AI-powered startups: leveraging artificial intelligence for competitive advantage

Rakesh Kumar Gupta et al.

International Journal of Knowledge-Based Development2025https://doi.org/10.1504/ijkbd.2025.151400article
AJG 1
Weight
0.50

What the paper says

This study examines startup AI adoption and its effects on business-to-business collaboration, competitiveness, and organisational success, as well as AI adoption best practices and issues. The quantitative study uses a cross-sectional survey of 350 Indian startups by industry and factor and regression analyses to explain AI activities. The analysis found that AI is pervasive, boosting competitive advantage through cost reductions and innovation. AI startups that reduce costs, scale, and improve operations are most likely to succeed. AI's ability to improve customer experience and boost business growth boosts growth and innovation. A strategy plan can overcome high deployment costs, untrained talent, and integration complexity using cost efficiency, talent recruitment, and a good integration process. The report examines how firms may utilise AI to reduce costs, improve process efficiency, and boost customer service to grow. The study's cross-sectional design and lack of longitudinal data to track AI's dynamic effects and changes hinder it.

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https://doi.org/https://doi.org/10.1504/ijkbd.2025.151400

Or copy a formatted citation

@article{rakesh2025,
  title        = {{AI-powered startups: leveraging artificial intelligence for competitive advantage}},
  author       = {Rakesh Kumar Gupta et al.},
  journal      = {International Journal of Knowledge-Based Development},
  year         = {2025},
  doi          = {https://doi.org/https://doi.org/10.1504/ijkbd.2025.151400},
}

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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.