Big data analytics–AI performance through organisational learning: institutional theory and KBV perspectives

Claude Chien Hung Liu, Chris Sheng Chi Chen

Open source

DOI: 10.1108/jeim-08-2025-0685
Published: 2026-01-09
Container: Journal of Enterprise Information Management
Publisher: Emerald
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1108/jeim-08-2025-0685,
  title = {Big data analytics–AI performance through organisational learning: institutional theory and KBV perspectives},
  author = {Claude Chien Hung Liu and Chris Sheng Chi Chen},
  year = {2026},
  journal = {Journal of Enterprise Information Management},
  doi = {10.1108/jeim-08-2025-0685},
  url = {https://doi.org/10.1108/jeim-08-2025-0685}
}

RIS

TY  - JOUR
TI  - Big data analytics–AI performance through organisational learning: institutional theory and KBV perspectives
AU  - Claude Chien Hung Liu
AU  - Chris Sheng Chi Chen
PY  - 2026
JO  - Journal of Enterprise Information Management
DO  - 10.1108/jeim-08-2025-0685
UR  - https://doi.org/10.1108/jeim-08-2025-0685
ER  -

APA

Liu, C. C. H., & Chen, C. S. C. (2026). Big data analytics–AI performance through organisational learning: institutional theory and KBV perspectives. Journal of Enterprise Information Management. https://doi.org/10.1108/jeim-08-2025-0685

Source records

crossref · retrieved 2026-11-10T14:57:36.372Z