Research on enterprise business model and technology innovation based on artificial intelligence

Area of Science:

• Business Administration
• Innovation Management
• Technology Management

Background:

• Small- and medium-sized enterprises (SMEs) are crucial for economic growth and national innovation capacity.
• Understanding the drivers of SME innovation is vital for policy and practice.
• Technological innovation (TI) and business model design (BMD) are key factors influencing SME success.

Purpose of the Study:

• To investigate the effects of technological innovation (TI) and business model design (BMD) on the business performance of SMEs.
• To analyze how the interplay between TI and BMD influences SMEs of varying sizes.
• To contribute to the theoretical understanding of the fit between TI and BMD in the context of SMEs.

Main Methods:

• A sample of 268 SMEs from the artificial intelligence industry was analyzed.
• Hierarchical regression models were employed to assess the relationships between variables.
• The study focused on the differential impacts of TI, BMD, and their matching on SME innovation.

Main Results:

• Both technological innovation (TI) and business model design (BMD) individually influence SME business performance.
• The interaction or 'fit' between TI and BMD has a significant, size-dependent effect on SME innovation.
• SMEs of different sizes exhibit varying responses to TI, BMD, and their strategic alignment.

Conclusions:

• The findings support and enrich the theory concerning the strategic fit between technological innovation and business model design.
• The study provides practical, theoretical guidance for SMEs to optimize their innovation activities.
• Tailoring innovation and business model strategies to SME size is recommended for enhanced performance.