Numerical labor flexibility and innovation outcomes of start-up firms: A panel data analysis

摘要

AbstractUsing a panel data set based on repeated questionnaire surveys of Japanese start-up firms, this study examines the effects of numerical labor flexibility on the innovation outcomes of start-up firms, a topic on which there is currently insufficient research. Here, numerical labor flexibility is defined as the external labor turnover of regular employees and the proportion of non-regular employees, and innovation outcomes include product innovation and patent applications. The estimation results of a random-effects probit model indicate that an inverted U-shaped relationship exists between the external labor turnover of regular employees and the probability of patent applications. Moreover, a similar U-shaped relationship exists between the proportion of non-regular employees and the probability of product innovation. These results are interpreted in light of the organizational characteristics of start-up firms. The implications of the findings are discussed.Highlights?This study examines how numerical labor flexibility affects the innovation outcomes of start-up firms.?Empirical evidence is based on a Japanese panel data set for the period 2008–2011.?Regular and non-regular employee flexibilities are proxies for numerical labor flexibility.?Regular employee flexibility has an inverted U-shaped relationship with the probability of patent applications.?Non-regular employee flexibility has an inverted U-shaped relationship with the probability of product innovation.]]>