Business intelligence for dynamic commercial management in SMEs: A systematic review.

Achieving success and being competitive in their field is crucial for SMEs, which is why they must carry out an efficient management of their administrative processes. Technological development has allowed greater control of these processes thanks to its significant progress, the objective of this a...

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第一著者: Santos Fernandez , Juan (author)
その他の著者: Niño Ladron de Guevara Arroyo, Carmen Idalia (author), Amambal Bances , Xiomara Sadith (author), Boy Chavil, Luis Enrique (author)
フォーマット: article
出版事項: 2025
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オンライン・アクセス:https://revistas.uta.edu.ec/erevista/index.php/dide/article/view/2586
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その他の書誌記述
要約:Achieving success and being competitive in their field is crucial for SMEs, which is why they must carry out an efficient management of their administrative processes. Technological development has allowed greater control of these processes thanks to its significant progress, the objective of this article is to review publications that have been made in the last five years, where 52 articles on the use of business intelligence (BI) in the management of business processes in SMEs were analyzed. Among the articles analyzed, 47 were found to address BI applications, with Performance Management and KPIs being the most mentioned. Likewise, a study was made with respect to the technologies and methodologies employed, these aspects were addressed in 41 articles, where Artificial Intelligence, and agile methodology Scrum are mentioned in particular, which indicates their prevalence. Within the scope of AI tools used, Machine Learning stood out as the most popular option, representing 18% of the studies examined. With these results, SMEs can easily identify which are the most popular technology tools and software development methodologies, this will be useful for them when selecting technologies that will improve the management of their business processes. The analysis emphasizes the crucial importance of technology in improving and optimizing business management in SMEs.