• Korean Journal of Child Studies
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• v.27 no.6
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• pp.149-165
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• 2006

This study examined the relationships of parental behavior control recognized by children and its effect on children's emotional intelligence and conflict resolution strategies in their peer friendships. Subjects were 521 $5^{th}$, $6^{th}$ grade elementary school Children in seoul. Data were analyzed by Pearson's correlation, multiple regression and path analysis. Result showed that parents' control of children's behavior affected children's conflict resolution strategies in peer friendships and affected their emotional intelligence. Path analysis showed that control by parents, demand for maturity and clarity of communication directly affected compromising-integrating strategies. Parental control was affected directly by dominating strategies. Controlling behavior by demand of maturity, clarity of communication and nurture influenced compromising-integrating, avoidance and concession strategies of children's emotional intelligence.

• Journal of Information Technology Applications and Management
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• v.9 no.4
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• pp.151-164
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• 2002

This paper predicts how mobile Internet portal services will go ahead and what contents will be needed at the portal site. Mobile Internet interface needs to be concise and compressed because of the size of terminals Thus mobile internal service wants integrated portal service We study the service strategy for mobile internet portal Service according to the product life cycle Many Korean people who have used 'wired and fixed' Internet services and mobile phones want the mobile Internet portal to provide many attractive functions and high quality of service Thus we consider the current Korean mobile Internet service as the maturity phase of its life cycle The maturity phase needs the strategy of diversifying and focusing on, thus we recommend the hub portal model for Korean mobile Internet service, In this paper, we survey contents of mobile Internet portal service as a case study. With the result of the analysis, we present the promising contents as follows: video conference service, financial service, stock trading service, traffic information service, location map service, emergency rescue service, and so on.

• International conference on construction engineering and project management
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• 2009.05a
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• pp.754-757
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• 2009

The current concrete maturity method implemented with temperature sensors requires an extensive wiring, which is not often acceptable on construction site due to harsh working environment. Radio Frequency Identification (RFID) technology appears to provide a solution for the wiring issue because of its ability of sending data wirelessly. An RFID tag integrated with a temperature sensor and placed within fresh concrete may be able to read temperatures of concrete and transmit them to an RFID reader wirelessly in real-time. However the previous research illustrated that the RFID signal gets dispersed in liquid medium. One may speculate then whether RFID signals travel through fresh concrete with high water content. Would the tag's burying depth within fresh concrete affect its readability? The paper presents the preliminary results of our on-going investigation on the readability of RFID tags in concrete against water content and burying depth of tags.

• Asia pacific journal of information systems
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• v.23 no.2
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• pp.21-39
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• 2013

As the utilization of information technology and the turbulence of technological change increase in organizations, the adoption of IT outsourcing also grows to manage IT resource more effectively and efficiently. In this new way of IT management technique, service level management(SLM) process becomes critical to derive success from the outsourcing in the view of end users in organization. Even though much of the research on service level management or agreement have been done during last decades, the performance of the service level management process have not been evaluated in terms of final objectives of the management efforts or success from the view of end-users. This study explores the relationship between SLM maturity and IT outsourcing success from the users' point of view by a analytical case study in four client organizations under an IT outsourcing vendor, which is a member company of a major Korean conglomerate. For setting up a model for the analysis, previous researches on service level management process maturity and information systems success are reviewed. In particular, information systems success from users' point of view are reviewed based the DeLone and McLean's study, which is argued and accepted as a comprehensively tested model of information systems success currently. The model proposed in this study argues that SLM process maturity influences information systems success, which is evaluated in terms of information quality, systems quality, service quality, and net effect proposed by DeLone and McLean. SLM process maturity can be measured in planning process, implementation process and operation and evaluation process. Instruments for measuring the factors in the proposed constructs of information systems success and SL management process maturity were collected from previous researches and evaluated for securing reliability and validity, utilizing appropriate statistical methods and pilot tests before exploring the case study. Four cases from four different companies under one vendor company were utilized for the analysis. All of the cases had been contracted in SLA(Service Level Agreement) and had implemented ITIL(IT Infrastructure Library), Six Sigma and BSC(Balanced Scored Card) methods since last several years, which means that all the client organizations pursued concerted efforts to acquire quality services from IT outsourcing from the organization and users' point of view. For comparing the differences among the four organizations in IT out-sourcing sucess, T-test and non-parametric analysis have been applied on the data set collected from the organization using survey instruments. The process maturities of planning and implementation phases of SLM are found not to influence on any dimensions of information systems success from users' point of view. It was found that the SLM maturity in the phase of operations and evaluation could influence systems quality only from users' view. This result seems to be quite against the arguments in IT outsourcing practices in the fields, which emphasize usually the importance of planning and implementation processes upfront in IT outsourcing projects. According to after-the-fact observation by an expert in an organization participating in the study, their needs and motivations for outsourcing contracts had been quite familiar already to the vendors as long-term partners under a same conglomerate, so that the maturity in the phases of planning and implementation seems not to be differentiating factors for the success of IT outsourcing. This study will be the foundation for the future research in the area of IT outsourcing management and success, in particular in the service level management. And also, it could guide managers in practice in IT outsourcing management to focus on service level management process in operation and evaluation stage especially for long-term outsourcing contracts under very unique context like Korean IT outsourcing projects. This study has some limitations in generalization because the sample size is small and the context itself is confined in an unique environment. For future exploration, survey based research could be designed and implemented.

