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Massachusetts Institute of Technology

Pioneering genomics innovation : using dynamic work design to implement a system of organizational boundary objects

Abstract

dc:description.abstract

In the past decade, the cost associated with processing the human genome has decreased at a rate that is outpacing Moore's Law. The first human genome was sequenced in 2001, the culmination of a ten-year effort at a program cost of $2.7 billion. This has increased the accessibility of genomics research and enabled rapid development of adjacent biotechnologies and new genetic treatments. The Broad Institute, responsible for analyzing the first human genome, has remained at the center of this rapidly growing industry. Broad Genomics, a 200+ person division of the Broad Institute, is focused on the high-quality delivery of genomic data and data science. Over the past five years, Broad Genomics has been the largest producer of human genomic information in the world. Processing more than 1.5 million samples from over 50 countries. While conducting research for this thesis, Broad Genomics sequenced its 100,000th human genome. Shortly after the division's inception in 2012, Broad Genomics implemented the Dynamic Work Design and Visual Management method developed by Nelson Repenning, the MIT Sloan School of Management Distinguished Professor of System Dynamics and Organization Studies and Associate Dean of Leadership. This method offers a new approach to designing work that is both effective and engaging, while ensuring daily operational work is directly linked to the high-level strategic goals of the Broad Genomics organization. Positive operational results of this intervention for whole genome and exome sequencing were published in a case study in 2017. In the interim, continued iteration on this implementation has resulted in an integrated system of three primary levels of Visual Management boards within the organization. The goal of this research was to assess the continued alignment with the principles of Dynamic Work Design and to assess their effectiveness through an integrated system of boundary objects architected through multiple functional levels of the Broad Genomics organization. Additionally, the research evaluates the harmonization of Dynamic Work Design with principles and frameworks of knowledge boundaries and boundary objects as well as recent team dynamics and people analytics research.

Degree

thesis:*
Department dc:contributor.department
Massachusetts Institute of Technology. Engineering and Management Program
Grantor dc:publisher
Massachusetts Institute of Technology
Year dc:date.issued
2018

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Linville-Engler, Benjamin
Advisor dc:contributor.advisor
  • Nelson Repenning.

Subjects

dc:subject × 2

Rights

dc:rights
Statement dc:rights
  • MIT theses are protected by copyright. They may be viewed, downloaded, or printed from this source but further reproduction or distribution in any format is prohibited without written permission.
Language dc:language.iso
eng

Identifiers

dc:identifier.*
Handle dc:identifier.uri
http://hdl.handle.net/1721.1/118540
OAI identifier oai:identifier
oai:dspace.mit.edu:1721.1/118540

Chain of custody

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

Linville-Engler, Benjamin. Pioneering genomics innovation : using dynamic work design to implement a system of organizational boundary objects. Massachusetts Institute of Technology, 2018. http://hdl.handle.net/1721.1/118540