Perceptions toward Artificial Intelligence among Academic Library Employees and Alignment with the Diffusion of Innovations’ Adopter Categories

Brady Lund, Isaiah Michael Omame, Solomon Tijani, Daniel Agbaji · 2020 · College & Research Libraries

Summary. This study surveyed academic librarians about their perceptions of artificial intelligence and how they adopt new technologies. Researchers matched librarians' adoption patterns to Rogers' Diffusion of Innovations model categories—innovators, early adopters, early majority, late majority, and laggards. The findings show how librarians' self-identified adoption categories relate to their knowledge and attitudes toward AI in library settings, offering insights for managing technology adoption among library staff.

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@article{lund-2020-perceptions-toward-artificial-intelligence-among,
  title   = {Perceptions toward Artificial Intelligence among Academic Library Employees and Alignment with the Diffusion of Innovations’ Adopter Categories},
  author  = {Brady Lund and Isaiah Michael Omame and Solomon Tijani and Daniel Agbaji},
  journal = {College & Research Libraries},
  year    = {2020},
  doi     = {10.5860/crl.81.5.865},
  url     = {https://doi.org/10.5860/crl.81.5.865}
}

TY  - JOUR
TI  - Perceptions toward Artificial Intelligence among Academic Library Employees and Alignment with the Diffusion of Innovations’ Adopter Categories
AU  - Brady Lund
AU  - Isaiah Michael Omame
AU  - Solomon Tijani
AU  - Daniel Agbaji
JO  - College & Research Libraries
PY  - 2020
DO  - 10.5860/crl.81.5.865
UR  - https://doi.org/10.5860/crl.81.5.865
ER  - 

Details

DOI

10.5860/crl.81.5.865

Countries

United States, Nigeria

Regions

North America, Africa

Categories

innovation-theory, broadband-and-digital, general-innovation

Added

2026-04-28