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Modelling the impact of green operations on SMEs’ performance: the role of green transaction and artificial intelligence

Author

Listed:
  • Codruța Cornelia Dura
  • Elias Appiah-Kubi
  • Dorina Niță
  • Imola Drigă
  • Ana Preda
  • Alexandru Cristian Dobre

Abstract

Small and medium-sized enterprises (SMEs) account for a significant share of environmental pollution, particularly in developing economies, which adversely affects their overall performance. In this context, the study aims to examine the influence of green operations on Ghanaian SMEs’ performance. The paper assesses the mediating role of green transaction in the relationship between green operations and SMEs’ performance. Additionally, it explores the moderating role of artificial intelligence in the relationship between green transaction and SMEs’ performance. The structured questionnaire was used to collect data from 413 SMEs in Ghana. Structural Equation Modelling (SEM) in Amos (v.23) was employed for the analysis. It was found that green operation has a significant and positive effect on SMEs’ performance. Additionally, green transaction partially mediated the relationship between green operation and SMEs’ performance. Lastly, artificial intelligence was shown to positively moderate the relationship between green transaction and SMEs’ performance. Organizations are encouraged to leverage artificial intelligence to strengthen their involvement in green practices and enhance operational performance. The novelty of this study lies in its focus on the combined effects of green transactions emerging from a comprehensive adoption of green operations, and artificial intelligence in improving the performance of SMEs in resource-constrained environments.

Suggested Citation

  • Codruța Cornelia Dura & Elias Appiah-Kubi & Dorina Niță & Imola Drigă & Ana Preda & Alexandru Cristian Dobre, 2026. "Modelling the impact of green operations on SMEs’ performance: the role of green transaction and artificial intelligence," Applied Economics, Taylor & Francis Journals, vol. 58(7), pages 1344-1360, February.
    • Handle: RePEc:taf:applec:v:58:y:2026:i:7:p:1344-1360
    DOI: 10.1080/00036846.2025.2465844
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