of hazardous risk factors, risk estimation and determination steps by reflecting the trend of overseas risk assessment. METHODS : In deriving, estimating and determining risk factors, comparing the procedures presented by the ILO with the domestic guidline to find out the differences in procedural. and, According to the domestic manual, after setting the criteria for determining a deterministic perspective, analyze the risk assessment data of a specific domestic company and three overseas risk assessment research data to analyze the differences in methodology domestic and abroad. RESULTS : Within the country, there is a possibility that a deterministic view may be applied to all stages of procedure, and certain corporate data to the risk estimation and determination stage. In the case of overseas, the trend of applying deterministic perspectives to the risk determination stage was confirmed. CONCLUSIONS : Present the need for a standard model for improving deterministic methods in the other two stages, excluding risk determination in the domestic evaluation procedure.

With rapid urbanization, the importance of urban warfare is increasing, and it is also required to reflect the characteristics of cities in wargame models. However, in the military's wargame models, the urbanization factor was calculated and used without theoretical basis. In this study, we investigate techniques for estimating the urbanization factor using Fractal dimension theory. The urbanization factor we propose can suggest a logical and valid representative value when used in conjunction with Agent Based Model and other methodologies.

For economic and safe management of Spent Nuclear Fuel (SNF), it is very important to maintain the structural integrity of SNF and to keep the fuel undamaged and handleable. The cladding surrounding nuclear fuel must be protected from physical and mechanical deterioration. The structural evaluation of SNF is very complicated and numerically demanding and it is essential to develop a simplified model for the fuel rod. In this study, a simplified model was developed using a new cladding failure criterion. The simplified model was developed considering only the horizontal or lateral static load utilizing the cladding material properties of irradiated Zirclaoy-4, and applicability in horizontal and vertical drop impacts was investigated. When a fuel rod is subject to bending, a very complicated 3D stress state is generated within the vicinity of the pellet–pellet interface. A very localized stress concentration is observed in the area where the edges of the pellets contact the cladding. If the failure strain criteria obtained from the uniaxial tension test or biaxial tube test is applied, failure is predicted at the beginning stage of loading with premature through-thickness stress or strain development. The localized contact stress or strain is self-limiting and is not a good candidate for the cladding failure criteria. In this work, a new cladding failure criterion is proposed, which can account for the localized stress concentration and the through-thickness stress development. The failure of the cladding is determined by the membrane plus bending stress generated through the thickness of the cladding, which can be calculated by a process called stress linearization along the stress classification line. The failure criterion for SNF was selected as the membrane plus bending stress through stress linearization in the cross-sections through the thickness of the cladding. Because the stress concentration in the cladding around the vicinity of the pellet–pellet interface cannot be simulated in a simplified beam model, a stress correction factor is derived through a comparison of the simplified model and detailed model. The applicability of the developed simplified model is checked through horizontal and vertical drop impact simulations. It is shown that the stress correction factor derived considering static bending loading can be effectively applied to the dynamic impact analyses in both horizontal and vertical orientations.

본 연구는 치매환자를 돌보는 간호사의 공감도 구성요인이 무엇인지 분석하여, 이를 통해 치매 환자 간호실무에 도움이 되고자 한다. 본 연구를 수행하기 위해 요양병원에서 치매환자 간호에 종사하는 219명의 간호사를 대상으로 하였다. 공감도(ECRS)를 이용하여 요인구조 탐색과 확인요인분석(CFA)을 통 한 기초모형 추출 및 모형 수정, 모형 적합성 검증을 실시하였다. 본 연구 결과 간호사의 치매환자에 대한 공감도는 타인 정서의 수용, 자신의 부정정서 억제, 정서의 교류 및 상호작용 등 3개요인 49개 문항으로 구성요인의 타당성과 신뢰성을 확인하였다. 이러한 결과에 따라 타당성과 신뢰성을 확보한 공감도 측정 도 구는 향후 치매환자 간호실무현장에서 간호사의 공감도를 확인하는 연구에 활용될 수 있을 것으로 기대된 다.

