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Measuring the influence of transformational leadership on interplay between artificial intelligence, job meaningfulness and turnover intentions: Observations from Indian IT sector

Rai Shweta & Aneesya Panicker

Journal of Strategy & Innovation2025https://doi.org/10.1016/j.jsinno.2025.200534article
ABDC C
Weight
0.44

What the paper says

The present study examines the influence of artificial intelligence (AI) on job meaningfulness (JM) and turnover intention (TI) in the context of Indian IT industry. From the theoretical perspective of socio-technical systems theory, this study incorporates artificial intelligence, job meaningfulness, turnover intentions and transformational leadership into a conceptual framework model. The research examines transformational leadership as a moderator influencing the relationship between artificial intelligence, job meaningfulness and turnover intention. A total of 463 samples were examined for this study for which data collection was done through online questionnaire using convenience sampling distributed among employees of IT sector located in Delhi-NCR, India. Findings of the study reveals that artificial intelligence is positively correlated with job meaningfulness and negatively correlated with turnover intentions. The study revealed transformational leadership significantly moderates the link between artificial intelligence, job meaningfulness and turnover intentions. Additionally, keeping National Education Policy (NEP) of India in mind, this study offers implications not only for researchers, organizations but for educational institutions as well. • Transformational leadership aid change integrating AI for innovation and success. • With AI as the future, NEP 2020 suggests including AI in school curriculum. • AI is here to stay, reshaping work; managers must adapt and leverage it. • AI integration in IT impacts job meaningfulness & turnover, vital work outcomes.

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https://doi.org/https://doi.org/10.1016/j.jsinno.2025.200534

Or copy a formatted citation

@article{rai2025,
  title        = {{Measuring the influence of transformational leadership on interplay between artificial intelligence, job meaningfulness and turnover intentions: Observations from Indian IT sector}},
  author       = {Rai Shweta & Aneesya Panicker},
  journal      = {Journal of Strategy & Innovation},
  year         = {2025},
  doi          = {https://doi.org/https://doi.org/10.1016/j.jsinno.2025.200534},
}

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Evidence weight

0.44

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

F · citation impact0.32 × 0.4 = 0.13
M · momentum0.57 × 0.15 = 0.09
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.