Artificial intelligence and its applications in the context of accounting and disclosure

Purpose The purpose of this paper is to examine whether artificial intelligence (AI) increases data and information quality in the accounting and disclosure context. Design/methodology/approach Data were collected from financial managers, who are working in listed Jordanian firms in the Amman Stock Exchange. SmartPLS software based on the Partial Least Squares Structural Equation Modeling approach was used to test hypotheses. Findings The empirical results reached the acceptance of all hypotheses, and this means that all hypothesized relationships were positive, as the impact of AI was positive on data and information quality in the accounting and disclosure context, and also the adoption of digital disclosure mediated the relationship between AI and the quality of financial data and information, and hence, all hypotheses were statistically supported in the context of Jordan. Originality/value This study broadened the literature by proposing a research model that defines some of the main factors for determining financial managers’ perceptions of issues with digital financial disclosure adoption and its impact on financial data and information quality. By illuminating the relevance of these issues in the presence of the mandate of digital disclosure, this study sheds some light on digital disclosure regulators in making future policies for digital disclosure adoption among the different sectors such as financial, service and industrial in the Jordanian context.