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THE ROLE OF ARTIFICIAL INTELLIGENCE TECHNOLOGY ADOPTION IN ENHANCING AUDIT AND FINANCIAL REPORTING QUALITY WITHIN DIFFERENT GOVERNANCE ENVIRONMENTS

Yıl 2024, Cilt: 15 Sayı: 2, 157 - 180, 19.12.2024

Öz

This study investigates adopting artificial intelligence (AI) technology to enhance audit and financial reporting quality (FRQ) within different governance environments. The research explores how AI adoption can improve audit quality (AQ) in changing governance environments and seeks to understand the interplay between AI technologies and governance structures (corporate governance, regulatory frameworks, and ethical standards) in auditing processes. The study also examines the potential of AI to address common audit challenges and enhance the efficiency and effectiveness of audits, as well as how its impact varies in different governance contexts. The study was conducted in Turkey with a sample of 650 auditors. Adopting AI in accounting practices is further influenced by organisational readiness (organisational) and attitudes (individual) towards technology, as outlined in the technology readiness index (TRI) and the Technology Acceptance Model (TAM). This study contributes to the existing literature by highlighting auditors' and accountants' perceptions of AI's contribution to enhancing AQ and FRQ within different governance environments.

Kaynakça

  • Abdullah, A. A. H., & Almaqtri, F. A. (2024). “The Impact of Artificial Intelligence and Industry 4.0 on Transforming Accounting and Auditing Practices”. Journal of Open Innovation: Technology, Market, and Complexity, 10(100218), 1-15. https://doi.org/10.1016/j.joitmc.2024.100218.
  • Afsay, A., Tahriri, A., & Rezaee, Z. (2023). “A Meta-analysis of factors Affecting Acceptance of Information Technology in Auditing”. International Journal of Accounting Information Systems, 49, 100608. Ajzen, I. (1991). "The Theory of Planned Behavior". Organizational Behavior and Human Decision Processes, 50(2), 179-211.
  • Alles, M., & Gray, G. L. (2016). "Incorporating Big Data in Audits: Identifying Inhibitors and a Research Agenda to Address Those Inhibitors". International Journal of Accounting Information Systems, 22, 44-59. Alles, M. G. (2015). "Drivers of the Use and Facilitators and Obstacles of the Evolution of Big Data by the Audit Profession". Accounting Horizons, 29(2), 439-449.
  • American Institute of Certified Public Accountants (AICPA). (2017). Guide to Audit Analytics an Overview. Available at: https://www.aicpa.org/resources/article/guide-to-audit-data-analytics-an-overview
  • Arpaci, I., Yardimci, Y. C., Ozkan, S., & Turetken, O. (2012). "Organizational Adoption of Information Technologies: A Literature Review". International Journal of ebusiness and egovernment Studies, 4(2), 37-50.
  • Bananuka, J., Nkundabanyanga, S. K., Nalukenge, I., & Kaawaase, T. (2018). "Internal Audit Function, Audit Committee Effectiveness and Accountability in the Ugandan Statutory Corporations". Journal of Financial Reporting and Accounting, 16(1), 138-157.
  • Barr‐Pulliam, D., Brown‐Liburd, H. L., & Munoko, I. (2022). "The Effects of Person‐Specific, Task, and Environmental Factors on Digital Transformation and Innovation in Auditing: A Review of the Literature". Journal of International Financial Management & Accounting, 33(2), 337-374.
  • Barth, M. E., Beaver, W. H., & Landsman, W. R. (2001). "The Relevance of the Value Relevance Literature for Financial Accounting Standard Setting: Another View". Journal of Accounting and Economics, 31(1-3), 77-104. Braun, R. L., & Davis, H. E. (2003). "Computer‐assisted Audit Tools and Techniques: Analysis and Perspectives". Managerial Auditing Journal, 18(9), 725-731.
  • Cao, L., Li, W., & Zhang, L. (2015). "Audit Mode Change, Corporate Governance and Audit Effort". China Journal of Accounting Research, 8(4), 315-335.
  • Carcello, J. V., Hermanson, D. R., & Raghunandan, K. (2005)." Factors Associated with US Public Companies' Investment in Internal Auditing". Accounting Horizons, 19(2), 69-84.
  • Choi, J.-H., Kim, C., Kim, J.-B., & Zang, Y. (2010). Audit Office Size, Audit Quality, and Audit Pricing. Auditing: A Journal of Practice & Theory, 29(1), 73-97.
  • Cohen, D. A., Dey, A., & Lys, T. Z. (2008). "Real and Accrual‐Based Earnings Management in the Pre‐And Post‐Sarbanes‐Oxley Periods". The Accounting Review, 83(3), 757-787.
  • Dagilienė, L., & Klovienė, L. (2019). "Motivation to Use Big Data and Big Data Analytics in External Auditing". Managerial Auditing Journal, 34(7), 750-782.
