Transactive memory systems are emergent states in teams that represent the shared knowledge about skills and expertise of the team members which is encoded and stored in the collective memories and is retrieved when required. Traditionally, transactive memory systems literature has focused on encoding, storing, and retrieving only task-related information in teams. Unfortunately, this emphasis on the task-related aspect of transactive memory systems has ignored the potential for transactive memory systems involving emotional knowledge, skills, and expertise in the team. My dissertation explores the emotional side of transactive memory systems and introduces a novel construct: emotion-related transactive memory systems (ETMS). In this dissertation, I aim to expand the theory of transactive memory systems to include emotion and investigate the nomological network of ETMS. In Chapter 1, I expand traditional transactive memory systems theory by building a theory of ETMS. In this theory of ETMS, I explain how ETMS develops in teams, the boundary conditions of ETMS development, and outcomes of ETMS. In Chapter 2, I develop a scale to measure ETMS. Following best practices prescribed for scale development, I test the construct validity and reliability of my scale. Finally, in Chapter 3, I test the hypotheses rendered by the theoretical model in a two-wave survey-based study with 74 teams of employed students in US organizations. Implications and future directions are discussed.
| Identifer | oai:union.ndltd.org:ucf.edu/oai:stars.library.ucf.edu:etd2020-2926 |
| Date | 01 January 2023 |
| Creators | Shukla, Jigyashu |
| Publisher | STARS |
| Source Sets | University of Central Florida |
| Language | English |
| Detected Language | English |
| Type | text |
| Format | application/pdf |
| Source | Electronic Theses and Dissertations, 2020- |
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