• Journal of Korean society of Dental Hygiene
• /
• v.17 no.3
• /
• pp.449-463
• /
• 2017

Objectives: The objective of this study was to identify the relationship between emotional labor and occupational stress of the dental hygienists, and the effects of emotional labor on their occupational stress and health problems including depression, anxiety and sleep. Methods: The survey was conducted using the questionnaires about dental hygienists' working in medical institutions in Busan, Gyeongsangnam-do from August 19th and October 7th, 2016. Total of 225 participants were selected for data analyses. Frequency analysis, t-test, ANOVA, Pearson's correlation coefficient analysis, and regression analysis were conducted using SPSS Windows ver. 21.0 program(SPSS Inc., Chicago, IL. USA). Results: The analysis of the factors affecting emotional labor, occupational stress, anxiety, and sleep by participants' characteristics showed that those with higher education level, work position and annual salary had higher emotional labor. In addition, participants who worked 5 days every other week and were responsible for patient consultation had higher emotional labor. The analysis of correlations among emotional labor occupational stress, anxiety, and sleep showed positive correlations between emotional experience and emotional expression, occupational stress and emotional expression, and anxiety and emotional expression. On the other hand, negative correlation was found between anxiety and emotional experience. Regression analysis was conducted to examine the effect of emotional labor on job stress. Emotional labor was a factor affecting job stress and anxiety. Conclusions: In order to improve emotional control and vulnerability to stress among dental hygienists, intra-organizational training opportunities and mental health care strategies are needed. Additional broad-based studies are required to identify the factors affecting the occupational stress and emotional labor and to develop relevant intervention measures.

• Journal of Korea Society of Industrial Information Systems
• /
• v.26 no.6
• /
• pp.119-133
• /
• 2021

Research has been conducted in many fields to identify research trends using text mining, but in the field of emotional labor, no research has been conducted using text mining to identify research trends. This study uses text mining to deeply analyze 1,465 papers at the Korea Citation Index (KCI) from 2004 to 2019 containing the subject word 'emotional labor' to understand the trend of emotional labor researches. Topics were extracted by LDA analysis, and IDM analysis was performed to confirm the proportion and similarity of the topics. Through these methods, an integrated analysis of topics was conducted considering the usefulness of topics with high similarity. The research topics are divided into 11 categories in descending order: stress of emotional labor (12.2%), emotional labor and social support (12.0%), customer service workers' emotional labor (10.9%), emotional labor and resilience (10.2%), emotional labor strategy (9.2%), call center counselor's emotional labor (9.1%), results of emotional labor (9.0%), emotional labor and job exhaustion (7.9%), emotional intelligence (7.1%), preliminary care service workers' emotional labor (6.6%), emotional labor and organizational culture (5.9%). Through topic modeling and trend analysis, the research trend of emotional labor and the academic progress are analyzed to present the direction of emotional labor research, and it is expected that a practical strategy for emotional labor can be established.

• Korean journal of food and cookery science
• /
• v.30 no.1
• /
• pp.84-91
• /
• 2014

The purpose of this study was to identify the effects of emotional labor on emotional exhaustion among school dietitians according to the level of their self-efficacy. A survey was administered on 300 school dietitians during September 2012 and a total of 277 usable questionnaires were received. The data were analyzed by using the SPSS 18.0 package program. As a result of principal factor analysis for validity test, 26 variables were classified into one factor for self-efficacy, three factors for emotional labor and one factor for emotional exhaustion with a total variance percentage of 67.371%. Internal consistency was estimated by Cronbach's alpha, which yielded reliability coefficients of 0.922 (self-efficacy), 0.916 (emotional display), 0.806 (surface acting), 0.808 (deep acting) and 0.850 (emotional exhaustion). Subjects were segmented into 2 groups of 'high self-efficacy' (n = 159) and 'low self-efficacy' (n = 118) according to the cluster analysis for self-efficacy variables. The 'high self-efficacy' group exhibited higher education(p < 0.01) and served less lunch meals than other groups (p < 0.05). According to multiple regression analysis, the emotional display proved to be significantly and positively related to emotional exhaustion (${\beta}$=0.319, p<0.001) in high self-efficacy group. However both emotional display (${\beta}$=0.233, p<0.05) and surface acting (${\beta}$=0.262, p<0.01) were positively related to emotional exhaustion in the low self-efficacy group. These results suggest that school dietitians should be more aware of their self-efficacy to relieve the effects of the emotional labor on emotional exhaustion.

