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Big Data Analytics and Corporate Social Responsibility: Making Sustainability Science Part of the Bottom Line

机译：大数据分析和企业社会责任：使可持续发展科学部分的底线

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In this article we discuss various aspects of applying big data computation to sustainable and resilient management practices, leading to proactive responses to ecological and financial issues. All the sensors and data gathering engines over the years have inevitably created so-called “big data,” with changes in data generation creating new filing, storage, and access requirements with more to come. The move to Open Data access has made these data available to all, but these new sources of knowledge and decision support have not been exploited purposefully by many corporations. The needs of the environment and human societies must not be forgotten, but seem to be increasingly subsumed by the frenetic scramble to monetize data and information for profit. Destruction of the environment and resulting species extinctions are ongoing as well as damages caused by misuse of personal data. Here, we discuss the costs of corporate neglect of social, environmental and economic responsibility for the sake of unrelenting profit. Usually a discussion of costs ends with the bottom line, hopefully in the black, which is the first bottom line “Profit”. We are arguing for the conversation to include other bottom lines, i.e. the community or “People” and the environment or “Planet.” These are the three P’s, three bottom lines, or 3BL.
机译：在本文中，我们讨论了将大数据计算应用于可持续和弹性管理实践的各个方面，从而积极地应对生态和财务问题。多年来，所有传感器和数据收集引擎都不可避免地创造了所谓的“大数据”，具有更多数据生成的变化，从而创建新的申请，存储和访问要求。开放数据访问的移动使这些数据提供给所有这些数据，但许多公司都没有明确地利用这些新的知识和决策支持。不得遗忘环境和人类社会的需求，但似乎越来越多地归入狂热的争夺来货币化数据和获利的信息。对环境的破坏和产生的物种灭绝正在进行，并且滥用个人数据造成的损害。在这里，我们讨论了为不懈的利润而忽视社会，环境和经济责任的成本。通常讨论成本以底线结束，希望在黑色中，这是第一个底线“利润”。我们正在争论谈话，包括其他底线，即社区或“人”和环境或“行星”。这些是三个p的三个底线或3bl。

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