Examining work and organizations in the digital age

As societies develop and adopt new technologies, they fundamentally change how work is organized. Our research group explores the changing nature of work in light of technologies, such as crowdsourcing platforms, data analytics, robotics, and 3D printing, as well as recent changes in remote work.

Our method is field research, emphasizing direct observation of phenomena of interest, which can include ethnography, field experiments, inductive theory building case studies, archival data analysis, and more. Learn more about our research below.

 
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We focus on the following themes:


Remote work & distributed collaboration

We study how organizations are adapting to remote work.  This change touches almost every theory of management, but we lack information that is crucial for debating and addressing the challenges posed by a hybrid workforce.  We help fill this gap in our theoretical and applied knowledge.

Data analytics & algorithm-based decision making

We study how data and algorithms are changing the structure of organizations and the nature of expertise. Our aim is to create much-needed understanding around how these technologies are reconfiguring jobs, professional hierarchies, organizational structures, and careers.

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Flash teams & network-based organizations

We study the implications of crowdsourcing platforms (and other platforms) for organizations. Our goal is to develop new understanding of these phenomena that supports both technical innovation and also policies that govern business practices.


A few of our recent projects:


The move to remote and the emergence of hybrid workplaces

Over the past few months, many organizations have transitioned to remote work in order to comply with shelter-in-place mandates, and are contemplating what role remote work will play in their futures. We have several active field studies at the moment, where we have partnered with different organizations that are exploring their remote strategy based on their learnings of the past year. We hope to understand the advantages and disadvantages of remote work, and help organizations effectively employ a hybrid between remote and in-person work. For more check out this podcast where Pamela Hinds discusses communicating in a hybrid work environment.

 

How data and algorithms are changing the nature of work?

Workplaces are becoming increasingly run by data science. How does this affect organizational structure, and why does it matter? Our field studies in this project seek to understand how data and algorithms are changing the structuring of entire organizations, how artificial intelligence affects executive decisions and investments and the impact of their decisions, and how data scientists and their internal clients collaborate to shape the data practices and results. For more check out this podcast where Angele Christin discusses how algorithms are changing journalism.

 

Flash teams and the emergence of network-based models of organizing

Network-based organizations are companies that develop and curate a network or crowd of freelancers or “gig-workers” to complete knowledge-intensive tasks for clients in an on-demand fashion. Given the recency of network-based organizations’ emergence, relatively little research has examined individual workers’ experiences in them. Our goal with this project is to not only understand employee experiences and management challenges in this type of organization, also socio-technical change like the increasing use of data and data analytics to analyze information, make decisions and evaluate employees. To learn more check out this video where Melissa Valentine explains how flash teams work.

 

What drives our research

Helping society navigate the changing nature of work

As society moves away from its industrial roots, we seem to know less and less about the work that people do. We lack information that is crucial for debating and addressing the challenges posed by a post-industrial economy. The WTO aims to fill this knowledge gap to help organizations, policy-makers, and society navigate critical social, technological, and workforce challenges.

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