审计
质量审核
业务
审查
信息技术审计
控制环境
探索性研究
审核计划
会计
内部审计
知识管理
联合审计
过程管理
计算机科学
社会学
政治学
人类学
法学
作者
Ravi Seethamraju,Angela Hecimovic
标识
DOI:10.1177/03128962221108440
摘要
Artificial intelligence (AI) is likely to transform the audit profession. This exploratory study, by utilising the technology–organisation–environment (TOE) framework and data from semi-structured interviews, identifies several technological (perceived benefits, compatibility, maturity), organisational (readiness, data quality, trust) and environmental (audit standards, regulation, client readiness) factors influencing the adoption of AI tools in audit practice. While AI has the potential to improve audit quality and deliver value-adding services to audit clients, our study concludes that AI adoption requires a rethink of audit practice considering the perceived lack of control in AI ‘black-box’ potentially rendering audit practice even more hidden from view and exposed to increased scrutiny over audit quality. JEL Classification: M42, O31, O32, O33
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