Abstract
In the context of the impressive development of Big Data, AI algorithmshave proven their efficiency in processing and analyzing large volumes of data.Price prediction was no exception. In the modern economic fields, the need foradvanced prediction models, with increased efficiency, has become more andmore important. Thus, the interest in the potential of AI solutions in terms ofprice prediction for all industries has also grown progressively. The present studyaims to capture, by using several Natural Language Processing techniques, thefeeling that the academic community has in relation to the subject of price predictionand the way in which opinions have evolved over the years. For this purpose,the abstracts of the works indexed in the Clarivate WoS that addressed thistopic are included in the current analysis. The scores obtained after the analysisreveal a slightly positive attitude towards the subject, but nevertheless quite reserved.The main topics existing in these articles are also extracted by means ofLatent Dirichlet Allocation. Our analysis makes contributions to the formulationof the position that specialists in the scientific community have in relation toprice prediction and AI evolution. Further, it provides new research directionsfor future studies.
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Ciuverca, A. C. D., & Oprea, S. V. (2025). THE INFLUENCE OF AI ON PRICE FORECASTING. THE VIEW OF THE ACADEMIC COMMUNITY. Journal of Business Economics and Management, 26(1), 231–254. https://doi.org/10.3846/jbem.2025.23544
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