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Massachusetts Institute of Technology

Regenerative Coordination: Keeping a Live Algorithmic Service Growing by Perpetuating Disruptions

Abstract

dc:description.abstract

Many organizations today, in their move to online platforms, seek to provide a ‘live’ service—a digital service capable of updating automatically, offering users continual improvements in content and functionality. I examined the work required to keep such a service going, and found developers struggling to coordinate their work in the face of heterogeneous, concurrent, and indefinite updates. My 15-month field study of an agricultural technology company explores how its members, along with its algorithms, were able to sustain a live imagery-analytics service, despite frequent, unexpected, and disruptive updates. Existing literature shows that sense-making and provisional settlements can be critical for coordinating distributed and dynamic work, but takes a perspective which centers on human actors. Taking a broader perspective, I suggest that the algorithms working in a live service may do neither. I found that algorithms frequently updated operations with changes unanticipated by members, and in so doing, disrupted operations that members had previously settled and, until then, considered usable. Members responded to these updates with further updates required to regenerate the service, but with each update new disruptions emerged. Drawing on these findings, I develop the notion of regenerative coordination that identifies the specific coordination practices that regenerate a live service through updates, thus keeping the service viable and valuable to users. Doing so however, perpetuates disruptions. This paradoxical outcome is the inadvertent result of a process that keeps a service live and growing. I end with contributions to coordination research.

Degree

thesis:*
Name thesis:degree_name
Master
Department dc:contributor.department
Sloan School of Management
Grantor dc:publisher
Massachusetts Institute of Technology
Year dc:date.issued
2021

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Zhang, Alan
Advisor dc:contributor.advisor
  • Orlikowski, Wanda

Rights

dc:rights
Statement dc:rights
  • In Copyright - Educational Use Permitted
  • Copyright MIT

Identifiers

dc:identifier.*
Handle dc:identifier.uri
https://hdl.handle.net/1721.1/139954
OAI identifier oai:identifier
oai:dspace.mit.edu:1721.1/139954

Chain of custody

source
Harvested from
MIT
Base URL
dspace.mit.edu/oai/request
Last updated
2026-07-22
Source record
OAI-PMH GetRecord
related terms
citation

Zhang, Alan. Regenerative Coordination: Keeping a Live Algorithmic Service Growing by Perpetuating Disruptions. Massachusetts Institute of Technology, 2021. https://hdl.handle.net/1721.1/139954