• Journal of the Korean Home Economics Association
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• v.36 no.11
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• pp.103-117
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• 1998

The purpose of this study was to investigate the relationships of home environments, personal factors on prosocial behaviors through analysis on children's sex and age. The data were collected by questionnaire method from 190 elementary school and 102 middle school children in Pusan. The instruments used are the child's prosocial behavior test on the basis of the self report scale by Yang, Jean Sook(1991). Frequency and regression analysis were applied for data analyses. The main results of the study were as follows; (1) Prosocial behaviors were directly influenced by home environments and personal factors on children's prosocial behaviors. Personal factors were stronger than home environments in influencing on children's prosocial behaviors. (2) Girl's prosocial behaviors were influenced by home economic level, parent's educational level, leaderships, the sphere of peer relations, popularity, prosocial behavior experience and maturity of prosocial motive. Boy's prosocial behaviors were influenced by leaderships, the sphere of peer relations, popularity, prosocial behavior experience and maturity of prosocial motive. (3) The effects of home environments and personal factors for prosocial behavior differed accoring to children's age. The more children aged, the less home environment & effective factors influenced.

• The Journal of the Convergence on Culture Technology
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• v.2 no.2
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• pp.9-15
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• 2016

Objectives : The purpose of this study to investigate the Critical Thinking disposition in Nursing College students and related to ability of basic nursing science. Methods : Data were collected from 36 students who were students belong to one of province University. The instrument used in this study was California Critical Thinking Disposition Inventory(CCTDI) by Facione & Facione. The instrument was composed of 7 sub-items, truth-seeking, analyticity, systematicity, open-mindness, critical thinking, self-confidence, inquisitiveness, and maturity. The data were analyzed by descriptive statistics, t-test, ANOVA, Pearson Correlations with SPSS 12.0. Results : The result of this study were as follow; The average of total score in critical thinking disposition was 44.8, which means middle level(below 40: low, above 50: high level). Maturity was the highest while open-mindness was the lowest with an average score 5.01. There was significant difference between critical thinking and basic nursing science grade while there was no difference between age, gender, and religion. There was strongly relation between critical thinking disposition and basic nursing science(F=2.84, p=.01). Conclusion : According to the results of this study, nursing curriculum should be considered critical thinking disposition.

• Journal of Korean Society for Quality Management
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• v.49 no.1
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• pp.61-79
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• 2021

Purpose: The purpose of this study is to study the relative weights of Quality Scorecard (QSC) which was developed for a new quality concept, called Open Quality, in the era of Industry 4.0. Open Quality aims to ensure quality responsibility by accurately measuring the quality level and sharing the quality data with stakeholders. Methods: To analyze the importance of QSC, a survey study was conducted based on 10 types of industry. The relative weights of QSC measures are investigated by both the industry types and the organizational life cycle. Further, the relative importance of QSC was analyzed according to the organization's lifecycle. By dividing the aspects with respect to the result data, application method for QSC is further provided. Results: The result indicates that there are significant differences among Korean companies in terms of the level of Industry revolution stages. Among ten industry types, manufacturing and finance sectors show the highest importance of QSC. QSC measures are also considered more importance in growth stage of the maturity cycle than generator and decline stages. Conclusion: When QSC is adopted for Open Quality, its relative weights must be considered to cope with the unique characteristics of industrial types. Besides, QSC's contribution may vary according to the level of maturity of the target company.

