Technological Innovations Driving Environmental Accounting: A Sustainable Approach to Corporate Responsibility
Asian Journal of Economics, Business and Accounting · pp. 90–103 · Published 8 Jan 2025
10.9734/ajeba/2025/v25i11635Abstract
This paper seeks to discuss and analyze environmental accountability as a crucial aspect of business responsibility in today’s business world. Technological advancement has therefore reshaped the field of environmental accounting so that it cannot only measure an organization’s impact on the environment but also find ways of reducing it and incorporating it into its strategic plans. This paper aims to examine the influence of technology in the improvement of environmental accounting measures and findings of how these technologies aid in sustainable corporate responsibility. To achieve the primary objective, it is necessary to analyze the effects of big data analytics, artificial intelligence, and blockchain technologies on environmental accounting and identify opportunities and threats of such integration. The research questions related to identifying the impact of these technological advancements on the field of environmental accounting, known advantages, and disadvantages, as well as potential managerial actions that can foster environmental responsibility and sustainability. The hypotheses will postulate that such technological developments enhance the precision, clarity, and effectiveness of EA practices, organizational environmental performance, and sustainability would be improved for companies that have implemented these technologies, as well as, the enhanced stakeholder confidence and a better corporate image among institutions implementing the mentioned technologies. In this article, the author seeks to present technology as the biggest driver of change in environmental accounting and the best tool for ending the spin in corporate responsibility.
Cited by 1
1 citation reported by external sources — individual citing-article records aren't available to list yet.
Related research
- The Impact/Role of Artificial Intelligence in Anesthesia: Remote Pre-Operative Assessment and Perioperative — shares topic coverage
- Detecting Dental Caries through Captured Images Using the Machine Learning Technology Teachable Machine — shares topic coverage
- Harnessing Artificial Intelligence in Healthcare Analytics: From Diagnosis to Treatment Optimization — shares topic coverage
- Diagnostic Accuracy of Artificial Intelligence for Breast Cancer Detection: A Systematic Review — shares topic coverage
- Artificial Intelligence in the Analysis of the Fetal Genome in Utero: A Critical Review of Current Paradigms, Clinical Utility and Future Horizons — shares topic coverage
Article metrics
Real usage data collected on this platform.
5
Page views
0
PDF downloads
0
Outbound clicks
1
Citations
Views over time
Views by country
Approximate, from request IP at view time — not citizenship or institution. Countries with fewer than 5 views are grouped as "Other".
Traffic sources
Referring site, by host.
Views and downloads exclude known bots/crawlers. Citations combines this platform's own DOI-resolved index with each external source's own reported total — see Cited by above for individually listed citing works. Last refreshed 0 seconds ago.