• Korean Journal of Occupational Health Nursing
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• v.21 no.2
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• pp.154-163
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• 2012

Purpose: The purpose of study was to identify the relationships among attitude on job rotation, job stress and organizational commitment of hospital nurses. Methods: The data were collected from the self-reported questionnaire responses of 430 nurses from Sep. 1 to Sep. 30, 2010 at a university hospital in D city and analyzed by descriptive statistics, t-test, ANOVA, Scheff$\acute{e}$ test and Pearson correlation coefficients. Results: Nurses who experienced job rotation showed negative attitude on job rotation (t=-4.84, p<.001), high level of job stress (t=3.81, p<.001) and low level of organizational commitment (t=-1.99, p= .047). There was a significantly negative correlation between nurses' attitude on job rotation and job stress (r=-.13, p<.01). Also, there was a significantly positive correlation between nurses' attitude on job rotation and organizational commitment (r=.32, p<.001). Conclusion: These results suggest that job rotation in nurses needs to be planned based on the individual attitude, opinion, specialty and capability in nurse for reducing their job stress and enhancing organizational commitment of hospital nurses.

• Journal of Korean Clinical Nursing Research
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• v.22 no.3
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• pp.352-358
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• 2016

Purpose: This study was a methodological research implemented to establish basic data for controlling the job rotation stress of nurses and effectively managing human resources by reflecting the Nurse Job Rotation Stress Scale (NJRS) developed by Huang and others into the domestic nursing environment and verifying the use of measurement tools. Methods: The study selected nurses working at four hospitals, with over 300 beds, in Seoul, Gyeongi-do, and Busan, as its research subjects and verified the content validity, construct validity, concurrent validity, and internal consistency reliability of the measurement tool. Results: The results ultimately formed eight questions from three sub-factors (3 emotional response questions, 2 daily life questions, and 3 communication questions). In terms of reliability, emotional response issued a Cronbach's of .78, daily life issued a Cronbach's of .75, and communication issued a Cronbach's of .86. Conclusion: This study is expected to be used as basic data for achieving effective human resource management by calculating the stress of clinical nurses resulting from job rotation, but the researcher believes that the measurement tools must be expanded by confirming additional job rotation stress questions which reflect the organizational culture of Korea.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.18 no.10
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• pp.373-381
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• 2017

This study was conducted to establish and verify a theoretical model that explains the factors and pathways influencing the psychological well-being of nurses. The subjects of this study were nurses working in four general hospitals with over 200 beds in B city and G province. The results of verifying the path coefficient of the nurses' job rotation stress showed that job rotation stress had a significant effect on challenge stress, hindrance stress, and nurses' psychological well-being, while hindrance stress had a negative effect on nurses' psychological well-being. Nurses' job rotation stress had direct effects on challenge stress, hindrance stress, and psychological well-being. Hindrance stress had a direct effect on psychological well-being. In addition, nurses' job rotation stress had an indirect effect on psychological well-being through hindrance stress. Nurses who experienced job rotation showed challenge and hindrance stress. Since hindrance stress interferes with the psychological well-being of nurses, it is necessary to manage stress and make efforts in the nursing organization. Therefore, nursing organizations should establish a positive organizational environment and develop systematic strategies so that job rotation can be a challenging stress factor for nurses.

• Journal of Korean Academy of Nursing
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• v.47 no.4
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• pp.551-561
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• 2017

Purpose: This study aimed to present and test a structural model for describing and predicting the factors affecting subjective career satisfaction of nurses experiencing rotation and to develop human resources management strategies for promoting their career satisfaction related to rotation. Methods: In this cross-sectional study, we recruited 233 nurses by convenience sampling who had over 1 year of career experience and who had experienced rotation at least once at G university hospital. Data were collected from August to September in 2016 using self-reported questionnaires. The exogenous variables consisted of rotation perception and rotation stress. Endogenous variables consisted of career growth opportunity, work engagement, and subjective career satisfaction. A hypothetical model was tested by asymptotically distribution-free estimates, and model goodness of fit was examined using absolute fit, incremental fit measures. Results: The final model was approved and had suitable fit. We found that subjective career satisfaction was directly affected by rotation stress (${\beta}=.20$, p=.019) and work engagement (${\beta}=.58$, p<.001), indirectly affected by rotation perception (${\beta}=.43$, p<.001) through career growth opportunity and work engagement. However, there was no total effect of rotation stress on subjective career satisfaction (${\beta}=-.09$, p=.270). Career growth opportunity directly and indirectly affected subjective career satisfaction (${\beta}=.29$, p<.001; ${\beta}=.28$, p<.001). These variables accounted for 65% of subjective career satisfaction. Conclusion: The results of this study suggest that it is necessary to establish systematic and planned criteria for rotation so that nurses can grow and develop through sustained work and become satisfied with their career.

