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Corporate social responsibility and institutional investment: A content analysis based portfolio screening model for socially responsible mutual funds.

机译:企业社会责任和机构投资:基于内容分析的社会责任共同基金投资组合筛选模型。

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摘要

This study has combined the traditionally disparate research areas of Corporate Social Responsibility Disclosure and Socially Responsible Investing with the use of content analysis, resulting in a better understanding of the portfolio screening decisions made by managers or other persons responsible for implementing social screens for socially responsible mutual funds. The results attained should enhance the credibility of the social screening process in general, and assist in maintaining and/or improving the competitiveness of all socially responsible mutual funds. In divergence from the extant accounting literature which has focused primarily on quantitative data, this dissertation highlights the need for accounting researchers to take a deeper look at the broader issues surrounding the use of qualitative data in accounting.; Employing a multi-method approach, five distinct research questions have been addressed. Regarding our understanding of the prevailing sources of corporate social responsibility information, we have learned that there is no one particular source, or even a handful of sources, that can be viewed as “the” source(s) of socially responsible information used by managers or other persons responsible for implementing social screens for socially responsible mutual funds. Further, we have teamed that these users of social responsibility information about firms ordinarily require access to such information as frequently as daily or weekly when considering new firms for inclusion in their portfolios. The first iteration in the ultimate formulation of a non-static “special purpose” taxonomy of corporate social responsibility concepts has also been completed. Although it is currently specific to managers or other persons responsible for implementing social screens for socially responsible mutual funds, the taxonomy can provide an empirically derived basis for making future specific suggestions regarding the possible makeup of corporate social responsibility reporting standards. model derived herein, although limited in its application due to the constraints imposed by the study's research design (primarily sample size and sampling methods employed), has supplied us with a number of interesting observations regarding the environmental screening decision processes of managers or other persons responsible for implementing social screens for socially responsible mutual funds.
机译:这项研究将传统上不同的企业社会责任披露和社会责任投资研究领域与内容分析相结合,从而更好地理解了由经理或其他负责实施对社会负责任的共同体进行社会筛选的人所做出的投资组合筛选决策。资金。总体而言,所取得的成果应增强社会审查程序的信誉,并有助于维持和/或提高所有对社会负责的共同基金的竞争力。与现有的主要针对定量数据的会计文献有所不同,本论文强调了会计研究人员需要更深入地研究定性数据在会计中使用的广泛问题。采用多方法方法,解决了五个不同的研究问题。关于我们对企业社会责任信息的主要来源的理解,我们了解到,没有一个特定的来源,甚至是少数几个来源,可以被视为经理使用的社会责任信息的“来源”或其他负责实施对社会负责的共同基金进行社会检查的人员。此外,我们已经合作,当考虑将新公司纳入其投资组合时,这些有关公司的社会责任信息的用户通常每天或每周需要频繁访问此类信息。公司社会责任概念的非静态“特殊目的”分类法的最终制定的第一个迭代也已完成。尽管它目前特定于经理或其他负责实施对社会负责的共同基金进行社会检查的人员,但是该分类法可以提供经验基础,以便就企业社会责任报告的可能构成提出未来的<斜体>具体建议标准。尽管由于研究设计的限制(主要是样本量和所采用的抽样方法),本文衍生的模型虽然在应用上受到限制,但它为我们提供了有关环境筛选决策的许多有趣观察结果经理或其他负责对社会负责的共同基金进行社会监督的人员的过程。

著录项

  • 作者

    Stone, Brett A.;

  • 作者单位

    State University of New York at Albany.;

  • 授予单位 State University of New York at Albany.;
  • 学科 Information Science.; Business Administration Accounting.; Business Administration General.
  • 学位 Ph.D.
  • 年度 1999
  • 页码 219 p.
  • 总页数 219
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 信息与知识传播;财务管理、经济核算;贸易经济;
  • 关键词

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