Показване на основна информация на публикация

dc.contributor.authorLara-Perez, Jorge
dc.contributor.authorCanibe-Cruz, Francisco
dc.contributor.authorRubio, Patricia
dc.date.accessioned2024-12-04T12:23:20Z
dc.date.accessioned2024-12-04T12:23:21Z
dc.date.available2024-12-04T12:23:20Z
dc.date.available2024-12-04T12:23:21Z
dc.date.issued2024
dc.identifier.issn0861-6604
dc.identifier.urihttp://hdl.handle.net/10610/5068
dc.description.abstractThe changes in global markets have represented an important challenge for firms, therefore the integration of strategic processes, the efficiency of operations, the management of information and the knowledge generated, have been the basis for incorporating advanced management tools in the era of digitalization. In this sense, business intelligence (BI) and enterprise resource planning (ERP) systems are two topics that have become widespread and researched in recent years. The present study aims at the conceptual analysis of ERP-BI topics with information collected from the web of science database from 2003 to 2022, identifying the most representative approaches and quantifying the main bibliometric indicators with the support of an open access technological tool SciMAT. The results show a growing trend of publications related to the incorporation of business systems and their conceptual relationships to sustainable development, knowledge management (KM), big data, among others. This study highlights the growth of research on BI and ERP systems, integrating organizational processes and generating knowledge based on valuable information for decision making with a positive impact on productivity and innovative strategy.us_US
dc.publisherTsenov Publishing HouseEN_en
dc.relation.ispartofseries3;2
dc.subjectEnterprise resource planning systemsus_US
dc.subjectbusiness intelligenceus_US
dc.subjectinformation managementus_US
dc.subjectdata analyticsus_US
dc.subjectscientific mapsus_US
dc.titleScientific Mapping of Business Intelligence and Enterprise Resource Planning from 2003 to 2022us_US
dc.typeArticleus_US


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Показване на основна информация на публикация