• Journal of Korea Society of Industrial Information Systems
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• v.22 no.4
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• pp.79-95
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• 2017

This Study Investigates Whether R&D Capabilities and Market Orientation have Significant Effects on Product Innovation Performance in Order to Enhance Customer Value and Technology Innovation Competitiveness Considering the Characteristics of Rapidly Changing Semiconductor Industry. In other Words, as in the Research Model, the Purpose of this Study is to Investigate the Causal Relationship between the Independent Variable, R&D Capability and Market Orientation, on Product Innovation Performance, which is a Dependent Variable, through the Moderating Variable of Technological Innovation Orientation. For this Study, we Conducted a Questionnaire Survey on the Employees of Development Companies in the Semiconductor Industry and Finally Collected 118 Valid Questionnaires. The Collected Data was Analyzed by Multiple Regression Analysis with Demographic Characteristics as Control Variable and Hierarchical Regression Analysis was Conducted with the Moderating Effects of Technological Innovation Orientation. The Results Showed that the Higher the R&D Intensity and the External Network Capacity, the Higher the Product Innovation Performance. Also, the Product Innovation Performance was Higher than the Customer Orientation and Competitor Orientation Among the Market Orientation. In Addition, only R&D Capability Confirms that Technology Innovation Orientation is Moderated. The Result of this Study is to Improve Understanding of R&D Capability and Market Orientation in Creating of Product Innovation Performance of Semiconductor Companies and to offer Valuable Research Data in Empirically Supporting that Technological Innovation Orientation is an Important Moderating Factor in Creating Firm's Product Innovation Performance and Sustainable Competitive Advantage.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.18 no.2
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• pp.681-688
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• 2017

This study examined the relationship between the cabin crew images and the airline employment decisions. The aim was to target college students to prepare for employment in airlines. The survey was conducted to achieve the research objectives using SPSS 20.0 based on 342 questionnaires. In addition, frequency analysis, factor analysis, reliability analysis, Correlation Analysis, and regression analysis were performed. The cabin crew image of the customer orientation and fashion affects the airline employment decisions of the students. The cabin crew image of professional expertise and appearance affect the airline employment decisions of the trust. The cabin crew image of customer orientation, fashion, and appearance affects the airline employment decisions of the students. Overall, the job must first be an understanding of the airline and it is necessary to consider a career professional approach. In addition, there is a need to recognize human services that emphasize the customer orientation factors of the crew.

• Journal of the Korean Applied Science and Technology
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• v.38 no.4
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• pp.1093-1106
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• 2021

This study attempted to investigate the influence of a beauty influencer's characteristics on makeup behavior and color cosmetics purchase intention against young female consumers in their 20-30s, who are a primary target for beauty influencer marketing. It aimed to provide basic data which are helpful in promoting marketing and expanding markets for color cosmetics through beauty influencers. For this, a questionnaire survey was conducted. Among a total of 563 questionnaires distributed across Seoul and capital region, 531 copies were used for final analysis, and the results found the followings: In terms of age, factors affecting beauty influencers' characteristics differed depending on reliability and expertise. Specifically, reliability and communicative competence had a positive effect(+) on all makeup behavior while expertise revealed a positive influence on base makeup only. In color cosmetics purchase intention, a positive effect was observed in reliability, communicative competence and attractiveness. In particular, reliability showed the largest influence. Therefore, there should be continued efforts to maintain a long-term relationship with consumers through communication based on beauty influencers' characteristics and by delivering more diverse makeup and color cosmetics-related information in an open and honest fashion.

• Korean Journal of Remote Sensing
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• v.37 no.6_2
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• pp.1881-1890
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• 2021

Particulate matter (PM) affects the human, ecosystems, and weather. Motorized vehicles and combustion generate fine particulate matter (PM_2.5), which can contain toxic substances and, therefore, requires systematic management. Consequently, it is important to monitor and predict PM_2.5 concentrations, especially in large cities with dense populations and infrastructures. This study aimed to predict PM_2.5 concentrations in large cities using meteorological and chemical variables as well as satellite-based aerosol optical depth. For PM_2.5 concentrations prediction, a random forest (RF) model showing excellent performance in PM concentrations prediction among machine learning models was selected. Based on the performance indicators R², RMSE, MAE, and MAPE with training accuracies of 0.97, 3.09, 2.18, and 13.31 and testing accuracies of 0.82, 6.03, 4.36, and 25.79 for R², RMSE, MAE, and MAPE, respectively. The variables used in this study showed high correlation to PM_2.5 concentrations. Therefore, we conclude that these variables can be used in a random forest model to generate reliable PM_2.5 concentrations predictions, which can then be used to assess the vulnerability of schools to PM_2.5.

