Great Lakes Analytics Conference :: Jeff Polzer скачать в хорошем качестве

Great Lakes Analytics Conference :: Jeff Polzer

Jeffrey Polzer UPS Foundation Professor of Resource Management | Harvard Business School People Analytics: When Meetings Multiply -- The Consequences of Collaboration Overload Collaboration is a key ingredient to organizational performance, yet employees in many companies struggle to achieve the right balance of collaborative activities. A common problem occurs when employees collaborate in frequent and time-consuming ways that interfere with productivity. To study this problem, we develop hypotheses about how meetings and email -- two common conduits of collaboration -- increase organizational performance up to a point, beyond which they have diminishing and then negative returns. We test these hypotheses with a novel dataset containing firm-level meta-data on meetings and email in 216,096 de-identified organizations. We find that meeting and email behavior each exhibit an inverted U-shaped relationship with firm revenue, providing the first evidence of this phenomenon across a large sample of organizations. The harmful effect of too many meeting hours on performance is amplified in firms that also have high levels of email activity. Meeting and email activity combine to influence multi-tasking, the phenomenon of sending emails during meetings, which, when overdone, is negatively associated with revenue. We discuss the theoretical and managerial implications of these results for the relationship between collaboration and performance. This presentation will situate this study within the emerging field of People Analytics, which refers to a data-driven approach to managing and developing employees. Companies are rapidly adopting this approach, which is also called Talent Analytics or HR Analytics, to complement their traditional practices for making hiring and promotion decisions, increasing employee engagement and retention, measuring team processes and performance, and related use cases. This trend is being fueled by the rise of digital work, through which many day-to-day employee activities generate vast amounts of data that can be used to understand patterns of employee productivity, engagement, collaboration, and turnover. In turn, the use of employee data raises a host of issues around employee privacy, organizational culture, and the future of work. Jeff Polzer is the UPS Foundation Professor of Human Resource Management in the Organizational Behavior Unit at Harvard Business School. He studies how people collaborate in teams and across organizational networks to accomplish their individual and collective goals. He has ongoing projects in collaboration with a number of organizations, often working with members of their people analytics groups on problems of mutual interest. He has taught a variety of courses in the MBA, Executive, and Doctoral Programs at HBS, and published his research in numerous top management and psychology journals. Professor Polzer currently teaches "Leading with People Analytics" as an elective MBA course and in the Harvard Business Analytics Program for executives. He has conducted executive training sessions for a variety of organizations including IBM, Novartis, AT&T, First Abu Dhabi Bank, and Mercy Corps. At HBS, he has received the Robert F. Greenhill Award for outstanding service, the Apgar Award for Innovation in Teaching, the Charles M. Williams award for his work with doctoral students, and the Wyss Award for Excellence in Doctoral Mentoring. A native of Wisconsin, Professor Polzer earned a B.S. in Finance and Economics from the University of Wisconsin-Stevens Point and an MBA from Texas Christian University. He received his Ph.D. in Organizational Behavior from the Kellogg Graduate School of Management at Northwestern University.