Exploring the Role of AI in Corporate Governance: Leveraging Potential for Productivity, Efficiency, and Competitive Advantage
DOI:
https://doi.org/10.56830/IJGMBS12202301Keywords:
Artificial intelligence, corporate governance, technology, digital transformation.Abstract
The role of AI in corporate governance is crucial, as companies seek to leverage their potential to increase productivity and efficiency, and AI is increasingly being used to automate processes, provide insights, and improve decision-making, thereby enabling companies to gain a competitive advantage. The importance of this research lies in highlighting the role of AI in corporate governance, analyzing the impact of this role in enterprise business development based on application to corporate governance systems, as well as identifying the basic needs of governance-based companies to make the most of AI operations. Corporate governance is one of the key tools to counter the effects of recent economic changes, the global financial crisis, and the structural deficiencies of many companies, due to sound corporate oversight and oversight, as well as to sound corporate governance practices. expertise and skills, as well as dysfunctional financing structures the inability to generate sufficient internal cash flows to meet their accrued liabilities, and a lack of transparency.
References
Aleem, M., Sufyan, M., Ameer, I., & Mustak, M. (2023). Remote work and the COVID-19 pandemic: An artificial intelligence-based topic modeling and a future agenda. Journal of business research, 154, 113303. DOI: https://doi.org/10.1016/j.jbusres.2022.113303
Baburaj, A. (2021). Intuitive Decision Making: How Far Can It Transform Corporate Governance? GNLU L. Rev., 8, 233.
Buchanan, B. (2019). Artificial intelligence in finance.
Cui, X., Xu, B., & Razzaq, A. (2022). Can Application of Artificial Intelligence in Enterprises Promote the Corporate Governance? Frontiers in Environmental Science, 10, 944467. DOI: https://doi.org/10.3389/fenvs.2022.944467
Dafri, W., & Al-Qaruty, R. (2023). Challenges and opportunities to enhance digital financial transformation in crisis management . Social Sciences & Humanities Open, 8(1), 100662. DOI: https://doi.org/10.1016/j.ssaho.2023.100662
Fischer, M., Imgrund, F., Janiesch, C., & Winkelmann, A. (2020). Strategy archetypes for digital transformation: Defining meta-objectives using business process management. Information & Management, 57(5), 103262. DOI: https://doi.org/10.1016/j.im.2019.103262
Gallardo, C., Rodríguez, S. P., Chango, I. E., Quevedo, W. X., Santana, J., Acosta, A. G., et al. (2018). Augmented reality as a new marketing strategy. In DOI: https://doi.org/10.1007/978-3-319-95270-3_29
Augmented Reality, Virtual Reality, and Computer Graphics: 5th International Conference, AVR 2018, Otranto, Italy, June 24-27, 2018, Proceedings, Part I 5 , pp. 351-362. Springer International Publishing.
Hanisch, M., Goldsby, C. M., Fabian, N. E., & Oehmichen, J. (2023). Digital governance: A conceptual framework and research agenda. Journal of Business Research, 162, 113777. DOI: https://doi.org/10.1016/j.jbusres.2023.113777
Hickman, E., & Petrin, M. (2021). Trustworthy AI and corporate governance: the EU’s ethics guidelines for trustworthy artificial intelligence from a company law perspective. European Business Organization Law Review, 22, 593-625. DOI: https://doi.org/10.1007/s40804-021-00224-0
Hilpisch, Y. (2020). Artificial Intelligence in Finance. O'Reilly Media.
Hoffmann-Riem, W. (2020). Artificial intelligence as a challenge for law and regulation. Regulating artificial intelligence, 1-29. DOI: https://doi.org/10.1007/978-3-030-32361-5_1
Jr., R., E., H., & Trahan, E. A. (2007). Corporate financial control mechanisms and firm performance: The case of value-based management systems. Journal of business finance & accounting, 34(1-2), 111-138. DOI: https://doi.org/10.1111/j.1468-5957.2006.00660.x
Liang, D., Tsai, C. F., Lu, H. Y., & Chang, L. S. (2020). Combining corporate governance indicators with stacking together for financial distress prediction. Journal of Business Research, 120, 137-146. DOI: https://doi.org/10.1016/j.jbusres.2020.07.052
Lichtenthaler, U. (2018). Beyond artificial intelligence: why companies need to go the extra step. Journal of Business Strategy, 41(1), 19-26. DOI: https://doi.org/10.1108/JBS-05-2018-0086
Malik, A., Budhwar, P., & Kazmi, B. A. (2023). Artificial intelligence (AI)assisted HRM: Towards an extended strategic framework. Human Resource Management Review, 33(1), 100940. DOI: https://doi.org/10.1016/j.hrmr.2022.100940
Mäntymäki, M., Minkkinen, M., Birkstedt, T., & Viljanen, M. (2022). Defining organizational governance. AI and Ethics, 2(4), 603-609. DOI: https://doi.org/10.1007/s43681-022-00143-x
Mohamed, E. L., SADIK, A., & IBOURK, A. (2022). Impact of good governance practices on the performance of microfinance institutions: A Monthly Review. International Journal of Gestion Sciences, 5(3).
Petrin, M. (2019). Corporate Management in the Age of AI. . Colum. Bus. L. Rev, 965. DOI: https://doi.org/10.2139/ssrn.3346722
Schneider, J., Abraham, R., Meske, C., & Brocke, J. V. (2020). AI governance for businesses. arXiv preprint . arXiv:2011.10672.
Schuler, B. A., Orr, K., & Hughes, J. (2023). My colleagues (do not) think the same: Middle managers' shared and separate realities in strategy implementation. Journal of Business Research, 160, 113782. DOI: https://doi.org/10.1016/j.jbusres.2023.113782
Soluk, J., Decker-Lange, C., & Hack, A. (2023). A dynamic capabilities perspective on business networks and non-disruptive digital technologies in SMEs. Technological forecasting and social change, 191, 122490. DOI: https://doi.org/10.1016/j.techfore.2023.122490
Sternberg, R. (2023). Intelligence. The Palgrave Encyclopedia of the Possible, 793-800. DOI: https://doi.org/10.1007/978-3-030-90913-0_187
Tawakol, F. (2023). The Role of Artificial Intelligence in Voting inside JointStock Company Meetings. J. Legal Ethical & Regul. Isses, 26, 1.
Uddin, M. H., Mollah, S., Islam, N., & Ali, M. H. (2023). Does digital transformation matter for operational risk exposure? Technological Forecasting and Social Change, 197, 122919. DOI: https://doi.org/10.1016/j.techfore.2023.122919






