The Profiles and Antecedents of Supervisor-Directed Emotional Labor Strategies: The Role of Self-Identity and LMX Orientations in Emotional Labor Strategy
Abstract
:1. Introduction
2. Theory and Hypotheses
2.1. Supervisor-Directed Emotional Labor
2.2. Self-Identity Level as a Predictor of Supervisor-Directed Emotional Labor Profiles
2.3. The Moderating Role of Lmx Orientations
3. Method
3.1. Participants and Procedure
3.2. Measures
3.3. Analytic Approach
4. Results and Discussion
5. General Discussion
6. Theoretical Implications
7. Practical Implications
8. Limitations and Future Directions
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Conflicts of Interest
References
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Mean | SD | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | |
---|---|---|---|---|---|---|---|---|---|---|---|
1. Subordinate Gender | 1.51 | 0.50 | − | ||||||||
2. Subordinate Age | 30.03 | 6.71 | 0.183 ** | − | |||||||
3. Working Tenure with current Supervisor | 3.94 | 2.90 | 0.144 * | 0.691 ** | − | ||||||
4. Relational Identity | 4.36 | 0.57 | 0.11 | 0.10 | 0.05 | − | |||||
5. Individual Identity | 3.70 | 0.73 | −0.01 | −0.145 * | −0.13 | 0.12 | − | ||||
6. SLMX | 3.60 | 0.81 | −0.05 | 0.00 | 0.01 | 0.334 ** | 0.323 ** | − | |||
7. ELMX | 2.87 | 1.09 | −0.10 | −0.167 * | −0.174 ** | −0.142 * | 0.320 ** | −0.02 | − | ||
8. Surface Emotional Labor | 2.68 | 1.10 | −0.11 | −0.213 ** | −0.254 ** | −0.149 * | 0.259 ** | −0.01 | 0.677 ** | − | |
9. Deep Emotional Labor | 3.58 | 0.92 | −0.10 | −0.03 | −0.07 | 0.319 ** | 0.357 ** | 0.454 ** | 0.377 ** | 0.506 ** | − |
Model | Log Liklihood | AIC | BIC | SABIC | Entropy | Smallest Class % | LMR p-Value | LMR Meaning | BLRT p-Value |
---|---|---|---|---|---|---|---|---|---|
1 | −3956.376 | 7956.751 | 8032.579 | 7962.851 | − | − | − | − | − |
2 | −3277.300 | 6622.599 | 6739.788 | 6632.026 | 0.968 | 0.423 | <0.001 | 2 > 1 | <0.001 |
3 | −3053.487 | 6198.973 | 6357.523 | 6211.728 | 0.947 | 0.211 | 0.0062 | 3 > 2 | <0.001 |
4 | −2947.982 | 6011.964 | 6211.875 | 6028.045 | 0.946 | 0.207 | 0.0036 | 4 > 3 | <0.001 |
5 | −2873.751 | 5887.503 | 6128.774 | 5906.911 | 0.938 | 0.125 | 0.0881 | 5 <4 | <0.001 |
% of Sample | Surface Acting | Deep Acting | |
---|---|---|---|
Deep Actor | 21.55% | 1.64 | 3.92 |
Non-Actor | 23.28% | 1.68 | 2.25 |
Regulator | 34.48% | 4.01 | 4.15 |
Moderator | 20.69% | 2.73 | 3.74 |
Profile Comparisions | ||||||||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Antecedents | Non-Actor v. Moderator | Non-Actor v. Deep Actor | Non-Actor v. Regulator | Moderator v. Deep Actor | Moderator v. Regulator | Deep Actor v. Regulator | ||||||||||||
Coef. | SE | OR | Coef. | SE | OR | Coef. | SE | OR | Coef. | SE | OR | Coef. | SE | OR | Coef. | SE | OR | |
Individual Identity | −0.34 | 0.26 | 0.71 | −1.17 *** | 0.33 | 0.31 | −1.79 *** | 0.39 | 0.12 | −0.82 ** | 0.27 | 0.44 | −1.45 *** | 0.35 | 0.23 | −0.63 | 0.34 | 0.53 |
Relational Identity | −0.06 | 0.33 | 0.94 | −2.00 *** | 0.54 | 0.14 | 0.10 | 0.33 | 1.11 | −1.94 *** | 0.56 | 0.14 | 0.16 | 0.32 | 1.18 | 2.10 *** | 0.53 | 8.17 |
Profile Comparisions | |||||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Antecedents | Non-Actor v. Deep Actor | Moderator v. Deep Actor | Deep Actor v. Regulator | Non-Actor v. Regulator | Moderator v. Regulator | ||||||||||
Coef. | SE | OR | Coef. | SE | OR | Coef. | SE | OR | Coef. | SE | OR | Coef. | SE | OR | |
Individual Identity | −1.17 *** | 0.33 | 0.31 | −0.82 ** | 0.27 | 0.44 | −0.63 | 0.34 | 0.53 | −1.79 *** | 0.39 | 0.12 | −1.45 *** | 0.35 | 0.23 |
Relational Identity | −2.00 *** | 0.54 | 0.14 | −1.94 *** | 0.56 | 0.14 | 2.10 *** | 0.53 | 8.17 | 0.10 | 0.33 | 1.11 | 0.16 | 0.32 | 1.18 |
II × SLMX | − | − | − | − | − | − | − | − | − | − | − | − | − | − | − |
RI × SLMX | −0.88 ** | 0.30 | 0.41 | −0.96 ** | 0.29 | 0.38 | 0.73 ** | 0.27 | 0.48 | −0.15 | 0.21 | 0.86 | −0.23 | 0.22 | 0.80 |
II × ELMX | 0.55 * | 0.26 | 1.74 | −0.22 | 0.30 | 0.80 | −0.67 ** | 0.24 | 1.96 | −0.12 | 0.20 | 0.89 | −0.89 ** | 0.27 | 0.41 |
RI × ELMX | 0.92 ** | 0.32 | 2.51 | 0.37 | 0.33 | 1.45 | −0.58 | 0.31 | 1.79 | 0.34 | 0.21 | 1.41 | −0.21 | 0.27 | 0.81 |
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Wang, R.; Kim, S.-J.; Kwon, I. The Profiles and Antecedents of Supervisor-Directed Emotional Labor Strategies: The Role of Self-Identity and LMX Orientations in Emotional Labor Strategy. Behav. Sci. 2023, 13, 865. https://doi.org/10.3390/bs13100865
Wang R, Kim S-J, Kwon I. The Profiles and Antecedents of Supervisor-Directed Emotional Labor Strategies: The Role of Self-Identity and LMX Orientations in Emotional Labor Strategy. Behavioral Sciences. 2023; 13(10):865. https://doi.org/10.3390/bs13100865
Chicago/Turabian StyleWang, Ranran, Sang-Joon Kim, and Insu Kwon. 2023. "The Profiles and Antecedents of Supervisor-Directed Emotional Labor Strategies: The Role of Self-Identity and LMX Orientations in Emotional Labor Strategy" Behavioral Sciences 13, no. 10: 865. https://doi.org/10.3390/bs13100865
APA StyleWang, R., Kim, S. -J., & Kwon, I. (2023). The Profiles and Antecedents of Supervisor-Directed Emotional Labor Strategies: The Role of Self-Identity and LMX Orientations in Emotional Labor Strategy. Behavioral Sciences, 13(10), 865. https://doi.org/10.3390/bs13100865