Occupation Modularity and the Work Ecosystem

Zhang, Shiyan and Nickerson, Jeffrey V. (2021) Occupation Modularity and the Work Ecosystem. In: 42nd International Conference on Information Systems, ICIS 2021 TREOs : "Building Sustainability and Resilience with IS: A Call for Action". Association for Information Systems, USA. ISBN 9781713893608

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Abstract

Occupations, like many other social systems, are hierarchical. They evolve with other elements within the work ecosystem including technology and skills. This paper investigates the relationships among these elements using an approach that combines network theory and modular systems theory. A new method of using work related data to build occupation networks and theorize occupation evolution is proposed. Using this technique, structural properties of occupations are discovered by way of community detection on a knowledge network built from labor statistics, based on more than 900 occupations and 18,000 tasks. The occupation networks are compared across the work ecosystem as well as over time to understand the interdependencies between task components and the coevolution of occupation, tasks, technology, and skills. In addition, a set of conjectures are articulated based on the observations made from occupation structure comparison and change over time.

Item Type:
Contribution in Book/Report/Proceedings
Additional Information:
Publisher Copyright: © 2021 42nd International Conference on Information Systems, ICIS 2021 TREOs: "Building Sustainability and Resilience with IS: A Call for Action". All Rights Reserved.
Uncontrolled Keywords:
/dk/atira/pure/subjectarea/asjc/1700/1706
Subjects:
?? community detectionevolutionfuture of workmodularitynetworkoccupationwork ecosystemcomputer science applicationsinformation systems ??
ID Code:
224680
Deposited By:
Deposited On:
11 Feb 2025 14:55
Refereed?:
Yes
Published?:
Published
Last Modified:
11 Feb 2025 14:55