• Journal of the Korean Society of Clothing and Textiles
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• v.41 no.2
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• pp.378-391
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• 2017

The application of Big Data has been introduced to the Korean fashion industry; however, the literature has not yet investigated how well high technologies are being perceived and adopted by the practitioners of fashion companies. Recognizing the lack of research, the current research explores how big data analysis has been adopted by fashion practitioners based on the Technology Acceptance Model (TAM) that considers the effect of organizational characteristics (i.e., innovation, slack, and IS infra maturity). First, all TAM relationships were accepted as significant; however, the effect of perceived ease of use on the attitude toward big data was greater than perceived usefulness. Regarding organizational characteristics, while organization innovation had positive impacts on perceived usefulness as well as perceived ease of use, organization slack did not show significant and positive influence on perceived ease of use only. On the other hand, IS infra maturity had a negative effect on perceived usefulness while it did not have any significant impact on perceived ease of use. Finally, the level of perceived usefulness is decreasing as the IS infra of the fashion organization becomes more mature. With the results, the study suggested that fashion industry needs more education on the usage of big data analysis systems and development in related analysis tools.

• Journal of Information Technology Applications and Management
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• v.15 no.3
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• pp.27-41
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• 2008

This paper examines the relationship between IT investment and the improvement of efficiency from the perspective of organizational contingency by the type of organizations and their maturity in IT use in terms of their history of e-commerce use. Organizations are divided into private and public in nature, and into experienced and inexperienced in e-commerce. An analysis was performed on data from 286 organizations in tourism industry. Comparison among the four groups showed differences in competitive and operational efficiency.

• Korean Journal of Remote Sensing
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• v.33 no.5_2
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• pp.699-708
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• 2017

The present study was to develop an approach for predicting soybean yield using a crop growth simulation model at the regional level where the detailed and site-specific information on cultivation management practices is not easily accessible for model input. CROPGRO-Soybean model included in Decision Support System for Agrotechnology Transfer (DSSAT) was employed for this study, and Illinois which is a major soybean production region of USA was selected as a study region. As a first step to predict soybean yield of Illinois using CROPGRO-Soybean model, genetic coefficients representative for each soybean maturity group (MG I~VI) were estimated through sowing date experiments using domestic and foreign cultivars with diverse maturity in Seoul National University Farm ($37.27^{\circ}N$, $126.99^{\circ}E$) for two years. The model using the representative genetic coefficients simulated the developmental stages of cultivars within each maturity group fairly well. Soybean yields for the grids of $10km{\times}10km$ in Illinois state were simulated from 2,000 to 2,011 with weather data under 18 simulation conditions including the combinations of three maturity groups, three seeding dates and two irrigation regimes. Planting dates and maturity groups were assigned differently to the three sub-regions divided longitudinally. The yearly state yields that were estimated by averaging all the grid yields simulated under non-irrigated and fully-Irrigated conditions showed a big difference from the statistical yields and did not explain the annual trend of yield increase due to the improved cultivation technologies. Using the grain yield data of 9 agricultural districts in Illinois observed and estimated from the simulated grid yield under 18 simulation conditions, a multiple regression model was constructed to estimate soybean yield at agricultural district level. In this model a year variable was also added to reflect the yearly yield trend. This model explained the yearly and district yield variation fairly well with a determination coefficients of $R^2=0.61$ (n = 108). Yearly state yields which were calculated by weighting the model-estimated yearly average agricultural district yield by the cultivation area of each agricultural district showed very close correspondence ($R^2=0.80$) to the yearly statistical state yields. Furthermore, the model predicted state yield fairly well in 2012 in which data were not used for the model construction and severe yield reduction was recorded due to drought.