Institute of Information Systems, University of Liechtenstein, Vaduz, Principality of Liechtenstein.
PLoS One. 2017 Apr 12;12(4):e0174807. doi: 10.1371/journal.pone.0174807. eCollection 2017.
Organizations are increasingly using sustainability reports to inform their stakeholders and the public about their sustainability practices. We apply topic modelling to 9,514 sustainability reports published between 1999 and 2015 in order to identify common topics and, thus, the most common practices described in these reports. In particular, we identify forty-two topics that reflect sustainability and focus on the coverage and trends of economic, environmental, and social sustainability topics. Among the first to analyse such a large amount of data on organizations' sustainability reporting, the paper serves as an example of how to apply natural language processing as a strategy of inquiry in sustainability research. The paper also derives from the data analysis ten propositions for future research and practice that are of immediate value for organizations and researchers.
组织越来越多地使用可持续发展报告来向利益相关者和公众通报其可持续发展实践。我们应用主题建模方法分析了 1999 年至 2015 年间发布的 9514 份可持续发展报告，以确定常见主题，从而确定这些报告中描述的最常见实践。具体来说，我们确定了 42 个主题，这些主题反映了可持续性，并侧重于经济、环境和社会可持续性主题的覆盖范围和趋势。作为第一批分析如此大量关于组织可持续发展报告数据的论文之一，本文为如何将自然语言处理作为可持续性研究的一种探究策略提供了范例。该文还从数据分析中得出了十个针对未来研究和实践的建议，这些建议对组织和研究人员具有直接价值。