  • Damerji, H., & Salimi, A. (2021). "Mediating Effect of Use Perceptions on Technology Readiness and Adoption of Artificial Intelligence in Accounting". Accounting Education, 30(2), 107-130. Davenport, T. H., & Ronanki, R. (2018). "Artificial Intelligence for the Real World". Harvard Business Review, 96(1), 108-116.
  • Davis, F. D. (1989). "Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology". MIS Quarterly, 319-340.
  • Deangelo, L. E. (1981). "Auditor Size and Audit Quality". Journal of Accounting and Economics, 3(3), 183-199.
  • Defond, M., & Zhang, J. (2014). "A Review of Archival Auditing Research". Journal Of Accounting And Economics, 58(2-3), 275-326.
  • Deloitte. 2020. The Window for AI Competitive Advantage is Narrowing How Can AI Adopters Keep Their Edge? Https://Www2.Deloitte.Com/Us/En/Insights/Industry/ Technology/Ai-Competitive-Advantage-Narrowing.Html.
  • Eilifsen, A., Kochetova, N., & Messier Jr, W. F. (2019). "Mitigating the Dilution Effect in Auditors' Judgments Using a Frequency Response Mode". Behavioral Research in Accounting, 31(2), 51-71.
  • Fama, E. F., & Jensen, M. C. (1983). "Separation of Ownership and Control". The Journal Of Law And Economics, 26(2), 301-325.
  • Field, A. (2013). Discovering Statistics Using IBM SPSS Statistics: Sage.
  • Fakhfakh, J., & Jarboui, A. (2022). Two-Tier Board Characteristics and Audit Risk: Evidence from Expanded Audit Reporting. Review of Quantitative Finance and Accounting.
  • Francis, J. R. (2024). "What Exactly Do We Mean by Audit Quality?" Accounting In Europe, 21(2), 123–133. https://Doi.Org/10.1080/17449480.2023.2247410
  • Gepp, A., Linnenluecke, M. K., O’Neill, T. J., & Smith, T. (2018). "Big Data Techniques in Auditing Research and Practice: Current Trends and Future Opportunities". Journal Of Accounting Literature, 40(1), 102-115.
  • Glikson, E., & Woolley, A. W. (2020). "Human Trust in Artificial Intelligence: Review Of Empirical Research". Academy Of Management Annals, 14(2), 627-660.
  • Han, H., Shiwakoti, R. K., Jarvis, R., Mordi, C., & Botchie, D. (2023). "Accounting and Auditing with Blockchain Technology and Artificial Intelligence: A Literature Review". International Journal Of Accounting Information Systems, 48, 100598. Https://Doi.Org/10.1016/J.Accinf.2023.100598
  • Hassan, S., Aksar, M. A., Khan, S., Ahmed, T., & Zahoor, M. (2023). "Impact of Audit Quality on Real Earnings Management: Moderating Role of Corporate Governance". Reviews Of Management Sciences, 5(1), 1-12.
  • Haßler, B., Adam, T., Brugha, M., Damani, K., Allier-Gagneur, Z., Hennessy, S., Murphy, M. (2019). Literature Reviews of Educational Technology Research in Low and Middle-Income Countries: An Audit of the Field. Retrieved From Janvrin, D., Bierstaker, J., & Lowe, D. J. (2008). "An Examination of Audit Information Technology Use and Perceived Importance". Accounting Horizons, 22(1), 1-21.
  • Jarrahi, M. H. (2018). "Artificial Intelligence and the Future of Work: Human-AI Symbiosis in Organizational Decision Making". Business Horizons, 61(4), 577-586.
  • K. Johl, S., Kaur Johl, S., Subramaniam, N., & Cooper, B. (2013). "Internal Audit Function, Board Quality and Financial Reporting Quality: Evidence from Malaysia". Managerial Auditing Journal, 28(9), 780-814.
  • Klein, A. (2002). "Audit Committee, Board of Director Characteristics, and Earnings Management". Journal of Accounting and Economics, 33(3), 375-400.
  • Kokina, J., & Davenport, T. H. (2017). "The Emergence of Artificial Intelligence: How Automation is Changing Auditing". Journal of Emerging Technologies in Accounting, 14(1), 115-122.
  • Krahel, J. P., & Titera, W. R. (2015). "Consequences of Big Data and Formalization on Accounting and Auditing Standards". Accounting Horizons, 29(2), 409-422.
  • Krieger, F., Drews, P., & Velte, P. (2021). "Explaining the (Non-) Adoption of Advanced Data Analytics in Auditing: A Process Theory". International Journal of Accounting Information Systems, 41, 100511.
  • Lai, K.-W. (2009). "Does Audit Quality Matter More for Firms With High Investment Opportunities?". Journal of Accounting and Public Policy, 28(1), 33-50.
  • Lehner, O. M., Ittonen, K., Silvola, H., Ström, E., & Wührleitner, A. (2022). "Artificial Intelligence Based Decision-Making in Accounting and Auditing: Ethical Challenges and Normative Thinking". Accounting, Auditing & Accountability Journal, 35(9), 109-135.
