Investigating the Determinants of New Technology Entrepreneurial Performance: an Empirical Study with PLS-SEM and MGA

Abstract

This research studies the internal mechanism of university students’ new technology entrepreneurial performance. We developed a model to identify relevant factors affecting new technology entrepreneurial performance by synthesizing theories of new technology adaption, social networks, and self-determination. Three hundred and sixteen valid responses were received from our survey and analyzed with the partial least squares structural equation model (PLS-SEM) and multiple-group analysis (MGA). The findings show that college students with entrepreneurial family histories rely more on social and industrial networks, whereas those without will seek opportunities from new technology adoption. Risk preference positively moderates the relationship between entrepreneurial intention and performance. Entrepreneurship intention mediates the impact of new technology usefulness, social network, industrial network, survival motivation, achievement motive, and responsibility motive on entrepreneurial performance. Our research helps improve entrepreneurial performance and provides new technology management inspiration.