The Climate Disclosure Standards Board (CDSB) initiated the standards for sustainability and transparency in corporate reporting, which may be termed Green Accounting Standards (GAS). GAS encourages sustainable decision-making among businesses and practitioners. The present study explores the role of GAS on environmental sustainability in the firms located in the Alkharj governorate. Moreover, the mediating of social performance is also investigated in the relationship between GAS and environmental sustainability. For this purpose, a questionnaire is used to collect the data from accounting practitioners, and 224 valid responses are collected from the survey. The results of PLS-SEM show that GAS improves the environmental sustainability and social performance of the firms. Moreover, social performance also improves environmental sustainability. Thus, GAS promotes resource efficiency by tracking resource use and waste generation, which could be helpful in identifying opportunities for reducing environmental footprints. Thus, it also facilitates monitoring environmental performance in Alkharj to identify the areas needing improvement. Furthermore, GAS also improves social performance by recognizing social costs and engaging stakeholders, which are also facilitating more socially responsible decisions. Based on the results, the study recommends the firms in Alkharj governorate adopt GAS to improve environmental sustainability and social performance.

The purpose of this study is to investigate the impact of using artificial intelligence applications on the performance of accountants and audit firms. The final sample for this study comprises 38 audit firms. This study uses a survey-based methodology in the context of Saudi Arabia. The results of the multiple regression revealed that the audit firms using artificial intelligence applications perceive them as useful instruments that increase the performance of accountants and audit firms. They can reduce the cost, effort, and time of the audit process, achieve a competitive advantage for the audit firms, help auditors better determine materiality, achieve a competitive advantage, improve the performance of the audit team, carry out the continuous audit process better than the traditional audit, enable auditors to select audit samples with high efficiency, improve the quality of control procedures on electronic transactions and files used by the client, contribute to the management of operations and tasks with more sophisticated and intelligent mechanisms, increase the efficiency and effectiveness of the audit process and the efficiency and effectiveness of planning and supervising the audit process, reduce uncertainty and audit risk. The results reported by this study can be valuable for the accounting and auditing professions, audit firms, and standards and auditing regulators to deeply understand the extent to which artificial intelligence applications influence the performance of accountants and audit firms.