Campus Location
Dallas Campus (Online)
Date of Award
3-2024
Document Type
Dissertation
Department
Organizational Leadership
Degree Name
Doctor of Education
Committee Chair or Primary Advisor
Kristin Koetting O'Byrne
Second Committee Member or Secondary Advisor
Heather Rasmussen
Third Committee Member or Committee Reader
Scott Strawn
Abstract
Software developers can suffer from negative emotions at work and low job satisfaction. Less is known about how positive emotions at work impact software developers. Gratitude is one positive emotion that has predicted job satisfaction in other studies. The purpose of this quantitative correlational study was to explore how gratitude at work predicts job satisfaction among software developers. The broaden-and-build theory of positive emotions and the find-remind-and-bind theory of gratitude guided the study. Participants included 146 software developers who were recruited via LinkedIn using purposive sampling. Participants completed an online survey, including the Gratitude Questionnaire-Six Item Form and the Appreciation in Relationships scale. The results of a multiple regression analysis revealed that a model of five independent variables of gratitude at work statistically significantly predicted job satisfaction. Dispositional gratitude at work was the only individual statistically significant predictor of job satisfaction. The results align with previous studies that show gratitude at work can boost the job satisfaction of software developers. Recommendations for future research and for practitioners are included.
Creative Commons License
This work is licensed under a Creative Commons Attribution-Noncommercial-No Derivative Works 4.0 License.
Recommended Citation
Tate, Jordan Gabriel, "Dispositional Gratitude at Work Predicts Job Satisfaction of Software Developers" (2024). Digital Commons @ ACU, Electronic Theses and Dissertations. Paper 781.
https://digitalcommons.acu.edu/etd/781