Artificial Intelligence in Academic Research: A Comparative Study of Scopus AI and Web of Science Research Assistant

Abstract

The aim of this article is to compare two artificial intelligence-based tools developed within the two most prominent scientific databases: Scopus AI and Web of Science Research Assistant. This comparison provides valuable feedback for researchers and authors seeking support in their academic work involving the exploration of extensive bibliographic databases. The growing popularity of AI tools supporting scholarly research offers significant facilitation for researchers, yet it simultaneously raises ethical questions and prompts discussions about the autonomy and integrity of academic work. The method applied in this study is a comparative analysis of the Scopus AI and Web of Science Research Assistant tools. The research is conducted in successive stages. The first stage involves a comparison of the results generated by both tools in response to the same research query: " Sustainable Strategic Management in Enterprises ". The second stage entails an examination of the technical capabilities and limitations of each tool, identifying the methodological steps and components where they complement or contradict each other. The insights derived from the observed differences and similarities serve as the basis for recommendations concerning the use and further improvement of these tools from a researcher’s perspective. The use of such AI-based support tools necessitates greater attentiveness on the part of authors, along with careful validation of the results. These tools should remain auxiliary aids in the process of academic publishing.

Ähnliche Arbeiten