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Over the mask of innovation management in the world of Big Data

机译：在大数据世界中的创新管理面具

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摘要

Big Data is one of the most debated topics, as its implications for innovation management and entrepreneurship development are attracting interest from researchers and practitioners. Despite the increasing interest on this topic, a relevant research question remains unsolved: what are the conditions required for the effective management of Big Data? Adopting the interpretative lens provided by Systems Thinking and Service Logic, a set of hypotheses are defined and tested through the Partial Least Squares (PLS), with reference to the 50 Big Data companies for 2017 as identified by Big Data Quarterly. The results show that several elements such as company's investment in innovation and technology and specialization of human resource positively impact on Big Data Companies' Return on Investment (ROI). Results and discussions herein enrich previous managerial debate about the domain of Big Data highlighting 'tangible' elements on which act for improving innovation management approaches for companies.
机译：大数据是最多争议的主题之一，因为它对创新管理和创业开发的影响是吸引研究人员和从业者的兴趣。尽管对这一主题的兴趣日益越来越令人兴趣，但有关的研究问题仍未解决：有效管理大数据的有效管理是什么？采用由系统思维和服务逻辑提供的解释镜头，通过部分最小二乘（PLS）定义和测试了一组假设，参考2017年由大数据季度标识的50大数据公司。结果表明，若干元素如公司对创新技术的投资以及人力资源专业对大数据公司投资回报（ROI）的影响。结果和讨论在以前关于大数据领域的管理辩论，突出了“有形”要素，以改善公司的创新管理方法。

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