Driven by the ability to interconnect with key modern trends of healthcare and fitness, wearable devices are attracting significant level of interest from sports industry marketers. Wearable devices are the new electronic technology equipped with sensors, internet connections, processors, and operating systems and used external to the body, either attached as an accessory or embedded in clothes (Li, Wu, Gao, & Shi, 2016; Raskovic, Martin, & Jovanov, 2004; Yang, Yu, Zo, & Choi, 2016). As fully functional, self-contained electronics, wearable devices allow users to access information measured anytime and anywhere. According to ABI Research (2016), the global wearable device shipments will increase from 202 million in 2016 to more than 501 million by 2021. Specifically, market reports show that wearable fitness trackers have dominated the consumer market for wearable devices by accounting 85% of the wearable technology market in 2016 (International Data Corporation, 2016). A wrist-worn type of wearable fitness devices is the most popular but chest worn type, apparel, and other types (e.g., clip-on, ear-worn, etc.) of wearable devices are also used for fitness tracking. Wearable fitness devices analyze accumulated data of the users’ physical activity as well as provide the health and fitness status in real time. Studies on behavior change through wearable technology showed that feedback based on accurate and insightful analysis could lead long-term use of wearable devices (Fritz, Huang, Murphy, & Zimmermann, 2014; Patel, Asch, & Volpp, 2015). In this regards, smart applications linked to wearable fitness devices are widely used. As electronics IT products and services are recognized as an instance of fashion objects, many studies on the user acceptance of the products and services have focused on the importance of product design and visual attractiveness (Cyr, Head, & Ivanov, 2006; Tzou & Lu, 2007). However, little research has been done on user acceptance and behaviors of wearable fitness devices and smart applications linked to the devices focusing on the effect of the design aesthetics. Thus, the current study seeks to better understand the relationship between design aesthetics and the extended technology acceptance model (TAM) including perceived usefulness, perceived ease of use, and perceived enjoyment. In addition, this study seeks to explore the synergistic effect of visual attractiveness of the smart applications linked to them on adoption process of wearable fitness devices and the related services. The definition of fashion is “a way of behaving that is temporarily adopted by a discernible proportion of members of a social group because that chosen behavior is perceived to be socially appropriate for the time and situation (Tzou & Lu, 2009, p. 312- 313).” A fashion object has some unique characteristics including styling, aesthetics, ego gratification, etc. and is perceived to be newer, more novel, more aesthetic or even more attractive than other choices (Tzou & Lu, 2009, p. 313). As iPhone and iWatch have changed the market trends of IT products and services, it is significant that consumer electronics products with visually attractive design are more likely dominate the market and consumers’ willingness to pay is high. As a fashion technology, the most popular type of wearable fitness devices is a bracelet that users can wear on their wrist. Users wear fitness devices 24/7 to track their physical activity to gain information for healthcare and fitness practice. Specifically, wearable fitness devices track physical activity, such as workout time and intensity, steps taken, calories burned, and even sleep patterns. By quantifying users’ behaviors, the devices can educate and motivate individuals to improve their health and fitness practices (Patel et al., 2015). Considering IT products as fashion technology, many studies on user acceptance of new technology show the importance of product design and attractiveness. Researchers found that the sensory experience of information technology as well as physical electronics products determined users’ perceived usefulness, perceived ease of use, and perceived enjoyment (Childers et al., 2001; Cyr et al., 2006; van der Hdijden, 2003). However, few studies have tested the effect of aesthetics factor on the wearable fitness device adoption process. Thus, this study defines design aesthetics as an aesthetic product design expressed through shapes, colors, and materials and user interfaces of wearable fitness devices (Yang et al., 2016) and examines the effect of design aesthetics on ergonomic conceptions such as perceived usefulness and ease of use and an emotional factor, perceived enjoyment. In addition, this study focuses on the synergistic effect of design aesthetics of a smart application linked to a wearable fitness device which can motivate use of the device by providing the users more insightful information. The devices collect users’ physical activity data 24/7 and transfer the data to a smart application linked to them, either through wireless Bluetooth syncing or plugging the device into users’ smartphone or PC. Then, the application provides useful feedback by informing the users their goals, progress, and the results of activity. Visual attractiveness of a wearable device defined by Yang et al. (2016) included an aesthetic product design expressed through the wearable device as well as through mobile applications linked to the device. However, the function and presentation of a wearable device itself and a smart application linked to the device are different. Simply, the wearable device is a hardware and the smart application is a software. To fully understand the role of a wearable fitness device which is physically presented on users’ body and a smart application linked to the device which requires more information visualization, this study examines the effects of design aesthetics of a wearable fitness device and the smart application linked to the device separately on the model of wearable fitness device and service acceptance. Introduced by Davis (1989), the TAM provides a framework for understanding the likelihood that individuals will adopt a new technology. The TAM postulates that two key factors predict a technological acceptance: perceived usefulness and perceived ease of use. Defined as “the degree to which a person believes that using a particular system would enhance his or her performance (Davis, 1989, p. 320)”, perceived usefulness describes the value users believe they could find in a wearable fitness device. Meanwhile, perceived ease of use is “the degree to which a person believes that using a particular system would be free of effort (Davis, 1989, p. 320).” According to the model, perceived usefulness and perceived ease of use combined to develop behavioral intentions which in turn lead to the adoption of a technology (Davis, Warshaw, & Bagozzi, 1992, p. 660). Regarding IT products and services adoption, researchers consistently found the positive relationship between perceived usefulness and behavioral intention to adopt a new form of technology. Zaremohzzabieh et al. (2015) found a positive relationship between perceived usefulness and behavioral intention to adopt a new form of information communication technology. Lunney, Cunningham, and Eastin (2016) examined factors affecting the adoption of wearable fitness trackers found that perceived usefulness was the key factor that influenced attitude and use. Furthermore, perceived ease of use was a direct determinant of usage behavior. Researchers have agreed that perceived ease of use also a key determinant of intention to use technology (Bhattacheijee & Hikmet, 2008; Lunney et al., 2016; Tzou & Lu, 2009; van der Heijden, 2003). In addition to the original TAM model, researchers have enhanced the model by including a hedonic component of enjoyment in the adoption of IT products and services (Childers, Carr, & Carson, 2001; Cyr et al., 2006; Dabholkar & Bagozzi, 2002). Davis et al. (1992) included perceived enjoyment in TAM defining it as “the extent to which the activity of using the computer is perceived to be enjoyable in its own right, apart from any performance consequences that may be anticipated (p.1113).” Researchers found the positive relationship between perceived enjoyment and use of technology (Cyr et al., 2006; Teo, Lim, & Lai, 1999; van der Heijden, 2003).This study investigates the antecedents, moderator and consequences of wearable fitness device and service acceptance considering them as fashion technology. With empirical analysis, the results will provide interesting insights and suggestions. First, findings will show the effect of design aesthetics on ergonomic conceptions (i.e., perceived usefulness and perceived ease of use) and an emotional factor (i.e., perceived enjoyment). This indicates that IT products are not purely results of engineering advances but be recognized as an instance of fashion objects (Tzou & Lu, 2009). Second, this study focuses on the synergistic effect of design aesthetics of smart application linked to a wearable fitness device which can motivate use of the device by providing the users more insightful information. Findings in the analysis of the effect of design aesthetics of the application and its adoption will provide deeper understanding on users’ wearable fitness device adoption by indicating overall service jointly influences users’ behavior. This study will provide useful insights and evidences to sports marketing managers how consumers make choices, how manufacturers should design services as well as hardware parts in the future.

