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Industry 4.0 Adoption Drivers for Sustainable Supply Chain in the Manufacturing Sector Using a Hybrid Decision-Making Approach Under q-Rung Orthopair Fuzzy Information
16 references·0 citing·46 second hop
Industry 4.0 Adoption Drivers for Sustainable Supply Chain in the Manufacturing Sector Using a Hybrid Decision-Making Approach Under q-Rung Orthopair Fuzzy Information (2023)Industry 4.0 Adoption Drivers for Sustain…Procurement 4.0 and its implications on business process performance in a circular economy (2019)Procurement 4.0 and its impli…Big data analytics as an operational excellence approach to enhance sustainable supply chain performance (2019)Big data analytics as an oper…The impact of digital technology and Industry 4.0 on the ripple effect and supply chain risk analytics (2018)The impact of digital technol…Industry 4.0 and the circular economy: a proposed research agenda and original roadmap for sustainable operations (2018)Industry 4.0 and the circular…Industry 4.0 and supply chain sustainability: framework and future research directions (2018)Industry 4.0 and supply chain…Digitalization and its influence on business model innovation (2018)Digitalization and its influe…Some q-Rung Orthopair Fuzzy Aggregation Operators and their Applications to Multiple-Attribute Decision Making (2017)Some q-Rung Orthopair Fuzzy A…Industry 4.0, global value chains and international business (2017)Industry 4.0, global value ch…Can big data and predictive analytics improve social and environmental sustainability? (2017)Can big data and predictive a…Smart supply chain management: a review and implications for future research (2016)Smart supply chain management…Generalized Orthopair Fuzzy Sets (2016)Generalized Orthopair Fuzzy S…Big data analytics in logistics and supply chain management: Certain investigations for research and applications (2016)Big data analytics in logisti…Data quality for data science, predictive analytics, and big data in supply chain management: An introduction to the problem and suggestions for research and applications (2014)Data quality for data science…Sustainable purchasing and supply management: a structured literature review of definitions and measures at the dyad, chain and network levels (2012)Sustainable purchasing and su…Optimization of Weighted Aggregated Sum Product Assessment (2012)Optimization of Weighted Aggr…Determining objective weights in multiple criteria problems: The critic method (1995)Determining objective weights…Firm Resources and Sustained Competitive Advantage (1991)Toward a knowledge‐based theory of the firm (1996)Firm resources and sustained competitive advantage (2004)Big data and disaster management: a systematic review and agenda for future research (2017)Circular economy and big data analytics: A stakeholder perspective (2018)Artificial intelligence applications in supply chain management (2021)Business Intelligence and Analytics: From Big Data to Big Impact (2012)Data Science, Predictive Analytics, and Big Data: A Revolution That Will Transform Supply Chain Design and Management (2013)How ‘big data’ can make big impact: Findings from a systematic review and a longitudinal case study (2015)Critical analysis of Big Data challenges and analytical methods (2016)A digital supply chain twin for managing the disruption risks and resilience in the era of Industry 4.0 (2020)Fuzzy sets (1965)Intuitionistic fuzzy sets (1986)On ordered weighted averaging aggregation operators in multicriteria decisionmaking (1988)Fermatean fuzzy sets (2019)Fermatean fuzzy weighted averaging/geometric operators and its application in multi-criteria decision-making methods (2019)Common method biases in behavioral research: A critical review of the literature and recommended remedies. 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A position paper motivated by COVID-19 outbreak (2020)Case Study Research: Design and Methods (1984)Dynamic capabilities and strategic management (1997)Case Study Research (2004)Digital transformation and customer value creation in Made in Italy SMEs: A dynamic capabilities perspective (2020)Influence of artificial intelligence (AI) on firm performance: the business value of AI-based transformation projects (2020)COVID-19 and digitalization: The great acceleration (2021)Fuzzy multiple criteria decision-making techniques and applications – Two decades review from 1994 to 2014 (2015)Multiple criteria decision-making techniques and their applications – a review of the literature from 2000 to 2014 (2015)Development of TOPSIS Method to Solve Complicated Decision-Making Problems — An Overview on Developments from 2000 to 2015 (2016)Inter-company comparison using modified TOPSIS with objective weights (2000)A New Model for Determining Weight Coefficients of Criteria in MCDM Models: Full Consistency Method (FUCOM) (2018)Weighting methods for multi-criteria decision making technique (2019)
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References

  • 1995Determining objective weights in multiple criteria problems: The critic method3,481 cited
  • 2016Generalized Orthopair Fuzzy Sets2,248 cited
  • 2018The impact of digital technology and Industry 4.0 on the ripple effect and supply chain risk analytics2,054 cited
  • 2016Big data analytics in logistics and supply chain management: Certain investigations for research and applications1,544 cited
  • 2012Optimization of Weighted Aggregated Sum Product Assessment1,268 cited
  • 2018Industry 4.0 and the circular economy: a proposed research agenda and original roadmap for sustainable operations1,112 cited
  • 2018Digitalization and its influence on business model innovation1,090 cited
  • 2017Some q-Rung Orthopair Fuzzy Aggregation Operators and their Applications to Multiple-Attribute Decision Making920 cited
  • 2014Data quality for data science, predictive analytics, and big data in supply chain management: An introduction to the problem and suggestions for research and applications863 cited
  • 2017Can big data and predictive analytics improve social and environmental sustainability?822 cited
  • 2019Big data analytics as an operational excellence approach to enhance sustainable supply chain performance704 cited
  • 2017Industry 4.0, global value chains and international business630 cited
  • 2012Sustainable purchasing and supply management: a structured literature review of definitions and measures at the dyad, chain and network levels

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447 cited
  • 2016Smart supply chain management: a review and implications for future research438 cited
  • 2018Industry 4.0 and supply chain sustainability: framework and future research directions385 cited
  • 2019Procurement 4.0 and its implications on business process performance in a circular economy339 cited
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