  • Li, L., Qi, B., Robin, A., & Yang, R. (2022). "The Effect Of Enforcement Action On Audit Fees And The Audit Reporting Lag". Accounting and Business Research, 52(1), 38-66.
  • Lin, P., & Hazelbaker, T. (2019). "Meeting The Challenge of Artificial Intelligence: What Cpas Need To Know. The Cpa Journal, 89(6), 48-52.
  • Lowe, D. J., Bierstaker, J. L., Janvrin, D. J., & Jenkins, J. G. (2018). "Information Technology in an Audit Context: Have the Big 4 Lost Their Advantage?". Journal of Information Systems, 32(1), 87-107.
  • Mahzan, N., & Lymer, A. (2014). "Examining the Adoption of Computer-Assisted Audit Tools and Techniques: Cases of Generalized Audit Software Use By Internal Auditors". Managerial Auditing Journal, 29(4), 327-349. Manita, R., Elommal, N., Baudier, P., & Hikkerova, L. (2020). "The Digital Transformation of External Audit and Its Impact on Corporate Governance". Technological Forecasting and Social Change, 150, 119751.
  • Mohammadrezaei, F., Mohd‐Saleh, N., Jaffar, R., & Hassan, M. S. (2016). "The Effects of Audit Market Liberalisation and Auditor Type on Audit Opinions: The Iranian Experience". International Journal of Auditing, 20(1), 87-100.
  • Nalukenge, I., Tauringana, V., & Mpeera Ntayi, J. (2017). Corporate Governance and Internal Controls Over Financial Reporting in Ugandan Mfis. Journal of Accounting in Emerging Economies, 7(3), 294-317.
  • Noordin, N. A., Hussainey, K., & Hayek, A. F. (2022). "The Use of Artificial Intelligence and Audit Quality: An Analysis from the Perspectives of External Auditors in the UAE". Journal of Risk And Financial Management, 15(8), 339.
  • Orr, G. (2003). "Diffusion of Innovations", By Everett Rogers (1995). Retrieved January, 21, 2005.
  • Parasuraman, A., & Colby, C. L. (2015). "An Updated and Streamlined Technology Readiness Index: TRI 2.0". Journal Of Service Research, 18(1), 59-74.
  • Pedrosa, I., Costa, C. J., & Aparicio, M. (2020). "Determinants Adoption of Computer-Assisted Auditing Tools (Caats)". Cognition, Technology & Work, 22, 565-583.
  • Porter, C., & Sherwood, M. (2023). "The Effect of Increases in Board Independence on Financial Reporting Quality". Accounting Research Journal, 36(2/3), 109-128.
  • Qader, K. S., & Cek, K. (2024). "Influence of Blockchain and Artificial Intelligence on Audit Quality: Evidence from Turkey". Heliyon, 10, E30166. Https://Doi.Org/10.1016/J.Heliyon.2024.E30166
  • Ramen, M., Jugurnath, B., & Ramhit, P. (2015). UTR-CTOE: "A New Paradigm Explaining Caats Adoption". Journal of Modern Accounting and Auditing, 11(12), 615-631.
  • Rosli, K., Yeow, P. H., & Siew, E.-G. (2012). "Factors Influencing Audit Technology Acceptance by Audit Firms: A New I-TOE Adoption Framework". Journal of Accounting and Auditing, 2012, 1.
  • Roussy, M., & Brivot, M. (2016). "Internal Audit Quality: A Polysemous Notion?" Accounting, Auditing & Accountability Journal, 29(5), 714-738.
  • Seethamraju, R., & Hecimovic, A. (2023). "Adoption of Artificial Intelligence in Auditing: An Exploratory Study". Australian Journal of Management, 48(4), 780-800. Hhtps://Doi.Org/10.1177/03128962221108440
  • Salijeni, G., Samsonova-Taddei, A., & Turley, S. (2019). "Big Data and Changes in Audit Technology: Contemplating a Research Agenda". Accounting and Business Research, 49(1), 95-119.
  • Siew, E.-G., Rosli, K., & Yeow, P. H. (2020). "Organizational and Environmental Influences in the Adoption of Computer-Assisted Audit Tools and Techniques (Caatts) by Audit Firms in Malaysia". International Journal of Accounting Information Systems, 36, 100445.
  • Tiberius, V., & Hirth, S. (2019). "Impacts of Digitization on Auditing: A Delphi Study for Germany". Journal of International Accounting, Auditing and Taxation, 37, 100288.
  • Thottoli, M. M. (2024). "Leveraging Information Communication Technology (ICT) and Artificial Intelligence (AI) to Enhance Auditing Practices". Accounting Research Journal, 37(2), 134-149. https://doi.org/10.1108/ARJ-09-2023-0269 Vafeas, N. (2005). "Audit Committees, Boards, and The Quality of Reported Earnings". Contemporary Accounting Research, 22(4), 1093-1122.
  • Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D. (2003). "User Acceptance of Information Technology: Toward A Unified View". MIS Quarterly, 425-478.
  • Widuri, R., O’Connell, B., & Yapa, P. W. (2016). "Adopting Generalized Audit Software: An Indonesian Perspective. Managerial Auditing Journal, 31(8/9), 821-847.
  • Xie, X., Zou, H., & Qi, G. (2018). Knowledge Absorptive Capacity and Innovation Performance in High-Tech Companies: A Multi-Mediating Analysis". Journal of Business Research, 88, 289-297.

