The Determinants of SME Success in the Long Run: An Ecosystem Perspective

Myungjin Song, Yongkil Ahn

Research output: Contribution to journalArticlepeer-review

8 Scopus citations

Abstract

Small and medium-sized enterprises (SMEs) drive economic growth especially in developing countries. Nonetheless, it is empirically challenging to identify the key attributes that predict the long-run success of SMEs. We analyse a detailed nationwide innovation survey of 4,075 companies in Korea, as well as their performance metrics, and demystify the key features that predict outperformance in the long horizon. We draw conditional causal inferences for SMEs by utilizing coarsened exact matching. Both the least absolute shrinkage and selection operator regularization technique and the elastic net method unveil that, among a variety of factors that include innovative activities, government support, and other external factors in the SME ecosystem, in-house research and development (R&D) are the most important factors for the success of SMEs. Government support in the form of product purchase plans or government-wide acquisition contracts also matters for SME success, but the association is transient and short-lived. Hence, accumulating intangible capital by internalizing R&D activities is of the utmost importance for SME success in the long run.

Original languageEnglish
Pages (from-to)9251-9269
Number of pages19
JournalApplied Economics
Volume56
Issue number60
DOIs
StatePublished - 2024

Keywords

  • Small and medium-sized enterprises
  • feature engineering
  • government support
  • innovation
  • machine learning

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