• Title/Summary/Keyword: social factors

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The Effects of Avatar Identification on Immersion, Brand Loyalty, and Purchase Intention of Brand Items in the Metaverse (메타버스 내 몰입이 아바타 동일시, 브랜드 충성도, 브랜드 아이템 구매의도에 미치는 영향)

  • Ji-yeon Eom;Yeong-woo Lim;Kee-young Kwahk
    • Information Systems Review
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    • v.26 no.2
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    • pp.1-22
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    • 2024
  • This study aims to empirically analyze the usage behavior of metaverses, which have recently attracted attention in various fields. To date, research on metaverses has focused on the concept, direction of utilization, development prospects, and technical aspects. However, there is a lack of research on the characteristics of metaverses and the behavior of users. As the metaverse develops with new content, there is a need to understand user behavior and content characteristics. In this study, we surveyed 375 adult males and females who experienced metaverse, and analyzed the impact of metaverse usage behavior on brand loyalty and item purchase intention based on 350 samples after excluding non-responses. The collected data were cleaned and statistically analyzed using SPSS 25.0 and SmartPLS 4.0. The results showed that the usage behavior factors such as immersion, vicarious satisfaction, and avatar identification have a positive effect on brand loyalty and intention to purchase branded items. These findings help to understand the concept and development direction of metaverse, and are expected to make important contributions to the field of brand marketing strategy formulation and metaverse-related user behavior research.

Cyberbullying Victimization Experience on SNSs: Focusing on Self-disclosure, Compulsive Internet Use, and Depressive Status (SNS상에서 사이버불링 피해경험: 자기노출, 강박적 인터넷 사용 그리고 우울한 상태 중심으로)

  • Jooyeon Won;DongBack Seo
    • Information Systems Review
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    • v.26 no.1
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    • pp.219-249
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    • 2024
  • Cyberbullying has become a critical issue as people (especially, young people) daily use social networking sites (SNSs). This study investigates possible factors affecting cyberbullying victimization experiences, comparing SNS users in Austria and Korea. Particularly, this study focuses on how individuals' self-disclosure patterns, compulsive Internet use, and depressive status are related to four different types of cyberbullying victimization experiences (written-verbal, visual, exclusion, and impersonation). Furthermore, the results are compared between SNS users in Austria and Korea. Results from total 519 respondents show that self-disclosure patterns on SNSs, compulsive Internet use, and depressive status are positively related to different types of cyberbullying victimization experiences. However, there are differences between Austria and Korea. For example, the frequency of changing one's profile setting is positively related to all types of cyberbullying victimization experiences in Korea, while it is only positively related to victimization experience of visual cyberbullying in Austria. Depressive status is only positively related to victimization experience of written-verbal cyberbullying in Korea, while it is positively related to all types of cyberbullying victimization experience in Austria.

Fundamental research to investigate methods of vocational competency enforcement in field of home economics education - revision of the current NCS based vocational highschool education curriculum and investigation in change of direction in vocational home economics education - (가정과교육에서의 직업역량 강화 방안 탐색을 위한 기초 연구 - NCS 기반 고교 직업교육과정 개정과 가사실업계 직업교육의 변화 방향 탐색 -)

  • Jang, Myung Hee
    • Journal of Korean Home Economics Education Association
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    • v.26 no.4
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    • pp.129-146
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    • 2014
  • This study is a fundamental research in the field of home economics education to enforce vocational competencies. It was carried out in the purpose of examining the recent economical and social environmental changes and its management system related to the vocational training in the field of home economics education. It seeks change in direction in relation to the National Competency Standard(NCS) based on revisions in the educational system. The method of study was mostly through reference and data analysis, professional advisory and public hearing. The main research results are as follows. First, the main environmental change factors in relation to vocational training have been integrated to the changes in; population structure, gender related economic activities, generation composition, communications technology, and innovation of living technique. These change factors are forecasting innovations in related industries, lifestyle changes, demand for manpower and changes in capabilities required for each specific profession. Second, according to the analysis of current home economics education training, vocational home educations high school accounts for 9.4% of the total number of specialized high schools, where 8 standard departments are specialized in and characterized into 137 different department names. Despite differences among departments, overall employment rate of graduates were measured 44.7%, which rates above the entrance rate of 41.9%. These numbers show great change since 2010(overall employment rate 16.9%, entrance rate 75.2%), a meaningful outcome resulting from changes in policy from the previous employment-centered education system. Third, NCS based on high school vocational home economics education system revision and investigations in change of direction in vocational home economics, this study attempts to provide background for revision from the development of NCS. It also provides proposals for restructuring division of current classification and departments of home economics education, and propositions for further future research.

