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In distributed organizations, perceived status differences between workers are ubiquitous and harmful. Yet research suggests that once they are formed, status beliefs in organizations become entrenched in hierarchies and are hard to dismantle. In an inductive qualitative study, we observed how established status differences between remote and in-person workers in distributed organizations dissolved during the initial stages of the COVID-19 pandemic when everyone began working remotely. We use these data to theorize a novel status-equalizing process through which remote workers came to see themselves on an “equal playing field” with their in-person peers. We theorize how this status equalizing occurred through workers’ changing their “in-person default” use of technology—that is, their new behavior challenged embedded cultural practices that had treated the in-person workplace experience as the standard, normal, and valued perspective, implicitly guiding how employees used technology. Workers adopted new and more inclusive technology practices—including the use of asynchronous communication, greater codification of work, and virtual socializing—which resulted in remote workers perceiving new and more equal communication standards, access to information, and opportunity for social connection. As a result, these workers reported feeling less negatively stereotyped and treated more fairly in their virtual interactions with colleagues, fostering feelings of inclusion and deepening relationships across the previously established status divide. At a time when many organizations are grappling with the challenges of distributed, remote, and hybrid work, our research illuminates how inclusive technology practices can help nullify entrenched status imbalances.
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Signaling and meaning in organizational analytics: coping with Goodhart’s Law in an era of digitization and datafication
Abstract The future of work will be measured. The increasing and widespread adoption of analytics, the use of digital inputs and outputs to inform organizational decision making, makes the communication of data central to organizing. This article applies and extends signaling theory to provide a framework for the study of analytics as communication. We report three cases that offer examples of dubious, selective, and ambiguous signaling in the activities of workers seeking to shape the meaning of data within the practice of analytics. The analysis casts the future of work as a game of strategic moves between organizations, seeking to measure behaviors and quantify the performance of work, and workers, altering their behavioral signaling to meet situated goals. The framework developed offers a guide for future examinations of the asymmetric relationship between management and workers as organizations adopt metrics to monitor and evaluate work.
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- Award ID(s):
- 1750731
- PAR ID:
- 10427168
- Publisher / Repository:
- Oxford University Press
- Date Published:
- Journal Name:
- Journal of Computer-Mediated Communication
- Volume:
- 28
- Issue:
- 4
- ISSN:
- 1083-6101
- Format(s):
- Medium: X
- Sponsoring Org:
- National Science Foundation
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