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Measuring the Subjective Value of Risky and Ambiguous Options using Experimental Economics and Functional MRI Methods
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Funding Innovation and Risk: A Grey-Based Startup Investment Decision.

Manoj Kumar Srivastava1, Ashutosh Dash1, Imlak Shaikh1

  • 1Management Development Institute, Gurgaon, India.

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Summary
This summary is machine-generated.

Venture capitalists (VCs) can optimize early-stage tech startup investments by considering key attributes. Agritech emerges as the top investment choice, followed by e-commerce and edutech, according to a novel grey system theory approach.

Keywords:
grey system theorymulti-criteria decision-makingstartup fundingtech startupsventure capital

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Area of Science:

  • Decision Science
  • Venture Capital Investment
  • Technology Management

Background:

  • Venture capitalists (VCs) face decision-making challenges due to information overload in India's startup ecosystem.
  • Bounded rationality and cognitive biases influence VC investment decisions.
  • Understanding factors driving early-stage tech venture funding is crucial.

Purpose of the Study:

  • To identify key attributes influencing early-stage investment decisions in tech startups.
  • To propose an optimal decision-making approach for VCs using grey system theory.
  • To rank tech startup sectors for venture capital investment.

Main Methods:

  • Literature review to identify eight key investment attributes.
  • Expert interviews to determine eight key tech sectors.
  • Grey system theory, including linguistic variables and grey possibility degree, for ranking startups.

Main Results:

  • Agritech is identified as the top-ranked sector for early-stage VC investment.
  • E-commerce and edutech are ranked second and third, respectively.
  • Other ranked sectors include electric vehicle infrastructure, insurtech, fintech, space tech, and software as a service.

Conclusions:

  • The study provides a data-driven framework for VCs to navigate early-stage investment decisions.
  • Agritech presents a high-potential sector for venture capital funding.
  • The grey system theory approach offers a robust method for ranking tech startups in dynamic markets.