• Journal of Korean Academy of Nursing Administration
• /
• v.21 no.3
• /
• pp.263-276
• /
• 2015

Purpose: The study was done to verify the effect size of the variables related to the emotional labor of nurses. Methods: A total of 47 article on variables related to the emotional labor of nurses and published from 2006 to 2014 were used for the meta-analysis. Results: Variables with the largest effect size related to emotional labor were identified as the variables of work task, organization and individual characteristics in descending order of effect size. The sub-factors with the greatest effect size in the work task variable were exhaustion and work commitment, while for organization variables, intention to change jobs had the largest effect size. For individual characteristics, physical symptoms had the largest effect size. Conclusion: The results of this study are meaningful as the first study to integrate research results on variables related to the emotional labor of Korean nurses, providing practical data for the management of emotional labor.

• Korean Journal of Child Studies
• /
• v.23 no.3
• /
• pp.65-78
• /
• 2002

This study investigated causality in children's emotional intelligence and sociodemographic variables, including family structure, number of siblings, home environment and peer group variables. Subjects were 301 elementary and junior high 11-and 13-year-olds and their mothers. Instruments were questionnaires from the Children's Emotional Intelligence Scale. Data analysis was by Pearson's r, Cronbach's ${\alpha}$, multiple regression and path analysis. Results showed that the variables that affected emotional recognition directly were age, sex, mother's education, economic status of the home, number of siblings, and emotional support of peers. Variables that affected emotion regulation directly were sex, economic status of the home, emotional support of peers, and common activity. Variables that affected emotional facilitation of thinking directly were age, sex, emotional support of peers, and common activity.

• Journal of the Korea Society of Computer and Information
• /
• v.25 no.4
• /
• pp.133-140
• /
• 2020

Emotional analysis is an application of opinion mining that analyzes opinions and tendencies of people appearing in unstructured text. Recently, emotional analysis of social media has attracted attention, but social media contains newly-created words and slang, so it is not easy to analyze with existing emotional analysis. In this study, I design a new emotional analysis system to solve these problems. The proposed system is possible to analyze various emotions as well as positive and negative in social media including newly-created words and slang. First, I collect newly-created words and slang related to emotions that appear in social media. Then, expand the existing emotional model and use it to quantify the degree of sentiment in emotional words. Also, a new sentiment dictionary is constructed by reflecting the degree of sentiment. Finally, I design an emotional analysis system that applies an sentiment dictionary that includes newly-created words and an extended emotional model.

• The Research Journal of the Costume Culture
• /
• v.16 no.1
• /
• pp.33-47
• /
• 2008

The purposes of this study were to extract the effects of emotional labor, self-efficacy and burnout on customer-oriented selling behavior of salesperson by literature review and to examine the effect variables on customer-oriented selling behavior empirically. The questionnaire was administered to 400 salespersons who were selling clothes, cosmetics, shoes, leather products and accessories in department stores located in Kwang-ju city during August 18-24, 2006. Data collected from 307 salespersons were analyzed by using descriptive statistics, factor analysis, t-test, ANOVA, Duncan-test, correlation, regression analysis and path analysis. The results were as follows: First, Salesperson's emotional labor was composed of two factors; emotional labor toward the customer and emotional labor toward the organization. Second, Salesperson's emotional labor had negative significant influence on customer-oriented selling behavior. Specifically, the emotional labor toward the organization negatively influenced on customer-oriented selling behavior, but the emotional labor toward the customer positively influenced on customer-oriented selling behavior. Third, Salesperson's emotional labor positively influenced on burnout. Specifically, emotional labor toward organization significantly influenced on burnout, but emotional labor toward customer did not influenced on burnout. Fourth, Salesperson's self-efficacy positively influenced on customer-oriented selling behavior. Fifth. Salesperson's self-efficacy negatively influenced on burnout. Finally, Salesperson's burnout negatively influenced on comer-oriented selling behavior. The direct effect of salesperson's self-efficacy on customer-oriented selling behavior was large than the indirect effect of salesperson's self-efficacy mediate burnout. But the indirect effect of salesperson's emotional labor mediate burnout was large than the direct effect of salesperson's emotional labor on customer- oriented selling behavior.

