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.
Highlights
With the aid of information technology (IT), BI converts data into information and knowledge [1], providing information support to the decision-making of managers and facilitating the realization of business goals [2]. e rapid development of artificial intelligence (AI), big data and Internet of ings (IoT) has caused business intelligence (BI) to evolve continuously in the wave of innovation and entrepreneurship
BI information content quality (ICQ) and information access quality (IAQ) could promote user information adoption (UIA) via expected performance (EP). erefore, this paper proposes the following hypotheses: H8-1: EP mediates the relationship between BI Information Content Quality (BI ICQ) and information adoption
Many previous studies on BI are limited to technology, system features, or quantitative descriptions. ere is little report on the behaviors of BI users
Summary
With the aid of information technology (IT), BI converts data into information and knowledge [1], providing information support to the decision-making of managers and facilitating the realization of business goals [2]. e rapid development of artificial intelligence (AI), big data and Internet of ings (IoT) has caused business intelligence (BI) to evolve continuously in the wave of innovation and entrepreneurship. E development of information system (IS) intends to provide users with information and help them execute tasks This process is affected by users, organizations, systems, and environmental factors. Islam and Rahman [6] empirically analysed the factors affecting user participation and identified information quality and interaction as the leading impactors. E remainder of this paper is organized as follows: Section 2 introduces the relevant concepts and theoretical bases; Section 3 presents the hypotheses and constructs the model; Section 4 carries out empirical analysis; Section 5 analyzes the data and obtains the results; Section 6 summarizes the main findings, proposes management suggestions, clarifies contributions and limitations, and looks forward to future directions; Section 7 wraps up the research
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