기술창업기업의 데이터 기반 리스크 테이킹과 경영성과의 관계: 도전적 성장지향성의 조절효과

초록

In recent years, the industrial landscape has shifted from one dominated by traditional manufacturing, distribution, and logistics industries to one increasingly led by startups equipped with advanced technologies such as ICT, space, and biotechnology. At the center of this transformation lies technology entrepreneurship, and for technology startups to move beyond the early stage and achieve sustainable success, decision-making based on data rather than intuition has become essential. Accordingly, this study aims to examine the impact of data-driven risk-taking on firm performance in technology startups and to empirically test the moderating effect of firms’ challenging growth orientation on this relationship. This study adopts an empirical research design based on a survey methodology. Data were collected from CEOs and executives of technology startups located in the Seoul metropolitan and Gyeonggi regions. A total of approximately 2,500 questionnaires were distributed, and 220 responses were returned. After excluding 10 incomplete or insincere responses, 210 valid samples were retained for analysis. IBM SPSS 28.0 and SmartPLS 4.1 were used for statistical analysis. After assessing the reliability and validity of the measurement model, hypotheses were tested using Partial Least Squares Structural Equation Modeling (PLS-SEM), which is suitable for path analysis. The empirical results are as follows. First, data-driven risk-taking was found to have a significant positive (+) effect on both financial and non-financial performance. This implies that the capability to quantify risks and allocate resources through data analysis drives the firm's tangible growth. Second, challenging growth orientation exhibited a significant negative (-) moderating effect on the relationship between data-driven risk-taking and business performance. This suggests that excessive aggressive drive may offset the rational warning signals provided by data or lead to inefficient resource allocation. In conclusion, this study establishes that a ‘Strategic Balance’ between data-based rational control and the entrepreneur's strategic drive is essential for technology startups to generate sustainable performance.

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