• Journal of the Korean Society for Library and Information Science
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• v.47 no.3
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• pp.181-205
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• 2013

The purpose of this study is to develop a job-stress scale for librarians who work in university libraries. The study was first conducted by analyzing existing representative job-stress scales that are used domestically and internationally. To understand the characteristic of particular job stress that academic librarians have, the in-depth interview among qualitative research methods was selected, and 15 librarians who work at a 4-year system university libraries participated in this study. Based on the results of the questionnaire survey, the reliability and validity were verified. To analyze the validity, exploratory factor analysis was carried out. To extract factors, principal component analysis was used. To extract factors, principal component analysis was used. For the rotation method, a varimax rotation was applied. A tertiary measurement tool with a total of 46 questions for 11 factors was developed after removing measurement questions that were rejected as a result of the analysis. As a result of factor analysis on the tertiary measurement tool, 11 factors were extracted. Those 11 factors include 'peer relation conflict factor(factor 1)', 'superior-subordinate relation conflict factor (factor 2)', 'work compensation evaluation factor(factor 3)', 'emotional labor factor(factor 4)', 'physical environmental factor(factor 5)', 'employment stability(factor 6)', 'job demand factor(psychological) (factor 7)', 'decision-making and responsibility factor(factor 8)', 'work complexity factor(factor 9)', 'work boundary conflict factor(factor 10)', and 'job demand factor(physical)(factor 11)'.

• The Journal of Korean Physical Therapy
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• v.3 no.1
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• pp.123-149
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• 1991

This study has been attempted to be helpful for the back rehabilization of Korean workers by analyzing the general, occupational, social aspects of low back pain and to identify possible risk factors for back pain in White and Blue collar workers. The primary data were collected from 380 workers in Seoul city by means of a Questionnaire with random which was distributed from March 10 to 31, 1990. For the test of statistical significance, chi-square analysis was used to compare the back pain characteristics between above two groups. The results were as follows : 1. The incidence of low back pain in all walkers studied was $79.7\%$. The incidence of Blue collar with low back pain $(87.2\%)$ was higher than that of White collars $(75.0\%)$. 2. With regard to the relationship of back pain to the occupational characteristics, statistically significant differences were observed between workers with and without back pain concerning the job factors on work-time, job satisfaction, mental stress, chair fittness, work posture, work rotation, weight lifting, monotonous repetitive movements, vibration, and heavy noise (p<0.05). 3. With regard to the relationship of back pain to the social characteristics, there were no differences with respect to having car, personality types, drinking habits, and leisure-time activities. However, significant differences were showed between no pain and pain groups for the using bed, sleeping posture, traffic time amount, walking health state, smoking habits, and physical exercise (p<0.05). 4. The comparative analysis of back pain related to work factors showed highly significant differences with respect to mental stress, chair fittness, work posture, trunk rotation, weight lifting, monotonous repetitive work in White collar group (p<0.01) ; and job satisfaction, mental stress, trunk rotation, weight lifting, monotonus repetitive work, exposure to vibration and heavy noise in Blue collar group(p<0.01). 5. The comparative analysis of social factors in two groups showed differences with respect to the using bed, sleeping posture, walking amount, health state, physical exercise, smoking habits in White cellar group (p<0.05) ; and walking amount, traffic time amount, health state, smoking habits, physical exercise in Blue cellar group (p<0.05). 6. In regard to the general aspects of back pain between two groups, there were differences concerning etiolgy of back pain, counselling partners, treatment types, and sick-leaves(p<0.05), except pain duration, and awareness of back pain.

• Korean Journal of Adult Nursing
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• v.13 no.4
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• pp.560-570
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• 2001

Purpose: The purpose of this study is to identify factors of the causal attribution of cancer and to determine related variables. Method: Subjects were one hundred and thirty three cancer patients. The tool of the perceived causal attribution used was developed by authors and basically founded on Kim's work(1993). The SAS program was used to analyze the data along with descriptive statistics, t-test, ANOVA, Duncan's Multiple range test, and Principal component analysis and varimax rotation. Results: 1) The perceived causal attribution measurement revealed four factors; overload, destiny, stress, and constitution. The total percentage of variance explained by the four factors was 44.3%. 2) The scores of destiny on women, having religion, unemployed, lower level of education, no spouse, groups of uterine cervix and lung cancer, not receiving an operation and receiving radiation were significantly higher than those other groups. 3) The scores of stress on women, having religion, and not having a job were significantly higher than those on men, without religion, and having a job. 4) The scores of constitution on those in their forties, women, not receiving an operation and receiving radiation were significantly higher than for those in their sixties, men, receiving operation and not receiving radiation. There was no significant difference in the factor scores of overload by any variables. Conclusion: Factors of the perceived causal attribution of cancer among Korean cancer patients were overload, destiny, stress, and constitution. The scores of each factor the perceived causal attribution was significantly different by general and disease related characteristics.

