• 한국IT서비스학회지
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• 제14권1호
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• pp.41-51
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• 2015

The purpose of this research is to investigate the relationship between job creation and ICT usage in service industries. This research is particularly important because job creation is one of the most critical issues for the country. With technology innovation and system integration, manufacturing industries do not create enough employment, therefore, the society relies on service industries for creating job opportunities. Until now, due to limitations, analysis of job creation in service industries through ICT usage has not been investigated in depth. Thus, development of an effective ICT support policy was impossible. In this research, we used seven methods to investigate overall relationship between ICT usage level and job creation. A rule of large numbers has been applied to reach conclusion. Through this research, the government can focus its investment on service industries where job creation rate is the highest. We can expect both reinforcement in competitiveness of our service industry and continuous creation in employment, eventually leading to a virtuous cycle.

• 한국컴퓨터정보학회논문지
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• 제21권3호
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• pp.73-81
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• 2016

With the increasing popularity of social network services (SNSs), there have been many attempts to analyze the users of SNSs. By doing so, the characteristics and preferences of the users can be understood, which can help companies provide personalized information and services that they need or are relevant for them. This study aimed to analyze the usage behavior of Korean Twitter users from various perspectives to deepen the understanding of it. For this research goal, an online survey was conducted for the users of Twitter and the data about their actual usage were collected using the open API of Twitter. Factor analysis of the data revealed five factors that explain about 69.3% of the usage variables. It was also investigated how the factors are related to gender, age, and brand preferences. The results showed that the usage behavior of Twitter is largely affected by age (p<0.001), and also by gender through an interaction effect (p<0.05). Also, the factors showed significant statistical correlations with the brand preferences of the users.

• Journal of Information Technology Applications and Management
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• 제22권2호
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• pp.95-112
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• 2015

Spread of internet service had a huge effect on usage and spread of SNS world widely. Variety of the service has increased from human network managing to commerce, education, payment method and so on. Also, it is expanding its service territory to not only PC area but also that of mobile equipment with development of information technology. Spread of use on SNS provides existing corporations the expansion of service area. Late SNS starter companies are advancing in diverse way for attracting users by serving shopping, games and other services with association with SNS. Therefore, analysis on consumers' thought and pattern which analyze users' demand, service's function and contents and other factors in order to reflect on plans and operations of SNS is needed. On this perspective, this research is suggesting properties that are crucially related to sustained usage of SNS and study factors of SNS's characteristics that influence trust and satisfaction on SNS and continuous usage intent of SNS.

• Journal of Information Technology Applications and Management
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• 제11권3호
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• pp.89-116
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• 2004

Insurance companies are in a fierce race to catch a new customer. In this situation. sales force automation technologies are often used to support customer relationship management strategies. This study sets out a research model predicting SFA(Sales Force Automation) usage through theoretical studies. Survey data were collected from 145 salespeople across 2 firms that had implemented sales force automation tools and hypotheses were tested empirically. Data were analyzed by path-analysis method of AMOS. The major findings of this study are as follows: Computer self-efficacy, user involvement and voluntariness have a statistically significant influence on the positive perceptions of SFA. These perceptions have a statistically significant influence on user satisfaction and usage of SFA. while user satisfaction has a statistically significant influence on SFA usage. This paper concludes with the discussion of these results and their implications for academic researchers and insurance company managers.

• 한국산업정보학회:학술대회논문집
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• 한국산업정보학회 2008년도 추계 공동 국제학술대회
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• pp.301-306
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• 2008

The World Wide Web (WWW) has continued to grow at very rapid speed in both the sheer volume of traffic and size and the complexity of Web sites. Web Analytics Industry also has been growing rapidly. Web Analytics is to analyze web log files to discover accessing patterns of web pages. In this paper, we identify factors which can affect the continuous usage intention of a firm using services in web analytics services and empirically validate the relationships between the identified factors. For this purpose, we analyze 174 Korea firms. The analysis results show that the satisfaction is significantly associated with service quality and switching cost and the service usage period is not significantly associated with continuous service usage intention. We measure the service quality using SERVQUAL. It turn out that two dimensions of SERVQUAL, reliability and empathy are significantly associated with satisfaction, but another dimension of SERVQUAL, responsibility, is not. Finally, satisfaction is significantly associated with continuous service usage intention.

