Analysis on Influence of Business Intelligence Information Quality over User Information Adoption Based on Multiple Mediating Effects

Xiaogang Guo, Lifang Wang, Yanni Gao, Lixiang Guo and Gengxin Sun

Discrete Dynamics in Nature and Society, 2021, vol. 2021, 1-16

Abstract: From the perspective of information, this paper constructs a theoretical model based on information system (IS) success model and information adoption model (IAM), aiming to further disclose the action mechanism of business intelligence (BI) on user information adoption (UIA). Firstly, the BI factors affecting UIA were modeled in reference to the existing literature. Next, a questionnaire survey was carried out to collect valid samples from 423 Chinese enterprises. After that, an empirical analysis on structural equations was conducted on Amos 24.0 and SPSS 26.0. The results show that BI information content quality (ICQ), expected performance (EP), expected ease-of-use (EEOU), and perceived risk (PR) have a direct and significant influence on UIA, and ICQ further significantly influences UIA via mediators such as EP, EEOU, and PR; BI information access quality (IAQ) has a direct yet insignificant influence on UIA, but exerts a significant positive effect on UIA of BI via EP and EEOU. The research provides a new perspective into BI user behaviors in the context of big data, and a good reference for the successfully implementation and use of BI in practice.

Date: 2021
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Persistent link: https://EconPapers.repec.org/RePEc:hin:jnddns:7032037

DOI: 10.1155/2021/7032037

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