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Research on Exhibition Customer Relationship Management in Digital Era

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Published:24 March 2021Publication History

ABSTRACT

This paper uses ACSI model and life cycle theory to analyze the characteristics and essence of exhibition customer relationship, reveals the difference between the customer relationship in the digital era and the traditional customer relationship, emphatically points out the misunderstanding in the wisdom exhibition, and emphasizes that the essence of the exhibition customer relationship in the digital era is still the emotional and cognitive exchange between people, and it is not replaceable by technical means. This paper summarizes the shortcomings of customer relationship management in the digital age, and puts forward some suggestions.

References

  1. Hu Fen: Exhibition project management [M]. Wuhan: Wuhan University Press, 2014:21--26.Google ScholarGoogle Scholar
  2. Statistical report on China's exhibition data in 2019.Google ScholarGoogle Scholar
  3. UFI. Global Exhibition Industry Statistics[EB/OL].https://www.ufi.org/industry-resources/research/.Google ScholarGoogle Scholar
  4. Paul Greenburg, Customer Relationship Management, accessed December 10th, 2013:136.Google ScholarGoogle Scholar
  5. Zhang Jiankang. Technical deconstruction and humanistic care of smart exhibition [J]. Theoretical exploration, 2017 (4):46--47.Google ScholarGoogle Scholar
  6. Dong Jinxiang, et al. Customer Relationship Management CRM [M]. Hangzhou: Zhejiang University Press, 2002: 323.Google ScholarGoogle Scholar
  7. https://www.sohu.com/a/220625507_370822.Google ScholarGoogle Scholar
  8. Liu yonghuan. Problems and Countermeasures of implementing customer relationship management in exhibition enterprises [J]. Cooperative economy and science and technology, 2009(23):8.Google ScholarGoogle Scholar
  9. Li Hui. A teaching quality evaluation model based on a wavelet neural network improved by particle swarm optimization[J]. 2014, 14(3):110--120.Google ScholarGoogle Scholar
  10. Li jie. 2018. Principle of scientific knowledge------a beginner's guide for VOSviewer and CitNetExplorer. Beijing: Higher Education Press.Google ScholarGoogle Scholar
  11. Li Yuan, Luo Zhigang, Guan Naiyang, Yin Xiaoyao, Wang Bing, Bo Xiaochen, Li Fei. 2016. Application of deep learning in biomedical data analysis [J]. Advances in biochemistry and biophysics, 43(05): 472--483.Google ScholarGoogle Scholar

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    • Published in

      cover image ACM Other conferences
      EBIMCS '20: Proceedings of the 2020 3rd International Conference on E-Business, Information Management and Computer Science
      December 2020
      718 pages
      ISBN:9781450389099
      DOI:10.1145/3453187

      Copyright © 2020 ACM

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      Association for Computing Machinery

      New York, NY, United States

      Publication History

      • Published: 24 March 2021

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      Acceptance Rates

      EBIMCS '20 Paper Acceptance Rate112of566submissions,20%Overall Acceptance Rate143of708submissions,20%
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