• Journal of Korean Critical Care Nursing
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• v.9 no.2
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• pp.36-47
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• 2016

Purpose: The study examined core job characteristics and job preference to explain work performance among critical care nurses. The theoretical model was constructed based on the job characteristics model with core job characteristics as exogenous variables, and work performance and job preference as endogenous variables. Methods: A total of 228 hospital nurses participated in the study from May to September, 2015. Data were collected through structured questionnaires and analyzed using structural equation modeling. Results: The model showed a good fit to the data with $x^2/df=2.90$, goodness of fit index = .91, root mean square residual = .20, comparative fit index = .93, and incremental fit index = .93. The core job characteristics explained 64% of the variance in job preference. The core job characteristics and job preference explained 52% of the variance in work performance. Conclusions: The core job characteristics can explain the work performance among critical care nurses through job preference. Effective strategies to improve the work performance among critical care nurses should focus on the application of the core job characteristic into a productive work environment. Further studies are warranted to explore the role of job preference of critical care nurses in promoting their work performance.

• Journal of Welding and Joining
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• v.25 no.4
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• pp.79-85
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• 2007

The industrial disaster caused by a work-related disease like a Musculoskeletal Disorders(MSDs) becomes a big social problem and increases rapidly. This leads to the degradation of the labor desire and the productivity. Welding work belongs to the work with a high intensity. This paper aims to analyze the welding work in the various positions from a view-point of the burden of the human musculoskeletal system and to propose the desired position with lower burden. For this purpose the real welding work was observed in the shipyard and analyzed using the RULA method, a powerful ergonomics tool. The 3-dimensional simulation model fur this work was also developed. In this model, ergonomics human model and welding work environment were built. This model was verified through the comparison to the real work. This paper showed that the improvement of welding position by changing the location of a stool and using some auxiliary tool can reduce the work intensity remarkably and lead to the decrease of MSDs.

• Journal of Family Resource Management and Policy Review
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• v.12 no.2
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• pp.191-207
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• 2008

The purpose of this study was to analyze the education policies for work-family balance in Korea. Data were collected from homepages of elementary schools(n=196). The major analysis was performed through the following 4 subjects, parent-teacher association, after-school programs, holidays on every alternate Saturday, arbitrary no school days. Based on the results, the policy implications on social investment policies were discussed : To promote work-family balance, family-friendly culture in workplaces as well as schools should be established that develop childcare system for working parents. The linkages between educational system and work system will contribute to parents' rights in Korea.

• Journal of Information Technology Services
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• v.21 no.6
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• pp.91-116
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• 2022

This research shows how the perception of digital shadow work varies depending on the user's period of use of digital services in applications, which are key areas of digital services. The purpose of this research is to investigate how the digital shadow work type changes over time. This research adopted a qualitative research method for location-based service "help application" users and examined the change in perception from the app service acceptance stage to the app service continuous use stage with two-times interviews of ten users by a longitudinal research design. This study conducted a longitudinal analysis focusing on how digital shadow work occurs in the application subscription process, exploring phenomenologically how the type changes throughout the process over time.

• Journal of Korean Academy of Nursing Administration
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• v.12 no.3
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• pp.482-490
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• 2006

Purpose: The purposes were to survey the level of work stress, social support, burnout of insurance review nurses and to measure the main & buffering effect of perceived social support on burnout. Method: The samples were 285 insurance review nurses who were registered in Review Nurses Association of Korea at the period of 25 July and 12 August in 2005. Data were analyzed by using of t-test, Pearson's correlation, stepwise multiple regression, two-way ANOVA. Results: There were significant differences of burnout according to the work experience, position, and work satisfaction of insurance review nurses. Among the variables explaining the level of burnout of review nurses, the most significant variable was work stress, followed by current work satisfaction, social support, position and total variance explained was 40.8%. For the analysis of the buffering effects of perceived social support on work stress and burnout, the interaction between work stress and social support was not significant. Conclusions: It is necessary to construct the social support system and to reduce the work stress in order to reduce the level of the burnout of insurance review nurses.

• Journal of the Korea Safety Management & Science
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• v.13 no.3
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• pp.209-215
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• 2011

Currently, 10% of the domestic aircraft accidents and 9% of delays and cancellations were generated due to poor maintenance. Aircraft maintenance work is divided into works in material warehouse and in hangar. In material warehouse, the problem in aircraft maintenance work is occurred when the serial number of parts are identified and entered. In hangar, work order are duplicatively written. In addition, the maintenance information is not shared and then work order is wrong delivered. In this study, we analyzed the maintenance process and the informations that occurs in the material warehouse and hangar for large airline company to solve the problems. And serial numbers are replaced by QR code. And documented work order and manual are handled using the tablet PC. In conclusion, this paper studied smart work of maintenance process about tire parts. We expect to improve the inefficiency of identification of serial number and total maintenance time is reduced by real-time information sharing.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.14 no.12
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• pp.4748-4762
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• 2020

Recently, the COVID 19 pandemic has affected on our daily lives and society in many ways. Specifically, it has brought rapid changes in the working environment from office working to smart telecommuting. In addition, cloud computing technology and services not only provided ubiquitous access, but also led to a sharing of information, internal-external communication channels, telework, and innovative smart work for the business process. As a result, smart work services based on social cloud networking have spread to the public sector. However, existing academic research examining smart work merely remains to focus on the theoretical conceptualization or to deal with merely several examples of private views. Best practices of smart work services based on cloud computing technology in the public field rarely exists. Moreover, many studies have been differently measured the values of smart work for private and public sectors depending on organizational singularities. Therefore, the study aims to define new theoretical implications and to explore future business strategies and policy directions based on a technical working group's personal psychological subjectivity. The research applied Q methodology, and selected five public organizations in Korea, that they have adopted or currently plan to adopt some part of smart work services.

• Industrial Engineering and Management Systems
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• v.7 no.1
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• pp.9-22
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• 2008

As an extension of a previous work by the authors (Song and Esogbue, 2006), a new algorithm for automated modeling of nonstationary seasonal time series is presented in this paper. Issues relative to the methodology for building automatically seasonal time series models and periodic time series models are addressed. This is achieved by inspecting the trend, estimating the seasonality, determining the orders of the model, and estimating the parameters. As in our previous work, the major instruments used in the model identification process are correlograms of the modeling errors while the least square method is used for parameter estimation. We provide numerical illustrations of the performance of the new algorithms with respect to building both seasonal time series and periodic time series models. Additionally, we consider forecasting and exercise the models on some sample time series problems found in the literature as well as real life problems drawn from the retail industry. In each instance, the models are built automatically avoiding the necessity of any human intervention.

• 월간산업보건
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• s.354
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• pp.39-51
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• 2017

• Proceedings of the Korea Institute of Fire Science and Engineering Conference
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• 2005.11a
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• pp.117-125
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• 2005