (1976)Firm Resources and Sustained Competitive Advantage (1991)Firm resources and sustained competitive advantage (2004)Does human capital matter? A meta-analysis of the relationship between human capital and firm performance. (2011)Performance Measurement: Challenges for Tomorrow* (2011)Top management knowledge value, knowledge sharing practices, open innovation and organizational performance (2019)Dynamic capabilities and strategic management (1997)Absorptive Capacity: A Review, Reconceptualization, and Extension (2002)Deliberate Learning and the Evolution of Dynamic Capabilities (2002)Explicating dynamic capabilities: the nature and microfoundations of (sustainable) enterprise performance (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)Sources of Method Bias in Social Science Research and Recommendations on How to Control It (2011)Structural equation modeling in practice: A review and recommended two-step approach. (1988)PLS-SEM: Indeed a Silver Bullet (2011)Information technology-enabled dynamic capabilities and their indirect effect on competitive performance: Findings from PLS-SEM and fsQCA (2016)Exploring the relationship between big data analytics capability and competitive performance: The mediating roles of dynamic and operational capabilities (2019)Influence of artificial intelligence (AI) on firm performance: the business value of AI-based transformation projects (2020)A new criterion for assessing discriminant validity in variance-based structural equation modeling (2014)Partial Least Squares Structural Equation Modeling (2017)Assessing measurement model quality in PLS-SEM using confirmatory composite analysis (2019)Partial Least Squares Structural Equation Modeling (PLS-SEM) Using R (2021)Significance tests and goodness of fit in the analysis of covariance structures. (1980)On the Evaluation of Structural Equation Models (1988)Transformational leadership and employee performance: The role of identification, engagement and proactive personality (2018)Role of institutional pressures and resources in the adoption of big data analytics powered artificial intelligence, sustainable manufacturing practices and circular economy capabilities (2020)INTERNATIONAL JOURNAL OF LOGISTICS MANAGEMENT (2023)The role of music in adolescents' mood regulation (2006)Survey response rate levels and trends in organizational research (2008)TWO CRITERIA FOR GOOD MEASUREMENTS IN RESEARCH: VALIDITY AND RELIABILITY (2017)Using PLS Path Modeling for Assessing Hierarchical Construct Models: Guidelines and Empirical Illustration1 (2009)Construct Measurement and Validation Procedures in MIS and Behavioral Research: Integrating New and Existing Techniques1 (2011)Artificial intelligence capability: Conceptualization, measurement calibration, and empirical study on its impact on organizational creativity and firm performance (2021)
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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
  • 2018When to use and how to report the results of PLS-SEM27,424 cited
  • 2000Dynamic capabilities: what are they?14,950 cited
  • 2003The DeLone and McLean Model of Information Systems Success: A Ten-Year Update11,772 cited
  • 2015Common Method Bias in PLS-SEM10,154 cited
  • 2000Research Methods for Business Students5,592 cited
  • 2016Big data analytics and firm performance: Effects of dynamic capabilities2,466 cited
  • 2009Measuring Organizational Performance: Towards Methodological Best Practice2,231 cited
  • 2006Firm Performance Impacts of Digitally Enabled Supply Chain Integration Capabilities1,910 cited
  • 1999SURVEY RESEARCH1,852 cited
  • 2019Big data in healthcare: management, analysis and future prospects1,747 cited
  • 2016Big data analytics: Understanding its capabilities and potential benefits for healthcare organizations1,571 cited
  • 2016Big data analytics in logistics and supply chain management: Certain investigations for research and applications1,544 cited
  • 2005

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Resolving the Capability–Rigidity Paradox in New Product Innovation
1,511 cited
  • 2015Sustainable supply chain management and the transition towards a circular economy: Evidence and some applications1,506 cited
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