Before the COVID-19 pandemic started, wellbeing was a rising concern for employees and organizations alike. Since the pandemic the concern has shifted into overdrive. Where were we with the wellbeing topic pre-pandemic, where are we now, and where are we likely to be heading? What are the implications for wellbeing as people face the challenges and benefits of partial work-from-home and partial work-in-the-office? What can we do to ensure that self-reported wellbeing data is seriously acted upon?

Since the rise of “business analytics" there has been a lot of talk about "data-based culture". But this creates a schism between "data people" and "the rest" leading to unrealistic demands for data and expectations of data analysis. Perhaps the time has come to instead emphasise an evidence-based culture where organizational decision-making is informed by insights from social science research combined with pragmatic management experience. This session will explore how to begin to build an evidence-based culture, and transform away from a non-evidence-based culture.

The history of knowledge management systems is littered with attempts to capture information in online repositories which are infrequently used. And collaboration across space and org silos has always been a challenge. Recent adoption at work of social media-type platforms to solve both collaboration and knowledge management challenges has created a new way information can be exchanged and housed. Can these new internal platforms be better at promoting collaboration and knowledge management? Are there potential downsides in terms of team and interpersonal dynamics?

This session the group will discuss three key areas companies need to address in return-to-work and hybrid work plans to maintain and increase productivity: (a) developing the “weak ties” that facilitate collaboration, (b) online team formation, and (c) supporting new employees.

This session presents a new approach for designing both HR and People Analytics operating models which address current operating limitations.