Research Article Multivariate Analysis for Overcoming Complexities of Corporate Governance and Managerial Dilemma Using Data Mining Techniques Jyotsna Ghildiyal Bijalwan 1 and Anchit Bijalwan 2,3 1 School of Business, British University Vietnam, Hung Yen, Vietnam 2 School of Computing and Innovative Technologies, British University Vietnam, Hung Yen, Vietnam 3 Faculty of Electrical & Computer Engineering, Arba Minch University, Arba Minch, Ethiopia Correspondence should be addressed to Anchit Bijalwan; anchit.bijalwan@amu.edu.et Received 7 June 2022; Revised 4 August 2022; Accepted 11 August 2022; Published 19 September 2022 Academic Editor: Stefan Cristian Gherghina Copyright © 2022 Jyotsna Ghildiyal Bijalwan and Anchit Bijalwan. is is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. e increased number of corporate dirty pools raised serious concerns about the interest of the shareholders. e board room politics, conflict of interest, and bully pulpit proclivity gave birth to the “agency complexities.” e complexities of the corporate world made a buzz for the serious thoughts on corporate governance. is analysis aims at an objective and scientific inquiry about the relationship between corporate governance complexities and firm performance by utilizing data mining tools. It aims at overcoming the corporate dilemma over profitability vs. good governance and presenting a scientific model to eradicate the complexities in the corporate governance system and aims at providing a scientific basis to overcome the complex issues of governance faced by the corporate. e multivariate analysis in this paper utilizes a data mining tool for regression analysis and ANOVA. is paper also proposes a mathematical model that supports the study outcomes. e investigation outcomes are not only backed by the mathematical model and scientific tools but also by a comprehensive comparative analysis. e outcome of the investigation clearly mentions the significance and the primacy of each variable in the corporate decisions making process, which will facilitate the organizations in framing their corporate governance policies and will also be helpful to the managers in overcoming the corporate dilemma faced by them. 1. Introduction e advent of a new era of science, technology, and in- formation revolution paved the way for several structural and regulatory reforms around the world. e great journey of trade and commerce from barter to sole trader and to the gigantic multinational corporations is like a metamorphic transformation of a caterpillar into a beautiful butterfly. is transition played a pivotal role in the genesis of the complex organizational structures which further led to operational framework failures, frauds, and unethical business practices. e increased number of corporate dirty pools raised serious concern about the interest of the investors. “Corporate dirty pools” is a comprehensive term used for insider trading, tunneling, and window dressing. It includes intentional implementation of a lame corporate governance framework, poor risk mitigation policies, fraudulent accounting prac- tices, and fabricated financial reporting. Accountability, truth and fairness, responsibility, transparency, and disclosure are some of the founding principles of corporate governance. Adherence to higher standards of corporate governance standards involves a cost to the organization. Harvard law school forum on corporate governance, in their report on global and regional trends in corporate governance for the year 2022 has mentioned the climate change and increased demands of assertive investors for sustainable ways of doing business (Fields et al.). Implementing the provisions related to financial reporting and disclosures on sustainability efforts of management for tackling the climate change challenges and simultaneously Hindawi Discrete Dynamics in Nature and Society Volume 2022, Article ID 5660442, 12 pages https://doi.org/10.1155/2022/5660442