Papers to refer:
1. Reasons of failure:
https://stumejournals.com/journals/i4/2017/5/238
Cite data: BibTex:
@article{bednar2017indicators,
title={Indicators of startup failure},
author={Bedn{\'a}r, Richard and Tari{\v{s}}kov{\'a}, Nat{\'a}lia},
journal={Industry 4.0},
volume={2},
number={5},
pages={238--240},
year={2017},
publisher={Scientific Technical Union of Mechanical Engineering" Industry 4.0"}
}

2. Benefits of accelerators:
https://www.researchgate.net/profile/Mark-Quinn-13/publication/346230196_Data_Driven_Analysis_of_Startup_Accelerators/links/60a290b792851c186a629edf/Data-Driven-Analysis-of-Startup-Accelerators.pdf
Cite data: BibTex:
@article{regmi2015data,
title={Data driven analysis of startup accelerators},
author={Regmi, Krishna and Ahmed, Syed Adeel and Quinn, Mark},
journal={Universal Journal of Industrial and Business Management},
volume={3},
number={2},
pages={54--57},
year={2015}
}

3. Misc. Study of Indian incubators:
http://vslir.iima.ac.in:8080/jspui/bitstream/11718/23009/1/WP_2020_03_01.pdf
Cite data: BibTex:
@article{sharma2020incubation,
title={Incubation in India--A multilevel analysis},
author={Sharma, Supriya and Vohra, Neharika},
year={2020},
publisher={Indian Institute of Management Ahmedabad}
}

4. Factors affecting choice of incubators:
https://ir.library.carleton.ca/pub/12247
Cite data: BibTex:
@article{isabelle2013key,
title={Key factors affecting a technology entrepreneur's choice of incubator or accelerator},
author={Isabelle, Diane},
journal={Technology innovation management review},
pages={16--22},
year={2013}
}

# Use Cases
[cite paper 2] Hackett and Dilts (2004; p.57) define an incubator as ‘a shared office space facility that seeks to provide its incubatees…with a strategic, valueadding intervention system (i.e. business incubation) of monitoring and business assistance’. Notwithstanding the variety and evolution in models and services offered, incubators are primarily focused on improving the success rate of new ventures (Dettwiler et al., 2006, Schwartz, 2013) by helping them overcome their liability of newness and smallness (Mireftekhari, 2017).
[cite paper 1] According to an analysis of 101 startup failures, it has been shown that 9 out of 10 startups fail in one-three years which is 40% riskier than standard business models.
[cite paper 1] Bednár and Tarišková found that 44% startups fail due to either the absense of investors or the lack of the demand for the product/service in the market. And startups fail in more than 90% of cases.
[cite paper 2] Incubators provide startups with funding, networking (with venture capitalists), product and business advices, validation and peer support. [Regmi, Ahmed, Quinn] increase the chances of a startup survival by 25%.
[cite paper 4] Hence it becomes imperative for a startup (entrepreneur) to evaluate the incubators and seek out the optimal match for them. Major factors affecting such evaluation include the fit between the startup's needs and the incubator's mission, and sector focus and the nature of services.
[no citation] This recommendation system generates recommendation for the entrepreneurs about the incubators with whom they are estimated to have good fit in terms of the needs of startup and the sector focus of the incubator.

-> First 2 paras describe the problem and the seriousness of the problem

-> Third para goes into more detail (main usecase), fourth para is its solution

-> 5,6,7 paras are sub usecases with their solution

---

-> Highlight the problem and its seriouness

-> Main use case and Solution

-> 1 sub usecases with their solution

3 paragraphs

-> Startups can use it to get a list of preferred incubators

-> Incubators can use it to see what startups they are being recommended to and proactively encourage them to apply

x [cite paper 2] Hackett and Dilts (2004; p.57) define an incubator as ‘a shared office space facility that seeks to provide its incubatees…with a strategic, valueadding intervention system (i.e. business incubation) of monitoring and business assistance’. Notwithstanding the variety and evolution in models and services offered, incubators are primarily focused on improving the success rate of new ventures (Dettwiler et al., 2006, Schwartz, 2013) by helping them overcome their liability of newness and smallness (Mireftekhari, 2017).
x [cite paper 1] According to an analysis of 101 startup failures, it has been shown that 9 out of 10 startups fail in one-three years which is 40% riskier than standard business models.
x [cite paper 1] Bednár and Tarišková found that 44% startups fail due to either the absense of investors or the lack of the demand for the product/service in the market. And startups fail in more than 90% of cases.
x [cite paper 2] Incubators provide startups with funding, networking (with venture capitalists), product and business advices, validation and peer support. [Regmi, Ahmed, Quinn] increase the chances of a startup survival by 25%.

x [cite paper 4] Hence it becomes imperative for a startup (entrepreneur) to evaluate the incubators and seek out the optimal match for them. Major factors affecting such evaluation include the fit between the startup's needs and the incubator's mission, and sector focus and the nature of services.
x [no citation] This recommendation system generates recommendation for the entrepreneurs about the incubators with whom they are estimated to have good fit in terms of the needs of startup and the sector focus of the incubator.

# FINAL - 362 words
Incubators focus on improving the success rate of new ventures by helping them through mechanisms like networking , product development, validation, market access and importantly in generating funds . This helps startups to overcome their liability of inexperience and smallness and increase their chances of survival. [2]
However, finding incubators which are optimally matched with specific requirements of the startup in different phases of its growth will lead to better outcomes from incubation. Our platform helps a startup to find and evaluate incubators to make an informed choice. Further it also saves the startup’s time by only recommending those incubators where the probability of getting selected is high.
The recent proliferation of incubators in India has made it challenging to attract high growth potential startups . Currently outreach activities like competitions/hackathons etc. along with social media marketing are employed for the purpose. These methods are resource intensive and often have low conversion . High performing or domain specific startups are far more difficult to capture.Our platform improves this process by providing incubators with the metadata of startups to whom the incubator was recommended. This will help in target marketing and with higher conversion rate as the startup is already aware of the facilities and strengths of the incubator.

# Conclusion and Further Scope

We have tested our web app with a few startups and have found that the platform efficiently matches startup requirements and incubator strengths, reducing the wastage of time and money for both incubators and startups seeking incubation.

Our learnings from the beta testing suggest that the following improvements will add value. In the current version of the model, each startup's preferences are same as their industry peers as per \eqref{industryneeds} . However, incubation needs can vary widely among startups in the same industry based on founder skills, amount of previous experience, product stage and target customer segment.

As our platform builds a strong database, a meaningful dataset will be generated that can aggregate incubator performance on location to serve as a baseline for policymakers to develop causation studies on systemic flaws leading to the same. To maintain patient privacy while sharing data, we plan to use homomorphic encryption techniques. $ExposureScore_I$ must also include incubator's connections with government agencies and legacy media outlets.

# Cloud