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Business Intelligence and Data Warehouse in Agrarian Sector: A Bibliometric Study

Author

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  • Luciano Moraes da Luz Brum
  • Vinícius do Nascimento Lampert
  • Sandro da Silva Camargo

Abstract

Business Intelligence with Data Warehouse technologies are known in the literature as solutions that allow access to business data dynamically and analytical operations on them. Scientific literature lacks works that investigate the current use of these technologies in the agrarian sector, at the international level in the last 10 years. This work presents a bibliometric analysis, which was done through the ProKnow-C methodology, of the application of Business Intelligence and Data Warehouse technologies in the agrarian sector. The objective is to investigate the dissemination of such technologies in this sector in national and international scale. The main findings were the following- number of papers in last years are increasing. Majority of papers were found in the journal named Computers and Eletronics in Agriculture, with a great number of colaborations between authors of France. Few colaborations between authors from different countries were found. Sandro Bimonte was the most cited author. France and India highlight in researches approaching Data Warehouse and Business Intelligence usage in agrarian sciences. The majority of references from Bibliographic Portfolio were from 2001-2010. 66% of papers use some open source technology. Star schema is the most used modelling technique and the use of Unified Modeling Language by authors of France in agricultural Data Warehouse modelling is encouraged. The main limitations were the impossibility of free access in some databases, absence of research on proprietary solutions of technology market in the rural sector and few number of keyword searches.

Suggested Citation

  • Luciano Moraes da Luz Brum & Vinícius do Nascimento Lampert & Sandro da Silva Camargo, 2024. "Business Intelligence and Data Warehouse in Agrarian Sector: A Bibliometric Study," Journal of Agricultural Science, Canadian Center of Science and Education, vol. 11(2), pages 353-353, April.
    • Handle: RePEc:ibn:jasjnl:v:11:y:2024:i:2:p:353
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    References listed on IDEAS

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    1. Ole Ellegaard & Johan A. Wallin, 2015. "The bibliometric analysis of scholarly production: How great is the impact?," Scientometrics, Springer;Akadémiai Kiadó, vol. 105(3), pages 1809-1831, December.
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    More about this item

    JEL classification:

    • R00 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General - - - General
    • Z0 - Other Special Topics - - General

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