THE ROLE OF ARTIFICIAL INTELLIGENCE TECHNOLOGY ADOPTION IN ENHANCING AUDIT AND FINANCIAL REPORTING QUALITY WITHIN DIFFERENT GOVERNANCE ENVIRONMENTS

Yıl 2024, Cilt: 15 Sayı: 2, 157 - 180, 19.12.2024

Öz

This study investigates adopting artificial intelligence (AI) technology to enhance audit and financial reporting quality (FRQ) within different governance environments. The research explores how AI adoption can improve audit quality (AQ) in changing governance environments and seeks to understand the interplay between AI technologies and governance structures (corporate governance, regulatory frameworks, and ethical standards) in auditing processes. The study also examines the potential of AI to address common audit challenges and enhance the efficiency and effectiveness of audits, as well as how its impact varies in different governance contexts. The study was conducted in Turkey with a sample of 650 auditors. Adopting AI in accounting practices is further influenced by organisational readiness (organisational) and attitudes (individual) towards technology, as outlined in the technology readiness index (TRI) and the Technology Acceptance Model (TAM). This study contributes to the existing literature by highlighting auditors' and accountants' perceptions of AI's contribution to enhancing AQ and FRQ within different governance environments.

Kaynakça

  • Abdullah, A. A. H., & Almaqtri, F. A. (2024). “The Impact of Artificial Intelligence and Industry 4.0 on Transforming Accounting and Auditing Practices”. Journal of Open Innovation: Technology, Market, and Complexity, 10(100218), 1-15. https://doi.org/10.1016/j.joitmc.2024.100218.
  • Afsay, A., Tahriri, A., & Rezaee, Z. (2023). “A Meta-analysis of factors Affecting Acceptance of Information Technology in Auditing”. International Journal of Accounting Information Systems, 49, 100608. Ajzen, I. (1991). "The Theory of Planned Behavior". Organizational Behavior and Human Decision Processes, 50(2), 179-211.
  • Alles, M., & Gray, G. L. (2016). "Incorporating Big Data in Audits: Identifying Inhibitors and a Research Agenda to Address Those Inhibitors". International Journal of Accounting Information Systems, 22, 44-59. Alles, M. G. (2015). "Drivers of the Use and Facilitators and Obstacles of the Evolution of Big Data by the Audit Profession". Accounting Horizons, 29(2), 439-449.
  • American Institute of Certified Public Accountants (AICPA). (2017). Guide to Audit Analytics an Overview. Available at: https://www.aicpa.org/resources/article/guide-to-audit-data-analytics-an-overview
  • Arpaci, I., Yardimci, Y. C., Ozkan, S., & Turetken, O. (2012). "Organizational Adoption of Information Technologies: A Literature Review". International Journal of ebusiness and egovernment Studies, 4(2), 37-50.
  • Bananuka, J., Nkundabanyanga, S. K., Nalukenge, I., & Kaawaase, T. (2018). "Internal Audit Function, Audit Committee Effectiveness and Accountability in the Ugandan Statutory Corporations". Journal of Financial Reporting and Accounting, 16(1), 138-157.
  • Barr‐Pulliam, D., Brown‐Liburd, H. L., & Munoko, I. (2022). "The Effects of Person‐Specific, Task, and Environmental Factors on Digital Transformation and Innovation in Auditing: A Review of the Literature". Journal of International Financial Management & Accounting, 33(2), 337-374.
