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Blockchain-Driven Supply Chain Analytics and Sustainable Performance: Analysis Using PLS-SEM and ANFIS
16 references·0 citing·46 second hopsampled
Blockchain-Driven Supply Chain Analytics and Sustainable Performance: Analysis Using PLS-SEM and ANFIS (2024)Blockchain-Driven Supply Chain Analytics …Leveraging blockchain technology for green innovation in ecosystem-based business models: A dynamic capability of values appropriation (2022)Leveraging blockchain technol…Blockchain technologies as enablers of supply chain mapping for sustainable supply chains (2022)Blockchain technologies as en…An analytical approach for evaluating the impact of blockchain technology on sustainable supply chain performance (2022)An analytical approach for ev…Business Innovation based on artificial intelligence and Blockchain technology (2021)Business Innovation based on …Blockchain technology’s impact on supply chain integration and sustainable supply chain performance: evidence from the automotive industry (2021)Blockchain technology’s impac…Predicting the actual use of m-learning systems: a comparative approach using PLS-SEM and machine learning algorithms (2020)Predicting the actual use of …Operational excellence for improving sustainable supply chain performance (2020)Operational excellence for im…Big Data Analytics as a mediator in Lean, Agile, Resilient, and Green (LARG) practices effects on sustainable supply chains (2020)Big Data Analytics as a media…When to use and how to report the results of PLS-SEM (2018)When to use and how to report…Lean, green practices and process innovation: A model for green supply chain performance (2018)Lean, green practices and pro…Blockchain adoption challenges in supply chain: An empirical investigation of the main drivers in India and the USA (2018)Blockchain adoption challenge…Investigating the relationship between supply chain innovation, risk management capabilities and competitive advantage in global supply chains (2017)Investigating the relationshi…Big data and predictive analytics for supply chain and organizational performance (2016)Big data and predictive analy…Bi-objective integrating sustainable order allocation and sustainable supply chain network strategic design with stochastic demand using a novel robust hybrid multi-objective metaheuristic (2015)Bi-objective integrating sust…A framework for analysing supply chain performance evaluation models (2010)A framework for analysing sup…Structural Equation Models with Unobservable Variables and Measurement Error: Algebra and Statistics (1981)Structural Equation Models wi…The Conduct of Inquiry (1967)Estimation of a Model with Multiple Indicators and Multiple Causes of a Single Latent Variable (1975)Evaluating Structural Equation Models with Unobservable Variables and Measurement Error (1981)User Acceptance of Information Technology: Toward A Unified View1 (2003)\nThe use of partial least squares path modeling in international marketing (2009)Relevance Lost: The Rise and Fall of Management Accounting (1987)Performance measurement system design (1995)DEFINING SUPPLY CHAIN MANAGEMENT (2001)Principles in halal supply chain management (2012)The effect of performance measurement systems on firm performance: A cross‐sectional and a longitudinal study (2014)Digital supply chain management in the COVID-19 crisis: An asset orchestration perspective (2021)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)The impact of digital technology and Industry 4.0 on the ripple effect and supply chain risk analytics (2018)Empirical investigation of data analytics capability and organizational flexibility as complements to supply chain resilience (2019)Common method biases in behavioral research: A critical review of the literature and recommended remedies. 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References

  • 2018When to use and how to report the results of PLS-SEM33,063 cited
  • 1981Structural Equation Models with Unobservable Variables and Measurement Error: Algebra and Statistics19,243 cited
  • 2018Blockchain adoption challenges in supply chain: An empirical investigation of the main drivers in India and the USA1,150 cited
  • 2016Big data and predictive analytics for supply chain and organizational performance1,145 cited
  • 2017Investigating the relationship between supply chain innovation, risk management capabilities and competitive advantage in global supply chains431 cited
  • 2018Lean, green practices and process innovation: A model for green supply chain performance344 cited
  • 2021Blockchain technology’s impact on supply chain integration and sustainable supply chain performance: evidence from the automotive industry324 cited
  • 2010A framework for analysing supply chain performance evaluation models323 cited
  • 2020Predicting the actual use of m-learning systems: a comparative approach using PLS-SEM and machine learning algorithms280 cited
  • 2021Business Innovation based on artificial intelligence and Blockchain technology250 cited
  • 2020Big Data Analytics as a mediator in Lean, Agile, Resilient, and Green (LARG) practices effects on sustainable supply chains243 cited
  • 2022Blockchain technologies as enablers of supply chain mapping for sustainable supply chains238 cited
  • 2015Bi-objective integrating sustainable order allocation and sustainable supply chain network strategic design with stochastic demand using a novel robust hybrid multi-objective metaheuristic

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228 cited
  • 2022An analytical approach for evaluating the impact of blockchain technology on sustainable supply chain performance210 cited
  • 2022Leveraging blockchain technology for green innovation in ecosystem-based business models: A dynamic capability of values appropriation197 cited
  • 2020Operational excellence for improving sustainable supply chain performance156 cited
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