文本挖掘最有道德的公司的使命宣言

IF 1.7 4区 计算机科学 Q3 COMPUTER SCIENCE, INFORMATION SYSTEMS Data Technologies and Applications Pub Date : 2022-02-15 DOI:10.1108/dta-10-2021-0280
T. Bayrak
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引用次数: 0

摘要

本文探讨并考察了全球最具道德公司的使命宣言,包括其主要目的、价值观、目标和目的,以及他们对自己的愿景和目标的看法。设计/方法/方法本研究基于道德村研究所(Ethisphere Institute)发布的数据,该研究所是定义和推进道德商业实践标准的全球领导者。在将使命声明汇编成文本文件后,作者使用商业上可用的文本挖掘工具SAS Enterprise Miner进行文本挖掘,以调查最具道德的公司是否重视相同的愿景和使命,如社会责任和道德。对3M和Voya等公司的使命声明的回顾表明,在这项研究中,一些最具道德的公司努力做到“对社会负责和道德”,支持他们的“社会”,尊重和保护“自然”、“地球”和“环境”。世界上最具道德的公司在其使命声明中强调这些加权条款,可能会通过对社会负责和道德,并为客户提供可持续的商业解决方案来展示他们的承诺。原创性/价值本研究对最具道德的公司的使命宣言进行了系统和全面的探索,试图找出这些宣言中的差异和相似之处。
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Text mining the mission statements of the most ethical companies
PurposeThis paper explores and examines the mission statements of the most ethical companies across the globe in terms of their main purposes, values, goals, and objective, and what they say about their vision and goals.Design/methodology/approachThis study is based on the data published by the Ethisphere Institute, the global leader in defining and advancing the standards of ethical business practices. Having compiled the mission statements into a text file, the authors conducted text mining using a commercially available text mining tool SAS Enterprise Miner to survey if the most ethical companies have valued the same vision and mission such as social responsibility and ethics.FindingsA review of their mission statements indicated that some of the most ethical companies surveyed in this study such as 3M and Voya strive to be “socially responsible and ethical,” support their “societies” and respect and protect the “nature,” “planet” and “environment.” The world's most ethical companies that stress these weighted terms in their mission statements may do so to show their commitment by being socially responsible and ethical, and delivering sustainable business solutions to their customers.Originality/valueThis study provides a systematic and comprehensive exploration of mission statements of the most ethical companies in an attempt to identify patterns of differences and similarities within these statements.
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来源期刊
Data Technologies and Applications
Data Technologies and Applications Social Sciences-Library and Information Sciences
CiteScore
3.80
自引率
6.20%
发文量
29
期刊介绍: Previously published as: Program Online from: 2018 Subject Area: Information & Knowledge Management, Library Studies
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