  • Barth, M. E., Beaver, W. H., & Landsman, W. R. (2001). "The Relevance of the Value Relevance Literature for Financial Accounting Standard Setting: Another View". Journal of Accounting and Economics, 31(1-3), 77-104. Braun, R. L., & Davis, H. E. (2003). "Computer‐assisted Audit Tools and Techniques: Analysis and Perspectives". Managerial Auditing Journal, 18(9), 725-731.
  • Cao, L., Li, W., & Zhang, L. (2015). "Audit Mode Change, Corporate Governance and Audit Effort". China Journal of Accounting Research, 8(4), 315-335.
  • Carcello, J. V., Hermanson, D. R., & Raghunandan, K. (2005)." Factors Associated with US Public Companies' Investment in Internal Auditing". Accounting Horizons, 19(2), 69-84.
  • Choi, J.-H., Kim, C., Kim, J.-B., & Zang, Y. (2010). Audit Office Size, Audit Quality, and Audit Pricing. Auditing: A Journal of Practice & Theory, 29(1), 73-97.
  • Cohen, D. A., Dey, A., & Lys, T. Z. (2008). "Real and Accrual‐Based Earnings Management in the Pre‐And Post‐Sarbanes‐Oxley Periods". The Accounting Review, 83(3), 757-787.
  • Dagilienė, L., & Klovienė, L. (2019). "Motivation to Use Big Data and Big Data Analytics in External Auditing". Managerial Auditing Journal, 34(7), 750-782.
  • Damerji, H., & Salimi, A. (2021). "Mediating Effect of Use Perceptions on Technology Readiness and Adoption of Artificial Intelligence in Accounting". Accounting Education, 30(2), 107-130. Davenport, T. H., & Ronanki, R. (2018). "Artificial Intelligence for the Real World". Harvard Business Review, 96(1), 108-116.
  • Davis, F. D. (1989). "Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology". MIS Quarterly, 319-340.
  • Deangelo, L. E. (1981). "Auditor Size and Audit Quality". Journal of Accounting and Economics, 3(3), 183-199.
  • Defond, M., & Zhang, J. (2014). "A Review of Archival Auditing Research". Journal Of Accounting And Economics, 58(2-3), 275-326.
  • Deloitte. 2020. The Window for AI Competitive Advantage is Narrowing How Can AI Adopters Keep Their Edge? Https://Www2.Deloitte.Com/Us/En/Insights/Industry/ Technology/Ai-Competitive-Advantage-Narrowing.Html.
  • Eilifsen, A., Kochetova, N., & Messier Jr, W. F. (2019). "Mitigating the Dilution Effect in Auditors' Judgments Using a Frequency Response Mode". Behavioral Research in Accounting, 31(2), 51-71.
  • Fama, E. F., & Jensen, M. C. (1983). "Separation of Ownership and Control". The Journal Of Law And Economics, 26(2), 301-325.
  • Field, A. (2013). Discovering Statistics Using IBM SPSS Statistics: Sage.
  • Fakhfakh, J., & Jarboui, A. (2022). Two-Tier Board Characteristics and Audit Risk: Evidence from Expanded Audit Reporting. Review of Quantitative Finance and Accounting.
  • Francis, J. R. (2024). "What Exactly Do We Mean by Audit Quality?" Accounting In Europe, 21(2), 123–133. https://Doi.Org/10.1080/17449480.2023.2247410
  • Gepp, A., Linnenluecke, M. K., O’Neill, T. J., & Smith, T. (2018). "Big Data Techniques in Auditing Research and Practice: Current Trends and Future Opportunities". Journal Of Accounting Literature, 40(1), 102-115.
  • Glikson, E., & Woolley, A. W. (2020). "Human Trust in Artificial Intelligence: Review Of Empirical Research". Academy Of Management Annals, 14(2), 627-660.
  • Han, H., Shiwakoti, R. K., Jarvis, R., Mordi, C., & Botchie, D. (2023). "Accounting and Auditing with Blockchain Technology and Artificial Intelligence: A Literature Review". International Journal Of Accounting Information Systems, 48, 100598. Https://Doi.Org/10.1016/J.Accinf.2023.100598
