The workload is one of the dominant stressful factors among the nursing occupation that results in negative consequences at the individual, team, and organizational levels. On the other hand, creativity and innovation can help nurses and organizations to provide better patient care and maintain a competitive edge in a fast dynamic environment. However, this becomes challenging when nurses are exposed to a frequent increase in workload. Within this study, I first examine the form of the relationships between 1) workload (stressor) and creativity (outcome 1); and 2) workload and innovation (outcome 2) to comprehend the optimal conditions to achieve positive results. Second, I utilize positive reappraisal theory to observe the moderating effects of trait mindfulness between the two stressor-outcome relationships. Lastly, I introduce the bandwidth-fidelity principle to understand the breadth and depth of mindfulness and innovation scales. The study used archival data from 100 registered and licensed practical nurses under the state of the Florida Board of Nursing Registry collected as part of a larger intervention project. The curvilinear regression moderated regression, and multiple regression with bivariate correlation analyses were conducted for their respective hypotheses. Results remained inconclusive for the formation of stressor-outcome relationships. Trait mindfulness was positively related to creativity and innovation but was not a significant moderator. Additionally, results indicated different predictive strength for matched and mismatched relations, but the differences were not significant. The present work is intended to bring awareness to the non-linear relationship of workload-creativity and innovation, comprehend the benefits and potential of mindfulness, and extend the use of the bandwidth-fidelity principle in the field of Occupational Health Psychology. Limitations and implications of this study are discussed.
| Identifer | oai:union.ndltd.org:ucf.edu/oai:stars.library.ucf.edu:etd2020-1339 |
| Date | 01 January 2020 |
| Creators | Chheda, Kinjal |
| 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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