Scientific Trends in Artificial Neural Networks for Management Science

  1. Jaca-Madariaga, M. 1
  2. Zarrabeitia, E. 1
  3. Rio-Belver, R. M. 1
  4. Álvarez, I. 1
  1. 1 Universidad del País Vasco/Euskal Herriko Unibertsitatea
    info

    Universidad del País Vasco/Euskal Herriko Unibertsitatea

    Lejona, España

    ROR https://ror.org/000xsnr85

Actas:
Ensuring Sustainability: New Challenges for Organizational Engineering. Lecture Notes in Management and Industrial Engineering

ISSN: 2198-0772,  2198-0780

ISBN: 9783030959661,  9783030959678

Año de publicación: 2022

Páginas: 201-211

Tipo: Aportación congreso

DOI: 10.1007/978-3-030-95967-8_18 GOOGLE SCHOLAR

Resumen

The use of artificial neural network (ANN) is growing significantly, and their areas of application are varied. In this case, the main aim of the study is to present an overall view of trends and research carried out in ANNs specifically in management science. To this aim, the data of publications about ANN in the field of management through Scopus database have been analysed. Documents in the field of management science composed by: Business, Management and Accounting; Decision Sciences; Econometrics and Finance; and Social Sciences published from 2000 to 2019 have been obtained and downloaded. Then, text-mining and network analysis software have been applied to gather, clean, analyse and visualize article data. Thus, it has been found that the pioneer country in this research area is China, followed by the USA and India. The study allows to conclude that in the field of management science, ANNs are mostly used for: logistic regression, prediction, classification, forecasting, modelling, data mining and clustering, among others. In addition, it has also been found that the most used neural network is the convolutional neural network (CNN).

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