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All Journal Applied Quantitative Analysis (AQA)
Hans, Benedictus
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Decision Sciences, Operations Research & Management Mathematics Social Sciences

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Applying Multiple Linear Regression Method to Measure the Impact of Human Capital, Social Media, Business Sector and Founder Gender on Advanced-Stage Startup Funding in Indonesia Hans, Benedictus; Prasetio, Eko Agus
Applied Quantitative Analysis Vol. 3 No. 2 (2023): December 2023
Publisher : Research Synergy Foundation

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31098/quant.2039

Abstract

In recent years, there has been a significant increase in the growth of startups, particularly in developing nations. There are numerous opportunities for startups to innovate as a result of the rapid growth of technology, which can be utilized to better the lives of a great number of people in a variety of fields. Pioneering startups must place a significant emphasis on investment as it is a critical determinant in sustaining business growth and innovation. A multitude of organizations are compelled to cease operations and innovation as a result of insufficient financial resources. Often, venture capital (VC) firms or angel investors provide financial support to startups. Each year, a venture capitalist may assess thousands of funding proposals from startups. It signifies that venture capital entry is competitive for each startup. The many factors that influence a venture capitalist's decision to invest in a startup have been the subject of numerous studies. This study employs a multiple linear regression model to examine the influence of human capital, social media, the business sector, and entrepreneur gender on funding for advanced-stage startups in Indonesia.
Co-Authors Eko Agus Prasetio