A Systematic Review of Business Incubation Models and Their Impact on MSME Performance: Focus on Engineering Sectors
Main Article Content
Abstract
Background: Business incubation has emerged as a critical mechanism for supporting micro, small, and medium enterprises (MSMEs) in engineering sectors, yet systematic evidence on incubation effectiveness remains fragmented. This systematic review synthesizes existing literature to evaluate the impact of business incubation models on MSME performance in engineering sectors.
Methods: A systematic literature search was conducted across multiple databases (Scopus, Web of Science, Business Source Premier, ABI/INFORM Global) from inception to December 2024, following PRISMA 2020 guidelines. Studies examining business incubation models and MSME performance in engineering sectors were included. Quality assessment employed Newcastle-Ottawa Scale, Cochrane RoB 2.0, and CASP tools. Meta-analysis used random-effects models for quantitative synthesis, while thematic analysis was applied for qualitative findings.
Results: Forty-five studies (28 quantitative, 12 qualitative, 5 mixed-methods) met inclusion criteria, encompassing 15,847 MSMEs across 23 countries. Meta-analysis revealed that incubated MSMEs demonstrated significantly higher revenue growth (SMD = 0.84, 95% CI: 0.58-1.10, p < 0.001) and superior three-year survival rates (78.4% vs 52.6%, OR = 3.28, 95% CI: 2.41-4.47) compared to non-incubated firms. Technology/software enterprises achieved highest performance gains (42.3% revenue growth), followed by electrical/electronics (38.9%) and manufacturing (31.2%) sectors. Government-sponsored incubation programs demonstrated optimal cost-effectiveness (ratio: 2.89), while corporate incubators achieved highest survival rates (83.1%). Technical mentorship emerged as the most critical success factor (89% frequency, 8.7 impact score), followed by funding access (84% frequency, 8.4 impact score). Heterogeneity analysis revealed geographic region (31% variance), incubator model type (24% variance), and study quality (18% variance) as primary sources of variation. Publication bias assessment showed minimal bias (Egger's test: p = 0.224).
Conclusions: Business incubation significantly enhances MSME performance across financial, innovation, and operational dimensions in engineering sectors. Government-sponsored programs offer superior cost-effectiveness, while sector-specific approaches optimize outcomes. Technical mentorship and funding access constitute critical success factors. Future research should focus on longitudinal impact assessment, emerging technology sectors, and digital transformation effects on incubation processes.
