2005Journal of Decision SystemRequires access

A Bibliometric Analysis

Shashidhar Kaparthi

Open publisher page 146 citations

Abstract

Neural networks are used in business organizations for providing intelligent decision support. The ABI/Inform bibliographic database has over 1 000 publications on business-related research in neural networks. Historical trends in this area are examined by a bibliometric analysis of this research. Distributions by management function, by industries & markets, by business environment and by keywords are presented and insights into future research possibilities are drawn. Further, this corpus of literature is analyzed by using the co-word bibliometric methodology to assess the state- of-the-art in this research area. Several research themes are identified. Based on the analysis, suggestions for future research are outlined.

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What this paper is about

Neural networks are used in business organizations for providing intelligent decision support. The ABI/Inform bibliographic database has over 1 000 publications on business-related research in neural networks. Historical trends in this area are examined by a bibliometric analysis of this research. Distributions by management function, by industries & markets, by business environment and by keywords are presented and insights into future research possibilities are drawn. Further, this corpus of literature is analyzed by using the co-word bibliometric methodology to assess the state- of-the-art in this research area. Several research themes are identified. Based on the analysis, suggestions for future research are outlined.

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OpenAlex reports 146 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

Neural networks are used in business organizations for providing intelligent decision support. The ABI/Inform bibliographic database has over 1 000 publications on business-related research in neural networks. Historical trends in this area are examined by a bibliometric analysis of this research. Distributions by management function, by industries & markets, by business environment and by keywords are presented and insights into future research possibilities are drawn. Further, this corpus of literature is analyzed by using the co-word bibliometric methodology to assess the state- of-the-art in this research area. Several research themes are identified. Based on the analysis, suggestions for future research are outlined.

Key concepts: Computer science, Bibliometrics, Function (biology), Data science, Knowledge management, Management science, Library science, Engineering

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