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Background and Aims: In the realm of construction project management and standardized design processes, enterprises encounter challenges in fostering innovation. Of particular interest is transgressive innovation behavior, a less understood form of autonomous innovation that has drawn scholarly attention. Innovators employ various strategies to advance their ideas, driving innovation forward while presenting management and risk-related hurdles. Understanding the factors and conditions influencing transgressive innovation behavior is paramount for effective management and risk reduction. Methodology: This study, grounded in the Theory of Planned Behavior, delves into the realm of architectural designers to investigate how attitudes, norms, and behavior control influence transgressive innovation intentions and behavior, especially under the influence of tasks. Survey data collected from Jiangsu, Zhejiang, Shanghai, Guangdong, and Fujian provinces (269 valid responses) reveal that proactive personality, risk preference, organizational support, and an innovative atmosphere positively influence transgressive innovation intentions, while factors such as failure tolerance and uncertainty avoidance have negative impacts. The study also uncovers that transgressive innovation intentions mediate these relationships, and task complexity acts as a moderator between intentions and behavior. Results: Given the backdrop of higher education and lower innovation success among architectural designers, this research explores the facilitating factors behind transgressive innovation, contributing to existing literature by reviewing concepts, and measurement methods, and constructing a model grounded in the Theory of Planned Behavior. Furthermore, it extends the application of theory by proposing and verifying task complexity as a moderator. Conclusion: In light of the paradox of high education but low innovation success, this study aims to investigate the factors that promote transgressive innovation among architects. It seeks to deepen our understanding of innovation dynamics in architecture by employing the Theory of Planned Behavior, critically analyzing existing literature, and adding task complexity as a moderating variable. In the end, this research hopes to provide information that may help develop and maintain innovative practices in the architectural design industry, which could result in improved creative processes and products.
Zhu et al. (Fri,) studied this question.