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.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Achabal DD, Mcintyre SH et al (2000) A decision support system for vendor managed inventory. J Retail 76(4):430–454
Beged-Dov AG (1967) An overview of management science and information systems. Manag Sci 13(12):817
Blanchard BS, Fabrycky WJW (2010) Systems engineering and analysis. Prentice Hall, Upper Saddle River, pp 151–183
Brey P, Soraker JH (2017) Philosophy of computing and information technology. Philosophy of Technology & Engineering Sciences, pp 1341–1407
Closs DJ, Goldsby TJ, Clinton SR (2016) Information technology influences on world class logistics capability. Int J Phys Distrib Logist Manag 27(1):4–17
Goyal U, Jaiswal A (2017) Analysing software reliability modelling aspects using soft computing methodology. In: International conference on computing, communication and automation, pp 358–363
Huyn N (2001) Data analysis and mining in the life sciences. ACM Sigmod Record 30(3):76–85
Jardim JL, Silva AMLD (2017) A methodology for computing robust dynamic equivalents of large power systems. Electr Power Syst Res 143:513–521
Lo CTD, Qian K (2010) Green computing methodology for next generation computing scientists. In: Computer software and applications conference, pp 250–251
Mohktar MS, Lin K et al (2017) Design of a decision support system for a home telehealth application. Int J E-Health Med Commun (IJEHMC) 4(3):68–79
O’Beirne TH (1963) Scientific method: optimizing applied research decisions. Phys Bull 14(2):44
Sai Y, Yao YY, Zhong N (2001) Data analysis and mining in ordered information tables. In: IEEE International conference on data mining, pp 497–504
Scherf M, Epple A, Werner T (2005) The next generation of literature analysis: integration of genomic analysis into text mining. Brief Bioinform 6(3):287–297
Sharma M, Avasthi GP (2017) Information technology in banking: Challenges for regulators. Social Science Electronic Publishing
Stamatescu I, Arghira N et al (2017) Decision support system for a low voltage renewable energy system. Energies 10(1):118
Sugumaran V, Bose R (1999) Data analysis and mining environment: a distributed intelligent agent technology application. Ind Manag Data Syst 99(2): 71–80(10)
Yang W, Li K, Li K (2017) A hybrid computing method of spmv on cpucgpu heterogeneous computing systems. J Parallel Distrib Comput 104:49–60
Zuppo CM (2012) Defining ICT in a boundary less world: The development of a working hierarchy. Int J Manag Inf Technol 4(3)
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.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2019 Springer International Publishing AG, part of Springer Nature
About this paper
Cite this paper
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
Download citation
DOI: https://doi.org/10.1007/978-3-319-93351-1_1
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-93350-4
Online ISBN: 978-3-319-93351-1
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)