- Gilgamesh Master Thesis Project
- RQ: Why Hardware Startups Fail
- Heider Jeffer hjeffer@unibz.it , hheider.jeffer@gmail.com.
- Supervisor Professor Xiaofeng Wang xiaofeng.wang@unibz.it.
- February 2022
PowerPoint: Why Hardware Startups Fail.pptx
PDF: https://drive.google.com/file/d/1bZvNbYk2SI09rM9WKZpv-oSZDr06BuSe/view?usp=sharing
This thesis addresses the high failure rate of hardware startups, which is often driven by trial-and-error methods and lacks a solid theoretical foundation. The primary research question is: Why do hardware startups fail? The study aims to identify the factors contributing to the failure of hardware startups through a systematic data collection and analysis process.
The main goal is to develop a strategy to extract failure factors from various data sources. The study focuses on analyzing secondary data from CB-Insights and gray literature to identify and categorize these factors.
The research process involves three phases:
- Data Collection: Using predefined keywords to search and gather data from Google and CB-Insights.
- Data Analysis: Coding and categorizing the collected data to identify failure factors.
- Data Storage: Storing the research material in an open-source repository named Gilgamesh on GitHub.
The study identifies 17 major failure factors, which are grouped into five categories:
- Customer & Market
- Hardware Product & Experts
- Financial Issues
- Lack of Business Model
- Legal Issues
Critical factors include product strategy mistakes, pricing issues, and poor product quality.
- The study highlights the need for further research in the field of hardware startup failures.
- Provides a systematic approach for data collection and analysis that can benefit future research.
- Suggests guidelines for improving the depth and width of research by including video and audio data and adjusting search keywords.
- The study relies on secondary data from gray literature and self-reported sources, which may limit the accuracy and comprehensiveness of the findings.
- There is a lack of previous research on hardware startup failures, making this an exploratory study.
- Expand data collection to include video and audio formats.
- Adjust search keywords to encompass a broader range of hardware startups, including IoT devices.
- Introduction: Discusses the problem, motivation, research process, and results.
- Background and Related Work: Provides definitions and context for hardware startups and their failures.
- Research Approach: Details the data collection, analysis methods, and the Gilgamesh repository.
- Research Findings: Presents the identified failure factors and categorizes them.
- Discussion: Analyzes the most critical failure factors and the limitations of the study.
- Conclusions and Implications for Future Research: Summarizes the findings and suggests directions for further research.
This thesis contributes to understanding why hardware startups fail by identifying key failure factors and providing a methodological approach for future research. It emphasizes the importance of a structured data collection and analysis process and suggests potential improvements for future studies.