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Research Progress of Neuroimaging Techniques in Organizational Behavior Under the Background of Smart City

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The 2020 International Conference on Machine Learning and Big Data Analytics for IoT Security and Privacy (SPIOT 2020)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1283))

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Abstract

The rapid development of information technology will not only affect social life, business operation and other aspects, but also have an important impact on the academic research field of theoretical progress, method innovation and other aspects. This paper discusses the application value of neuroscience technologies in the development of organizational behavior in China, and introduces the commonly used neuroimaging techniques in foreign countries. This paper proposes that in order to further carry out theoretical innovation, knowledge reengineering and enterprise management model innovation, neuroimaging techniques can be used as an important supplementary means to expand the toolbox of traditional organizational behavior measurement methods and play an important role in theoretical progress and innovation as well as management model reform.

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Authors and Affiliations

  1. Department of Economics and Management, Lanzhou University of Technology, Lanzhou, 730050, Gansu, China

    Shimin An & Zhen Zhang

Authors
  1. Shimin An
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  2. Zhen Zhang
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Corresponding author

Correspondence to Zhen Zhang .

Editor information

Editors and Affiliations

  1. David Goldman Informatics Centre, University of Sunderland, Sunderland, UK

    John MacIntyre

  2. University of Shanghai for Science and Technology, Shanghai, China

    Jinghua Zhao

  3. Shenzhen University, Shenzen, Guangdong, China

    Xiaomeng Ma

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An, S., Zhang, Z. (2021). Research Progress of Neuroimaging Techniques in Organizational Behavior Under the Background of Smart City. In: MacIntyre, J., Zhao, J., Ma, X. (eds) The 2020 International Conference on Machine Learning and Big Data Analytics for IoT Security and Privacy. SPIOT 2020. Advances in Intelligent Systems and Computing, vol 1283. Springer, Cham. https://doi.org/10.1007/978-3-030-62746-1_107

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