Test smells are indicative symptoms of poor design choices in test code, potentially reducing maintainability and compromising test effectiveness. While machine learning-based methods have been proposed to automate test smell detection, their predictive performance is still limited. Deep learning offers a promising solution due to its ability to learn complex context and patterns from data. However, its application to test smell prediction, particularly with sequence data extracted from test ...

This study explores how digital communication activities impact brand image and brand trust within higher education institutions. Drawing on theories of branding, relationship marketing, and digital communication, the research proposes a model where Online Public Relations (E-PR), website communication, and social media communication shape brand image, which in turn affects brand trust. Data collected from university students were analyzed using reliability analysis, exploratory factor analys...

In the context of global digital transformation, the integration of Artificial Intelligence (AI), particularly Generative Artificial Intelligence (GAI), has fundamentally redefined the developmental trajectory of digital entrepreneurs. This paper conducts a qualitative synthesis study to explore the underlying psychological mechanisms that drive entrepreneurial intentions and behaviors in the AI era. Drawing upon evidence from 44 academic sources, the study elucidates the role of AI as a powe...

Micro-firms, defined as businesses employing fewer than ten employees, constitute the backbone of the global economy. Nevertheless, they frequently encounter severe resource constraints and elevated operational risks. This study conducts a qualitative synthesis to examine how Artificial Intelligence (AI), particularly Generative Artificial Intelligence (GenAI), facilitates business model transformation and enhances risk management within this segment. Drawing upon 44 academic sources, the stu...