Journal of Entrepreneurship & Management

Open Access Open Access  Restricted Access Subscription Access
Open Access Open Access Open Access  Restricted Access Restricted Access Subscription Access

An Analytical Study of Start-Up Trends:An Indian Perspective


Affiliations
1 Department of Computer Science and Engineering, Chandigarh College of Engineering and Technology (Degree Wing), Chandigarh, India
     

   Subscribe/Renew Journal


With the growing consumer market, India is one of the most favorable places to open a start-up. Various factors that influence the start-ups’ success, change over time. Their effects have to be analyzed properly in order to sustain this ever-evolving fast-changing world of trends. In this paper, we aim to study the most common patterns of funding in Indian start-ups industry and to analyze the current status of these start-ups. Means of interactive graphs have been employed to get an insight of the analysis done on the data set. Various start-ups have been categorized broadly into 8 industry verticals, then the graphs have been presented to show the number of start-ups opened in this category and also about how many of them were unsuccessful or being closed. This paper presents the analysis report to get an insight into present trends of investments in various industries and the success rate of start-ups opened in those industries.

Keywords

Start-ups, Funding, Industry Verticals, Trend Analysis, Preprocessing.
Subscription Login to verify subscription
User
Notifications
Font Size


  • News, L., & News, B. (2019). Govt revises definition of a startup: Everything you need to know about the new norms - Firstpost. [online] Firstpost. Retrieved 12 Feburary 2019 from https://www.firstpost.com/business/govt-revises-definition-of-startups-everything-you-need-to-know-about-changed-norms-4429151.html

  • CII Blog. (2018). Indian Economy in 2018: Current Status, Prospects and Challenges. Retrieved from https://www.ciiblog.in/indian-economy-in-2018-currentstatus-prospects-and-challenges.

  • Sinu, M. (2017). A study on the contribution of startups in the economic development of India. IRACST – International Journal of Commerce, Business and Management (IJCBM), 6(2).

  • Sara, C., & Peter, R. (1998). The financing of male-and femaleowned businesses. Entrepreneurship & Regional Development, 10(3), 225–242.

  • Kaggle.com. (2017). Startup Funding Kaggle. [online] Retrieved 16 January 2018 from https://www.kaggle.com/gsdeepakkumar/startup-funding/data

  • Feldman, R. (2013). Patent demands & startup companies: The view from the venture capital community. Yale JL & Tech., 16, 236.

  • Mattayev, M. (2017). Risk management strategy formation for an ICT startup entering the Russian market.

  • Hussien, F. (2017). A multiple case study on employee engagement and retention at startup companies. Available on Internet.

  • Feldman, R. (2014). Patent demands & startup companies: The view from the venture capital community. Yale Journal of Law and Technology, 16(2), 1.

  • de Oliveira, F. B., & Zotes, L. P. (2018). Valuation methodologies for business startups: A bibliographical study and survey. Brazilian Journal of Operations & Production Management, 15(1), 96–111.

  • Barkema, H. G., & Vermeulen, F. (1998). International expansion through start-up or acquisition: A learning perspective. Academy of Management Journal, 41(1), 7–26.

  • Gatewood, E. J., Shaver, K. G., & Gartner, W. B. (1995). A longitudinal study of cognitive factors influencing start-up behaviours and success at venture creation. Journal of Business Venturing, 10(5), 371–391.

  • Brush, C. G. (1992). Research on women business owners: Past trends, a new perspective and future directions. Entrepreneurship theory and practice, 16(4), 5–30.

  • Track.in. (n.d.). [online]. Retrieved from http://track.in

  • Python.org. (n.d.). Welcome to Python.org. Retrieved from https://www.python.org/

  • Jupyter.org. (n.d.). Project Jupyter. Retrieved from http://jupyter.org/

  • Pandas.pydata.org. (n.d.). Python data analysis library Pandas: Python data analysis library. Retrieved from https://pandas.pydata.org/

  • Seaborn.pydata.org. (n.d.). Seaborn: Statistical data visualization – Seaborn 0.9.0 documentation. Retrieved from https://seaborn.pydata.org/


Abstract Views: 416

PDF Views: 0




  • An Analytical Study of Start-Up Trends:An Indian Perspective

Abstract Views: 416  |  PDF Views: 0

Authors

Rajwinder Singh
Department of Computer Science and Engineering, Chandigarh College of Engineering and Technology (Degree Wing), Chandigarh, India
Sahil Manaktala
Department of Computer Science and Engineering, Chandigarh College of Engineering and Technology (Degree Wing), Chandigarh, India
Ankit Gupta
Department of Computer Science and Engineering, Chandigarh College of Engineering and Technology (Degree Wing), Chandigarh, India
Sunil Kumar Singh
Department of Computer Science and Engineering, Chandigarh College of Engineering and Technology (Degree Wing), Chandigarh, India

Abstract


With the growing consumer market, India is one of the most favorable places to open a start-up. Various factors that influence the start-ups’ success, change over time. Their effects have to be analyzed properly in order to sustain this ever-evolving fast-changing world of trends. In this paper, we aim to study the most common patterns of funding in Indian start-ups industry and to analyze the current status of these start-ups. Means of interactive graphs have been employed to get an insight of the analysis done on the data set. Various start-ups have been categorized broadly into 8 industry verticals, then the graphs have been presented to show the number of start-ups opened in this category and also about how many of them were unsuccessful or being closed. This paper presents the analysis report to get an insight into present trends of investments in various industries and the success rate of start-ups opened in those industries.

Keywords


Start-ups, Funding, Industry Verticals, Trend Analysis, Preprocessing.

References