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References

Full reference list from the Analytical Report, in APA format.

  • Agentic AI in engineering and manufacturing: Industry perspectives on utility, adoption, challenges, and opportunities. (2026). arXiv. https://arxiv.org/html/2604.09633v1
  • American Society for Quality. (n.d.). About ASQ. https://asq.org/
  • IDC. (2025, November 12). Charting the AI-driven future of manufacturing. https://blogs.idc.com/2025/11/12/charting-the-ai-driven-future-of-manufacturing/
  • Institute for Operations Research and the Management Sciences. (n.d.). About INFORMS. https://www.informs.org/About-INFORMS
  • Institute of Industrial and Systems Engineers. (n.d.). About IISE. https://www.iise.org/details.aspx?id=282
  • Institute of Industrial and Systems Engineers. (2026). IISE Annual Conference & Expo 2027. https://www.iise.org/
  • Kinkel, S., Baumgartner, M., & Cherubini, E. (2022). Prerequisites for the adoption of AI technologies in manufacturing: Evidence from a worldwide sample of manufacturing companies. Technovation, 110, 102375. https://doi.org/10.1016/j.technovation.2021.102375
  • Manufacturing Dive. (2026, February 23). 2026: The year agentic AI transforms industrial manufacturing. https://www.manufacturingdive.com/spons/2026-the-year-agentic-ai-transforms-industrial-manufacturing/812536/
  • Markel, M., & Selber, S. (2020). Technical communication (13th ed.). Bedford/St. Martin's.
  • Research.com. (2026, May 15). Is demand for industrial engineering degree graduates growing or declining? https://research.com/advice/is-demand-for-industrial-engineering-degree-graduates-growing-or-declining
  • RTInsights. (2026, April 25). Smart manufacturing trends 2026: AI, IoT, and automation. https://www.rtinsights.com/smart-manufacturing-trends-2026-how-ai-iot-and-automation-are-driving-efficiency-and-resilience/
  • Tornatzky, L. G., & Fleischer, M. (1990). The processes of technological innovation. Lexington Books.
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