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Developing human resource data risk management in the age of big data

机译:在大数据时代发展人力资源数据风险管理

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摘要

In recent years, a great deal of attention has been devoted to trying to understand the risk challenges that arise in information management, and most recently, challenges that arise due to big data. In this article, the complexities of big data for employers are explored, drawing on a risk management on Human Resources (HR) perspective and normal accident theory (NAT) to illustrate the evolving characteristics of these complexities. The paper concludes with a series of recommendations that focus on education, design in data collection, and risk management, in the hope that these recommendations enable employers to better anticipate and address emerging big data challenges.
机译:近年来,人们一直致力于尝试理解信息管理中出现的风险挑战,而最近,由于大数据而引起的挑战也引起了极大的关注。在本文中,利用人力资源(HR)视角的风险管理和正常事故理论(NAT)来探讨雇主大数据的复杂性,以说明这些复杂性的演变特征。本文以一系列针对教育,数据收集设计和风险管理的建议作为结尾,希望这些建议使雇主能够更好地预测和应对新兴的大数据挑战。

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