Assessing the Critical Failure Factors of AI Chatbots for Research Using ISM Approach
Abstract
Despite the potential of artificial intelligence chatbots in overcoming the tedious tasks of research, scholars have considered critical failure factors before fully integrating such tool into the research process. While extensive works have comprehensively described these factors, none have explored their interrelationships in depth. Therefore, this paper applies interpretive structural modeling analyses to an actual case study of a university in the Philippines to understand the structural relationships among factors. It is found that the authors' lack of knowledge in the research field is the most influential factor. This implies that artificial intelligence chatbots must remain an auxiliary tool in research writing and authors must still possess the firsthand, necessary knowledge to serve as the main contributor of new knowledge in the field.
Fields of Study & Subjects
AI in Service Interactions
Artificial Intelligence in Healthcare and Education
Spreadsheets and End-User Computing
Publication details
- Journal / source
- International Journal of Intelligent Information Technologies
- Publisher
- IGI Global Scientific Publishing
- Volume
- 22
- Issue
- 1
- Pages
- 1–27
- Publication date
- 25 February 2026
- Language
- NG