• Management & Information Systems Review
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• v.26
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• pp.91-116
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• 2008

This study demonstrates some major traits of digital contents as information, playfulness, individuality, as satisfaction and commitment, user behavior as use intention. To make an empirical analysis the study, it is hypothesized that traits of digital contents, relationship quality, and user behavior. The major finding of this study can be summarized as follows, traits of digital contents are positively affected by satisfaction in relationship quality and use intention. Theoretical implication of this study are as follows. First, users wanted to choice only needed information. Second, users recognized digital contents as a part of life. So, user's ability is very important in this environment. According to this, business related with or interested in digital contents must have developed digital contents in variety aspect. Users must have concerned using digital contents, also.

• Journal of the Ergonomics Society of Korea
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• v.31 no.5
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• pp.695-704
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• 2012

Objective: The purpose of this study was to investigate major factors influencing adoption of smartphone to promote its use by older adults. Background: Despite increasing proportion of elderly people and elderly market, the proportion of elderly smartphone user is still relatively small compared to whole smartphone users. Thus, we need to find out major factors influencing adoption of smartphone to increase proportion of elderly smartphone users. Method: Seven major factors were extracted from 36 survey questions using factor analysis. Regression analysis was also applied to determine specific factors affecting intention of use based on user versus non-user of smartphone, age, gender, and educational background. Results: As results of factor analysis and regression analysis, major factors influencing adoption of smartphone for elderly users were significantly different according to gender, age, educational background based on smartphone users or non-users. Conclusion: The result of this study identified major factors influencing adoption of smartphone for the elderly and provided basic information related to adoption of smartphone according to elderly people's characteristics. Consequently, we can expect to reduce the information gap and to improve quality of life for the elderly. Application: The development and marketing strategy could be applied differently based on the factors influencing adoption of smartphone. It is also possible to develop a prediction model for smartphone adoption according to elderly users' characteristics.

• ETRI Journal
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• v.31 no.1
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• pp.51-61
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• 2009

We present a unified explanation of the internationalization strategies of major mobile network operators (MNOs). We have developed a framework that analyzes the strategies of major international MNOs in terms of the relationship between their degree of involvement in international business operations and the degree of equity participation. The results show a positive association between these two dimensions as expected, but they also reveal some exceptional cases in which certain MNOs are actively involved in the business operations of other foreign MNOs, even with minor (or zero) equity investments. In this paper, we argue that the strategic actions of the major MNOs which are the largest shareholders of foreign MNOs are in an equilibrium status because these major MNOs derive maximum benefit from full or considerable management control and active involvement. Finally, we predict that latecomers (MNOs who are just about to enter foreign telecommunications markets) may adopt an incremental investment approach because most developed markets and deregulated emerging markets with growth potential are already preempted by major MNOs. Therefore, the window of opportunity for internationalization in those markets is currently small.

• Proceedings of the Korea Information Processing Society Conference
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• 2017.11a
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• pp.1169-1172
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• 2017

스마트 거울은 다양한 IT기술을 활용하여 다양한 정보를 제공해 주는 거울이다. 그러나 기존의 스마트 거울은 단순한 정보만을 제공하거나 기존 정보 시스템에 답습에 그치고 있다. 본 논문에서는 기존 스마트 거울의 기능과 함께 사용자 맞춤형 스타일링 가이드 모드를 최적화한 Iot 기반 스마트 거울 시스템을 제안한다. 제안하는 시스템의 스타일링 가이드모드는 헤어 스타일링 방법 추천과 메이크 업 방법 추천, 퍼스널 컬러를 이용한 화장품 색상 추천 등의 다양한 기능을 제공하여 거울의 본질을 극대화 할 수 있도록 한다. 제안 시스템은 스마트 거울이 갖추어야 할 날씨 정보, 대중교통 도착정보, 길찾기, 일정 관리, 사진 촬영 등의 일반적인 기능을 제공한다. 이를 바탕으로 사용자에게 새로운 스타일링의 접근성과 활용성을 높이고, 다양한 미디어 정보를 통한 정보 활용과 외출 시간을 단축하는 새로운 스마트 거울 시스템을 제안한다.

• Korean Journal of Occupational Health Nursing
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• v.23 no.3
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• pp.146-153
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• 2014

Purpose: This study examined to explore factors influencing on employment stress of university students. Methods: The data were collected by structured questionnaires to students who agreed to be the subjects of this study. And 230 cases were finally analyzed. T-test, one-way ANOVA, Pearson's correlation coefficients, and multiple regression were conducted for data analysis using SPSS/WIN 18.0. Results: Significant differences revealed in age, department of major, residental type and school year on employment stress by general characteristics. Also, employment stress showed negative correlation with self-esteem, and satisfaction in major. Self-esteem and satisfaction in major, department of major were confirmed as a factors influencing on employment stress and accounted for 36% of the variance. Conclusion: Further studies that discover factors influencing on employment stress of university students are needed, and also practical programs are necessary to decrease employment stress of university students.

