{"title":"A Literature Review on Corporate Governance Mechanisms: Past, Present, and Future*","authors":"Jackie Di Vito, Kim Trottier","doi":"10.1111/1911-3838.12279","DOIUrl":null,"url":null,"abstract":"<div>\n \n <p>This study is a literature review on corporate governance. Its objective is to consolidate our knowledge in this field, examine its evolution, and propose avenues for future research. In our review of the past and present literature on various governance measures and their effect on firm performance, we find that the empirical results are mixed for many of the governance mechanisms studied. We propose that these mixed results may be due to applying a “one size fits all” set of governance measures, which is not effective for all types of firms due to the complexity of organizations and the differences in ownership structures. We therefore explore more technologically advanced methodologies, including machine learning. We believe that this line of research could not only improve and refine existing governance measures but also allow us to better target which set of mechanisms might be appropriate for a firm based on its particular characteristics. We encourage future researchers in corporate governance to consider this approach in order to shed light on and fill the gaps in this area of research.</p>\n </div>","PeriodicalId":43435,"journal":{"name":"Accounting Perspectives","volume":"21 2","pages":"207-235"},"PeriodicalIF":1.6000,"publicationDate":"2021-10-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"9","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Accounting Perspectives","FirstCategoryId":"1085","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1111/1911-3838.12279","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"BUSINESS, FINANCE","Score":null,"Total":0}
引用次数: 9
Abstract
This study is a literature review on corporate governance. Its objective is to consolidate our knowledge in this field, examine its evolution, and propose avenues for future research. In our review of the past and present literature on various governance measures and their effect on firm performance, we find that the empirical results are mixed for many of the governance mechanisms studied. We propose that these mixed results may be due to applying a “one size fits all” set of governance measures, which is not effective for all types of firms due to the complexity of organizations and the differences in ownership structures. We therefore explore more technologically advanced methodologies, including machine learning. We believe that this line of research could not only improve and refine existing governance measures but also allow us to better target which set of mechanisms might be appropriate for a firm based on its particular characteristics. We encourage future researchers in corporate governance to consider this approach in order to shed light on and fill the gaps in this area of research.
期刊介绍:
Accounting Perspectives provides a forum for peer-reviewed applied research, analysis, synthesis and commentary on issues of interest to academics, practitioners, financial analysts, financial executives, regulators, accounting policy makers and accounting students. Articles are sought from academics and practitioners that address relevant issues in any and all areas of accounting and related fields, including financial accounting and reporting, auditing and other assurance services, management accounting and performance measurement, information systems and related technologies, tax policy and practice, professional ethics, accounting education, and related topics. Without limiting the generality of the foregoing.