Abstract At no other time have organizations had so much opportunity to measure and evaluate the effectiveness and efficiency of their workforce. While not all companies have yet to embrace the tools and technology available to them, leading companies have been able to capitalize on new technologies that track productivity, sales, customer satisfaction, work flows, quality, and workplace interactions on a frequent, sometimes real time basis. Additionally, the tools to synthesize and analyze this data has also rapidly advanced in the last few years with the more mainstream availability of statistical modeling, machine learning technology, and artificial intelligence applications. Yet, when it comes to measuring and tracking employee engagement, most companies still evaluate engagement on an annual, or longer, basis using traditional survey techniques. While these practices have provided a wealth of insight into the dimensions and impact of engagement, it is time to rethink how we are measuring engagement and, more importantly, how the same digital tools can be applied towards improving the productivity, retention, and satisfaction of the workforce. We propose a series of research topics to address this modern trend of the impact of technological advances on both the measurement of engagement and the application of human resource management (HRM) practices to improve engagement.

中文翻译：

---

员工敬业度的未来：用于员工敬业度的实时监控和数字工具

摘要组织在任何时候都没有太多的机会来衡量和评估其员工的有效性和效率。尽管并非所有公司都尚未接受可用的工具和技术，但领先的公司已经能够利用新技术来跟踪生产力，销售，客户满意度，工作流程，质量以及工作场所之间的频繁，实时互动基础。此外，随着统计建模，机器学习技术和人工智能应用的主流应用，合成和分析此数据的工具在最近几年也得到了快速发展。但是，在衡量和跟踪员工敬业度时，大多数公司仍会每年或更长时间评估员工敬业度，使用传统调查技术的基础。尽管这些做法为参与度的规模和影响提供了丰富的见识，但现在该是重新思考我们如何衡量参与度的时候了，更重要的是，应该考虑如何使用相同的数字工具来提高生产力，保留率和满意度。劳动力。我们提出了一系列研究主题，以应对技术进步对敬业度的衡量和应用人力资源管理（HRM）实践以提高敬业度的这种现代趋势。和员工满意度。我们提出了一系列研究主题，以应对技术进步对敬业度的衡量和应用人力资源管理（HRM）实践以提高敬业度的这种现代趋势。和员工满意度。我们提出了一系列研究主题，以应对技术进步对敬业度的衡量和应用人力资源管理（HRM）实践以提高敬业度的这种现代趋势。