Introducing Business Visual Analytics into Business Education by Information Technology and Computing Methods

Autor: Yuyu Zhang, Kan Kan Chan, Jun Liu
Rok vydání: 2022
Předmět:
Zdroj: Mobile Information Systems. 2022:1-13
ISSN: 1875-905X
1574-017X
DOI: 10.1155/2022/9018733
Popis: Business students feel an urgency to be competent involving business intelligence in their studies and career. This study examines the current literature on business visual analytic technologies (VATs), both in the business community and in business learning, and points out consideration as a research gap in the existing literature. We conduct a systematic review with database searches from 2006 to 2020. The objectives of the review are to identify (a). the existing terminologies related to VATs in the literature; (b). the purpose of VAT application and the benefits of VATs in the business community; and to examine (c). how the VATs are related to the educational context, particularly, in business learning. The findings indicate that VATs provide positive enhancement in business analytics; however, the effect of VAT application in business learning is rather limited. We provide insights for further studies involving VAT-enhanced business learning.
Databáze: OpenAIRE
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