• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.14 no.6
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• pp.59-76
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• 2019

Most technology-based entrepreneurship(TBE) go through an process of decline or disappear without overcoming the valley of death(VoD). The purpose of this study is to identify the growth dimension of TBE and to test the influence of firms activities on firms growth over time. This study identified the two-dimensional growth dimension divided by size and profit through exploratory factor analysis(EFA) of a number of growth indicators. Then, we defined the discrete state of growth firm in four states, divided by size and profit, and five states, including the closure of business. Multi-nomial logit model is used to predict the effect of TBE activities on a discrete state of growth firm(size×profit, closure of business) based on multiple independent variables. The independent variables are based on five representative firms activities: employment, marketing, R&D, financial activities, and general management activities. The growth stage of TBE over time has been categorized into three stages: early stage, middle stage, and late stage of business, taking into account the main periods during which the survival rate of startups sharply decreases. The analytical data of this study was based on the secondary data of the start-up supporting companies of government and public institutions. The subjects of analysis were TBE within 10 years. As a result of the empirical analysis, the employment and marketing activities of TBE show that early and mid-term activities had an effect on the state of firms growth. However, if there is a difference, employment activities have both positive and negative effects, while marketing activities have only a positive effect on size and profit growth. And besides, R&D activities, financial activities, and general management activities throughout the entire process of firms growth were found to be firms activities that have both positive and negative effects on firms growth. In addition, the age of the founder, the firms' industry, and the geographic location of the firms, which are general characteristics of the company, were found to have a distinctive effect on the growth status of the firms according to the growth stage.

• Journal of Labour Economics
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• v.25 no.1
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• pp.161-182
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• 2002

The self-employment can provide work time flexibility. Work time flexibility would be a critical factor for married females' labor supply considering allocation of their time to market work and household work. This study used the 1998 and 2000 Korea Labor and Income Panel Survey for the empirical analyses. Applying the bivariate probit model with partial observability, this study analyzed factors related to the choice of participation in labor market and choice of self-employment. Also, this study examined the effects of marriage and the presence of younger children on changes in decisions related to labor supply using the multinomial logit model: exit from the labor market, increasing and decreasing work hours. The presence of the younger children showed a significantly negative effect on the participation in labor market while positive, but insignificant, effect on self-employment. Compared with females working for others, self-employers without employees and unpaid family workers are less likely to exit labor market rather than increasing work hours. The self-employment would be a good alternative to evade females' career interruption and therefore to enhance the potential human resources.