Factors affecting innovation capacity: Empirical evidence from small and medium enterprises in Vietnam

Type of the article: Research Article AbstractThis paper aims to assess the relative importance of various determinants impacting small and medium enterprises’ (SMEs) capacity for innovation. The study employed a quantitative approach with data obtained from 462 participants working across SMEs in 2023 in Ho Chi Minh City, Vietnam. The collected data were subsequently processed and analyzed using structural equation modeling (SEM) and exploratory factor analysis (EFA). The EFA results indicated the removal of two items due to their poor fit within the variables. Furthermore, the statistical adequacy of the data for factor analysis was confirmed by a Kaiser-Meyer-Olkin (KMO) coefficient of 0.892 and a significant Bartlett’s test (Chi-square = 8177.250, p-value < 0.001). The remaining variables yielded a convergent solution in the subsequent CFA analysis, with goodness-of-fit indices meeting acceptable thresholds. The SEM results revealed four key factors influencing the innovation capability of SMEs in Ho Chi Minh City: collaboration networks, organizational culture, entrepreneurial leadership, and internal human resources, with p-values for all these factors’ estimates of 0.000. The survey respondents indicated that collaborative networks exerted the most substantial influence on the innovation capability of SMEs (with an estimate of 0.282). Subsequently, factors such as organizational culture and entrepreneurial leadership demonstrated progressively lesser degrees of impact, with corresponding coefficients of 0.266 and 0.207, respectively. Recommendations for both enterprises and state policies are then proposed.

Authors

Institutions

Publication Details

Journal
Problems and Perspectives in Management
Published
2025-08-19
DOI
https://doi.org/10.21511/ppm.23(3).2025.22
Citations
1
Primary Topic
Intellectual Capital and Performance Analysis
Type
article
Field-Weighted Citation Impact
2.23
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Factors affecting innovation capacity: Empirical evidence from small and medium enterprises in Vietnam

Mai Quynh Nguyen, Lien Thi Hoa, Phuong Vo Hang Hoang
1 citations
Problems and Perspectives in Management
Intellectual Capital and Performance Analysis
2.23
article

Factors affecting innovation capacity: Empirical evidence from small and medium enterprises in Vietnam

Mai Quynh Nguyen, Lien Thi Hoa, Phuong Vo Hang Hoang
article en
1 citations

Abstract

Type of the article: Research Article AbstractThis paper aims to assess the relative importance of various determinants impacting small and medium enterprises’ (SMEs) capacity for innovation. The study employed a quantitative approach with data obtained from 462 participants working across SMEs in 2023 in Ho Chi Minh City, Vietnam. The collected data were subsequently processed and analyzed using structural equation modeling (SEM) and exploratory factor analysis (EFA). The EFA results indicated the removal of two items due to their poor fit within the variables. Furthermore, the statistical adequacy of the data for factor analysis was confirmed by a Kaiser-Meyer-Olkin (KMO) coefficient of 0.892 and a significant Bartlett’s test (Chi-square = 8177.250, p-value < 0.001). The remaining variables yielded a convergent solution in the subsequent CFA analysis, with goodness-of-fit indices meeting acceptable thresholds. The SEM results revealed four key factors influencing the innovation capability of SMEs in Ho Chi Minh City: collaboration networks, organizational culture, entrepreneurial leadership, and internal human resources, with p-values for all these factors’ estimates of 0.000. The survey respondents indicated that collaborative networks exerted the most substantial influence on the innovation capability of SMEs (with an estimate of 0.282). Subsequently, factors such as organizational culture and entrepreneurial leadership demonstrated progressively lesser degrees of impact, with corresponding coefficients of 0.266 and 0.207, respectively. Recommendations for both enterprises and state policies are then proposed.

Problems and Perspectives in ManagementVol. 23(3)
University of Labor and Social Affairs (VN)
Openalex Percentile: Top 10%
Intellectual Capital and Performance Analysis
2.23
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.