Investigation of Learning by Proximity Using An Agent-based Model and Simulation
This thesis investigates individual and organizational learning, focusing on the impacts of knowledge acquisition and transfer due to cognitive, social, and organizational proximity. A literature review on individual, team, and organizational learning identified how knowledge is acquired and transfe...
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| Format: | Thesis |
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Massachusetts Institute of Technology
2022
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| Online Access: | https://hdl.handle.net/1721.1/140027 |
| _version_ | 1826196537324077056 |
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| author | Hernandez, Matthew John |
| author2 | Moser, Bryan R. |
| author_facet | Moser, Bryan R. Hernandez, Matthew John |
| author_sort | Hernandez, Matthew John |
| collection | MIT |
| description | This thesis investigates individual and organizational learning, focusing on the impacts of knowledge acquisition and transfer due to cognitive, social, and organizational proximity. A literature review on individual, team, and organizational learning identified how knowledge is acquired and transferred. Knowledge can be broken down into two main categories, explicit and tacit. Tacit knowledge is difficult to articulate and transmit but can frequently occur through collaboration. Simulation analyses using an agent-based model was utilized to explore collaboration as a mechanism for knowledge transfer. Large cognitive distances showed significant increases in collaboration times and a decrease in overall organizational performance. Agents with no prior experience will acquire more knowledge when placed on mixed skilled teams than similarly skilled teams but at the cost of more senior agents’ ability to complete their work demands. With more data readily available, organizations should be more intentional about talent management regarding the development of new skills to penetrate an organization. |
| first_indexed | 2024-09-23T10:28:54Z |
| format | Thesis |
| id | mit-1721.1/140027 |
| institution | Massachusetts Institute of Technology |
| last_indexed | 2024-09-23T10:28:54Z |
| publishDate | 2022 |
| publisher | Massachusetts Institute of Technology |
| record_format | dspace |
| spelling | mit-1721.1/1400272022-02-08T03:49:56Z Investigation of Learning by Proximity Using An Agent-based Model and Simulation Hernandez, Matthew John Moser, Bryan R. System Design and Management Program. This thesis investigates individual and organizational learning, focusing on the impacts of knowledge acquisition and transfer due to cognitive, social, and organizational proximity. A literature review on individual, team, and organizational learning identified how knowledge is acquired and transferred. Knowledge can be broken down into two main categories, explicit and tacit. Tacit knowledge is difficult to articulate and transmit but can frequently occur through collaboration. Simulation analyses using an agent-based model was utilized to explore collaboration as a mechanism for knowledge transfer. Large cognitive distances showed significant increases in collaboration times and a decrease in overall organizational performance. Agents with no prior experience will acquire more knowledge when placed on mixed skilled teams than similarly skilled teams but at the cost of more senior agents’ ability to complete their work demands. With more data readily available, organizations should be more intentional about talent management regarding the development of new skills to penetrate an organization. S.M. 2022-02-07T15:19:47Z 2022-02-07T15:19:47Z 2021-09 2021-10-21T19:54:49.834Z Thesis https://hdl.handle.net/1721.1/140027 In Copyright - Educational Use Permitted Copyright retained by author(s) https://rightsstatements.org/page/InC-EDU/1.0/ application/pdf Massachusetts Institute of Technology |
| spellingShingle | Hernandez, Matthew John Investigation of Learning by Proximity Using An Agent-based Model and Simulation |
| title | Investigation of Learning by Proximity Using An Agent-based Model and Simulation |
| title_full | Investigation of Learning by Proximity Using An Agent-based Model and Simulation |
| title_fullStr | Investigation of Learning by Proximity Using An Agent-based Model and Simulation |
| title_full_unstemmed | Investigation of Learning by Proximity Using An Agent-based Model and Simulation |
| title_short | Investigation of Learning by Proximity Using An Agent-based Model and Simulation |
| title_sort | investigation of learning by proximity using an agent based model and simulation |
| url | https://hdl.handle.net/1721.1/140027 |
| work_keys_str_mv | AT hernandezmatthewjohn investigationoflearningbyproximityusinganagentbasedmodelandsimulation |