Date of Award
Summer 8-24-2024
Degree Type
Dissertation
Degree Name
Doctor of Philosophy (PhD)
Department
Psychology
First Advisor
Jane Halpert, PhD
Second Advisor
Shelly Rauvola, PhD
Third Advisor
Kimberly Quinn, PhD
Abstract
Remote work prevalence continues to remain higher than pre-pandemic levels and hybrid structures are increasingly becoming the norm. Therefore, it is important for researchers and organizations to understand how to optimize important employee outcomes, such as engagement and performance, in a remote work context. In this study, I addressed this need by investigating whether factors that have been found to enhance engagement and performance in traditional contexts—specifically, job design characteristics (task identity, task significance, autonomy, skill variety, and feedback) and microbreaks or small breaks during the workday—were positively linked with better remote work engagement and performance (task and contextual). The impact of these factors on well-being was examined as well. Based on an extensive review of literature on remote work, engagement, performance, the Job Characteristics Model, and microbreaks, eight hypotheses and a research question were developed and then tested using a sample of 456 employees. Although the hypotheses were only partially supported or unsupported, at a high level, findings suggest that task significance, feedback, and autonomy are all beneficial for remote work outcomes. Further, by analyzing open-ended responses, a list of strategies that employees can use to remain refreshed and productive when working remotely was identified. Implications of these findings for research and practice are discussed, along with limitations of the study.
Recommended Citation
Chackoria, Jessica, "Optimizing Remote Work Engagement and Performance" (2024). College of Science and Health Theses and Dissertations. 548.
https://via.library.depaul.edu/csh_etd/548
SLP Collection
no