Examining the Diffusion of Innovations from a Dynamic, Differential-Effects Perspective: A Longitudinal Study on AI Adoption Among Employees

Shan Xu, Kerk F. Kee, Wenbo Li, Masahiro Yamamoto, Rachel E. Riggs · 2023 · Communication Research

Summary. This study tracks how employees adopt AI in workplaces over time, finding that job security concerns drive increasingly negative attitudes toward AI. Relative advantage, compatibility, and observability strengthen positive attitudes, while ease of use and trialability have no significant effect. The impact of these factors varies by group: trialability only helps those already positive about AI, while observability and threat concerns matter more to skeptics.

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Xu, S., Kee, K. F., Li, W., Yamamoto, M., & Riggs, R. E.. (2023). Examining the Diffusion of Innovations from a Dynamic, Differential-Effects Perspective: A Longitudinal Study on AI Adoption Among Employees. Communication Research. https://doi.org/10.1177/00936502231191832

@article{xu-2023-examining-diffusion-innovations-dynamic-differential,
  title   = {Examining the Diffusion of Innovations from a Dynamic, Differential-Effects Perspective: A Longitudinal Study on AI Adoption Among Employees},
  author  = {Shan Xu and Kerk F. Kee and Wenbo Li and Masahiro Yamamoto and Rachel E. Riggs},
  journal = {Communication Research},
  year    = {2023},
  doi     = {10.1177/00936502231191832},
  url     = {https://doi.org/10.1177/00936502231191832}
}

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TI  - Examining the Diffusion of Innovations from a Dynamic, Differential-Effects Perspective: A Longitudinal Study on AI Adoption Among Employees
AU  - Shan Xu
AU  - Kerk F. Kee
AU  - Wenbo Li
AU  - Masahiro Yamamoto
AU  - Rachel E. Riggs
JO  - Communication Research
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DO  - 10.1177/00936502231191832
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Details

DOI: 10.1177/00936502231191832
Countries: United States
Regions: North America
Categories: innovation-theory, broadband-and-digital, general-innovation
Added: 2026-04-28