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Impact of Big Data on Supply Chain Performance through Demand Forecasting
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Impact of Big Data on Supply Chain Performance through Demand Forecasting (2023)Impact of Big Data on Supply Chain Perfor…The role of big data analytics capabilities in bolstering supply chain resilience and firm performance: a dynamic capability view (2021)The role of big data analytic…Performance measurement for supply chains in the Industry 4.0 era: a balanced scorecard approach (2020)Performance measurement for s…Machine learning demand forecasting and supply chain performance (2020)Machine learning demand forec…Does Supply Chain Analytics Enhance Supply Chain Innovation and Robustness Capability? (2019)Does Supply Chain Analytics E…Big data analytics as an operational excellence approach to enhance sustainable supply chain performance (2019)Big data analytics as an oper…Multivariate Data Analysis (2018)Multivariate Data AnalysisBig Data: Issues and Challenges Moving Forward (2013)Big Data: Issues and Challeng…Dilemmas in a general theory of planning (1973)The black swan: the impact of the highly improbable (2007)Big data: Issues, challenges, tools and Good practices (2013)Social big data: Recent achievements and new challenges (2015)Promoting novelty, rigor, and style in energy social science: Towards codes of practice for appropriate methods and research design (2018)Evaluating Structural Equation Models with Unobservable Variables and Measurement Error (1981)Firm Resources and Sustained Competitive Advantage (1991)Firm resources and sustained competitive advantage (2004)Government influence on logistics and supply chain innovations: assessing implications for firm performance and societal impact in an emerging economy (2023)Unlocking sustainable supply chain performance through dynamic data analytics: a multiple mediation model of sustainable innovation and supply chain resilience (2023)Unraveling the interplay between supply chain analytics and healthcare supply chain performance: establishing an underlying mechanism and a boundary condition (2024)Big data analytics and firm performance: Effects of dynamic capabilities (2016)Big data analytics in logistics and supply chain management: Certain investigations for research and applications (2016)How to improve firm performance using big data analytics capability and business strategy alignment? (2016)COVID-19 pandemic digitization lessons for sustainable development of micro-and small- enterprises (2021)Impact of artificial intelligence on employees working in industry 4.0 led organizations (2021)Retracted: Industry 4.0 and circular economy practices: A new era business strategies for environmental sustainability (2021)Performance measurement system design (1995)Analyzing the Past to Prepare for the Future: Writing a Literature Review (2002)Towards a Methodology for Developing Evidence‐Informed Management Knowledge by Means of Systematic Review (2003)Applying Industry 4.0 technologies in the COVID–19 sustainable chains (2021)Embracement of industry 4.0 and sustainable supply chain practices under the shadow of practice-based view theory: Ensuring environmental sustainability in corporate sector (2023)The Influence of Digital Transformation and Supply Chain Integration on Overall Sustainable Supply Chain Performance: An Empirical Analysis from Manufacturing Companies in Morocco (2023)An Experimental Application of the DELPHI Method to the Use of Experts (1963)Designing Complex Organizations (1973)Information Distortion in a Supply Chain: The Bullwhip Effect (1997)Applications of artificial intelligence and machine learning within supply chains:systematic review and future research directions (2021)AI-Driven Supply Chain Transformation in Industry 5.0: Enhancing Resilience and Sustainability (2024)Artificial intelligence in supply chain management: A systematic literature review of empirical studies and research directions (2024)Common method biases in behavioral research: A critical review of the literature and recommended remedies. (2003)A new criterion for assessing discriminant validity in variance-based structural equation modeling (2014)Artificial intelligence and big data analytics for supply chain resilience: a systematic literature review (2022)Impact of artificial intelligence assimilation on firm performance: The mediating effects of organizational agility and customer agility (2022)Role of flexibility, agility and responsiveness for sustainable supply chain resilience during COVID-19 (2022)PLS-SEM STATISTICAL PROGRAMS: A REVIEW (2021)“PLS-SEM: indeed a silver bullet” – retrospective observations and recent advances (2022)5. Leadership of organisations (2022)
this work references cited by second hop

References

  • 2018Multivariate Data Analysis3,516 cited
  • 2013Big Data: Issues and Challenges Moving Forward956 cited
  • 2019Big data analytics as an operational excellence approach to enhance sustainable supply chain performance704 cited
  • 2020Machine learning demand forecasting and supply chain performance305 cited
  • 2021The role of big data analytics capabilities in bolstering supply chain resilience and firm performance: a dynamic capability view217 cited
  • 2020Performance measurement for supply chains in the Industry 4.0 era: a balanced scorecard approach185 cited
  • 2019Does Supply Chain Analytics Enhance Supply Chain Innovation and Robustness Capability?45 cited

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