• Journal of Korea Society of Digital Industry and Information Management
• /
• v.9 no.4
• /
• pp.189-199
• /
• 2013

The goal of this study was to contemplate the impact of emotional elements of motion graphics on the brand preference in websites of TV products. To attain the goal, the emotional elements of motion graphics in websites of TV products, i.e., color, graphic image, typography, and layout, were set as independent variables and the brand preference as a dependent variable. The variables were analyzed objectively. Samples were collected from selected design students attending technical colleges. Among 282 samples collected, 15 were discarded as unfeasible and the remaining 267 were used in the analysis. Statistical analysis techniques used in the study included factor analysis, reliability analysis, correlation analysis, and multiple regression analysis; and 'SPSS Win. 11.5' was used to perform the statistical analysis. From the analysis, the following two results were obtained. First, it appeared that emotional elements of motion graphics appeared in websites of TV products exerted statistically significant impacts on the brand preference. Second, the element exerting the most significant impact on the brand preference among the emotional elements were appeared as 'graphic image' and 'color'. Thus, it was concluded that it is necessary to give priority in 'graphic image' and 'color' to enhance the brand preference.

• IEMEK Journal of Embedded Systems and Applications
• /
• v.17 no.1
• /
• pp.51-58
• /
• 2022

Various studies have been conducted from the past to the present because stock price forecasts provide stability in the national economy and huge profits to investors. Recently, there have been many studies that suggest stock price prediction models using various input data such as macroeconomic indicators and emotional analysis. However, since each study was conducted individually, it is difficult to objectively compare each method, and studies on their impact on stock price prediction are still insufficient. In this paper, the effect of input data currently mainly used on the stock price is evaluated through the predicted value of the deep learning model and the error rate of the actual stock price. In addition, unlike most papers in emotional analysis, emotional analysis using the news body was conducted, and a method of supplementing the results of each emotional analysis is proposed through three emotional analysis models. Through experiments predicting Microsoft's revised closing price, the results of emotional analysis were found to be the most important factor in stock price prediction. Especially, when all of input data is used, error rate of ensembled sentiment analysis model is reduced by 58% compared to the baseline.

• Journal of the Korean Society of Food Culture
• /
• v.27 no.4
• /
• pp.354-366
• /
• 2012

The objective of this study was analyze the relationship among emotional intelligence, job attitude (job satisfaction, organizational commitment, turnover intention), and organizational performance in kitchen staff. A survey collected data from foodservice employees (N=611). Statistical analyses were completed using SPSS Win (17.0) for descriptive analysis, reliability analysis, factor analysis, t-test, correlation analysis, and AMOS (7.0) for confirmatory factor analysis and structural equation modeling. The main results of this study were as follows. The four EI (Emotional Intelligence) dimensions significantly correlated with age. The mean of the job satisfaction score was 3.24. The organizational commitment score was 3.54. The organizational commitment score was higher for 'loyalty' factor than for 'sense of belongs' factor. The mean of organizational performance score was 3.61. The four EI(Emotional Intelligence) factors were significantly correlated with job satisfaction (organizational commitment, organizational performance, and turnover intension). Structural equation modeling found that emotional intelligence had positive effects on job satisfaction, organizational commitment, and organizational performance, whereas job satisfaction and organizational performance had positive effects on organizational performance. Therefore, this study found that emotional intelligence had direct and indirect effects on organizational performance.