Publication Type
Conference Paper
Version
submittedVersion
Publication Date
6-2018
Abstract
With technologies to capture fine-grained measures of behavior now more ubiquitous, organizational researchers are now able to consider networks of actions performed by multiple actors as a unit of analysis. We apply the action network construct as a measure of enacted complexity. Because previous conceptualizations of complexity viewed the construct as a descriptive organizational property, capturing this property over time was a non-issue. But given the emergent nature of enacted complexity, questions about how complexity unfolds over time become meaningful. This paper thus examines how enacted complexity unfolds over time by investigating the temporal trajectory of actors and actions. We present our findings from an analysis of 11,023 task sequences of four videogame development projects with qualitative data collected over two years.
Discipline
Strategic Management Policy | Technology and Innovation
Research Areas
Strategy and Organisation
Publication
AOM Big Data and and Managing in a Digital Economy Conference 2018, April 18-20
First Page
1
Last Page
8
Publisher
AOM
City or Country
Surrey, UK
Citation
GOH, Kenneth T. and PENTLAND, Brian T..
Temporal trajectories of enacted complexity in creative project teams. (2018). AOM Big Data and and Managing in a Digital Economy Conference 2018, April 18-20. 1-8.
Available at: https://ink.library.smu.edu.sg/lkcsb_research/6217
Copyright Owner and License
Authors
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.
Additional URL
https://aom.org/bigdata/