INTEGRATING IT GOVERNANCE INTO BIG DATA ANALYTICS AND ITS RELATIONSHIP WITH AUDIT REPORTING LAG: A CONCEPTUAL FRAMEWORK

Abstract

This paper conceptualises a framework that examines the moderating effect of IT-governance on the relationship between Big Data Analytics (BDA) and Audit Reporting Lag (ARL). ARL is measured in terms of audit reporting delay (length of days between 2023 financial year-end and audit report certification date). An Effective BDA has a significant reducing effect on ARL. However, there are limited studies conducted on BDA and how IT-governance could influence organisations' audit reporting lag through BDA. Many business organisations globally do not incorporate IT governance initiatives within their corporate strategy, whereas they should be critical input for strategic management and corporate planning. Anchoring the study on agency theoretical perspective, this study integrates BDA with ITgovernance to examine their effect on audit reporting lag. This paper proposes a data triangulation method to obtain information about companies' big data analytics and IT-governance. Structured questionnaires can be deployed to obtain data on BDA and IT governance while secondary data related to audit reporting lag measurement will be extracted from annual reports of firms. The paper proposes ordinary least square (OLS) for the proposed analysis. The conceptual model espoused by this study will provide insights in formulating strategies and serve as an important conduit to enhance the reliability and credibility of firms’ audit outcome. The integration of BDA and ITG assists organisations in the improvement of ARL, thus reducing information asymmetry among the business, the insurance companies, the lenders and the shareholders of the company.