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Author Zheng, Yanfeng ♦ Liu, Jing ♦ George, Gerard
Source CiteSeerX
Content type Text
File Format PDF
Subject Domain (in DDC) Computer science, information & general works ♦ Data processing & computer science
Subject Keyword Value Capability Network Technology Start-ups ♦ Strategy Research ♦ Network Characteristic ♦ Dynamic Relationship ♦ Minimum Distance Estimation Technique ♦ Technology-intensive Start-up Firm Relies ♦ Start-up Firm ♦ Biotechnology Start-ups ♦ Empirical Evidence ♦ Empirical Study ♦ Panel Data ♦ Access Information ♦ Relative Impact ♦ Static Impact ♦ Firm Valuation ♦ Organization Set ♦ Alliance Partner ♦ Firm Network Characteristic ♦ Performance Gain ♦ Internal Capability ♦ Temporal Change ♦ Network Literature ♦ Firm Valuation Decrease ♦ Complementary Asset ♦ Superior Performance ♦ Externally-sourced Network Resource ♦ Internally-developed Capability ♦ Marginal Effect
Abstract Empirical evidence suggests that an organization’s set of capabilities is a resource that influences performance. Similarly, firms seek out alliance partners to access information and other complementary assets. Most empirical studies confirm that a firm’s network characteristics impact its performance. However, both the capabilities and networks literatures tend to explore these issues independently and often focus on the static impact of internally-developed capabilities and externally-sourced network resources on performance. We examine the temporal changes in the relative impact of these resources by investigating the dynamic relationship between capabilities, networks and firm valuation with panel data from 156 biotechnology start-ups and a minimum distance estimation technique. We find that the marginal effect of network characteristics on firm valuation decreases while internal capabilities become more critical over time. 2 The intersection of entrepreneurship and strategy research includes the investigation of factors that influence a start-up firm’s performance and the sustenance of these performance gains over time. Achieving superior performance in technology-intensive start-up firms relies on the successful
Educational Role Student ♦ Teacher
Age Range above 22 year
Educational Use Research
Education Level UG and PG ♦ Career/Technical Study