Corporate accountability and big data analytics: is non-financial disclosure a missing link?

Abstract

Purpose This paper aims to identify, synthesise and critically examine the extant academic research on the relation between big data analytics (BDA), corporate accountability and non-financial disclosure (NFD) across several disciplines. Design/methodology/approach This paper uses a structured literature review methodology and applies “insight-critique-transformative redefinition” framework to interpret the findings, develop critique and formulate future research directions. Findings This paper identifies and critically examines 12 research themes across four macro categories. The insights presented in this paper indicate that the nature of the relationship between BDA and accountability depends on whether an organisation considers BDA as a value creation instrument or as a revenue generation source. This paper discusses how NFD can effectively increase corporate accountability for ethical, social and environmental consequences of BDA. Practical implications This paper presents the results of a structured literature review exploring the state-of-the-art of academic research on the relation between BDA, NFD and corporate accountability. This paper uses a systematic approach, to provide an exhaustive analysis of the phenomenon with rigorous and reproducible research criteria. This paper also presents a series of actionable insights of how corporate accountability for the use of big data and algorithmic decision-making can be enhanced. Social implications This paper discusses how NFD can reduce negative social and environmental impact stemming from the corporate use of BDA. Originality/value To the best of the authors’ knowledge, this paper is the first one to provide a comprehensive synthesis of academic literature, identify research gaps and outline a prospective research agenda on the implications of big data technologies for NFD and corporate accountability along social, environmental and ethical dimensions.

The Impact of Big Data Analytics on The Detection of Errors And Fraud in Accounting Processes

“…Previous researches have confirmed (Adaga et al, 2024;Agostini et al, 2023;Lehner et al, 2022) the importance of strong ethical standards and oversight to balance the benefits of big data analytics with ethical concerns. Ethical considerations such as data privacy, licensing, transparency, and fairness have become prominent themes in the discourse surrounding the use of BDA in fraud detection.…”

“…By proactively addressing these ethical concerns, organizations can leverage big data analytics while maintaining stakeholder trust and adherence to ethical standards (Adaga et al, 2024;Lee, 2023;ogbodo, 2023). Agostini et al (2023) highlights the need for ethical stewardship and responsible practices to ensure fair outcomes. Thobjorn (2023) emphasizes the importance of data privacy, transparency, and fairness in the context of the BDA.…”

Discovering Hidden Associations among Environmental Disclosure Themes Using Data Mining Approaches

“…(5) electricity, gas, and steam; (6) fabricated metal products, machinery, electrical equipment, and vehicles; (7) food, beverage, and tobacco; (8) human health and social work activities; (9) mining and quarrying; (10) non-metallic mineral products; (11) technology; (12) textiles, wearing apparel, and leather; (13) transportation storage and telecommunication; and (14) wholesale and retail trade, restaurants, and hotels.…”