• Journal of Digital Convergence
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• v.19 no.3
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• pp.55-64
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• 2021

Public libraries are a space where residents learn a wide range of knowledge and ideologies, and as they are directly connected to life, various related studies have been conducted. In most previous studies, variables such as population, traffic accessibility, and environment were found to be highly relevant to library use. In this study, it can be said that the difference from previous studies is that the book borrow demand and relevance were analyzed by reflecting the variables of cultural characteristics based on the book borrow history (1,820,407 cases) and member information (297,222 persons). As a result of the analysis, it was analyzed that as the increase in borrows for social science and literature books compared to technical science books, the demand for book borrows increased. In addition, various descriptive statistical analyzes were used to analyze the characteristics of library book borrow demand, and policy implications and limitations of the study were also presented based on the analysis results. and considering that cultural characteristics change depending on the location and time of day, it is believed that related research should be continued in the future.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.21 no.12
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• pp.719-730
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• 2020

This study examined the degree and relations of stroke literacy, health literacy, stroke knowledge, and self-management to identify the significant determining factors affecting stroke prevention among middle-aged and older adults with a high incidence of stroke. Data on the sociodemographic characteristics, stroke literacy, health literacy, stroke knowledge, and self-management of 198 participants were collected from December 5, 2019, to March 31, 2020, using a structured questionnaire. The data were analyzed using the SPSS/WIN 23.0 program. The determining factors affecting self-management in middle-aged and older adults were age (β=.190. p=.015), followed in order by smoking (β=-.226, p=.001), self-rated health status (β=.297, p<.001), and stroke knowledge (β=-.168, p=.014); the explanation power was approximately 20.3%. The results suggest that the self-rated health status and stroke knowledge should be considered when developing nursing interventions to improve self-management among middle-aged and older adults. Furthermore, it will be necessary to find the intervening variable between stroke knowledge and self-management for community-dwelling middle-aged and older adults in the community. Overall, these findings underscore the importance of systematic and ongoing education on stroke prevention.

• Journal of the Korean BIBLIA Society for library and Information Science
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• v.32 no.1
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• pp.295-314
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• 2021

The purpose of this study is to find out the factors that affect the 'public librarian servant's' Collective Self-Esteem (CSE) in Korean relation-oriented collectivism. The research was organized into a research model by setting up a hypothesis on the impact relationship the between the group Collective self-esteem, the work environment factors and cognition of Superior institution of the Public librarian servant. The relevant data collection was conducted for public librarian servant working in public libraries nationwide through the method of survey. From April 3, 2020 to May 14, 2020, it was conducted for Public Librarian Servant in public libraries nationwide with Civil Service System, Office of Education, Ministry of Culture·Sports and Tourism based on responses for 301 Public Librarian Servant from 559 institution. According to the analysis, the cognition of the superior institution of Public Librarian Servant influences the cognition of Collective Self-Esteem among the sub-factors of Collective - Self - Esteem of Collective Self-Esteem. This study is meaningful in that 'Public Librarian Servant' who was treated as an individual entity in the study of Library and Information Science study, as being has relationship with various groups and is dealt with multi-dimensionally in Korean relation-oriented collectivism culture. Research suggests that when Public Librarian Servant exist as one of the subordinate organizations to vast Civil service system, it suggest that Public Librarian Servants should find out a balance for improve their relatively low social values.

• Information Systems Review
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• v.20 no.2
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• pp.1-19
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• 2018

In many countries, governments invest a substantial amount of budget in open government data (OGD) for governmental performance and transparency. To understand the actual performance of such policies, the governments should measure the realized value. Many organizations and researchers have attempted to assess the value of OGD. However, they have neglected a perspective of consumers who benefit from OGD. Moreover, little research has quantified the economic value. This research examines extant methods of intangible asset valuation to quantify the economic value of OGD in a citizen perspective. In consideration of the extant research methods and the characteristics of OGD, the contingent valuation method is the most appropriate because it effectively reflects various users and their purpose of use. We then conduct a survey of citizens living in Seoul, Korea and assess the economic value of OGD provided by the Seoul government. Findings show that citizens' willingness to pay (WTP) differs across respondents' prior experience, tax resistance, perceived benefit and perceived reality of virtual scenario, but it does not differ across their demographics. WTP also significantly varies across the question formats. We discuss the reliability of the results and implications for future research.