• 대한가정학회지
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• 제41권4호
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• pp.45-56
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• 2003

The purpose of this study was to segment consumers based on sales promotion orientation and examine the differences between the consumer segments on shopping behaviors and promotion usage behaviors. A total of 462 responses collected from a questionnaire survey to subjects aged over 20s were analyzed. Cluster analysis on sales promotion orientation identified four groups including rational group(21%), active group(28％), insensitive group(22.1%), and interest group(28.9%) of sales promotion. ANOVA revealed significant differences among the four groups on shopping behaviors(information seeking, store visit, and clothing purchase) and promotion usage behaviors(the usage level of sales promotion, impulse buying, brand switching, and store switching). The active and interest groups were more actively seeking information than the other two groups were. The active group was most affected by sales promotion showing the highest impulse buying and brand and store switching behaviors, and the interest group was most active on store visit and clothing purchase. The insensitive group was the least engaged in all the behaviors.

• 한국건축시공학회:학술대회논문집
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• 한국건축시공학회 2023년도 봄 학술논문 발표대회
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• pp.215-216
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• 2023

As the introduction of new climate system, efforts to change carbon neutrality, efforts to convert carbon neutrality. In Korea, we are setting up carbon emissions through greenhouse gas and energy target management system for business and companies that emit carbon emissions. The construction industry quantitatively predict the carbon emissions, but it is struggling to set up the amount of carbon emissions before construction stage, but it is suffering from lack of data. Therefore, this study was conducted by collecting data on the energy usage amount of carbon emissions according to the energy usage of the construction phenomenon and low-capacity prediction of the construction phenomenon. Through collected data, the average energy usage amount by building users and evaluated the average carbon emissions. It also evaluated the contribution of carbon emissions by energy sources.

• 국제학술발표논문집
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• The 4th International Conference on Construction Engineering and Project Management Organized by the University of New South Wales
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• pp.286-291
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• 2011

Onsite usage of construction equipment accounts for a 6.8% of air pollution in Korea. The high concentration of carbon dioxide in such emissions impact not only climate change, but also people's health. However, greenhouse gas emissions from onsite equipment usage have not yet been fully investigated. This study presents a comparative analysis on how much greenhouse gas is generated by various equipment types used in different construction activities. Two ongoing cases which involve a typical road construction project in Korea were selected for the comparison purpose. Greenhouse gas emissions from each onsite equipment usage of the different activities were estimated on the ground of design documents. The estimates were compared and analyzed to derive the main sources of greenhouse gas emissions. The result showed that earthwork constituted the largest part-more than 90%-among work types. Dump truck, bulldozer, and loader were major sources for such emissions. The study results are expected to be used as a basis for reduction of greenhouse gas emission from onsite equipment usage.

• 한국산업융합학회 논문집
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• 제26권3호
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• pp.433-442
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• 2023

The purpose of this study is to reveal the Korean learners' usage pattern of '의', the genitive particle, according to semantic classification, so that it can be referred to in determining the contents and methods of related education. The method of this study adopts a quantitative analysis using learners corpus established by National Institute of Korean Language. As a result of the analysis, as proficiency increases, the overall frequency of '의' increases and the number of meaning senses used increases. However, the frequency of errors also increases with it. As for the usage pattern of each sense, the meaning of 'ownership, belonging' is the most frequent, and followed by 'acting entity', 'kinship, social relations', and 'relationship(area)'. In conclusion, the meanings of 'acting subjects' and 'relationships(area) need to be supplemented with explicit education. Other meanings need to be discussed, and decisions should be made in consideration of learning purpose and proficiency.

• Nuclear Engineering and Technology
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• 제55권7호
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• pp.2670-2677
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• 2023

In the nuclear safety studies, a new trend refers to the evaluation of uncertainties as a mandatory component of best-estimate safety analysis which is a modern and technically consistent approach being known as BEPU (Best Estimate Plus Uncertainty). The major objectives of this study consist in performing a study of uncertainties/sensitivities of the major analysis results for a generic CANDU 6 Nuclear Power Plant during Station Blackout (SBO) progression to understand and characterize the sources of uncertainties and their effects on the key figure-of-merits (FOMs) predictions in severe accidents (SA). The FOMs of interest are hydrogen mass generation and event timings such as the first fuel channel failure time, beginning of the core disassembly time, core collapse time and calandria vessel failure time. The outcomes of the study, will allow an improvement of capabilities and expertise to perform uncertainty and sensitivity analysis with severe accident codes for CANDU 6 Nuclear Power Plant.