Structural and sequential ambidexterity are proved to be two prevalent approaches in managing tension between exploration and exploitation. Dominant studies have treated the two approaches as mutually exclusive but have provided less insight about their combination, and the organizational configurations that advance such combination, which is a major meaningful gap explored in the current study. This study aims to explore the configurations of organization design choices to combine structural and sequential approaches from a holistic perspective. We apply fuzzy-set qualitative comparative analysis (fsQCA) to analyze the empirical data collected from 102 firms in China. The results show that firms attain high ambidexterity with both separated and blended configurations. Blended ones demonstrate that the structural and sequential approaches can be combined in a way that one approach dominates and the other subordinates. Organizational design mechanisms regarding the configurations for combining structural and sequential approaches are concluded as multielements (complements and substitutes) and multilevels (fit and interaction). These findings are also interpreted through the Chinese ‘Yin-Yang’ framework, which introduces ‘Yin-Yang balancing’ into the ambidexterity literature.

Firms in a nascent industry need to search across various technological trajectories and market opportunities with limited prior knowledge. While inter-firm learning (e.g., imitation) helps the focal firm adapt in the process of conformity, intra-firm learning (e.g., independent experimentation) helps a firm stand out from rivals in the process of differentiation, both of which can gain competitive advantages. This study investigates how the conformity-differentiation balance can be achieved from the cross-level learning perspective. Adopting a mixed-method design, we first conduct a case study on the Chinese photovoltaic industry. The case suggests that firms are inclined to conform in upstream and bottleneck technological domains but differentiate in the downstream market applications. We then extend the case findings through a computational simulation based on March's learning model. When experimentation and imitation are possible, the balance between conformity and differentiation can be reframed as the classical balance between exploitation and exploration across the firm and industry levels: while experimentation is often exploitative at the firm level but exploratory at the industry level, imitation is often exploratory at the firm level but exploitative at the industry level. The study makes a new attempt to bridge the optimal distinctiveness literature with the organizational learning literature.