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The questions we ask: Opportunities and challenges for using big data analytics to strategically manage human capital resources

机译:我们提出的问题:使用大数据分析策略性管理人力资本资源的机遇与挑战

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摘要

Big data analytics have transformed research in many fields, including the business areas of marketing, accounting and finance, and supply chain management. Yet, the discussion surrounding big data analytics in human resource management has primarily focused on job candidate screenings. In this article, we consider how significant strategic human capital questions can be addressed with big data analytics, enabling HR to enhance overall firm performance. We also examine how new data sources that help assess workforce performance in real time can assist in the identification and development of the knowledge stars that contribute to firm performance disproportionately as well as help reinforce firm capabilities. But in order for big data analytics to be successful in the HR field, regulatory and ethical challenges must also be addressed; these include privacy concerns and, in Europe, the General Data Protection Regulation (GDPR). We conclude by discussing how big data analytics can facilitate strategic change within HR and the organization as a whole. (C) 2019 Kelley School of Business, Indiana University. Published by Elsevier Inc. All rights reserved.
机译:大数据分析已经改变了许多领域的研究,包括营销,会计和金融以及供应链管理等业务领域。然而,围绕人力资源管理中的大数据分析的讨论主要集中在求职者筛选上。在本文中,我们将考虑如何通过大数据分析解决重要的战略性人力资本问题,从而使人力资源部能够提高公司整体绩效。我们还研究了有助于实时评估员工绩效的新数据源如何帮助识别和发展知识明星,这些知识明星对公司绩效的贡献不成比例,并有助于增强公司的能力。但是,为了使大数据分析在人力资源领域取得成功,还必须应对法规和道德挑战;这些包括隐私问题,以及在欧洲的通用数据保护条例(GDPR)。最后,我们讨论了大数据分析如何促进人力资源和整个组织的战略变革。 (C)2019印第安纳大学凯利商学院。由Elsevier Inc.出版。保留所有权利。

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