As the industrial society develops, the management of the production line becomes more and more important. There are also diversifying Management methods by industry. In addition, National Competency Standards (NCS) have also been developed. As a result, It has been created standards for each job and provide education and training standards for industrial production management tasks. Customer satisfaction is an ever-growing concern of management throughout the world. In addition, Colleges are focusing on vocational education. Because of the opening of the education market, They are competing in various ways. And, To survive in this competition. They are making great efforts to improve the lecture satisfaction. If education is regarded as an industry, it can be classified as a representative service industry. Because it is formed as a perfect competition between colleges. And then in this paper, This will focus on the mechanical production Manager duties of industrial engineering department related NCS. This study also conducted empirical studies to analyze factors affecting the curriculum using the KANO analysis.

The paper reviews gauge R&R studies by two-factor mixed models including random and fixed factors. The two-factor mixed models include restricted models and unrestricted models considering the interaction of two factors. This study also classifies the models according to the number of factors, and the combination of various factors such as random factor, fixed factor, block factor and repetition type.

Semiconductor industry is based on equipment industry and timing industry. In particular, semiconductor process is very complex and as semiconductor-chip width tails and is becoming equipment gradually more as a high technology. Equipment operation is primarily engaged in semiconductor manufacturing (engineers and operator) of being conducted by, equipment errors have also been raised. Equipment operational data related to the error of korea occupational safety and health agency were based on data and production engineers involved in the operator's questionnaire was drawn through the error factor. Equipment operating in the error factor of 9 big item and 36 detail item detailed argument based on the errors down, and 9 big item the equipment during operation of the correlation error factor was conducted. Each of the significance level was correlated with the tabulation and analysis. Using the maximum correlation coefficient, the correlation between the error factors to derive the relationship between factors were analyzed. Facility operating with the analysis of error factors (big and detail item) derive a relationship between the model saw. The end of the operation of the facility in operation on the part of the two factors appeared as prevention. Safety aspects and ergonomics aspects of the approach should be guided to the conclusion.

