Two decades of information systems: a bibliometric review
- 187 Downloads
Information systems (IS) is a vital research area in both science and engineering, whose revolutions in terms of theories, techniques, and applications promote the evolution of human society. At the same time, the complexity and dynamics of IS raise the challenge for exploring the topic in detail. In this paper, we present a quantitative analysis on bibliographic dataset to reveal the evolution of information systems in 2 decades (1996–2015). We select 39,767 papers published in 8 top-tier journals and conferences between 1996 and 2015 and explore the anatomy from manifold. We find that IS is experiencing the sustainable growth phase in terms of increased productivity, impact, and collaboration. The field is benefited from collaborative, open-minded, and in-depth efforts evidenced from the growing number of co-authors per paper, the continual declining of self-citation rate, and increased reference age, respectively. By applying topic detection models on paper titles, abstracts, and keywords, we infer the representative topics and research directions, which can also reveal the research landscape within this field. Finally, we measure the temporal trends of topics and identify the innovative years in the 20 years’ development history of IS. These discoveries can benefit not only researchers in terms of promoting understanding of the entire field, but also governments for funding agencies.
KeywordsInformation systems Statistical analysis Data analytics Science of science
JL, FX, IL, and XK designed the research; JT performed the experiments; XK and FX analyzed the data; JL and IL wrote the paper. All authors reviewed the manuscript.
Compliance with ethical standards
Conflict of interest
The authors declare that they have no conflict of interest.
- Arun, R., Suresh, V., Madhavan, C. V., & Murthy, M. N. (2010). On finding the natural number of topics with latent dirichlet allocation: Some observations. In Pacific-Asia conference on knowledge discovery and data mining (pp. 391–402). Springer.Google Scholar
- Finin, T., Cane, M., Sleeman, J., Halem, M., et al. (2016). Dynamic topic modeling to infer the influence of research citations on IPCC assessment reports. In Big data challenges, research, and technologies in the earth and planetary sciences workshop, IEEE int. conf. on big data.Google Scholar
- Hofmann, T. (2017). Probabilistic latent semantic indexing. In ACM SIGIR forum (Vol. 51, pp. 211–218). ACM.Google Scholar
- Ngo, G. H., Eickhoff, S. B., Fox, P. T., & Yeo, B. T. (2016). Collapsed variational bayesian inference of the author-topic model: Application to large-scale coordinate-based meta-analysis. In 2016 international workshop on pattern recognition in neuroimaging (PRNI) (pp. 1–4). IEEE.Google Scholar
- Savov, P., Jatowt, A., & Nielek, R. (2017). Towards understanding the evolution of the WWW conference. In Proceedings of the 26th international conference on world wide web companion (pp. 835–836). International World Wide Web Conferences Steering Committee.Google Scholar
- Sinha, A., Shen, Z., Song, Y., Ma, H., Eide, D., Hsu, B.-J. P., & Wang, K. (2015). An overview of microsoft academic service (MAS) and applications. In Proceedings of the 24th international conference on world wide web (pp. 243–246). ACM.Google Scholar
- Yan, E., & Ding, Y. (2010). Weighted citation: An indicator of an article’s prestige. Journal of the Association for Information Science and Technology, 61(8), 1635–1643.Google Scholar
- Yang, M., & Hsu, W. H. (2016). Hdpauthor: A new hybrid author-topic model using latent dirichlet allocation and hierarchical dirichlet processes. In Proceedings of the 25th international conference companion on world wide web (pp. 619–624). International World Wide Web Conferences Steering Committee.Google Scholar