Name: Lauren Moran

Ph.D. Dissertation Proposal Meeting

Day/Time: Friday, March 13th, 2026, 11:30AM

Location:  https://teams.microsoft.com/meet/29688926727103?p=y4M0jF3JQWgo0LZByu

Advisor: Dr. Christopher Wiese (Georgia Tech)

Dissertation Committee Members:

Dr. Bruce Walker - (Georgia Tech)

Dr. Mengyao Li - (Georgia Tech)

Dr. Scott Moffat - (Georgia Tech)

Dr. Cort Rudolph - (Wayne State University)

Title: How Generative AI Shapes Well-Being at Work: The Role of Job Crafting

Abstract: Organizations and individuals are increasingly adopting large language model chatbots (e.g., ChatGPT) for a variety of purposes (Chatterji et al., 2025; OpenAI, 2025; Tully et al., 2025). Thus far, LLM chatbots have been employed by workers to engage in many common tasks, such as drafting emails, brainstorming ideas, or automating routine tasks (Brachman et al., 2025). Despite the prevalence and promise of these technologies, we do not yet know whether their use predicts important individual outcomes beyond task performance such as well-being and extra-role performance. Additionally, questions remain as to when and why these relationships between LLM chatbot usage and critical worker outcomes may be present. Drawing from the literature on job crafting and the Job Demands-Resources model, I take a person-centric approach to examining these relationships within-persons. I empirically test the proposed model using a diary study of workers from multiple industries. I anticipate that findings will benefit individuals as they seek to navigate decisions surrounding their own chatbot usage at work, as well as organizations that seek to understand whether and how chatbot usage may impact their workforce.