Uncovering Hierarchical Asymmetries in Artificial Intelligence Transformation: Navigating the Bright and Dark Sides Across Organizational Levels

Seongkyun Seo, Joung-il Park, Minho Lee, Seunghee Yoo, Un-Kon Lee, Cheong Kim

Open source

DOI: 10.3791/70756
Published: 2026-05-12
Container: Journal of Visualized Experiments
Publisher: MyJove Corporation
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.3791/70756,
  title = {Uncovering Hierarchical Asymmetries in Artificial Intelligence Transformation: Navigating the Bright and Dark Sides Across Organizational Levels},
  author = {Seongkyun Seo and Joung-il Park and Minho Lee and Seunghee Yoo and Un-Kon Lee and Cheong Kim},
  year = {2026},
  journal = {Journal of Visualized Experiments},
  doi = {10.3791/70756},
  url = {https://doi.org/10.3791/70756}
}

RIS

TY  - JOUR
TI  - Uncovering Hierarchical Asymmetries in Artificial Intelligence Transformation: Navigating the Bright and Dark Sides Across Organizational Levels
AU  - Seongkyun Seo
AU  - Joung-il Park
AU  - Minho Lee
AU  - Seunghee Yoo
AU  - Un-Kon Lee
AU  - Cheong Kim
PY  - 2026
JO  - Journal of Visualized Experiments
DO  - 10.3791/70756
UR  - https://doi.org/10.3791/70756
ER  -

APA

Seo, S., Park, J., Lee, M., Yoo, S., Lee, U., & Kim, C. (2026). Uncovering Hierarchical Asymmetries in Artificial Intelligence Transformation: Navigating the Bright and Dark Sides Across Organizational Levels. Journal of Visualized Experiments. https://doi.org/10.3791/70756

Source records

crossref · retrieved 2026-09-25T06:17:18.498Z