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Comparison of Association Rule Learning and Subgroup Discovery for Mining Traffic Accident Data (교통사고 데이터의 마이닝을 위한 연관규칙 학습기법과 서브그룹 발견기법의 비교)

  • Kim, Jeongmin;Ryu, Kwang Ryel
    • Journal of Intelligence and Information Systems
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    • v.21 no.4
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    • pp.1-16
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    • 2015
  • Traffic accident is one of the major cause of death worldwide for the last several decades. According to the statistics of world health organization, approximately 1.24 million deaths occurred on the world's roads in 2010. In order to reduce future traffic accident, multipronged approaches have been adopted including traffic regulations, injury-reducing technologies, driving training program and so on. Records on traffic accidents are generated and maintained for this purpose. To make these records meaningful and effective, it is necessary to analyze relationship between traffic accident and related factors including vehicle design, road design, weather, driver behavior etc. Insight derived from these analysis can be used for accident prevention approaches. Traffic accident data mining is an activity to find useful knowledges about such relationship that is not well-known and user may interested in it. Many studies about mining accident data have been reported over the past two decades. Most of studies mainly focused on predict risk of accident using accident related factors. Supervised learning methods like decision tree, logistic regression, k-nearest neighbor, neural network are used for these prediction. However, derived prediction model from these algorithms are too complex to understand for human itself because the main purpose of these algorithms are prediction, not explanation of the data. Some of studies use unsupervised clustering algorithm to dividing the data into several groups, but derived group itself is still not easy to understand for human, so it is necessary to do some additional analytic works. Rule based learning methods are adequate when we want to derive comprehensive form of knowledge about the target domain. It derives a set of if-then rules that represent relationship between the target feature with other features. Rules are fairly easy for human to understand its meaning therefore it can help provide insight and comprehensible results for human. Association rule learning methods and subgroup discovery methods are representing rule based learning methods for descriptive task. These two algorithms have been used in a wide range of area from transaction analysis, accident data analysis, detection of statistically significant patient risk groups, discovering key person in social communities and so on. We use both the association rule learning method and the subgroup discovery method to discover useful patterns from a traffic accident dataset consisting of many features including profile of driver, location of accident, types of accident, information of vehicle, violation of regulation and so on. The association rule learning method, which is one of the unsupervised learning methods, searches for frequent item sets from the data and translates them into rules. In contrast, the subgroup discovery method is a kind of supervised learning method that discovers rules of user specified concepts satisfying certain degree of generality and unusualness. Depending on what aspect of the data we are focusing our attention to, we may combine different multiple relevant features of interest to make a synthetic target feature, and give it to the rule learning algorithms. After a set of rules is derived, some postprocessing steps are taken to make the ruleset more compact and easier to understand by removing some uninteresting or redundant rules. We conducted a set of experiments of mining our traffic accident data in both unsupervised mode and supervised mode for comparison of these rule based learning algorithms. Experiments with the traffic accident data reveals that the association rule learning, in its pure unsupervised mode, can discover some hidden relationship among the features. Under supervised learning setting with combinatorial target feature, however, the subgroup discovery method finds good rules much more easily than the association rule learning method that requires a lot of efforts to tune the parameters.

Applying the Theory of Planned Behavior to Understand Milk Consumption among WIC Preagnant Women (저소득층 임신부들의 우유 소비 행동을 이해하기 위한예측이론(Theory of Planned Behavior)의 적용)

  • Kyungwon Kim;John R. Ureda
    • Korean Journal of Community Nutrition
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    • v.1 no.2
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    • pp.239-249
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    • 1996
  • Despite the importance of prenatal nutrition, many studies find inadequate calcium intake among pregnant women. The purpose of this study was to investigate the value of the Theory of Planned Behavior in explaining the intentions and the actual consumption of milk among pregnant women participating in or eligible for WIC. A cross-sectional survey was conducted to collect information regarding attitudes, subjective norms, perceived control, milk allocation within the family, intentions and consumption of milk. The survey questionnaire was developed using open-ended questions and interviews with 112 pregnant women. One-hundred-eighty women recruited from prenatal clinics completed the survey questionnaire. Multiple regression was used separately to investigate the association of factors to intentions and to the consu-mption of milk, as proposed in the theory. Milk allocation within the family was used as an exploratory variable to explain milk consumption. Study findings revealed that all three factors, attitudes, subjective norms and perceived control contributed to the model in explaining intentions (explained variance : 36.2%), with perceived control being most important. For milk consumption, intentions and perceived control were related significantly to actual consumption, while milk allocation within the family was not (explained variance : 44.6%). These findings suggest that perceived control is important in understanding both intentions and milk consumption, providing empirical evidence for the Theory of Planned Behavior. With respect to the role of perceived control, more strong evidence was provided in explaining intentions. Findings suggest that educational interventions to increase milk consumption among pregnant women should incorporate strategies to enhance the perception of control, and to strengthen positive attitudes and to elicit social support from significant other. (Korean J Community Nutrition 1(2) 239-249, 1996)

