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Artificial Intelligence and COVID Effect on Accounting

  • 2022
  • Book

About this book

This book considers the effects of COVID-19 on accounting, particularly with regard to the role of artificial intelligence in accounting in the post-pandemic business environment. The contributions in the book consider a variety of sectors that have been affected by the pandemic, such as the stock market, forensic accounting, Bitcoin, as well as the economic and educational responses to the pandemic and the aftermath felt by both developing and developed countries.
This book will be a valuable read for academics, students and practitioners of accounting who are keen to explore the future of the field in light of the pandemic.

Table of Contents

  1. Frontmatter

  2. Introduction Chapter

    1. Frontmatter

    2. Chapter 1. The Impact of Artificial Intelligence on Accounting and Auditing in Light of the COVID-19 Pandemic

      Bahaaeddin Alareeni, Allam Hamdan
      The chapter delves into the transformative potential of artificial intelligence in accounting and auditing, particularly in the wake of the COVID-19 pandemic. It begins by outlining the significant disruptions caused by the pandemic and the urgent need for innovative solutions. The text then explores how AI can enhance the quality, efficiency, and complexity of accounting and auditing activities during and post-pandemic. It raises critical research questions to guide future studies and concludes by emphasizing the need for further investigation and education in AI techniques to fully harness their benefits in overcoming pandemic-related challenges.
  3. Accounting and COVID-19 Effects

    1. Frontmatter

    2. Chapter 2. Under the COVID Pandemic: Is It the Springtime for Forensic Accounting Field to Blossom?

      Noor Aamer Al Shehab
      Under the COVID-19 pandemic, the rise in digital financial services has increased the vulnerability to fraud, making the role of forensic accounting more crucial than ever. This chapter delves into the concept of forensic accounting, its benefits, and the theories related to fraud detection. It highlights the role of forensic accountants in various settings, including divorce cases, insurance claims, and fraud investigations. The chapter also explores the integration of artificial intelligence in forensic accounting, emphasizing the importance of advanced analytics and machine learning in detecting and preventing financial crimes. Additionally, it discusses the knowledge, skills, and training required for forensic accountants and the challenges faced by the profession. The chapter concludes by recommending strategies to improve forensic accounting education and practice, emphasizing the need for collaboration between academia and industry to combat financial crimes effectively.
    3. Chapter 3. Co-movement Among COVID-19 Pandemic, Crude Oil, Stock Market of US, and Bitcoin: Empirical Evidence from WCA

      Bassem Ghorbali, Kamel Naoui, Abdelkader Derbali
      The chapter examines the impact of the COVID-19 pandemic on crude oil prices, the US stock market (S&P500), and Bitcoin, using empirical evidence from the Western Cape Area. It begins by outlining the timeline of the pandemic's spread and its initial impact on global stock markets. The authors then delve into the existing literature on the interconnectedness of financial markets, highlighting previous studies that have used copula methods and GARCH models to analyze these relationships. The chapter focuses on the period from January 21, 2020, to September 10, 2020, during which the US COVID-19 confirmed cases and financial market returns were collected. The analysis reveals significant volatility in all variables, with Bitcoin showing the highest volatility and crude oil prices registering a negative average return. The wavelet coherence analysis shows a strong co-movement between the US COVID-19 confirmed cases and Bitcoin, with the pandemic leading the stock market during the crisis. The findings highlight the systematic risk posed by the COVID-19 outbreak and the reduction in diversification benefits during the pandemic. The chapter concludes by emphasizing the importance of considering health crises as a factor influencing financial markets.
    4. Chapter 4. COVID-19 Surprises in China and in the USA: Which Is Useful in Explaining the Dynamic Nexus Among Energy Commodities and Bitcoin?

      Abdelkader Derbali, Kamel Naoui, Lamia Jamel
      The chapter delves into the effects of COVID-19 surprises in China and the USA on the dynamic correlation between energy commodities and Bitcoin. Using the GARCH-DCC(1,1) model, it analyzes how these surprises influence the volatility and correlations of Bitcoin and energy commodities such as Crude Oil WTI, Brent Oil, and Natural Gas. The study covers the period from July 2019 to June 2020 and provides empirical findings that demonstrate the significant impact of COVID-19 surprises on financial markets. The results show a notable difference in the impact of surprises from China and the USA, with Chinese surprises having a more substantial effect on the volatility of energy commodities and Bitcoin. The chapter also highlights the persistence of volatility in the presence of COVID-19 surprises and the bidirectional spillover effects between energy commodities and Bitcoin. The research contributes to the understanding of the financial and economic impacts of the COVID-19 pandemic on global markets.
    5. Chapter 5. Corona Virus (COVID-19) Pandemic: Economic and Educational Responses and Aftermath Effects in Developing and Developed Countries

      Derar Eleyan, Mohammed W. A. Saleh, Nafieh A. Assaf, Zahraddeen Salisu Maigoshi
      The chapter delves into the economic and educational responses to the COVID-19 pandemic across Nigeria, Malaysia, Palestine, the USA, and Germany. It examines the various palliative measures implemented by governments to cushion the economic blow, such as interest holidays on loans and direct cash transfers. The educational sector's response is also scrutinized, with a focus on the transition to online learning platforms and the challenges faced in developing countries due to inadequate infrastructure and resources. The chapter highlights the disparities in responses between developed and developing nations, underscoring the importance of robust economic and infrastructural support in effectively mitigating the pandemic's impact.
    6. Chapter 6. The Influence of the Ownership Structure and the Corporate Governance Procedures on the Capital Structure of the Tunisian Insurance Enterprises

