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商品編號: IMB851 出版日期: 2021/01/28 作者姓名: Dutta, Debolina 商品類別: Other 商品規格: 19p 再版日期: 地域: India 產業: 個案年度: -
商品敘述:
inFeedo leveraged its understanding of artificial intelligence (AI), NLP, and machine learning (ML) techniques to develop a chatbot named Amber. With CEO sponsorship within client organizations, Amber engaged with employees at pre-defined periods as a "virtual assistant of the CEO." The aggregated chat sentiment provided employee engagement analytics to the leadership team. The platform predicted disengaged employees and identified the attrition risk. Besides, compared to the annual engagement surveys, the broad-based sentiment analysis was more effective in reporting employee engagement. Employee engagement measurement involves massive spending by organizations. However, these engagement surveys are costly, face delays in translating information to action, and lack actionable insights for the practitioners. The case touches upon issues such as the use of "Amber" as a replacement for the conventional practices within HR, the changing role of HR, the efficacy of the use of AI in transactional HR work, ethics of using AI, and challenges of instituting a culture change within the HR divisions. Can leveraging AI help the function break out of its "administrative" image and emerge as a strategic contributor to the organization''s direction-setting exercises? Additionally, the ethics around the use of AI-based chatbots and the resulting data analytics present challenges to both the users and the advocates of this new system.
涵蓋領域:
Employee engagement;Predictive analytics
相關資料:
Case Teaching Note, (IMB852), 13p, by Debolina Dutta
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