This dissertation, comprised of three essays, examines the influence of nascent information technologies including social media and artificial intelligence on facilitating the scaling process of entrepreneurial ventures. Through large-scale empirical analyses, this dissertation studies how social media and artificial intelligence can help start-ups improve financing outcomes, institutional environments and product performances, and whether such nascent information technologies will mitigate or exacerbate the existing disparities in the domain of entrepreneurship.In the first essay, we examine whether social media use can improve funding outcomes for start-up firms, especially those founded by women and by other people also lacking connections to the investor network. Using Twitter data and start-up investment data from Crunchbase, we show that social media can mitigate some disparities in financing experienced by these firms through improving information access. We find this effect is stronger for first-time entrepreneurs than for experienced ones, stronger for attracting new investors than repeat ones, and stronger in more competitive markets. In the second essay, using comprehensive start-up data in China, we find that social media activities can help companies that possess few political connections to obtain institutional resources. They are more likely to receive administrative approvals from the government to conduct their primary business activities. They are also more likely to receive positive media coverages. We find that social media can not only help these companies broadcast quality signals, but also direct public opinion and mobilize public support, all of which are essential to establish public legitimacy. In the third essay, we investigate the role of the lean start-up method (LSM) in explaining the impact of AI capability on product innovations in start-ups. We find that companies that adopt general AI capability create more innovative products every year, including both novel and incremental products. We also find that AI investments complement LSM in product innovations, and the complementarities depend on the type of product innovations and the type of AI used.