  • Hassan, S., Aksar, M. A., Khan, S., Ahmed, T., & Zahoor, M. (2023). "Impact of Audit Quality on Real Earnings Management: Moderating Role of Corporate Governance". Reviews Of Management Sciences, 5(1), 1-12.
  • Haßler, B., Adam, T., Brugha, M., Damani, K., Allier-Gagneur, Z., Hennessy, S., Murphy, M. (2019). Literature Reviews of Educational Technology Research in Low and Middle-Income Countries: An Audit of the Field. Retrieved From Janvrin, D., Bierstaker, J., & Lowe, D. J. (2008). "An Examination of Audit Information Technology Use and Perceived Importance". Accounting Horizons, 22(1), 1-21.
  • Jarrahi, M. H. (2018). "Artificial Intelligence and the Future of Work: Human-AI Symbiosis in Organizational Decision Making". Business Horizons, 61(4), 577-586.
  • K. Johl, S., Kaur Johl, S., Subramaniam, N., & Cooper, B. (2013). "Internal Audit Function, Board Quality and Financial Reporting Quality: Evidence from Malaysia". Managerial Auditing Journal, 28(9), 780-814.
  • Klein, A. (2002). "Audit Committee, Board of Director Characteristics, and Earnings Management". Journal of Accounting and Economics, 33(3), 375-400.
  • Kokina, J., & Davenport, T. H. (2017). "The Emergence of Artificial Intelligence: How Automation is Changing Auditing". Journal of Emerging Technologies in Accounting, 14(1), 115-122.
  • Krahel, J. P., & Titera, W. R. (2015). "Consequences of Big Data and Formalization on Accounting and Auditing Standards". Accounting Horizons, 29(2), 409-422.
  • Krieger, F., Drews, P., & Velte, P. (2021). "Explaining the (Non-) Adoption of Advanced Data Analytics in Auditing: A Process Theory". International Journal of Accounting Information Systems, 41, 100511.
  • Lai, K.-W. (2009). "Does Audit Quality Matter More for Firms With High Investment Opportunities?". Journal of Accounting and Public Policy, 28(1), 33-50.
  • Lehner, O. M., Ittonen, K., Silvola, H., Ström, E., & Wührleitner, A. (2022). "Artificial Intelligence Based Decision-Making in Accounting and Auditing: Ethical Challenges and Normative Thinking". Accounting, Auditing & Accountability Journal, 35(9), 109-135.
  • Li, L., Qi, B., Robin, A., & Yang, R. (2022). "The Effect Of Enforcement Action On Audit Fees And The Audit Reporting Lag". Accounting and Business Research, 52(1), 38-66.
  • Lin, P., & Hazelbaker, T. (2019). "Meeting The Challenge of Artificial Intelligence: What Cpas Need To Know. The Cpa Journal, 89(6), 48-52.
  • Lowe, D. J., Bierstaker, J. L., Janvrin, D. J., & Jenkins, J. G. (2018). "Information Technology in an Audit Context: Have the Big 4 Lost Their Advantage?". Journal of Information Systems, 32(1), 87-107.
  • Mahzan, N., & Lymer, A. (2014). "Examining the Adoption of Computer-Assisted Audit Tools and Techniques: Cases of Generalized Audit Software Use By Internal Auditors". Managerial Auditing Journal, 29(4), 327-349. Manita, R., Elommal, N., Baudier, P., & Hikkerova, L. (2020). "The Digital Transformation of External Audit and Its Impact on Corporate Governance". Technological Forecasting and Social Change, 150, 119751.
  • Mohammadrezaei, F., Mohd‐Saleh, N., Jaffar, R., & Hassan, M. S. (2016). "The Effects of Audit Market Liberalisation and Auditor Type on Audit Opinions: The Iranian Experience". International Journal of Auditing, 20(1), 87-100.
