• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.18 no.3
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• pp.141-156
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• 2023

Due to the unprecedented worldwide pandemic of the new Covid-19 infection, business trends of companies have changed significantly. Therefore, it is strongly required to monitor the rapid changes of innovation trends to design and plan future businesses. Since the pandemic, many studies have attempted to analyze business changes, but they are limited to specific industries and are insufficient in terms of data objectivity. In response, this study aims to analyze business trends after Covid-19 using Crunchbase, a global startup data. The data is collected and preprocessed every two years from 2018 to 2021 to compare the business trends. To capture the major trends, a network analysis is conducted for the industry groups and industry information based on the co-occurrence. To analyze the minor trends, LDA-based topic modelling and word2vec-based clustering is used. As a result, e-commerce, education, delivery, game and entertainment industries are promising based on their technological advances, showing extension and diversification of industry boundaries as well as digitalization and servitization of business contents. This study is expected to help venture capitalists and entrepreneurs to understand the rapid changes under the impact of Covid-19 and to make right decisions for the future.

• Smart Media Journal
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• v.12 no.3
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• pp.93-101
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• 2023

In this paper, we investigate the relationship between a company's Intellectual Property (IP) portfolio strength and its success in obtaining venture funding in the Korean digital media & entertainment industry. Using data from 685 Korean digital media & entertainment companies registered in Crunchbase, a global database provider of venture funding information, we found that a strong IP portfolio is positively associated with funding success. Furthermore, our study revealed that the effect of IP portfolio strength on funding success is stronger for younger companies, suggesting that IP portfolio is more critical for firms that have less reputation and track record.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.15 no.5
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• pp.1-11
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• 2020

Increasing the number of unicorn startups has recently received much attention. In this study, we attempt to investigate that startups achieving an extremely high valuation could postpone their exit to raise more investment and receive more benefits. This study tested the hypotheses using data from Crunchbase, World Bank, Global Competitiveness Report, and Global Entrepreneurship Monitor. Using 140 unicorn startups that have already exited through an initial public offering (IPO) or mergers and acquisitions (M&A), we find out that unicorn startups tend to acquire higher valuation as their investment duration increases. Furthermore, we also examined the moderating effects of governmental policy and institutional distance from foreign investors in order to consider the institutional aspects of startups. The results of the moderating variables show significant supports. We expect to provide a better understanding with respect to making an exit decision of unicorn startups. Furthermore, managers and investors need to acknowledge the institutional factors of startups when they decide to fund.

• The Journal of Asian Finance, Economics and Business
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• v.7 no.7
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• pp.95-104
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• 2020

This study examines the effect of fintech on retail banks stock return listed in Indonesia Stock Exchange for the period of 2016-2018 as today's new technology lead to the emergence of fintech companies playing the same role as retail banks in the financial industry. This study is conducted quantitatively using monthly data from January 2016 to October 2018 and uses fintech as independent variable, proxied by fintech funding frequency and fintech funding value. Data transformation is conducted due to data volatility. The data of fintech funding, both frequency and value, is transformed into standardized fintech funding and growth of fintech funding. The data is obtained from Crunchbase, while the data of stock returns is obtained from Investing. This study further analyzes the data using Fama French Three-Factor Model and panel data regression. We found that fintech has no significant effect on retail banks' stock returns listed in Indonesia Stock Exchange for the period of 2016-2018. The findings of the study provide some useful insights in understanding fintech companies' current position to retail banks in Indonesia. This study also suggests banking institutions, fintech companies, policy-makers, and others to take advantageous steps in building inclusive financial sectors.