Organizations are transforming as they adopt new technologies and use new sources of data, changing the experiences of employees and pushing organizational researchers to respond. As employees perform their daily activities, they generate vast digital data. These data, when combined with established methods and new analytic techniques, create unprecedented opportunities for studying human behavior at work and have fueled the rise of people analytics as a new institutional field of practice. In this chapter, I describe the emerging field of people analytics and new organizational phenomena that accompany the use of data and algorithms. These practices are affecting how individuals, groups, and organizations function, ranging from decision-making processes and work procedures, to communication and collaboration, to attempts to monitor and control employees. In each of these domains, I describe recent research and propose new research directions. Many of these domains intersect with the emerging field of Computational Social Science, in which disciplinary scholars are applying computational methods to an expanding array of digitized data, pursuing interests that extend far into the organizational domain. Organizational scholars are well-positioned to bridge organizational and disciplinary advances to stay at the forefront of research on the future of work.

组织正在转型，因为他们采用新技术和使用新的数据源，改变员工的体验并推动组织研究人员做出回应。在员工执行日常活动时，他们会生成大量数字数据。这些数据与既定方法和新的分析技术相结合，为研究工作中的人类行为创造了前所未有的机会，并推动了人员分析作为一个新的制度实践领域的兴起。在本章中，我将描述新兴的人员分析领域以及伴随数据和算法使用而来的新组织现象。这些实践正在影响个人、团体和组织的运作方式，从决策过程和工作程序到沟通和协作，试图监视和控制员工。在这些领域中的每一个领域，我都描述了最近的研究并提出了新的研究方向。其中许多领域与新兴的计算社会科学领域交叉，在该领域，学科学者正在将计算方法应用于不断扩展的数字化数据阵列，追求远延伸到组织领域的兴趣。组织学者处于有利地位，可以弥合组织和学科的进步，从而站在未来工作研究的前沿。追求远延伸到组织领域的利益。组织学者处于有利地位，可以弥合组织和学科的进步，从而站在未来工作研究的前沿。追求远延伸到组织领域的利益。组织学者处于有利地位，可以弥合组织和学科的进步，从而站在未来工作研究的前沿。