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Factors associated with the attitude of South Korean adults toward food aid to North Korea (남한 성인의 대북식량지원에 대한 태도 관련 요인)

  • Nam, Youngmin;Yoon, Jihyun
    • Journal of Nutrition and Health
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    • v.53 no.2
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    • pp.215-229
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    • 2020
  • Purpose: This study examines the attitude of South Korean adults toward food aid to North Korea and factors associated with it. Methods: An online survey involving 1,000 adults aged 19-69 years was conducted between September-October 2019. Throughout South Korea, the subjects were proportionally distributed with respect to gender, age, and region, to represent South Korean adults. Results: A total of 44.6% of the respondents agreed (Agreement group), 36.7% disagreed (Disagreement group), and 18.7% neither agreed nor disagreed to food aid to North Korea. Compared to the Disagreement group, the Agreement group had a higher concern of food aid to North Korea and a more positive perception on the effect of it. The Agreement group selected "direct assistance from the government" whereas the Disagreement group chose "support through international organizations" as the most appropriate channel for food aid to North Korea. Logistic regression analysis revealed that South Korean adults showing a more positive perception on the effect of food aid to North Korea were more likely to agree to the aid (odds ratio [OR], 19.32). Moreover, compared to the conservatives, the progressives were more likely to agree to food aid to North Korea (OR, 5.94). South Korean adults in their 40-50s were more likely to agree to food aid to North Korea than those in their 20-30s (OR, 2.81). South Korean adults with a higher concern of food aid to North Korea (OR, 3.93) and a greater positive perception on Korean unification (OR, 1.88) were more likely to agree to food aid to North Korea. Conclusion: The most important factor associated with the attitude of South Korean adults toward food aid to North Korea was their perception on the subsequent effect. As strategies to draw social consensus on food aid to North Korea, we recommend systematizing the monitoring process on the effect of providing food aid to North Korea and informing the public of the outcomes.

Analysis of Basic Factors of Self-Directed Learning for the Creative Leaning Management (창의적 학습 경영을 위한 자기주도학습 기초요인 분석)

  • Ko, Jae Lyang;Kim, Kyung Soon;Byun, Sang Hea
    • Asia-Pacific Journal of Business Venturing and Entrepreneurship
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    • v.8 no.4
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    • pp.145-159
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    • 2013
  • The purpose of this study is to analyze the structural relationship as to how learning flow and self-directed learning are linked to learning motives and academic self-efficacy in the learning setting of high school students. To accomplish such purpose, based on theoretical backgrounds and preceding research findings evaluation models were put to verification for a valid research model for this study. The initial hypothetical model was that self-directed learning ability would have a direct influence on learning motive, academic efficacy and learning flow, while having an indirect influence on learning flow with learning motive and self-efficacy acting as a mediating variable. But the hypothetical model showed low significance level between self-directed learning and learning motive, and learning motive and learning flow. Therefore, links were adjusted to create the final model within the scope that the adequacy of the model might not be compromised. To verify the model, 900 high school students in Seoul were surveyed and the collected data were statistically analyzed using AMOS v21.0 and SPSS v21.0 But 815 surveys were excluded because they were not sufficiently answered. From the analysis, it was found that self-directed learning and academic efficacy have a direct influence on learning flow while self-directed learning and academic efficacy have an indirect leaning motive and learning flow. This finding means that, in the relationship of self-directed learning and learning flow, learning motive and learning efficacy are positive factors that help high school students experience learning flow. Thus, in order to enhance the experience of self-directed learning ability of high school students, various educational endeavors are needed to draw the experience of learning flow during the regular course of study. In addition, customized educational methods and environments are required to increase academic efficacy of the students.

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A Study on the Influence of Youth Startup Support Project in Gangwon-do Province on Startup Performance (강원도 청년창업 지원사업이 창업성과에 미치는 영향에 관한 연구)

  • Yun, Jiwon;Park, Woojin;Bae, Byung Yun
    • Asia-Pacific Journal of Business Venturing and Entrepreneurship
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    • v.15 no.4
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    • pp.135-149
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    • 2020
  • As youth employment has become a social issue every year, the government is pushing for policies to support youth start-ups to create jobs voluntarily as a way to enhance the youth employment rate. In the case of young people in Gangwon Province, the number of people moving to other regions is increasing. This research is intended to empirically analyze the actual achievements of youth start-ups through the 'Youth Start-up Project' in Gangwon-do. It was divided into four categories: participation in government support, education completion, intellectual property right retention, and certification retention, which are characteristics of start-up companies, and hypotheses that they will have a positive impact on start-up performance (sales amount, duration of existence, or whether they are retained or not). Age and geographical factors (Yeongdong and Yeongseo) were injected as control variables to see how they affect them. Furthermore, empirical analysis was conducted by setting up a hypothesis that the characteristics of start-up companies and subsequent support between start-up performance would have a positive intermediary effect. The research results showed that the remaining characteristics, except for education completion, had a positive impact on sales, and that the more participation in government projects, the longer the duration of the company's existence. In addition, the level of participation in government support projects was significant in the direction of the government. The analysis results of the parameter, follow-up support, had a positive impact on the start-up performance, and the subsequent support mediating effect showed the mediating effect of the start-up performance, except for geographical factors. The results of this study suggest the need for customized support suitable for the characteristics of youth start-ups in order to enhance the performance of young start-ups. Support agencies need to refer to corporate characteristics for smooth management and selection. In the Gangwon-do area, the government should seek to provide timely and organic support for start-up companies in order to produce successful start-up cases.

