Abstract
This study aims to contribute to the extensive literature on transnational entrepreneurship by investigating the relationship between seven categorical independent variables (IVs) and a dichotomous dependent variable within the ASEAN-X group. Specifically, a large dataset from the World Bank, OECD, InBIA, and Southeast Asia Ecosystem Report provided a sample of N = 967. A binary logistic regression model was used to analyze the study questions and hypotheses following the Transnational Entrepreneurship (TE) theory. The modelling results reported that the remittances measured by total transaction costs (WaldX2 = 22.49, df = 5, p < .001), entrepreneurs’ age (WaldX2 = 11.78, df = 4, p =.019), entrepreneurs’ education (WaldX2 = 48.33, df = 3, p < .001), and business incubators’ ownership or status (WaldX2 = 14.97, df = 2, p = .001) potentially gauged the success of startup businesses. Future studies should also emphasize the implications of phenomenon-based research in business and society to identify specific theories based on the lived experiences.
Highlights
In many Asian countries, migrant workers’ remittances and money transfers from various community members were regarded as significant income sources that remarkably affected the recipients’ economic standing
This study aims to contribute to the extensive literature on transnational entrepreneurship by investigating the relationship between seven categorical independent variables (IVs) and a dichotomous dependent variable within the ASEAN-X group
For research question 1, the predictor variable was linked to Transnational Entrepreneurship (TE) literature and startup success (Frid et al, 2016; Maier, 2016; McGowan, 2018; Slimane & Rousseau, 2020; Yang & Aldrich, 2017), the study results revealed a significant relationship between remittances in terms of total transaction cost and startup success in terms of equity funding within the 10 ASEAN countries
Summary
In many Asian countries, migrant workers’ remittances and money transfers from various community members were regarded as significant income sources that remarkably affected the recipients’ economic standing. An estimated 258 million people lived abroad in 20 17 and denoted an approximate increase of 38 million in 2010 (United Nations, 2017). Developed countries accommodated approximately two-thirds (165 million) of the population born overseas in 2017 (United Nations, 2017). The official record of estimated remittances received by developing countries in 2016 was $429 billion (World Bank, 2017). The number highlighted the official development assistance (ODA) level by over three times in developing nations since 2000 (World Bank, 2017). The estimates could reflect numbers below the official count following other unofficial back channels involved in money transfers. The perpetual rise of migrant and non-immigrant populations in developed countries simultaneously reflected an increase
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