This research has been conducted in order to assess the effects on quality management factor of the construction sites. 30 companies abiding by the 'construction industry law' and 32 companies abiding by the 'housing construction promotion law' have been researched in areas of quality-management environment, quality-management understanding, quality-management education on construction field, quality-system and quality-improvement. This construction quality factors are to realized the anticipated results not only quality level's increasing, but also company's confidence, competitiveness. We were able to obtain participations of 62 questionnaire, and derived statistics by means of SPSS/PC version 10.0. In this study, we find the bottleneck factor for promotion and upgrade quality management factor of the construction sites and suggest a way out of difficulties.

This research has been conducted in order to assess the effects on quality management factor of the construction sites. 30 companies abiding by the 'construction industry law' and 32 companies abiding by the 'housing construction promotion law' have been researched in areas of quality-management environment, quality-management understanding, quality-management education on construction field, quality-system and quality-improvement. This construction quality factors are to realized the anticipated results not only quality level's increasing, but also company's confidence, competitiveness. We were able to obtain participations of 62 questionnaire, and derived statistics by means of SPSS/PC version 10.0. In this study, we find the bottleneck factor for promotion and upgrade quality management factor of the construction sites and suggest a way out of difficulties.

The purpose of this study is to analyze the determinants of risk factor model for the Jordanian banking stocks from 2006 to 2018. This study employs the Five-factor Fama and French’s (2015) methodology and uses the annual returns of all Jordanian banks including 2 Islamic and 13 commercial banks listed on the Amman Stock Exchange (ASE) over a period of 13 years. The results show that the factors of value and profitability have an important role in evaluating the expected return in Jordanian banking stocks. Moreover, the value HML and profitability RMW factors provide the highest cumulative returns among these five factors, while the investment CMA and size SMB factors are still around zero cumulative returns. For the market factor, it provides the least negative cumulative returns. The results showed that the largest correlation is between value and investment factors which means that banks with a high book to market value become banks with a conservative investment strategy. The result of the sub-periods confirmed the value and profitability results. The findings of this study suggest that the five-factor Fama and French model is the choice of building an investment portfolio, especially the factors of value and profitability.

In unfrictionless markets, one measure of asset pricing is its height of friction. This study develops a three-factor model by loosening the assumptions about stocks without friction, without risk, and perfectly liquid. Friction is used as an indicator of transaction costs to be included in the model as a variable that will reduce individual profits. This approach is used to estimate return, beta and other variable for firms listed on the Indonesian Stock Exchange (IDX). To test the efficacy of friction-adjusted three-factor model, we use intraday data from July 2016 to October 2018. The sample includes all listed firms; intraday data chosen purposively from regular market are sorted by capitalization, which represents each tick size from the biggest to smallest. We run 3,065,835 intraday data of asking price, bid price, and trading price to get proportional quoted half-spread and proportional effective half-spread. We find evidence of adjusted friction on the three-factor model. High/low trading friction will cause a significant/insignificant return difference before and after adjustment. The difference in average beta that reflects market risk is able to explain the existence of trading friction, while the difference between SMB and HML in all observation periods cannot explain returns and the existence of trading friction.

In this paper, we have developed a Fama - French five factor model (FF5 model) from Fama & French (2015) by using concept of timevarying coefficient. For a data set, we have used monthly data form Kenneth R. French home page, it include Japan portfolios (classified by using size and book-to-market) and 5 factors from July 1990 to April 2020. The first analysis, we used Augmented Dickey-Fuller test (ADF test) for the stationary test, from the result, all Japan portfolios and 5 factors are stationary. Next analysis, we estimated a coefficient of Fama - French five factor model by using a generalized additive model with a thin-plate spline to create the time-varying coefficient Fama - French five factor model (TV-FF5 model). The benefit of this study is TV-FF5 model which can capture a different effect at different times of 5 factors but the traditional FF5 model can’t do it. From the result, we can show a time-varying coefficient in all factors and in all portfolios, for time-varying coefficients of Rm-Rf, SMB, and HML are significant for all Japan portfolios, time-varying coefficients of RMW are positively significant for SM, and SH portfolio and time-varying coefficients of CMA are significant for SM, SH, and BM portfolio.