Increasingly digital workplaces enable advanced people analytics (PA) that can improve work, but also implicate privacy risks for employees. These systems often depend on employees sharing their data voluntarily. Thus, to leverage the potential benefits of PA, companies have to manage employees' disclosure decision. In literature, we identify two main strategies: increase awareness or apply appeal strategies. While increased awareness may lead to more conservative data handling, appeal strategies can promote data sharing. Yet, to our knowledge, no systematic overview of appeal strategies for PA exists. Thus, we develop an initial taxonomy of strategies based on a systematic literature review and interviews with 18 experts. We describe strategies in the dimensions of values, benefits, and incentives. Thereby, we present concrete options to increase the appeal of PA for employees.
翻译:越来越多的数字工作场所使先进的人分析能够改进工作,但也涉及雇员的隐私风险。这些系统往往取决于雇员自愿分享数据。因此,为了利用PA的潜在好处,公司必须管理雇员披露决定。在文献中,我们确定了两个主要战略:提高认识或适用上诉战略。虽然提高认识可以导致更保守的数据处理,但上诉战略可以促进数据分享。然而,据我们所知,没有系统概述PA的上诉战略。因此,我们根据系统文献审查和与18名专家的访谈,对战略进行初步分类。我们描述了价值、利益和奖励方面的战略。我们提出了提高PA对雇员吸引力的具体选择。