Abstract
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.
Graduation Date
2023
Semester
Summer
Advisor
Joseph, Dana
Degree
Doctor of Philosophy (Ph.D.)
College
College of Business Administration
Degree Program
Business Administration; Management
Identifier
CFE0009898; DP0028431
URL
https://purls.library.ucf.edu/go/DP0028431
Language
English
Release Date
2-15-2024
Length of Campus-only Access
None
Access Status
Doctoral Dissertation (Open Access)
STARS Citation
Shukla, Jigyashu, "Emotion-Related Transactive Memory Systems: Theory and Nomological Network" (2023). Electronic Theses and Dissertations, 2020-2023. 1927.
https://stars.library.ucf.edu/etd2020/1927