The DOI matches its Crossref record; 23 of the 23 references it cites were found in a registry or an index.
Research Landscape of Business Intelligence and Big Data analytics: A bibliometrics study
Abstract
Abstract Business Intelligence that applies data analytics to generate key information to support business decision making, has been an important area for more than two decades. In the last five years, the trend of “Big Data” has emerged and become a core element of Business Intelligence research. In this article, we review academic literature associated with “Big Data” and “Business Intelligence” to explore the development and research trends. We use bibliometric methods to analyze publications from 1990 to 2017 in journals indexed in Science Citation Index Expanded (SCIE), Social Science Citation Index (SSCI) and Arts & Humanities Citation Index (AHCI). We map the time trend, disciplinary distribution, high-frequency keywords to show emerging topics. The findings indicate that Computer Science and management information systems are two core disciplines that drive research associated with Big Data and Business Intelligence. “Data mining”, “social media” and “information system” are high frequency keywords, but “cloud computing”, “data warehouse” and “knowledge management” are more emphasized after 2016.
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Cites
Business intelligence and analytics: from big data to big impact
Chen, H., Chiang, R. H. L., & Storey, V. C. (2012) · MIS Quarterly · doi:10.2307/41703503 · Cited by 6,250
(2011) · Cited by 5,203
A Business Intelligence System
Luhn, H. P. (1958) · IBM Journal of Research and Development · doi:10.1147/rd.24.0314 · Cited by 728
Tourism analytics with massive user-generated content: a case study of Barcelona
Marine-Roig, E., & Anton Clavé, S. (2015) · Journal of Destination Marketing & Management · doi:10.1016/j.jdmm.2015.06.004 · Cited by 356
Moro, S., Cortez, P., & Rita, P. (2015) · Expert Systems with Applications · doi:10.1016/j.eswa.2014.09.024 · Cited by 331
Big data analytics for knowledge generation in tourism destinations – A case from Sweden
Fuchs, M., Höpken, W., & Lexhagen, M. (2014) · Journal of Destination Marketing & Management · doi:10.1016/j.jdmm.2014.08.002 · Cited by 308
Fernández, A., del Río, S., López, V., Bawakid, A., del Jesus, M. J., Benítez, J. M., & Herrera, F. (2014) · WIREs Data Mining and Knowledge Discovery · doi:10.1002/widm.1134 · Cited by 214
A Critical Analysis of Decision Support Systems Research Revisited: The Rise of Design Science
Arnott, D., & Pervan, G. (2014) · Journal of Information Technology · doi:10.1057/jit.2014.16 · Cited by 198
Big Data: Unleashing information
Tien, J. M. (2013) · Journal of Systems Science and Systems Engineering · doi:10.1007/s11518-013-5219-4 · Cited by 188
Effects of data set features on the performances of classification algorithms
Kwon, O., & Sim, J. M. (2013) · Expert Systems with Applications · doi:10.1016/j.eswa.2012.09.017 · Cited by 168
Cited by
The Impacts of the Applications of Artificial Intelligence in Maritime Logistics
AYLAK, B. L. (2022) · European Journal of Science and Technology · doi:10.31590/ejosat.1079206 · Cited by 19
Metadata
- Authors
- Liang, T.-P., & Liu, Y.-H.
- Venue
- Expert Systems with Applications
- Publisher
- Elsevier BV
- Published
- 2018-11
- Volume
- 111
- Pages
- 2-10
- ISSN
- 0957-4174 (ISSN-L)
- OpenAlex
- W2803678638
- Cited by
- 256
- References
- 23
- FWCI
- 33.23
- Type
- journal article
- Language
- en
- Open access
- closed
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- Liang, T.-P., & Liu, Y.-H. (2018). Research Landscape of Business Intelligence and Big Data analytics: A bibliometrics study. Expert Systems with Applications. https://doi.org/10.1016/j.eswa.2018.05.018
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
