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Adoption of Data Analytics Towards Competitive Advantage

Li Min

Abstract

This study explores how accounting professionals perceive and adopt big data analytics (BDA). It fills a gap in prior studies by integrating technical, managerial, and environmental dimensions across multiple specialized areas. A quantitative cross-sectional survey is conducted with 501 respondents from diverse accounting firms in China. Overall, participants exhibited positive attitudes toward the core characteristics of BDA, including velocity, value, veracity, variety, and volume. Distinct variations appeared among different specializations. Professionals focused on accounting rated technical aspects, especially data speed, more highly than those in other fields. Moreover, the analysis identified strong positive associations between professionals’ perceptions of BDA capabilities and their evaluations of the relevance of technological, organizational, and contextual factors influencing adoption. These insights highlighted that aligning organizational strategy with technological preparedness was critical for successful BDA implementation. The study concluded that enhancing technical infrastructure and fostering a data-driven organizational culture helped firms fully leverage BDA. By strategically investing in suitable technologies and integrating them with business objectives, accounting organizations significantly improved decision quality and operational precision.

Ascendens Asia Journal of Multidisciplinary Research Abstracts

Ascendens Asia Journal of Multidisciplinary Research Abstracts (AAJMRA)

The Ascendens Asia Journal of Multidisciplinary Research Abstracts (AAJMRA) is a collection of abstracts of research papers presented during Multidisciplinary Research Fests (MRFs) mainly organised by Ascendens Asia Singapore as well as other research conferences in collaboration with various institutions and learned societies.

Volumes

10 volumes

Issues

3 issues

ISSN

2591-7064