• Journal of Korean Academy of Nursing
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• v.25 no.4
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• pp.790-806
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• 1995

The present study examined the causal relationships among nurses' job environment /job characteristics(work overload, lack of autonomy, professional role conflict, interpersonal relationships), maturity, job stress, job satisfaction and turnover intention by constructing and testing a theoretial framework. Based on Katz and Kahn's (1978) theory of organizational open system and Kahn, Wolfe, Quinn, and Snoek's (1964) theory of stress, nurses' turnover intention, job satisfaction and job stress were conceived of as outcomes of the interplay between personal characteristics and work environment. Personal aspects associated with outcome variables included professional knowlege and skill, and maturity(challenge, commitment, control, responsibility). The work environment factors involved work overload, lack of autonomy, professional role conflict, and interpersonal relationships (social support). Three university hospitals located in Seoul were selected to participate. The total sample of 443 registered nurses represents a response rate of 96 percent. Linear structural relationships (LISREL) technique was used to test the fit of the proposed conceptual model to the data and to examine the causal relationships among variables. The result showed that both the proposed model and the modified model fit the data excellently, revealing considerable explanatinal power for job stress and job satisfaction. The explanatory power of turnover intention was relatively lower than those of stress and satisfaction. In predicting nurses' stress, satisfaction and turnover intention, the findings of this study clearly demonstrated that professional role conflict might be the most important variable of the all the environmental variables and personal characteristics. The results were dis-cussed, including directions for the future research and practical implications drawn from the research were suggested.

• Journal of Technologic Dentistry
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• v.33 no.4
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• pp.379-390
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• 2011

Purpose: This study was conducted to improve the working conditions of dental technicians, through survey for working conditions related to perform one's duty, the extent of personal exposure to substances hazardous and complaint rate and factor of job stress and subjective symptom on musculoskeletal disorders. Methods: Using four types of structured questionnaires: social and demographic factor; the actual conditions of working space; working conditions; and characteristics of dental technicians, respondents filled in the questionnaires and the results were analyzed statistically. Results: The evaluation of comfort in working place found that satisfaction level on indoor noise was the lowest with 2.6 on a five-point scale and privacy space followed 2.8 point. In reasons for dissatisfaction with job, over workload ranked the highest by 25.4% and role overload had the highest by 39.5% in job stress factors. Based on the results, we could draw conclusion that dental technicians were unsatisfied with role overload and heavy workload a day. In reasons for musculoskeletal symptom prevalence, long-patient work was the highest by 24.1%. It was thought to cause dental technicians need deep procession and long-patient work due to the nature of their job. Conclusion: In conclusion, noise reduction and privacy space are required to improve job efficiency of dental technicians. In addition; we need to think of ways to increase the job satisfaction with adequate rest while deep procession and long-patient working.

• Human Ecology Research
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• v.59 no.2
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• pp.185-197
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• 2021

This study examined the impact of job demand and organizational culture on new task difficulties, burnout, and job satisfaction using a survey data of 145 family specialists in Healthy Family and Multicultural Family Support during the COVID-19 pandemic. We used the job demand-resources model and the competing values model to categorize the four dimensions of organizational culture as a conceptual framework for this study. We found that the mean of work overload was higher than the means of job conflict and job ambiguity. Our latent profile analysis proposed four profiles of organizational culture: cultural absence type, authoritative culture type, middle cultural balance type, and high cultural balance type. The results of multiple regression analyses showed that work overload was positively associated with difficulties in new task performance and burnout, job ambiguity was positively related to burnout, and job conflict and ambiguity were negatively related to job satisfaction. These findings imply that the higher the job demands reported by family specialists, the higher the level of burnout and the lower the job satisfaction. In addition, organizational culture was a unique predictor of burnout and lower level of job satisfaction. Family specialists in the groups with a high cultural balance were Family specialists in the groups with a high cultural balance were more likely to have lower levels of burnout than those in the culture absence and in the middle culture balance, and higher job satisfaction than the other groups. The results suggest that management strategies to build a creative workplace culture can prevent burnout and improve job satisfaction.

• Knowledge Management Research
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• v.18 no.4
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• pp.97-118
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• 2017

Thanks to the development of social media, general users become information and knowledge providers. But customers also feel difficulty to decide their purchases due to numerous information. Although recommender systems are trying to solve these information/knowledge overload problem, it may be asked whether they can honestly reflect customers' preferences. Especially, customers in book market consider contents of a book, recency, and price when they make a purchase. Therefore, in this study, we propose a methodology which can reflect these characteristics based on topic modeling and provide proper recommendations to customers in book market. Through experiments, our methodology shows higher performance than traditional collaborative filtering systems. Therefore, we expect that our book recommender system contributes the development of recommender systems studies and positively affect the customer satisfaction and management.

