The Impact of Social Media on Venture Capital Financing: Evidence from Twitter Interactions

Bayar, Onur; Kesici, Emre

doi:10.2139/ssrn.3711796

Cited by 1 publication

(1 citation statement)

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“…The effect sizes of number of original tweets vary between 0.067 and 0.08 across different models. Bayar and Kesici (2020) also concluded that the number of original tweets lead to increased number of funding rounds and funding received by the start-up. Number of retweets are not a significant predictor for amount of funds raised; thus H2b is rejected.…”

Section: Resultsmentioning

confidence: 99%

Does social media activity lead to more funds? – A study on Indian start-ups

Singhal

Kapur

2022

JEEE

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Purpose This study aims to examine the impact of signaling through social media (SM) on funding achieved by start-ups. Design/methodology/approach This study follows a causal research design and is based on unique data set compiled from Crunchbase-Pro and Twitter. The sample size is 1,672 Indian start-ups. Heckman’s model and ordinary least squares regression is used to test the hypothesis. Findings Devising a thoughtful SM strategy, should be an integral part of the overall strategy of the start-ups looking out for funds. LinkedIn presence is in itself a positive signal. Active usage of Twitter and feedback from other Twitter users has a positive impact on funds raised by the start-up. Posting retweets and repetitive usage of URLs and media is not a predictor of funds raised by the start-up. Practical implications An early-stage strategy on SM adoption, especially Twitter can play an important role in attracting interest and attention of stakeholders. To capitalize SM, entrepreneurs should maintain an active SM account of the start-up. Originality/value India has emerged as one of the start-up hubs of the world. However, there is a dearth of literature on SM usage by start-ups in India. To the best of the authors’ knowledge, this study is first of its kind and establishes the results empirically based on more than 100k tweets for a large pool of Indian start-ups.

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Section: Resultsmentioning

confidence: 99%