Abstract
As a broad interdisciplinary study of problem solving and decision making in human organizations, management science (MS) uses various scientific research-based principles, strategies, and analytical methods such as mathematical modeling, statistics, and data analysis to improve an organization’s ability to enact rational and accurate management decisions to determine optimal or near optimal solutions to complex decision problems. This paper first gives a brief introduction to the 12th ICMSEM proceedings Volume I to examine how decision support systems, computing methodologies, information technologies, and data analysis and mining have become key foci in the past few years. Then a literature review is conducted to examine the main research areas associated with the central issues in the 12th ICMSEM proceedings Volume I. Finally, reference keywords are analyzed using CiteSpace to identify the innovations at the frontier of management science. ICMSEM continues to provide a valuable forum for academic exchange and communication to promote future innovation in management science and engineering management.
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Acknowledgements
The author gratefully acknowledges Jingqi Dai and Tingting Liu’s efforts on the paper collection and classification, Zongmin Li and Lurong Fan’s efforts on data collation and analysis, and Rongwei Sun and Mengyuan Zhu’s efforts on the chart drawing.
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Xu, J. (2019). Advancement of Decision Support System, Computing Methodology, Information Technology, Data Analysis and Mining Based on the Twelfth ICMSEM Proceedings. In: Xu, J., Cooke, F., Gen, M., Ahmed, S. (eds) Proceedings of the Twelfth International Conference on Management Science and Engineering Management. ICMSEM 2018. Lecture Notes on Multidisciplinary Industrial Engineering. Springer, Cham. https://doi.org/10.1007/978-3-319-93351-1_1
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DOI: https://doi.org/10.1007/978-3-319-93351-1_1
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