Artificial Intelligence and Its Impact on Resistance to Change: A Qualitative Study

Smitha Kothari Badola

Minnesota Journal of Business Law and Entrepreneurship2026https://doi.org/10.52783/mjble.92article
ABDC B
Weight
0.50

What the paper says

The transformative effects of artificial intelligence on workforce skills, leadership, organisational practices, and employee attitudes toward change are all examined in this study. It examines AI adoption, ethical issues, algorithmic bias, transparency, and trust as well as human reactions like resistance, anxiety, and adaptability by drawing on interdisciplinary literature. The results emphasise how governance frameworks, organisational culture, and leadership all play a part in facilitating appropriate AI integration. To achieve sustained performance, emphasis is placed on skill transformation, employee well-being, and ethical accountability. The study advances knowledge on how businesses might, during AI-driven change, strike a balance between technical innovation and human-centric values.

Open paper page →

Cite this paper

https://doi.org/https://doi.org/10.52783/mjble.92

Or copy a formatted citation

@article{smitha2026,
  title        = {{Artificial Intelligence and Its Impact on Resistance to Change: A Qualitative Study}},
  author       = {Smitha Kothari Badola},
  journal      = {Minnesota Journal of Business Law and Entrepreneurship},
  year         = {2026},
  doi          = {https://doi.org/https://doi.org/10.52783/mjble.92},
}

Paste directly into BibTeX, Zotero, or your reference manager.

Flag this paper

Artificial Intelligence and Its Impact on Resistance to Change: A Qualitative Study

Flags are reviewed by the Arbiter methodology team within 5 business days.


Evidence weight

0.50

Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40

F · citation impact0.50 × 0.4 = 0.20
M · momentum0.50 × 0.15 = 0.07
V · venue signal0.50 × 0.05 = 0.03
R · text relevance †0.50 × 0.4 = 0.20

† Text relevance is estimated at 0.50 on the detail page — for your query’s actual relevance score, open this paper from a search result.