Open AccessTowards to author’s analytics: the case of DYNA journal
Author(s) -
Juan David Velásquez Henao,
Adriana Arango Londoño,
Alex Santiago Contreras Hernández
Publication year - 2020
Publication title -
dyna
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.164
H-Index - 18
eISSN - 2346-2183
pISSN - 0012-7353
DOI - 10.15446/dyna.v87n215.86505
Subject(s) - analytics , data science , business intelligence , computer science , business analytics , work (physics) , knowledge management , management , business model , business analysis , engineering , mechanical engineering , economics
In this article, systematic mapping of literature, business intelligence, descriptive analytics and tech mining techniques are used to generate insights to made data-driven editorial decisions and to formulate editorial policies. The proposed methodology is called author analytics in this work, and it has the aim of providing an integral view of the authors and topics of the journal and the authors, topics, documents, and journals citing the journal under review. The proposed methodology is applied to the DYNA (Colombia) journal. The proposed analysis reveals different and complementary points of view of the analyzed journal.