Good Data, Good Questions: Leveraging Comprehensive, Direct-Observation Data Sets for Impactful Research on Organizations and the Environment
本文指出传统企业自报数据可靠性差，介绍来自卫星观测、法医遗传学等自然科学的高精度数据集，为管理研究者提供使用路线图，并探讨这些数据能回答的新研究问题，尤其有助于企业环境影响的清晰洞察。
Much research on organizations and the natural environment relies on self-reported corporate data of dubious reliability and accuracy. A new wave of data, originating in satellite observations, forensic genetics, hydrological maps and other sources, can help overcome these shortcomings. We identify several data sets from the natural sciences that are easily accessible and highly accurate, and provide roadmaps for management researchers to utilize them. We further explore the types of research questions these data sets enable, extending beyond the confines of environmental-financial performance relationships that have dominated previous research. By leveraging these and similar data sets, corporate sustainability researchers can obtain clearer insights into corporate environmental impact, opening doors to new avenues of inquiry.