• International conference on construction engineering and project management
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• 2009.05a
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• pp.60-70
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• 2009

This paper explores the ways in which collaborative working among multiple disciplines in building projects can be more effective and efficient. It focuses on the support that can be provided by the latest development in information and communication technologies. It also considers the growing interdependence between participants in the process and their changing roles as they harness the power of the new technologies in new collaborative arrangements. It is argued that collaborative working should be addressed holistically from the technological angle, the social angle, as well as the organisational angle, to ensure its successful implementation in the construction industry. A case study is given to illustrate the use of ICT in supporting value management studies. The key issues surrounding the emerging field of research - collaborative construction information management - and the potential benefits and challenges of its wide adoption are discussed at depth.

• Journal of Family Resource Management and Policy Review
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• v.14 no.1
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• pp.97-118
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• 2010

The purpose of this study is to provide background information to help develop family-friendly policies which aid in the ability for employees to balance family and work, and to increase the effectiveness and feasibility of these policies at work sites. We surveyed the performance and usage of work-family balance policies among working mothers with young children. We also examined the factors influencing the job satisfaction of working mothers. The study sample consisted of 237 working mothers with young children. We found that family economic status, working mother's experience of family leave or maternity leave, and easiness of policy use are important factors in a working mother's job satisfaction. Especially when individual and job characteristics are controlled, the most influential factor on working mothers' job satisfaction was the experience of family leave or maternity leave. In addition, the easiness of family-friendly policy use was a significant factor in working mothers' job-satisfaction.

• Annals of Occupational and Environmental Medicine
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• v.34
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• pp.2.1-2.14
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• 2022

Background: Because income and working hours are closely related, the health impact of working hours can vary according to economic status. This study aimed to investigate the relationship between working hours and the risk of poor self-rated health according to household income level. Methods: We used the data from the Korea National Health and Nutrition Examination Survey VI and VII. The information on working hours and self-rated health was obtained from the questionnaire. After stratifying by household income level, the risk of poor self-rated health for long working hour group (≥ 52 hours a week), compared to the 35-51 working hour group as a reference, were calculated using multiple logistic regression. Results: Long working hours increased the risk of poor self-rated health in the group with the highest income, but not in the group with the lowest income. On the other hand, the overall weighted prevalence of poor self-rated health was higher in the low-income group. Conclusions: The relationship between long working hours and the risk of poor self-rated health varied by household income level. This phenomenon, in which the health effects of long working hours appear to diminish in low-income households can be referred to as the 'poor worker's long working hours paradox'. Our findings suggest that the recent working hour restriction policy implemented by the Korean government should be promoted, together with a basic wage preservation to improve workers' general health and well-being.

• Journal of the Korean Data and Information Science Society
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• v.24 no.3
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• pp.651-658
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• 2013

For the marginal model and generalized estimating equations (GEE) method there is important full covariates conditional mean (FCCM) assumption which is pointed out by Pepe and Anderson (1994). With longitudinal data with time-varying stochastic covariates, this assumption may not necessarily hold. If this assumption is violated, the biased estimates of regression coefficients may result. But if a diagonal working correlation matrix is used, irrespective of whether the assumption is violated, the resulting estimates are (nearly) unbiased (Pan et al., 2000).The quadratic inference functions (QIF) method proposed by Qu et al. (2000) is the method based on generalized method of moment (GMM) using GEE. The QIF yields a substantial improvement in efficiency for the estimator of ${\beta}$ when the working correlation is misspecified, and equal efficiency to the GEE when the working correlation is correct (Qu et al., 2000).In this paper, we interest in whether the QIF can improve the results of the GEE method in the case of FCCM is violated. We show that the QIF with exchangeable and AR(1) working correlation matrix cannot be consistent and asymptotically normal in this case. Also it may not be efficient than GEE with independence working correlation. Our simulation studies verify the result.

• Proceedings of the KSR Conference
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• 2008.06a
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• pp.579-587
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• 2008

Promotion of the line no.2 in Seoul Metro was changing from the existing signaling facilities for ATS(Automatic Train Stop) vehicles to the up-to-date signaling facilities for ATO(Automatic Train Operation). But, in consequence of conducting a trial run after being equipped with the ATO signaling facilities, the matter related to mix-operation with the existing ATS signaling facilities appeared. The operation of the existing ATS signaling system in combination with the ATO signaling system has made improper working related to frequency recognition of the ATS On-board Computerized Equipment. This obstructs operation of a working ATS vehicle. That is, as barring operation of an ATS vehicle that should proceed, it may make the proceeding ATS vehicle stop suddenly and after all, it will cause safety concerns. In this paper, we designed a wayside track occupancy detector that previously prevents improper working related to frequency recognition of the ATS On-board Computerized Equipment by gripping classification and working processes of operating trains throughout transmission of local signaling information from the existing facilities, which does not need to change or replace the existing signaling facilities. Furthermore, we described general characteristics of the wayside track occupancy detector and modeled the IFC(InterFace Contrivance) device and the logical circuit recognizing signal information. Then, we made an application program of PLC(programmable Logic Computer) based on the stated model. We, in relation to data transfer method, used the frame in TCP/IP transfer mode as the standard, and we demonstrated that ATO transmission frequency is intercepted.

