Multiple causal pathways of high-quality development for semiconductor enterprises in China

Area of Science:

• Economics
• Business Strategy
• Innovation Studies

Background:

• China's economic transformation necessitates enhancing semiconductor enterprise development.
• Semiconductor industry growth is crucial for overall economic advancement.
• Existing research often overlooks the complex interplay of factors in high-quality development.

Purpose of the Study:

• To construct a multi-factor configurational model for high-quality development of semiconductor enterprises.
• To identify the key pathways and configurations leading to high-quality development.
• To analyze the synergistic effects and complex relationships influencing this development.

Main Methods:

• Utilized the Technology-Organization-Environment framework.
• Employed fuzzy-set qualitative comparative analysis (fsQCA) for configurational analysis.
• Developed a multi-factor model to explore causal complexity.

Main Results:

• No single factor is a necessary condition for high-quality development.
• Identified five distinct pathways to high-quality development.
• These pathways fall into three main types: innovation/size-dominated, innovation/human capital-driven, and multi-factor linkage.

Conclusions:

• High-quality development is a systematic and configuration-dependent process.
• Understanding these diverse pathways offers strategic insights for semiconductor enterprises.
• The study highlights the importance of synergistic factor combinations over isolated elements.