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Unlocking AI's potential in the food supply chain: A novel approach to overcoming barriers
16 references·0 citing·47 second hop
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References

  • 2017Case Study Research and Applications: Design and Methods9,643 cited
  • 2014Renaissance of case research as a scientific method1,292 cited
  • 2018Blockchain adoption challenges in supply chain: An empirical investigation of the main drivers in India and the USA1,084 cited
  • 2018Supply chain risk management and artificial intelligence: state of the art and future research directions1,024 cited
  • 2015Understanding determinants of cloud computing adoption using an integrated TAM-TOE model1,011 cited
  • 2019Big data analytics and artificial intelligence pathway to operational performance under the effects of entrepreneurial orientation and environmental dynamism: A study of manufacturing organisations885 cited
  • 2021Artificial intelligence-driven innovation for enhancing supply chain resilience and performance under the effect of supply chain dynamism: an empirical investigation794 cited
  • 2019Time to seize the digital evolution: Adoption of blockchain in operations and supply chain management among Malaysian SMEs744 cited
  • 2016The role of Big Data in explaining disaster resilience in supply chains for sustainability648 cited
  • 2020Transforming business using digital innovations: the application of AI, blockchain, cloud and data analytics590 cited
  • 2018A review on supply chain contracting with information considerations: information updating and information asymmetry313 cited
  • 2016Understanding the Factors Affecting the Organizational Adoption of Big Data306 cited

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2018
An exploratory study of Internet of Things (IoT) adoption intention in logistics and supply chain management
304 cited
  • 2013Lean, green and resilient practices influence on supply chain performance: interpretive structural modeling approach291 cited
  • 2015Understanding SaaS adoption from the perspective of organizational users: A tripod readiness model264 cited
  • 2017Agile manufacturing practices: the role of big data and business analytics with multiple case studies216 cited
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