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Advancement of Computing Methodology, Data Analysis, Enterprise Operation Management and Decision Support System Based on the Eleventh ICMSEM Proceedings

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Proceedings of the Eleventh International Conference on Management Science and Engineering Management (ICMSEM 2017)

Part of the book series: Lecture Notes on Multidisciplinary Industrial Engineering ((LNMUINEN))

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Abstract

Management is playing an increasingly more important role in modern society. In particular, the development of efficient innovative managerial tools has significantly influenced social progress in management science and engineering management. In this paper, we first give a brief introduction to the eleventh ICMSEM proceedings Volume I. An analysis of the current management science topics reveals that computing methodology, data analysis, enterprise operation management, and decision support system have become key foci in the past few years. We then conduct a literature review to examine the main research in these four areas, after which the central issues in the eleventh ICMSEM Proceedings Volume I are examined using NodeXL. Finally, by analyzing the main keywords using CiteSpace, frontier management science is identified. All in all, the ICMSEM continues to provide a valuable forum for academic exchange and communication and will continue to play an important role in promoting MSEM advancements in the future.

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Acknowledgements

The author gratefully acknowledges Jingqi Dai and Lin Zhong’s efforts on the paper collection and classification, Zongmin Li and Lurong Fan’s efforts on data collation and analysis, and Ning Ma and Yan Wang’s efforts on the chart drawing.

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Correspondence to Jiuping Xu .

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Xu, J. (2018). Advancement of Computing Methodology, Data Analysis, Enterprise Operation Management and Decision Support System Based on the Eleventh ICMSEM Proceedings. In: Xu, J., Gen, M., Hajiyev, A., Cooke, F. (eds) Proceedings of the Eleventh International Conference on Management Science and Engineering Management. ICMSEM 2017. Lecture Notes on Multidisciplinary Industrial Engineering. Springer, Cham. https://doi.org/10.1007/978-3-319-59280-0_1

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  • DOI: https://doi.org/10.1007/978-3-319-59280-0_1

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-59279-4

  • Online ISBN: 978-3-319-59280-0

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