• Journal of Intelligence and Information Systems
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• v.18 no.4
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• pp.19-42
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• 2012

Consumer consumption patterns are shifting rapidly as buyers migrate from offline markets to e-commerce routes, such as shopping channels on TV and internet shopping malls. In the offline markets consumers go shopping, see the shopping items, and choose from them. Recently consumers tend towards buying at shopping sites free from time and place. However, as e-commerce markets continue to expand, customers are complaining that it is becoming a bigger hassle to shop online. In the online shopping, shoppers have very limited information on the products. The delivered products can be different from what they have wanted. This case results to purchase cancellation. Because these things happen frequently, they are likely to refer to the consumer reviews and companies should be concerned about consumer's voice. E-commerce is a very important marketing tool for suppliers. It can recommend products to customers and connect them directly with suppliers with just a click of a button. The recommender system is being studied in various ways. Some of the more prominent ones include recommendation based on best-seller and demographics, contents filtering, and collaborative filtering. However, these systems all share two weaknesses : they cannot recommend products to consumers on a personal level, and they cannot recommend products to new consumers with no buying history. To fix these problems, we can use the information which has been collected from the questionnaires about their demographics and preference ratings. But, consumers feel these questionnaires are a burden and are unlikely to provide correct information. This study investigates combining collaborative filtering with the centrality of social network analysis. This centrality measure provides the information to infer the preference of new consumers from the shopping history of existing and previous ones. While the past researches had focused on the existing consumers with similar shopping patterns, this study tried to improve the accuracy of recommendation with all shopping information, which included not only similar shopping patterns but also dissimilar ones. Data used in this study, Movie Lens' data, was made by Group Lens research Project Team at University of Minnesota to recommend movies with a collaborative filtering technique. This data was built from the questionnaires of 943 respondents which gave the information on the preference ratings on 1,684 movies. Total data of 100,000 was organized by time, with initial data of 50,000 being existing customers and the latter 50,000 being new customers. The proposed recommender system consists of three systems : [+] group recommender system, [-] group recommender system, and integrated recommender system. [+] group recommender system looks at customers with similar buying patterns as 'neighbors', whereas [-] group recommender system looks at customers with opposite buying patterns as 'contraries'. Integrated recommender system uses both of the aforementioned recommender systems to recommend movies that both recommender systems pick. The study of three systems allows us to find the most suitable recommender system that will optimize accuracy and customer satisfaction. Our analysis showed that integrated recommender system is the best solution among the three systems studied, followed by [-] group recommended system and [+] group recommender system. This result conforms to the intuition that the accuracy of recommendation can be improved using all the relevant information. We provided contour maps and graphs to easily compare the accuracy of each recommender system. Although we saw improvement on accuracy with the integrated recommender system, we must remember that this research is based on static data with no live customers. In other words, consumers did not see the movies actually recommended from the system. Also, this recommendation system may not work well with products other than movies. Thus, it is important to note that recommendation systems need particular calibration for specific product/customer types.

• Journal of Internet Computing and Services
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• v.18 no.1
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• pp.105-119
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• 2017

Smartphone users hit over eighty-five percentage of Korean populations and personal private items and various information are stored in each user's smartphone. There are so many cases to propagate malicious codes or spywares for the purpose of catching illegally these kinds of information and earning pecuniary gains. Thus, need of information security is outstanding for using smartphone but also user's security perception is important. In this paper, we investigate about how information security affects smartphone operating system choices by users. For statistical analysis, the online survey with questionnaires for users of smartphones is conducted and effective 218 subjects are collected. We test hypotheses via communalities analysis using factor analysis, reliability analysis, independent sample t-test, and linear regression analysis by IBM SPSS statistical package. As a result, it is found that hardware environment influences on perceived ease of use. Brand power affects both perceived usefulness and perceived ease of use and degree of personal risk-accepting influences on perception of smartphone spy-ware risk. In addition, it is found that perceived usefulness, perceived ease of use, degree of personal risk-accepting, and spy-ware risk of smartphone influence significantly on intention to purchase smartphone. However, results of independent sample t-test for each operating system users of Android or iOS do not present statistically significant differences among two OS user groups. In addition, each result of OS user group testing for hypotheses is different from the results of total sample testing. These results can give important suggestions to organizations and managers related to smartphone ecology and contribute to the sphere of information systems (IS) study through a new perspective.