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Article . 2026
License: CC BY
Data sources: Datacite
ZENODO
Article . 2026
License: CC BY
Data sources: Datacite
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Organisational Agility, Innovation Management and Startup Ecosystem Performance

Authors: Dr. Nitin Sahasrabudhe, Priya Menon;

Organisational Agility, Innovation Management and Startup Ecosystem Performance

Abstract

India's startup ecosystem — 3rd largest globally by unicorn count (115 as of March 2024), home to 99,000+ DPIIT-recognised startups, and generating ₹12.8 lakh crore in cumulative valuation — has emerged as a central driver of India's economic transformation and a testing ground for organisational models that challenge traditional Indian corporate hierarchies. The ecosystem's rapid growth, concentrated in fintech, edtech, healthtech, D2C consumer brands, and emerging deep-tech (space, defence, semiconductor design) sectors, has created a natural experiment in organisational design: comparing agile, flat, purpose-driven startup organisations with traditional large corporate structures on innovation output, employee engagement, and market responsiveness. This study examines organisational agility as a predictor of innovation output and firm performance across 200 Indian startups (seed to Series C stage) and 84 paired large enterprise incumbents in comparable industry sectors, using a validated Organisational Agility Assessment instrument covering five dimensions: strategic sensing, rapid decision-making, resource fluidity, knowledge sharing, and customer co-creation. Agility score is strongly correlated with innovation output (r=0.68, p<0.001) and startup survival probability (hazard ratio: 0.48 for high-agility versus low-agility). The Scrum framework (58% adoption) and Design Thinking (48% adoption) are the two most widely adopted agile methodologies, with adoption rates doubling between 2020 and 2024. The London Business School collaboration contributes the European startup agility benchmarking database enabling India-Europe comparative analysis.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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