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Impact of big data technological and personal capabilities on sustainable performance on Jordanian manufacturing companies: the mediating role of innovation
16 references·12 citing·38 second hop
Impact of big data technological and personal capabilities on sustainable performance on Jordanian manufacturing companies: the mediating role of innovation (2023)Impact of big data technological and pers…Executing and interpreting applications of PLS-SEM: Updates for family business researchers (2020)Executing and interpreting ap…How to Specify, Estimate, and Validate Higher-Order Constructs in PLS-SEM (2019)How to Specify, Estimate, and…Exploring the relationship between big data analytics capability and competitive performance: The mediating roles of dynamic and operational capabilities (2019)Exploring the relationship be…Big Data Analytics Capabilities and Innovation: The Mediating Role of Dynamic Capabilities and Moderating Effect of the Environment (2019)Big Data Analytics Capabiliti…Big data analytics capabilities: a systematic literature review and research agenda (2017)Big data analytics capabiliti…How to improve firm performance using big data analytics capability and business strategy alignment? (2016)How to improve firm performan…Critical analysis of Big Data challenges and analytical methods (2016)Critical analysis of Big Data…Big data and predictive analytics for supply chain and organizational performance (2016)Big data and predictive analy…Big data analytics and firm performance: Effects of dynamic capabilities (2016)Big data analytics and firm p…Service Innovation in the Digital Age: Key Contributions and Future Directions (2015)Service Innovation in the Dig…How the Use of Big Data Analytics Affects Value Creation in Supply Chain Management (2015)How the Use of Big Data Analy…How ‘big data’ can make big impact: Findings from a systematic review and a longitudinal case study (2015)How ‘big data’ can make big i…Deep learning applications and challenges in big data analytics (2015)Deep learning applications an…Data Science, Predictive Analytics, and Big Data: A Revolution That Will Transform Supply Chain Design and Management (2013)Data Science, Predictive Anal…Common method biases in behavioral research: A critical review of the literature and recommended remedies. (2003)Common method biases in behav…Structural Equation Models with Unobservable Variables and Measurement Error: Algebra and Statistics (1981)Structural Equation Models wi…The Impact of Digital Leadership on Performance: Examining the Roles of Big Data Analytical Capabilities, Green Innovation, and AI Change Readiness in Italian SMEs (2025)The Impact of Digital Leaders…Impact of corporate social responsibility, technological capability, and green entrepreneurial orientation on green innovation and sustainable performance (2025)Impact of corporate social re…Dynamic capabilities in action: the synergy of big data analytics, supply chain ambidexterity, green supply chain and firm performance (2025)Dynamic capabilities in actio…Unveiling the path to innovation: Exploring the roles of big data analytics management capabilities, strategic agility, and strategic alignment (2024)Unveiling the path to innovat…Towards circular economy: A IoT enabled framework for circular supply chain integration (2024)Towards circular economy: A I…The impact of Big Data Analytics on firm sustainable performance (2024)The impact of Big Data Analyt…Exploring the impact of digital knowledge, integration and performance on sustainable accounting, reporting and assurance (2024)Exploring the impact of digit…Environmental innovations and sustainability practices of manufacturing firms in Uganda (2024)Environmental innovations and…Big data analytics capability in building supply chain resilience: the moderating effect of innovation-focused complementary assets (2024)Big data analytics capability…Big data adoption and performance: mediating mechanisms of innovation, supply chain integration and resilience (2024)Big data adoption and perform…Analyzing the drivers of blockchain adoption for supply chain in Pakistan (2024)Analyzing the drivers of bloc…Achieving social performance through digitalization and supply chain resilience in the COVID-19 disruption era: An empirical examination based on a stakeholder dynamic capabilities view (2024)Achieving social performance …Case Study Research: Design and Methods (1984)Big data: the management revolution. (2012)Business Intelligence and Analytics: From Big Data to Big Impact (2012)The impact of digital technology and Industry 4.0 on the ripple effect and supply chain risk analytics (2018)A digital supply chain twin for managing the disruption risks and resilience in the era of Industry 4.0 (2020)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)Towards a Methodology for Developing Evidence‐Informed Management Knowledge by Means of Systematic Review (2003)CRITICAL QUESTIONS FOR BIG DATA (2012)Role of institutional pressures and resources in the adoption of big data analytics powered artificial intelligence, sustainable manufacturing practices and circular economy capabilities (2020)Sustainable development goals and the strategic role of business: A systematic literature review (2020)Towards a circular economy: An emerging economies context (2020)Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology (1989)Firm Resources and Sustained Competitive Advantage (1991)Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives (1999)Green innovation and organizational performance: The influence of big data and the moderating role of management commitment and HR practices (2018)Empirical investigation of data analytics capability and organizational flexibility as complements to supply chain resilience (2019)Evaluating Structural Equation Models with Unobservable Variables and Measurement Error (1981)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)Influence of artificial intelligence (AI) on firm performance: the business value of AI-based transformation projects (2020)Firm resources and sustained competitive advantage (2004)Blockchain adoption challenges in supply chain: An empirical investigation of the main drivers in India and the USA (2018)Scale Development : Theory and Applications (1991)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)An Introduction to Structural Equation Modeling (2021)Partial Least Squares Structural Equation Modeling (2021)Partial Least Squares Structural Equation Modeling (PLS-SEM) in second language and education research: Guidelines using an applied example (2022)Big Data technologies: A survey (2017)Machine learning on big data: Opportunities and challenges (2017)Machine Learning With Big Data: Challenges and Approaches (2017)User Acceptance of Information Technology: Toward A Unified View1 (2003)
this work references cited by second hop

References

  • 2003Common method biases in behavioral research: A critical review of the literature and recommended remedies.81,863 cited
  • 1981Structural Equation Models with Unobservable Variables and Measurement Error: Algebra and Statistics13,274 cited
  • 2019How to Specify, Estimate, and Validate Higher-Order Constructs in PLS-SEM3,259 cited
  • 2015Deep learning applications and challenges in big data analytics2,597 cited
  • 2016Big data analytics and firm performance: Effects of dynamic capabilities2,466 cited
  • 2016Critical analysis of Big Data challenges and analytical methods2,065 cited
  • 2015How ‘big data’ can make big impact: Findings from a systematic review and a longitudinal case study1,796 cited
  • 2013Data Science, Predictive Analytics, and Big Data: A Revolution That Will Transform Supply Chain Design and Management1,518 cited
  • 2016How to improve firm performance using big data analytics capability and business strategy alignment?1,450 cited
  • 2016Big data and predictive analytics for supply chain and organizational performance1,145 cited
  • 2019Exploring the relationship between big data analytics capability and competitive performance: The mediating roles of dynamic and operational capabilities1,101 cited
  • 2015Service Innovation in the Digital Age: Key Contributions and Future Directions957 cited
  • 2017Big data analytics capabilities: a systematic literature review and research agenda888 cited

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  • 2020Executing and interpreting applications of PLS-SEM: Updates for family business researchers854 cited
  • 2019Big Data Analytics Capabilities and Innovation: The Mediating Role of Dynamic Capabilities and Moderating Effect of the Environment833 cited
  • 2015How the Use of Big Data Analytics Affects Value Creation in Supply Chain Management828 cited
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    • 2024Big data adoption and performance: mediating mechanisms of innovation, supply chain integration and resilience43 cited
    • 2024Big data analytics capability in building supply chain resilience: the moderating effect of innovation-focused complementary assets41 cited
    • 2024Unveiling the path to innovation: Exploring the roles of big data analytics management capabilities, strategic agility, and strategic alignment31 cited
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