• Journal of Information Technology Applications and Management
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• v.24 no.3
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• pp.23-49
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• 2017

This paper is part of the dissertation for an MSc in Project Management and Innovation of Strathclyde Business School The research aims at understanding how IT-SMEs (Small and Medium-sized Enterprises in Information Technology Business) implement and use Flexible Work Arrangements and Flexible Working Hours (FWH/FWA) in their organisations. In-depth interview data was collected from managers and business owners of 31 companies whose needs for Work-Life Balance varied. Results show that many factors positively influence IT-SMEs to use FWH/FWA. For example, customers and partners working at different work-hours, traffic congestions between home and office, and the general stereotype of IT personnel. However, the results also found several concerning factors that may hamper the success of FWH/FWA implementation. They include the inadequacy of management skills in tracking, monitoring, and assessing employee's real performance, contextual factors for Thai IT-SMEs, i.e. conflict resolution culture, IT people's protocol of communication exchanges, and shortcoming of technology infrastructure. The findings also show that many companies that had used FWA eventually stopped. Thus, a four-phase cyclical framework called PLIC (Purpose-Limitation-Implementation-Consequence) has been developed as an approach to FWH/FWA implementation.

• Korean Journal of Cognitive Science
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• v.23 no.2
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• pp.249-267
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• 2012

Individual differences in working memory predict qualitative differences in language processing. High span comprehenders are better able to integrate probabilistic information such as plausibility and animacy, the use of which requires the computation of real world knowledge in syntactic parsing (e.g.,[1]). However, it is unclear whether similar individual differences exist in the use of informative prosodic cues. This study examines whether working memory modulates the use of prosodic boundary information in attachment ambiguity resolution. Prosodic boundaries were manipulated in globally ambiguous relative clause sentences. The results show that high span listeners are more likely to be sensitive to the distinction between different types of prosodic boundaries than low span listeners. The findings suggest that like high-level constraints, the use of low-level prosodic information is resource demanding.

• Journal of Labour Economics
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• v.39 no.1
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• pp.33-55
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• 2016

This paper examines the role of adverse working environments in the determination of workers' compensation in South Korean. I use the Third Korean Working Conditions Survey(2011), Occupational Safety and Health Research Institute that provide relevant variables in objective and subjective compensation and workers of diverse working environment. I find that risk factors in adverse working environments have a very minor role in the determination of individual wages. In contrast, adverse working environments have significant relationship with the level of compensation satisfaction. In addition, the results show that workers are more likely to receive compensation from psychological risk than physical risk. And women receive much more compensation in the psychological risk. These results provide useful information for improvement of working environments.

• Journal of the Korean Society of Food Culture
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• v.25 no.1
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• pp.17-24
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• 2010

The purpose of this study was to investigate nutritional knowledge, practice of eating behavior guidelines, and problematic dietary habits in working high school students in comparison with non-working high school students. A survey questionnaire was formulated to obtain information on demographic variables, body size, part-time jobs, nutritional knowledge, practice of eating behavior guidelines, and dietary habits. The developed questionnaire was given out to 515 students attending a vocational high school in Yongin, Gyeonggi-Do. Those who had been working 5 hours or more per day for at least a month at the time of survey administration were defined as working students for this study. Proportions of working students were similar between male and female students (i.e. 49.5% for male, 50.5% for female). No significant difference was found in scores of nutritional knowledge between working ($8.43{\pm}2.29$) and non-working students ($8.60{\pm}2.19$). However, some dietary habits were found to be dependent on working status. While approximately 43% of non-working students reported skipping a meal, about 57% of working students did so (p<0.01). The proportion of students with any drinking experience was significantly higher among working students (92%) compared to non-working students (80%) (p<0.001). Working students were found to drink alcoholic beverages more often than non-working students (p<0.001). The mean score of practice of eating behavior guidelines was lower in working students than non-working students. The magnitude of this difference was modest ($51.33{\pm}0.63$ in working students, $53.40{\pm}0.51$ in non-working students), but reached statistical significance (p<0.01). Based on the findings from this study, it is suggested that specific behavior-oriented messages to improve certain problematic dietary habits need to be directed toward working high school students.

• Journal of Drive and Control
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• v.13 no.4
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• pp.14-22
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• 2016

This paper presents a stochastic and predictive working-risk-assessment algorithm for excavators based on a one-layer laser scanner. The one-layer laser scanner is employed to detect objects and to estimate an object's dynamic behaviors such as the position, velocity, heading angle, and heading rate. To estimate the state variables, extended and linear Kalman filters are applied in consideration of laser-scanner information as the measurements. The excavator's working area is derived based on a kinematic analysis of the excavator's working parts. With the estimated dynamic behaviors and the kinematic analysis of the excavator's working parts, an object's behavior and the excavator's working area such as the maximum, actual, and predicted areas are computed for a working risk assessment. The four working-risk levels are defined using the predicted behavior and the working area, and the intersection-area-based quantitative-risk level has been computed. An actual test-data-based performance evaluation of the designed stochastic and predictive risk-assessment algorithm is conducted using a typical working scenario. The results show that the algorithm can evaluate the working-risk levels of the excavator during its operation.