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2021 , Vol. 65 >Issue 6: 110 - 117

DOI: https://doi.org/10.13266/j.issn.0252-3116.2021.06.012

INFORMATION RESEARCH

A Comparative Empirical Study on Data Intelligence and Expert Knowledge from the Perspective of Trust

  • Liu Kunfeng ,
  • Li Yanhong ,
  • Zhang Xinyuan
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  • 1 School of Information Management, Zhengzhou University of Aeronautics, Zhengzhou 450046;
    2 Henan Academy of Big Data, Zhengzhou University, Zhengzhou 450052

Received date: 2020-08-20

  Revised date: 2020-12-23

  Online published: 2021-04-22

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Abstract

[Purpose/significance] Comparing users' perceptions of data intelligence and expert knowledge from the perspective of trust will help to understand the user's current trust status and differences between these two types of typical decision-making information sources, and then provide suggestions for the further application of data intelligence and the effective integration of data intelligence and expert knowledge. [Method/process] Based on the classic two-dimensional classification of trust, namely cognitive trust and emotional trust, a measurement scale including two pairs and four potential variables was designed. A total of 342 valid samples were collected by questionnaire survey. Descriptive statistics and paired sample t-test were employed for data analysis. [Result/conclusion] The study found that users' cognitive trust in data intelligence is significantly higher than expert knowledge, while their emotional trust in data intelligence is significantly lowerthan expert knowledge.

Key words： big data; artificial intelligence; data intelligence; expert knowledge; cognitive trust; emotional trust

Cite this article

Liu Kunfeng , Li Yanhong , Zhang Xinyuan . A Comparative Empirical Study on Data Intelligence and Expert Knowledge from the Perspective of Trust[J]. Library and Information Service, 2021 , 65(6) : 110 -117 . DOI: 10.13266/j.issn.0252-3116.2021.06.012

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