• Journal of Korea Multimedia Society
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• v.20 no.7
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• pp.1065-1072
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• 2017

As smart devices and social network services (SNSs) become increasingly pervasive, individuals produce large amounts of data in real time. Accordingly, studies on unstructured data analysis are actively being conducted to solve the resultant problem of information overload and to facilitate effective data processing. Many such studies are conducted for filtering inappropriate information. In this paper, a feature-weighting method considering SNS-message features is proposed for the classification of short text messages generated on SNSs, using Markov logic networks for category inference. The performance of the proposed method is verified through a comparison with an existing frequency-based classification methods.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.26 no.1
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• pp.40-46
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• 2003

The employees in information system organization are highly exposed to stress. However, there is little theoretical or empirical study on the effects of job stress on IS organizations. A major reason is because few researchers consider consequences of job stress. The major purpose of this study is to verify negative effects of job stress for IS organization. This study have three purposes : to investigate the relationship between job stressors and perceived job stress; to understand the effect of perceived job stress and job attitude - job satisfaction, job involvement; to examine the role of moderators such as social support and personality in the relationship between job stressors and perceived job stress in information system organizations. The results of this study suggest that job stressors such as role overload and role ambiguity are significantly related to perceived job stress, the higher the perceived job stress is the lower the job attitudes such as job satisfaction and job involvement, and the employees' personality has moderating effects between the job stressor and perceived job stress.

• Journal of Applied Reliability
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• v.6 no.4
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• pp.255-274
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• 2006

Recently firms become largely changed because of rapid technological innovation and serious global competition. It induces job stress of workers and finally leads to job burnout. This study aims to find the effects of job demands and job resources on job burnout. Job demands contains role ambiguity, role conflict, role overload and job characteristics. Job resources contains job control and feedback, involvement in decision making, learning opportunity and social support. The result reveals that job demands raises job burnout and job resources decreases job burnout. And it reveals that the effects of job demands and job resources on job burnout differs slightly according to job categories.

• The Journal of Economics, Marketing and Management
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• v.4 no.3
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• pp.25-32
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• 2016

This study is focused on the factors that reduce the high turnover rate of early childhood teachers against the backdrop of their poor work environment including long hours, work overload and low wage by identifying the effects of three sub-factors of justice on the collectivistic tendency and those of the job burnout on their turnover intention. To conduct this study, a survey was carried out childcare teachers of the Seoul and Metropolitan Area. Total of 283 valid female questionnaires were collected and utilized for analysis. According to the analysis, both procedural justice and interpersonal justice have positive effects on the collectivistic tendency and decrease the turnover intention. The interpersonal justice decreases the job burnout, whereas the distributive justice statistically significantly increases the job burnout. Also, the collectivistic tendency reduces the turnover intention. The job burnout increases the turnover intention, which is consistent with previous studies. Hence, increasing the interpersonal justice and the collectivistic tendency could be an option for dealing with the issue.

• Journal of information and communication convergence engineering
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• v.22 no.1
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• pp.7-13
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• 2024

User preferences and ratings may be anticipated by recommendation systems, which are widely used in social networking, online shopping, healthcare, and even energy efficiency. Constructing trustworthy recommender systems for various applications, requires the analysis and mining of vast quantities of user data, including demographics. This study focuses on holding elections with vague voter and candidate preferences. Collaborative user ratings are used by filtering algorithms to provide suggestions. To avoid information overload, consumers are directed towards items that they are more likely to prefer based on the profile data used by recommender systems. Better interactions between governments, residents, and businesses may result from studies on recommender systems that facilitate the use of e-government services. To broaden people's access to the democratic process, the concept of "e-democracy" applies new media technologies. This study provides a framework for an electronic voting advisory system that uses machine learning.

• Korean Journal of Social Welfare
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• v.36
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• pp.199-228
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• 1998

This study is designed to find out the determinants of dual-earner wives' needs for family-supportive services. For this purpose, a hypothetical model which explains the relationships among 6 stressors, role overload, stress and needs for 4 family-supportive services is developed. Using the data collected by purposive sampling from 234 professional women and 208 blue-collar women living in Chinju and Sacheon, the hypothetical model developed in this study was tested. In order to examine occupational class differences, a model for professionals and another model for blue-collars were developed separately and compared. For data analysis, a covariance structure analysis was used. The best-fitting model for professional women (df=141, GFI=0.928, CFI=0.965) and the model for blue collar women (df=141, GFI=0.902, CFI=0.912) were found. As a result of comparing two models, 9 common relationships were found:l)Greater dissatisfaction with child care service increases role overload; 2)Longer work hours increases role overload; 3) Higher level of role overload increases stress; 4)Higher level of stress increase needs for leaves; 5)Older child increases needs for flexible work pattern; 6)Younger child increases needs for finalcial assistance for child care fee; 7)needs for financial assistance for child care increases needs for on-site child care services; 8)needs for on-site child care services increases needs for leaves; 9)needs for leaves increases needs for flexible work pattern. With the exception of these 9 common relationships, the analyses revealed substantial differences between professional and blue-collar dual-earner wives. Based on the common and differential needs between 2 groups of wives, the effective ways to provide family-supportive services according to the needs of individual dual-earner wives who are in different familial, financial, and work conditions were suggested.