  • Nalukenge, I., Tauringana, V., & Mpeera Ntayi, J. (2017). Corporate Governance and Internal Controls Over Financial Reporting in Ugandan Mfis. Journal of Accounting in Emerging Economies, 7(3), 294-317.
  • Noordin, N. A., Hussainey, K., & Hayek, A. F. (2022). "The Use of Artificial Intelligence and Audit Quality: An Analysis from the Perspectives of External Auditors in the UAE". Journal of Risk And Financial Management, 15(8), 339.
  • Orr, G. (2003). "Diffusion of Innovations", By Everett Rogers (1995). Retrieved January, 21, 2005.
  • Parasuraman, A., & Colby, C. L. (2015). "An Updated and Streamlined Technology Readiness Index: TRI 2.0". Journal Of Service Research, 18(1), 59-74.
  • Pedrosa, I., Costa, C. J., & Aparicio, M. (2020). "Determinants Adoption of Computer-Assisted Auditing Tools (Caats)". Cognition, Technology & Work, 22, 565-583.
  • Porter, C., & Sherwood, M. (2023). "The Effect of Increases in Board Independence on Financial Reporting Quality". Accounting Research Journal, 36(2/3), 109-128.
  • Qader, K. S., & Cek, K. (2024). "Influence of Blockchain and Artificial Intelligence on Audit Quality: Evidence from Turkey". Heliyon, 10, E30166. Https://Doi.Org/10.1016/J.Heliyon.2024.E30166
  • Ramen, M., Jugurnath, B., & Ramhit, P. (2015). UTR-CTOE: "A New Paradigm Explaining Caats Adoption". Journal of Modern Accounting and Auditing, 11(12), 615-631.
  • Rosli, K., Yeow, P. H., & Siew, E.-G. (2012). "Factors Influencing Audit Technology Acceptance by Audit Firms: A New I-TOE Adoption Framework". Journal of Accounting and Auditing, 2012, 1.
  • Roussy, M., & Brivot, M. (2016). "Internal Audit Quality: A Polysemous Notion?" Accounting, Auditing & Accountability Journal, 29(5), 714-738.
  • Seethamraju, R., & Hecimovic, A. (2023). "Adoption of Artificial Intelligence in Auditing: An Exploratory Study". Australian Journal of Management, 48(4), 780-800. Hhtps://Doi.Org/10.1177/03128962221108440
  • Salijeni, G., Samsonova-Taddei, A., & Turley, S. (2019). "Big Data and Changes in Audit Technology: Contemplating a Research Agenda". Accounting and Business Research, 49(1), 95-119.
  • Siew, E.-G., Rosli, K., & Yeow, P. H. (2020). "Organizational and Environmental Influences in the Adoption of Computer-Assisted Audit Tools and Techniques (Caatts) by Audit Firms in Malaysia". International Journal of Accounting Information Systems, 36, 100445.
  • Tiberius, V., & Hirth, S. (2019). "Impacts of Digitization on Auditing: A Delphi Study for Germany". Journal of International Accounting, Auditing and Taxation, 37, 100288.
  • Thottoli, M. M. (2024). "Leveraging Information Communication Technology (ICT) and Artificial Intelligence (AI) to Enhance Auditing Practices". Accounting Research Journal, 37(2), 134-149. https://doi.org/10.1108/ARJ-09-2023-0269 Vafeas, N. (2005). "Audit Committees, Boards, and The Quality of Reported Earnings". Contemporary Accounting Research, 22(4), 1093-1122.
  • Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D. (2003). "User Acceptance of Information Technology: Toward A Unified View". MIS Quarterly, 425-478.
  • Widuri, R., O’Connell, B., & Yapa, P. W. (2016). "Adopting Generalized Audit Software: An Indonesian Perspective. Managerial Auditing Journal, 31(8/9), 821-847.
  • Xie, X., Zou, H., & Qi, G. (2018). Knowledge Absorptive Capacity and Innovation Performance in High-Tech Companies: A Multi-Mediating Analysis". Journal of Business Research, 88, 289-297.
Toplam 59 adet kaynakça vardır.

