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This research aims to understand the factors influencing sustainability in Small and Medium Enterprises (SMEs) by applying the decision tree method. Three machine learning algorithms, ID3, C4.5, and CART, are compared to evaluate their effectiveness in sustainability data classification. The results show that the C4.5 algorithm has the highest accuracy at 84%, followed by CART at 81% and ID3 at 71%. Decision tree analysis measures knowledge factors such as appropriation of knowledge output, connective capacity, inventive capacity, and innovative capacity to support sustainability in SMEs. The results are that SMEs’ ability to access knowledge from external partners (CCp1) and use knowledge to solve problems (ICc3) is critical to achieving sustainability. Organizations with high capabilities in these two aspects tend to meet sustainability criteria. Organizational age also plays a role, with younger organizations with high problem-solving capacity tending to be more sustainable than older ones. This research suggests that SMEs must increase access to external knowledge, utilize knowledge for innovation and problem-solving, and optimize resource use efficiency to achieve sustainability.

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Predicting Sustainability in SMEs Through Knowledge Factors Using Decision Tree Analysis

  • 会议论文

  • 发表日期：

    2025年

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  • Amelia Kurniawati,
  • Artamevia Salsabila Rizaldi,
  • Mia Amelia

摘要

This research aims to understand the factors influencing sustainability in Small and Medium Enterprises (SMEs) by applying the decision tree method. Three machine learning algorithms, ID3, C4.5, and CART, are compared to evaluate their effectiveness in sustainability data classification. The results show that the C4.5 algorithm has the highest accuracy at 84%, followed by CART at 81% and ID3 at 71%. Decision tree analysis measures knowledge factors such as appropriation of knowledge output, connective capacity, inventive capacity, and innovative capacity to support sustainability in SMEs. The results are that SMEs’ ability to access knowledge from external partners (CCp1) and use knowledge to solve problems (ICc3) is critical to achieving sustainability. Organizations with high capabilities in these two aspects tend to meet sustainability criteria. Organizational age also plays a role, with younger organizations with high problem-solving capacity tending to be more sustainable than older ones. This research suggests that SMEs must increase access to external knowledge, utilize knowledge for innovation and problem-solving, and optimize resource use efficiency to achieve sustainability.