• Korean Journal of Occupational Health Nursing
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• v.31 no.3
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• pp.125-136
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• 2022

Purpose: The aim of this systematic literature review was to synthesize and investigate the effects of shift workers' sleep in Korea. Methods: A search was conducted through three electronic databases using keywords such as "shift work" or "rotation work" and "sleep", with sleep as the independent variable, and 17 papers were reviewed. Results: The design of those 17 studies was analyzed in a cross-sectional analysis. The most commonly measured characteristic was quality of sleep, whereas the others were sleep disturbance, sleep efficiency, and sleepiness. The study outcome variables were job-related factors, mental health, wellness, stress, fatigue, and metabolic syndrome. Conclusion: The results inform sleep and health-promoting behaviors and improvement in shift workers' working condition.

• Journal of Technology Innovation
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• v.2 no.1
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• pp.89-115
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• 1994

Japanese firms have developed their own distinctive human resource management(HRM) practices for R&D scientists and engineers. These practices consist of homogeneity of work group, standardized in-house training programs, great standardization and company control of careers, and broad job rotation following the process of commercialization of developed technology. These practices facilitate human and informational exchange and sharing between basic laboratories and development departments as well as between R&D and marketing department which contribute to the ket competitive advantage of Japanese products. But recently Japanese firm are forced to change their HRM practices. They face some srious problems in continuing their long0standing strategy of being a rapid and skillful‘ technology follower’,drawing on the basic research performed in the advanced nations and embodying it in products that are produced with high quality at relatively lower cost. There is a growing trend of strengthening basic research among Japanese firms today. In accordance with the emphasis on basic research, Japanese firms have been adopting new HRM practices for scientists and engineers which are in the opposite direction of the traditional one. These newly developed practices stress on individual vitality rather than group cohesiveness from the fusion of individual difference. These include heterogeneity of work group, multiple career paths to be chosen by individuals, incentive plan based individual performance.

• Journal of the Ergonomics Society of Korea
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• v.36 no.3
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• pp.183-196
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• 2017

Objective: The purpose of this research was to assess the agreement between job physical risk factor analysis by ergonomists using ergonomic methods and physical examinations made by occupational physicians on the presence of musculoskeletal disorders of the upper extremities. Background: Ergonomics is the systematic application of principles concerned with the design of devices and working conditions for enhancing human capabilities and optimizing working and living conditions. Proper ergonomic design is necessary to prevent injuries and physical and emotional stress. The major types of ergonomic injuries and incidents are cumulative trauma disorders (CTDs), acute strains, sprains, and system failures. Minimization of use of excessive force and awkward postures can help to prevent such injuries Method: Initial data were collected as part of a larger study by the University of Utah Ergonomics and Safety program field data collection teams and medical data collection teams from the Rocky Mountain Center for Occupational and Environmental Health (RMCOEH). Subjects included 173 male and female workers, 83 at Beehive Clothing (a clothing plant), 74 at Autoliv (a plant making air bags for vehicles), and 16 at Deseret Meat (a meat-processing plant). Posture and effort levels were analyzed using a software program developed at the University of Utah (Utah Ergonomic Analysis Tool). The Ergonomic Epicondylitis Model (EEM) was developed to assess the risk of epicondylitis from observable job physical factors. The model considers five job risk factors: (1) intensity of exertion, (2) forearm rotation, (3) wrist posture, (4) elbow compression, and (5) speed of work. Qualitative ratings of these physical factors were determined during video analysis. Personal variables were also investigated to study their relationship with epicondylitis. Logistic regression models were used to determine the association between risk factors and symptoms of epicondyle pain. Results: Results of this study indicate that gender, smoking status, and BMI do have an effect on the risk of epicondylitis but there is not a statistically significant relationship between EEM and epicondylitis. Conclusion: This research studied the relationship between an Ergonomic Epicondylitis Model (EEM) and the occurrence of epicondylitis. The model was not predictive for epicondylitis. However, it is clear that epicondylitis was associated with some individual risk factors such as smoking status, gender, and BMI. Based on the results, future research may discover risk factors that seem to increase the risk of epicondylitis. Application: Although this research used a combination of questionnaire, ergonomic job analysis, and medical job analysis to specifically verify risk factors related to epicondylitis, there are limitations. This research did not have a very large sample size because only 173 subjects were available for this study. Also, it was conducted in only 3 facilities, a plant making air bags for vehicles, a meat-processing plant, and a clothing plant in Utah. If working conditions in other kinds of facilities are considered, results may improve. Therefore, future research should perform analysis with additional subjects in different kinds of facilities. Repetition and duration of a task were not considered as risk factors in this research. These two factors could be associated with epicondylitis so it could be important to include these factors in future research. Psychosocial data and workplace conditions (e.g., low temperature) were also noted during data collection, and could be used to further study the prevalence of epicondylitis. Univariate analysis methods could be used for each variable of EEM. This research was performed using multivariate analysis. Therefore, it was difficult to recognize the different effect of each variable. Basically, the difference between univariate and multivariate analysis is that univariate analysis deals with one predictor variable at a time, whereas multivariate analysis deals with multiple predictor variables combined in a predetermined manner. The univariate analysis could show how each variable is associated with epicondyle pain. This may allow more appropriate weighting factors to be determined and therefore improve the performance of the EEM.