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Research Article Open access CC BY 4.0

Exploring the Impact of Predictive Analytics on Accounting and Auditing Expertise: A Regression Analysis of LinkedIn Survey Data

Olubukola Omolara Adebiyi

Asian Journal of Economics, Business and Accounting · pp. 286–305 · Published 4 Nov 2023

10.9734/ajeba/2023/v23i221153

Abstract

Considering the recent development of big data and its application in various business and management endeavors, there is a growing need for businesses and management of organizations to engage large amounts of data to make real-time decisions, improve financial reporting techniques, and optimize risk management systems in order to ensure increased effectiveness and efficiency in managing the financial resources of the organization. Also, to enhance auditing proficiency and detect fraudulent activities, auditing professionals are constantly engaged in routine tasks while conducting their professional engagements. This paper investigates the impacts of predictive analytics on accounting and auditing proficiency, focusing on financial reporting, fraud detection, risk management, and real-time decision-making. Predictive analytics is a data-driven approach that utilizes historical data and advanced modeling techniques to forecast future events and trends. Thus, this study aims to determine if integrating predictive analytics in accounting and auditing enhances heightened accuracy and reliability within these critical functions. The paper collected primary data through survey questionnaires from 366 accounting and auditing professionals with over ten years of experience. The data collected proved reliable as subjected to a Cronbach alpha reliability test. Linear regression was employed to test the hypothesis. The study found a positive significant relationship between predictive analytics and financial reporting accuracy, fraud detection, real-time decision-making, and risk management. The study recommends that organizations should embrace and invest in predictive analytics technologies in order to enhance their financial performance, while accounting and auditing professionals should commit to continuous learning and skills development in machine learning in order to heighten their proficiency in building proficient predictive analytics models that effectively assess risks, detect fraudulent actions, increase financial reporting accuracy, and supports real-time decision making.

Big data business management financial reporting risk management auditing proficiency predictive analytics accounting proficiency fraud detection forecast machine learning

References (35)

  1. 1 Digital Transformation and Cybersecurity Challenges for Businesses Resilience: Issues and Recommendations [DOI]
  2. 2 Big Data Analytics in Building the Competitive Intelligence of Organizations [DOI]
  3. 3 Deep learning for detecting financial statement fraud [DOI]
  4. 4 Machine learning and deep learning methods for intrusion detection systems: recent developments and challenges [DOI]
  5. 5 How information technology automates and augments processes: Insights from Artificial‐Intelligence‐based systems in professional service operations [DOI]
  6. 6 Data intelligence and analytics: A bibliometric analysis of human–Artificial intelligence in public sector decision-making effectiveness [DOI]
  7. 7 Emerging procurement technology: data analytics and cognitive analytics [DOI]
  8. 8 Motivation to use big data and big data analytics in external auditing [DOI]
  9. 9 Assessing data-driven sustainable supply chain management indicators for the textile industry under industrial disruption and ambidexterity [DOI]
  10. 10 A Study on the Transformation of Accounting Based on New Technologies: Evidence from Korea [DOI]
  11. 11 In Validations We Trust? The Impact of Imperfect Human Annotations as a Gold Standard on the Quality of Validation of Automated Content Analysis [DOI]
  12. 12 Distributed denial of service attack prediction: Challenges, open issues and opportunities [DOI]
  13. 13 Advancing Data-Driven Decision-Making in Smart Cities through Big Data Analytics: A Comprehensive Review of Existing Literature [DOI]
  14. 14 Big data, data analytics and artificial intelligence in accounting: an overview [DOI]
  15. 15 Artificial intelligence for anti-money laundering: a review and extension [DOI]
  16. 16 The convergence of big data and accounting: innovative research opportunities [DOI]
  17. 17 Understanding How Big Data Technologies Reconfigure the Nature and Organization of Financial Statement Audits: A Sociomaterial Analysis [DOI]
  18. 18 Pareto-efficient solutions and regulations of congested ride-sourcing markets with heterogeneous demand and supply [DOI]
  19. 19 Improving Tax Audit Efficiency Using Machine Learning: The Role of Taxpayer’s Network Data in Fraud Detection [DOI]
  20. 20 Evaluating and Establishing Baseline Security Requirements in Cloud Computing: An Enterprise Risk Management Approach [DOI]
  21. 21 Utilizing Big Data Analytics and Business Intelligence for Improved Decision-Making at Leading Fortune Company [DOI]
  22. 22 Effects of Information Governance (IG) on Profitability in the Nigerian Banking Sector [DOI]
  23. 23 The Importance of COSO Framework Compliance in Information Technology Auditing and Enterprise Resource Management [DOI]
  24. 24 Navigating Risk in the Modern Business Landscape: Strategies and Insights for Enterprise Risk Management Implementation [DOI]
  25. 25 Exploring the Landscape of Decentralized Autonomous Organizations: A Comprehensive Review of Blockchain Initiatives [DOI]
  26. 26 Electricity Consumption (kW) Forecast for a Building of Interest Based on a Time Series Nonlinear Regression Model [DOI]
  27. 27 WhatsApp Data Policy, Data Security and Users’ Vulnerability [DOI]
  28. 28 Spurious normativity enhances learning of compliance and enforcement behavior in artificial agents [DOI]
  29. 29 A Probabilistic Transformation of Distance-Based Outliers [DOI]
  30. 30 Modernising operational risk management in financial institutions via data-driven causal factors analysis: A pre-registered report [DOI]
  31. 31 Detecting Insider Threat via a Cyber-Security Culture Framework [DOI]
  32. 32 USE OF DATA ANALYTICS TOOLS FOR INCREASED EFFICIENCY IN THE INTERNAL AUDIT PROJECT PORTFOLIO [DOI]
  33. 33 Retail Analytics: Driving Success in Retail Industry with Big Data Analytics [DOI]
  34. 34 Cybersecurity Data Science: An Overview from Machine Learning Perspective [DOI]
  35. 35 Fintech in Financial Reporting and Audit for Fraud Prevention and Safeguarding Equity Investments [DOI]

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