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Assessing the Critical Failure Factors of AI Chatbots for Research Using ISM Approach: A Case of Philippine State University Researchers
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Author(s): Catherine Camiguing Gabia (Cebu Technological University, Philippines), Dwight Gabia (Cebu Technological University, Philippines), Samuel C. Villa Jr. (Cebu Technological University, Philippines), Blesie M. Villa (Cebu Technological University, Philippines), Nelson F. Nolon (Cebu Technological University, Philippines), Irene Mamites (Cebu Technological University, Philippines)and Melanie M. Himang (Cebu Technological University, Philippines)
Copyright: 2026
Volume: 22
Issue: 1
Pages: 27
Source title:
International Journal of Intelligent Information Technologies (IJIIT)
Editor(s)-in-Chief: Vijayan Sugumaran (Oakland University, Rochester, USA)
DOI: 10.4018/IJIIT.402395
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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.
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