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Big data technologies: An empirical investigation on their adoption, benefits and risks for companies

机译:大数据技术:对公司采用,收益和风险的实证研究

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摘要

Companies currently have to deal with profound changes in the way they manage their business, their customers and their business models, since they are overrun by a data-driven revolution in management. This revolution is due to the wide availability of big data and the fast evolution of big data technologies. Big data is recognized as one of the most important areas of future technology, and is fast gaining the attention of many industries, since it can provide high value to companies. This article investigates the adoption levels of big data technologies in companies, and the big data sources used by them. This article also points out the most frequently recognized strategic, transactional, transformational and informational benefits and risks related to the usage of big data technologies by companies. In order to achieve these aims, the paper looks at the differences that exist among companies of different sizes, by comparing medium-sized and large companies, and the differences among companies of different industrial sectors. It provides evidence that only in a few cases these differences are significant. This study could serve as a reference for managers who wish to initiate an evaluation cycle on the adoption and usage of big data technologies.
机译:公司目前必须应对其业务,客户和业务模型的管理方式的深刻变化,因为它们已被数据驱动的管理革命所淹没。这场革命是由于大数据的广泛可用性和大数据技术的快速发展。大数据被公认为是未来技术最重要的领域之一,并且由于它可以为公司提供高价值,因此正迅速引起许多行业的关注。本文研究了公司中大数据技术的采用水平以及它们使用的大数据源。本文还指出与公司使用大数据技术相关的最常被认可的战略,交易,转型和信息优势和风险。为了实现这些目标,本文通过比较中型和大型公司,研究了不同规模的公司之间存在的差异,以及不同行业的公司之间的差异。它提供的证据表明,只有在少数情况下,这些差异才有意义。该研究可以为希望启动有关大数据技术采用和使用评估周期的管理人员提供参考。

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