@inproceedings{fc28c29191ba43cd9b231785fa62f166,
title = "The Intellectual Structure of Business Analytics: 2002–2019",
abstract = "This paper identifies the intellectual structure of business analytics using document co-citation analysis and author co-citation analysis. A total of 333 research documents and 17,917 references from the Web of Science were collected. A total of 15 key documents and nine clusters were extracted from the analysis to clarify the sub-areas. Furthermore, burst detection and timeline analysis were conducted to gain a better understanding of the overall changing trends in business analytics. The main implication of the research results is in its ability to provide the state of past and present standards to practitioners and to suggest further research into business analytics to researchers.",
keywords = "Author co-citation analysis, Business analytics, CiteSpace, Document co-citation analysis, Intellectual structure",
author = "Hyaejung Lim and Suh, \{Chang Kyo\}",
note = "Publisher Copyright: {\textcopyright} 2020, Springer Nature Switzerland AG.; 6th International Conference on Machine Learning, Optimization, and Data Science, LOD 2020 ; Conference date: 19-07-2020 Through 23-07-2020",
year = "2020",
doi = "10.1007/978-3-030-64583-0\_48",
language = "English",
isbn = "9783030645823",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Science and Business Media Deutschland GmbH",
pages = "540--550",
editor = "Giuseppe Nicosia and Varun Ojha and \{La Malfa\}, Emanuele and Giorgio Jansen and Vincenzo Sciacca and Panos Pardalos and Giovanni Giuffrida and Renato Umeton",
booktitle = "Machine Learning, Optimization, and Data Science - 6th International Conference, LOD 2020, Revised Selected Papers",
address = "Germany",
}