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Innovators and transformers: Enhancing supply chain employee training with an innovative application of a large language model
15 references·0 citing·49 second hop
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References

  • 2023ChatGPT and a new academic reality: Artificial Intelligence‐written research papers and the ethics of the large language models in scholarly publishing913 cited
  • 2023Human resource management in the age of generative artificial intelligence: Perspectives and research directions on ChatGPT903 cited
  • 1965Organizational Learning: Observations Toward a Theory490 cited
  • 2023Artificial intelligence in logistics and supply chain management: A primer and roadmap for research470 cited
  • 2020Organizational Learning Processes and Outcomes: Major Findings and Future Research Directions411 cited
  • 2023Are both generative AI and ChatGPT game changers for 21st-Century operations and supply chain excellence?333 cited
  • 2003Putting supply chain learning into practice328 cited
  • 2023Artificial intelligence for supply chain management: Disruptive innovation or innovative disruption?215 cited
  • 2017Supply chain integration: value creation through managing inter-organizational learning190 cited
  • 2023ChatGPT and Publication Ethics158 cited
  • 2019Intervention as a research strategy140 cited
  • 2021i-Pulse: A NLP based novel approach for employee engagement in logistics organization64 cited
  • 2023ChatGPT: Temptations of Progress58 cited
  • 2024“Hello, this is your AI co-pilot” – operational implications of artificial intelligence chatbots

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48 cited
  • 2023Artificial intelligence for supplier scouting: an information processing theory approach43 cited
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