Exploring AI-Based E-Coaching to Enhance the Performance of Small and Medium Enterprises

This study explores the transformative integration of Artificial Intelligence (AI) with e-coaching and its implications for Small and Medium Enterprises (SMEs), focusing on both financial performance and broader developmental metrics. Through qualitative analysis, involving semi-structured interviews with 5 of the 30 e-coaching tool key users across three months, the research identifies a profound alignment between the functionalities of e-coaching and the specific needs of SMEs. The findings reveal that AI-driven customization significantly enhances financial outcomes while simultaneously nurturing essential non-financial aspects crucial for the sustainable growth of SMEs. The study highlights the pivotal role of AI in e-coaching as an enabler of personalized, adaptive learning strategies, thus revolutionizing the landscape of digital business coaching for SMEs. Providing valuable insights for the refinement of e-coaching practices, this research makes a significant contribution to the field of business management education, emphasizing the indispensable role of AI-enabled e-coaching in propelling the performance and development of SMEs.

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Publication Details

Journal
WSEAS TRANSACTIONS ON SYSTEMS
Published
2025-11-05
DOI
https://doi.org/10.37394/23202.2025.24.66
Primary Topic
Coaching Methods and Impact
Type
article
Field-Weighted Citation Impact
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article

Exploring AI-Based E-Coaching to Enhance the Performance of Small and Medium Enterprises

I Wayan Susila, Muhammad Sholahuddin, Mulyawan Safwandy Nugraha
WSEAS TRANSACTIONS ON SYSTEMS
Coaching Methods and Impact
article

Exploring AI-Based E-Coaching to Enhance the Performance of Small and Medium Enterprises

I Wayan Susila, Muhammad Sholahuddin, Mulyawan Safwandy Nugraha
article en

Abstract

This study explores the transformative integration of Artificial Intelligence (AI) with e-coaching and its implications for Small and Medium Enterprises (SMEs), focusing on both financial performance and broader developmental metrics. Through qualitative analysis, involving semi-structured interviews with 5 of the 30 e-coaching tool key users across three months, the research identifies a profound alignment between the functionalities of e-coaching and the specific needs of SMEs. The findings reveal that AI-driven customization significantly enhances financial outcomes while simultaneously nurturing essential non-financial aspects crucial for the sustainable growth of SMEs. The study highlights the pivotal role of AI in e-coaching as an enabler of personalized, adaptive learning strategies, thus revolutionizing the landscape of digital business coaching for SMEs. Providing valuable insights for the refinement of e-coaching practices, this research makes a significant contribution to the field of business management education, emphasizing the indispensable role of AI-enabled e-coaching in propelling the performance and development of SMEs.

WSEAS TRANSACTIONS ON SYSTEMSVol. 24
Muhammadiyah University of Surakarta (ID)
Openalex Percentile: Top 64%
Coaching Methods and Impact
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Exploring AI-Based E-Coaching to Enhance the Performance of Small and Medium Enterprises — I Wayan Susila, Muhammad Sholahuddin, et al. · WSEAS TRANSACTIONS ON SYSTEMS (2025) | TGRS Research Map | TGRS