Ayrıntılar

Birincil Dil İngilizce
Konular Gelişme Çalışmaları (Diğer)
Bölüm Araştırma
Yazarlar

Kemal Çek

Yayımlanma Tarihi 19 Aralık 2024
Gönderilme Tarihi 21 Ağustos 2024
Kabul Tarihi 26 Eylül 2024
Yayımlandığı Sayı Yıl 2024 Cilt: 15 Sayı: 2

Kaynak Göster

APA Çek, K. (2024). THE ROLE OF ARTIFICIAL INTELLIGENCE TECHNOLOGY ADOPTION IN ENHANCING AUDIT AND FINANCIAL REPORTING QUALITY WITHIN DIFFERENT GOVERNANCE ENVIRONMENTS. LAÜ Sosyal Bilimler Dergisi, 15(2), 157-180.

Lefke Avrupa Üniversitesi (LAÜ) Sosyal Bilimler Dergisi haziran ve aralık aylarında olmak üzere yılda iki defa yayınlanan iki hakemli bir dergidir. Derginin yelpazesi toplum bilimlerinin tüm disiplinlerini ve dallarını kapsamaktadır. LAÜ Sosyal Bilimler Dergisi yalnızca Türkçe ve İngilizce makaleleri kabul etmektedir.  http://euljss.eul.edu.tr/euljss/