论文标题
增加员工分享的意愿：为人分析引入上诉策略
Increasing Employees' Willingness to Share: Introducing Appeal Strategies for People Analytics
论文作者
论文摘要
越来越多的数字工作场所可以使高级人员分析（PA）可以改善工作，但也暗示了员工的隐私风险。这些系统通常取决于员工自愿共享数据。因此，为了利用PA的潜在利益，公司必须管理员工的披露决定。在文献中，我们确定了两种主要策略：提高意识或应用上诉策略。尽管提高的认识可能会导致更保守的数据处理，但上诉策略可以促进数据共享。然而，据我们所知，对PA的上诉策略没有系统的概述。因此，我们基于系统文献综述和对18位专家的访谈制定了策略的初步分类。我们描述了价值，利益和激励措施的策略。因此，我们提出了具体选择，以增加PA对员工的上诉。
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.
