Artificial intelligence adoption, audit quality and integrated financial reporting in GCC markets

被引:2
作者
Khan, Faisal [1 ]
Jan, Sharif Ullah [2 ]
Zia-ul-haq, Hafiz Muhammad [3 ]
机构
[1] City Univ Ajman, Coll Business, Ajman, U Arab Emirates
[2] FATA Univ, Dept Management Sci, Fr Kohat, Pakistan
[3] Univ Malaysia Terengganu, Fac Business Econ & Social Dev, Terengganu, Malaysia
关键词
AI adoption; Integrated financial reporting; GCC markets; Audit fee; Auditor industry specialization; Restatement; M410; M420; M480; NONAUDIT SERVICES; INTERNAL CONTROL; MANAGEMENT; CONSEQUENCES; DETERMINANTS; ENDOGENEITY; GOVERNANCE; CHALLENGES; MODEL;
D O I
10.1108/ARA-03-2024-0085
中图分类号
F8 [财政、金融];
学科分类号
0202 ;
摘要
PurposeThe current research investigates how the adoption of Artificial Intelligence (AI)-a set of technologies designed to enhance decision-making and automate processes-impacts Integrated Financial Reporting (IFR) in Gulf Cooperation Council (GCC) listed firms, which present the typical features of emerging economies. It is postulated that their IFR is enhanced as firms within these markets experience AI adoption. In addition, the study also focuses on the role of audit quality towards AI adoption and the IFR relationship within these regions. To this effect, the study examines the moderation effect of audit quality (using its sub-components i.e. audit fee, audit industry specialization and restatement) on the relationship between AI adoption experience and IFR in GCC.Design/methodology/approachThe investigation draws upon panel data consisting of 2,912 non-financial firm-year observations covering the period from 2010 to 2023 across GCC markets. To achieve its purpose, the study applies the conventional ordinary least square (OLS) to estimate the effect of AI adoption experience on IFR. Subsequently, to guarantee the robustness of the results, this study utilizes the propensity score matching (PSM) technique.FindingsThe results from empirical analysis disclose a direct impact of AI adoption on the IFR of the firms within GCC markets. Furthermore, the study also discovers that the high level of audit quality moderates this positive relationship. Therefore, in the GCC regions, firms with higher AI adoption show higher IFR effectiveness, mainly in the presence of specialized auditors and increased audit fees, whereas their relationship is stronger in the absence of restatements. The results are robust when tested through the PSM technique.Originality/valueThe results of this study highlight the significance for policymakers to ensure comprehensive AI adoption in GCC markets, as well as the appointment of industry specialists and the standardization of audit fees to support the improvement of IFR in the regions.
引用
收藏
页数:32
相关论文
共 110 条
  • [91] The Impact of Artificial Intelligence Disclosure on Financial Performance
    Shiyyab, Fadi Shehab
    Alzoubi, Abdallah Bader
    Obidat, Qais Mohammad
    Alshurafat, Hashem
    [J]. INTERNATIONAL JOURNAL OF FINANCIAL STUDIES, 2023, 11 (03):
  • [92] THE PRICING OF AUDIT SERVICES - THEORY AND EVIDENCE
    SIMUNIC, DA
    [J]. JOURNAL OF ACCOUNTING RESEARCH, 1980, 18 (01) : 161 - 190
  • [93] Singh R., 2023, Data Wrangling: Concepts, Applications and Tools, V251
  • [94] Smith SS, 2020, FUT BUS FIN, P165, DOI 10.1007/978-3-030-29761-9_13
  • [95] "Tone at the top": management's discussion and analysis and audit quality
    Tam, Kinsun
    Xu, Qiao
    Fernando, Guy
    Schneible, Richard A.
    [J]. MANAGERIAL AUDITING JOURNAL, 2023, 38 (05) : 602 - 633
  • [96] Tang Z., 2015, Corporate Governance: An International Review, V23, P399
  • [97] Thompson P., 2018, Economics of Innovation and New Technology, V27, P335
  • [98] A dynamic estimation of governance structures and financial performance for Singaporean companies
    Tuan Nguyen
    Locke, Stuart
    Reddy, Krishna
    [J]. ECONOMIC MODELLING, 2014, 40 : 1 - 11
  • [99] Dealing with endogeneity bias: The generalized method of moments (GMM) for panel data
    Ullah, Subhan
    Akhtar, Pervaiz
    Zaefarian, Ghasem
    [J]. INDUSTRIAL MARKETING MANAGEMENT, 2018, 71 : 69 - 78
  • [100] Vasarhelyi M.A., 2020, Journal of Emerging Technologies in Accounting, V17, P1