      Abdelkader Derbali, Hany A. Saleh
      The chapter investigates the relationship between corporate governance, ownership structure, and capital structure in Tunisian insurance enterprises. It highlights how effective governance can enhance value creation and reduce conflicts of interest. Using a sample of 22 Tunisian insurance companies from 2000 to 2019, the study finds that improvements in governance have not significantly influenced financing policies. Key findings include a negative association between board size and leverage ratio, and a significant impact of independent members and institutional shareholders on debt levels. The study also underscores the importance of the ROE-dividend payout rate differential in shaping capital structure. This detailed analysis offers valuable insights into the complex interplay between governance, ownership, and financial strategies in the insurance sector.
  4. Artificial Intelligence and the Future of Accountancy

    1. Frontmatter

    2. Chapter 7. An Investigation of Artificial Intelligence Application in Auditing

      Tamanna Abdul Rahman Dalwai, Araby Madbouly, Syeeda Shafiya Mohammadi
      The chapter 'An Investigation of Artificial Intelligence Application in Auditing' delves into the transformative potential of AI in the auditing field. It discusses how AI, big data, and automation are revolutionizing audit processes, enhancing efficiency, and enabling auditors to gain deeper insights. The study also explores the ethical considerations and risks associated with AI implementation in auditing, emphasizing the need for proactive governance and regulatory updates. Additionally, it examines the future of auditing, suggesting a shift towards a continuous audit approach and the importance of developing new skill sets for auditors. The chapter provides a detailed literature review and concludes with insights into the implications of AI for the auditing profession.
    3. Chapter 8. With Application of Agency Theory, Can Artificial Intelligence Eliminate Fraud Risk? A Conceptual Overview

      Ali Rehman
      This chapter delves into the persistent problem of fraud in organizations despite numerous controls and regulations. It highlights the potential of artificial intelligence (AI) in revolutionizing fraud prevention and mitigation, moving beyond its current role as a support tool. The study proposes that AI, when applied through agency theory, can act as an agent for shareholders, enhancing corporate governance and significantly reducing fraud risks. By examining recent prominent fraud cases and the ethical guidelines surrounding AI, the chapter offers a comprehensive overview of how AI can be effectively integrated into organizational policies to prevent and mitigate fraud. The conceptual framework presented suggests a direct relationship between AI and fraud prevention, positioning AI as a vital component of a robust governance management system. This chapter not only provides a detailed literature review but also offers practical insights into the future of AI in combating fraud, making it a must-read for professionals seeking to understand the transformative potential of AI in this domain.
    4. Chapter 9. The Study of Islamic P2P Crowd Funding Model as an Alternative to SME Financing in Nigeria

      Shehu Abdulkadir, Auwal Adam Saad, Ashurov Sharofiddin
      This chapter delves into the Islamic P2P crowdfunding model as a viable alternative for SME financing in Nigeria, with a specific focus on startups. It introduces the concept of Islamic crowdfunding, highlighting its alignment with sharia principles and the benefits it offers in terms of equity, fairness, and sustainability. The study examines the impact of the COVID-19 pandemic on SMEs and how Islamic crowdfunding can serve as a resilient financing model during uncertain times. It also discusses the various models of Islamic crowdfunding, with a particular emphasis on the Mudarabah contract, which is widely used for equity-based financing. The chapter concludes by recommending the adoption of Fintech-supported Islamic P2P crowdfunding platforms to promote innovation, scalability, and sustainability among SMEs in emerging economies.
    5. Chapter 10. A Study on the Implementation of International Banking Standards by BCBS with Special Reference to Basel III Norms in Emerging Economies: Review of Empirical Literature

      Asif Pervez, Nadia Mansour, Rohit Bansal
      The chapter delves into the implementation of Basel III norms by the Basel Committee on Banking Supervision (BCBS) with a focus on emerging economies. It begins by discussing the core pillars of the financial system—risk and return—and the importance of effective capital, liquidity, asset, and risk management. The historical context of BCBS and the evolution of Basel norms from Basel I to Basel III are examined, with a particular emphasis on the goals and components of Basel III. The chapter then explores the readiness and implementation of Basel III norms in various countries, such as India, UAE, and Nepal, and discusses the challenges and opportunities faced by banks in these regions. It also highlights the impact of Basel III on bank performance, credit risk, and regulatory compliance. The study concludes with recommendations for further research and practical implications for banks and regulators.
    6. Chapter 11. The Role of International Tax Accounting in Assessing Digital and Virtual Tax Issues

      Hesham Zakaria
      The chapter delves into the evolving role of international tax accounting in the digital era, highlighting the need for standardized practices to address complex electronic transactions. It discusses the limitations of current tax accounting systems and the potential of AI in enhancing audit processes. The text also explores the importance of international tax accounting in achieving tax compliance and harmonization, and it provides insights into the future directions for developing international tax accounting standards.
  5. Backmatter

Title
Artificial Intelligence and COVID Effect on Accounting
Editors
Assist. Prof. Bahaaeddin Alareeni
Prof. Allam Hamdan
Copyright Year
2022
Publisher
Springer Nature Singapore
Electronic ISBN
978-981-19-1036-4
Print ISBN
978-981-19-1035-7
DOI
https://doi.org/10.1007/978-981-19-1036-4

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