Critical Business Decision Making for Technology Startups -- A PerceptIn Case Study
Shaoshan Liu

TL;DR
This case study examines how PerceptIn, an autonomous vehicle startup, navigated critical business decisions under constraints, offering insights valuable for entrepreneurs and managers in tech startups.
Contribution
It provides a detailed account of decision-making processes in a real startup, highlighting practical approaches under uncertainty and resource limitations.
Findings
Decision process details for autonomous vehicle computing systems
Insights into balancing analysis and judgment in startup decisions
Implications for entrepreneurial decision-making under constraints
Abstract
Most business decisions are made with analysis, but some are judgment calls not susceptible to analysis due to time or information constraints. In this article, we present a real-life case study of critical business decision making of PerceptIn, an autonomous driving technology startup. In early years of PerceptIn, PerceptIn had to make a decision on the design of computing systems for its autonomous vehicle products. By providing details on PerceptIn's decision process and the results of the decision, we hope to provide some insights that can be beneficial to entrepreneurs and engineering managers in technology startups.
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Taxonomy
TopicsIoT and Edge/Fog Computing · Scientific Computing and Data Management · Modular Robots and Swarm Intelligence
