The transformative potential of artificial intelligence (AI) ChatBots, leveraging natural language processing for information retrieval and knowledge synthesis, has garnered attention across diverse fields, including research. Recognizing AI's importance, researchers and policymakers are actively engaged in its development. However, a notable gap persists in understanding the efficacy of various AI-ChatBots specifically within the rigorous process of conducting systematic literature reviews (SLRs). To address this, this study aims to provide a comparative analysis of different AI-ChatBots against traditional manual approaches in executing SLRs. Employing a case study methodology focused on the International Transactions in Operational Research journal, this research evaluates the benefits and pitfalls of integrating AI across various stages of the SLR process. The findings of this study will offer novel empirical evidence regarding the application of AI-ChatBots in SLR processes, thereby informing both researchers and policymakers on the practical implications and future directions of AI integration in academic research.

Pitfalls, benefits, and comparative analysis of artificial intelligence ChatBots in the systematic review process / Daraio, Cinzia; Di Leo, Simone; Ferazzoli, Federico. - In: INTERNATIONAL TRANSACTIONS IN OPERATIONAL RESEARCH. - ISSN 0969-6016. - 33:2(2025), pp. 719-774. [10.1111/itor.70054]

Pitfalls, benefits, and comparative analysis of artificial intelligence ChatBots in the systematic review process

Daraio, Cinzia
Co-primo
;
Di Leo, Simone
Co-primo
;
2025

Abstract

The transformative potential of artificial intelligence (AI) ChatBots, leveraging natural language processing for information retrieval and knowledge synthesis, has garnered attention across diverse fields, including research. Recognizing AI's importance, researchers and policymakers are actively engaged in its development. However, a notable gap persists in understanding the efficacy of various AI-ChatBots specifically within the rigorous process of conducting systematic literature reviews (SLRs). To address this, this study aims to provide a comparative analysis of different AI-ChatBots against traditional manual approaches in executing SLRs. Employing a case study methodology focused on the International Transactions in Operational Research journal, this research evaluates the benefits and pitfalls of integrating AI across various stages of the SLR process. The findings of this study will offer novel empirical evidence regarding the application of AI-ChatBots in SLR processes, thereby informing both researchers and policymakers on the practical implications and future directions of AI integration in academic research.
2025
artificial intelligence; ChatBots; International Transactions in Operational Research; systematic review
01 Pubblicazione su rivista::01a Articolo in rivista
Pitfalls, benefits, and comparative analysis of artificial intelligence ChatBots in the systematic review process / Daraio, Cinzia; Di Leo, Simone; Ferazzoli, Federico. - In: INTERNATIONAL TRANSACTIONS IN OPERATIONAL RESEARCH. - ISSN 0969-6016. - 33:2(2025), pp. 719-774. [10.1111/itor.70054]
File allegati a questo prodotto
File Dimensione Formato  
Daraio_Pitfalls-benefits_2025.pdf

accesso aperto

Note: https://onlinelibrary.wiley.com/doi/pdfdirect/10.1111/itor.70054
Tipologia: Versione editoriale (versione pubblicata con il layout dell'editore)
Licenza: Creative commons
Dimensione 1.31 MB
Formato Adobe PDF
1.31 MB Adobe PDF

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11573/1749675
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 0
  • ???jsp.display-item.citation.isi??? 0
social impact