• Journal of the Korea Society of Computer and Information
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• v.20 no.10
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• pp.133-140
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• 2015

In this paper, I propose some policy and theoretical implications by analyzing moderating effects of volunteering activity in the causal relationships between social welfare major choice and their job choice. For the purpose of the goal of this study, I surveyed 242 university students in 2~4 grades majoring social welfare in Gwangju and South and North Jeolla Province. Analysis results showed that the personal motive on choosing a major affects the occupational aptitude & interests and economic feasibility of career when they choose their jobs. However, the social motive didn't affect the occupational aptitude & interests and economic feasibility of career. It means that they didn't choose their majors considering their aptitude & interests, but chose them by following the advice of the surrounding people. Also, moderating effects of volunteering activity was not significant, which means that volunteering period and schedules are too short and tend to be operated as a mere formality. This study suggests the policy implications so that they have the correct major selection and career options based on the analysis results.

• Journal of Korea Society of Digital Industry and Information Management
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• v.17 no.3
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• pp.1-7
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• 2021

The number of new students at many domestic universities is declining. In particular, private universities, which are highly dependent on tuition, are experiencing a crisis of existence. Amid the declining school-age population, universities are striving to fill new students by improving the quality of education and increasing the student employment rate. Recently, there is an increasing number of cases of using the accumulated big data of universities to prepare measures to fill new students. A representative example of this is the analysis of factors that affect student employment. Existing employment-influencing factor analysis studies have applied quantitative models such as regression analysis to university big data. However, since the factors affecting employment differ by major, it is necessary to reflect this. In this paper, the factors affecting employment by major are analyzed using the data of University C and the decision tree model. In addition, based on the analysis results, a roadmap for student employment by major is recommended. As a result of the experiment, four decision tree models were constructed for each major, and factors affecting employment by major and roadmap were derived.

• Journal of Korea Society of Digital Industry and Information Management
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• v.15 no.3
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• pp.149-173
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• 2019

Software education is inevitable for the success of the Fourth Industrial Revolution, and university education also requires innovation to cope with revolutionary change of the society. The number of students seeking employment in the IT field is steadily increasing regardless of the major of the student. However, the existing software-related courses offered by universities or private educational institutions are limited. This paper analyzes the existing software curriculum of several major universities for non-IT major students. In addition, in-depth surveys by students at Seoul Theological University is conducted to figure out the demand for the advanced level computer science subjects. Finally, new software education curriculum is proposed to fulfill the needs of non-IT major students and to improve the employment rate of non-IT major students seeking tech companies. The new curriculum will help to cultivate intermediate level IT experts that bridge the gap between advanced level IT experts and primitive level computer technicians.

• The Journal of Information Systems
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• v.30 no.3
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• pp.177-199
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• 2021

Purpose This study explores the development direction of the artificial intelligence curriculum as a universal education that enhances the ability of college students to flexibly use artificial intelligence these days, where artificial intelligence education is spreading, and the educational components based on this are subdivided according to the characteristics of each major. Design/methodology/approach In order to develop the educational purpose of the subject and the detailed educational curriculum suitable for the subject of education, we first analyzed domestic and foreign prior research related to artificial intelligence liberal arts education. As the main components derived by experts, the basic concept of artificial intelligence converges to literacy to read and write for everyday problem solving, as well as problem-solving ability to manipulate real data and software. Findings The results showed that In the artificial intelligence literacy module, trends and prospects of artificial intelligence and necessary competencies were checked, and cases applied to major fields were examined. In the AI utilization and application part, basic data analysis items and content composition were composed through creative thinking, logical thinking, and intelligence. In order to design the curriculum, a software development language suitable for each major area was first selected, and AI education content areas, elements, and packages were defined and designed for each major area to meet the objectives of the subject.

• Journal of the Korea Society of Computer and Information
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• v.28 no.5
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• pp.113-120
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• 2023

This study attempted to find out the factors influencing the formation of nursing professionalism in nursing students. As for the research method, a structured self-report questionnaire was surveyed for 3rd year nursing students (n=169) at K University, and the collected data were analyzed using the SPSS/WIN 25.0 program. The results of the study showed that major satisfaction, nurse image, clinical practice education environment, and clinical practice belonging showed a statistically significant positive correlation with nursing professional intuition, and major satisfaction had the greatest effect on nursing professionalism. Therefore, in order to form a positive nursing professional intuition, it is required to develop and apply various and systematic educational programs to increase major satisfaction.