CHAPTER 9: CONCLUSION AND FUTURE WORK
9.3 Vision for the future
9.3.2 Application of Results to China’s Startup Environment
9.3.1.7 Relationship between Number of Investments Relationships Formed and total number of Companies/Investors over time
We are interested in comparing the number of investment relationships formed against the following:
• Total Number of Companies – does having more companies lead to more investments?
• Total Number of Financial Organizations – does having more financial organizations lead to more investments?
• Total Number of People who are investors– does having more individual investors lead to more investments?
The findings might be useful for governments who are implementing policies that attract either financial organizations or rich individual investors.
9.3.1.8 Entity Resolution
The CrunchBase dataset while rich in its graph structure and entities, it represents a severe lack of details when it comes to social relationships. For example, there is not information regarding when an employee leaves Company A and joins Company B. This makes it difficult to rebuild the social graph based on time stamps.
To combat the above issues, entity resolution where information regarding social relationships has to be pieced from external databases or simply via Google search.
9.3.2 Application of Results to China’s Startup Environment
Comparisons are often made between the US and China, due to differing cultures, racial makeup, socio-political system and to a certain extent the economic system. Therefore, a good way to test the generalizability of the results of this research work is to apply the research result on China’s startup environment.
9.3.2.1 Importance of Work: A Trillion Dollar Question
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Applying the results and findings to China’s start up environment is an important one. It not only allows us to test for generalizability of our research, it also serves as a basis for governments or organization looking to strengthen industries. More importantly, “it’s not a million dollar question. It’s a trillion dollar question.” according Robin Li, CEO of Baidu16 during Stanford’s Entrepreneurial Thought Leaders Lecture Series, in response to the audience question on the emergence of a Silicon Valley entrepreneurial ecosystem in China. Robin Li further added that many Chinese, especially the government, want to find out what it takes to create a Silicon Valley like ecosystem in China. The above means that China and possibly other countries are also interested in how to kick start their start up and or investing environment. Governments or organizations may want to make use of the prediction models, trends and varying guidelines and create policies that foster a healthy environment for both companies and investors in their own countries.
9.3.2.1 Application of Prediction Model, Trends and Guidelines
The findings of this research such as the prediction model, trends and guidelines will be applied in the same manner as what is done to the CrunchBase dataset. The results derived based on the Chinese environment will then be compared with those of the CrunchBase dataset.
The mentioned vision and applications capture our sense for the beginning of a better way to start researching into startups and investment that will allow us to tackle the problem in predictable and quantifiable manner; with prediction models and general trends in place, organizations, governments, individuals, startup owners and investors will have a better sense as to how in investments in startups evolve, what their criteria may be, and most importantly, create an environment conducive to startups.
Finally, we hope that our research serves as an important start for researchers concerned about startup investing and related issues.
16 http://www.baidu.com/
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