Emotional Labor and Burnout Among Academic Librarians

Emotional labor predicts a statistically significant and large portion of variance in burnout among academic librarians in the US.
Author

Matthew Weirick Johnson

Published

March 5, 2023

Abstract

Introduction

Literature Review

Methods

Results

Parameter Organizational Support Negative Affect Positive Affect Client-Related Work-related Personal Faking Hiding Deep Acting Variation Intensity Frequency
Duration -0.01 0.05 -0.08 0.05 0.03 0.02 0.04 0.05 -0.04 -0.06 -0.06 0
Frequency -0.17 0.13 0.02 0.13 0.23 0.23 0.40 0.23 0.39 0.37 0.23
Intensity -0.06 0.21 0.05 0.11 0.23 0.22 0.13 0.01 0.26 0.43
Variation -0.09 0.15 0.11 0.11 0.15 0.18 0.15 0.08 0.32
Deep Acting -0.03 0.07 0.00 0.05 0.10 0.14 0.23 0.12
Hiding -0.55 0.43 -0.42 0.40 0.57 0.50 0.63
Faking -0.41 0.37 -0.33 0.38 0.51 0.44
Personal -0.52 0.61 -0.48 0.48 0.88
Work-related -0.57 0.58 -0.53 0.53
Client-Related -0.27 0.39 -0.44
Positive Affect 0.40 -0.30
Negative Affect -0.39
`geom_smooth()` using formula = 'y ~ x'
`geom_smooth()` using formula = 'y ~ x'
`geom_smooth()` using formula = 'y ~ x'
`geom_smooth()` using formula = 'y ~ x'
`geom_smooth()` using formula = 'y ~ x'
`geom_smooth()` using formula = 'y ~ x'
Figure 1: Dot and Linear Regression Graphs Depicting Total Personal Burnout Score Predicted by Scores on Factors of Emotional Labor