The costume culture of China is as old and varied as her long history (중국 소수민족의 복식 연구(1))

  • 박춘순
    • Journal of the Korean Society of Costume
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    • v.26
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    • pp.175-206
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    • 1995
  • The costume culture of China is as old and varied as her long history. As China is a multiracial nation and consists of fifty-six min-ority races including Han race, there are not only fifty-six different costumes in China but each races' costume habit is very different. Therefore, Chinese penninsula can be considered an enor-mous exhibition center of the costumes. This study undertook on the assumption that the costumes' mainstream of Korea and east-northern Asia as well as that of China could be examined by investigating the minority races' costumes in the east-and west-northern areas of China. The process of evolution of the costume of a particular people, country or area is subject not only to constraints related to geography such as climate, topography or local products but is also affected by numorous environmental influences including cultural, economic, social and even pol-itical ones in terms of the selection of material, styling, color and standard of tailoring. In other words, things like philosophy of life, religious be-lief, aesthetic outlook, moral code, class system, degree of affluence, and cultural exchange will all be reflected directly or indirectly by features of a people's or country's style costume. Of course, there are several factors affecting to the style of costume of the minority people in China. However, the only three factors-geo-graphical and environmental, production method, and religious belef-will be touched in this study. First of all, the geograghical and eenviron-mental factor would be the decisive one because the costume should be designed to overcome the constraints of climate and geographical environ-ments. Accordingly, each race has an unique style of costume. The costume of the minority races in the northern parts are loose and wide, and made of warm furs. For instance, Mongolian robe has the quality of anti-wind, anti-cold and warmness, and the width of a sleeve is narrow and long. Secondly, the costume style can be said to be limited by the production pattern, when the geo-graphical environment was affected to decide the costume style, the production pattern was together affected to it . In case of Mongolian robe, they should satisfy the dual condition as the practical function. One is the condition that they should be fitted to the climate, and the other is the condition that they should be suit-able to the nomadic life. Mongolian robes are suitable to the nomadic peoples because they are designed for not only overcoming the cold wind and weather but being used as the bedquit at night. The costumes of Hoche people was made of the skin of the fish and wild animals because of their main means of living being fishing and hunting. Accordingly, their costumes are dur-able, warm and water-proof. Finally, the style of the costume is affected by the religious belief. In other words, the pattern in fashion is closely related with the religious be-lief or ancestor worship and nature worship. Ac-cordingly, the symbols of these worship are often emerged in the decoration of the costume. The design of costume of the people in the northern areas of China is very simple. It is related with their monotheism. On the other hand, the costumes of twen쇼 minority races in the east-northern parts of China can be devided into three racial groups such as the long robes of Man people and Mongols, Tunics of the peoples in the west-northern areas, and the pants and jackets of Hoche people. The minorority races all has not only the unique costume habit but their costumes are also related with their living style and production means.

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Development of Parking Space Forecast Model for Large Traffic-inducing Facilities Considering Surrounding Circumstance (주변 환경을 고려한 대규모 교통유발시설 주차면산정 모형개발에 관한 연구 - 판매시설을 중심으로 -)

  • Park, Je jin;Oh, Seok Jin;Kim, Sung Hun;Ha, Tae Jun
    • KSCE Journal of Civil and Environmental Engineering Research
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    • v.37 no.3
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    • pp.593-601
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    • 2017
  • With the rapid industrial development and national economic advance since 1970, the national income of Korea has sharply increased. As a result, issues regarding city expansion, urban concentration, increase in the number of registered motor vehicles, and increase in traffic have caused transportation issues such as traffic congestion and problems with parking. Especially, enforcement ordinances and rules have been established on installation and management of parking lots to solve problems with parking which are raised as social problems such as conflict with neighbors but the flexible calculation of legal parking space has the limitations because of the diversity and complex functionality of purposes of facilities. Accordingly, this study attempted to supplement such demerit of the parking space demand forecast method based on the legally required number of parking spaces and average unit requirement in the parking space supply. This study estimated the required number of parking spaces by analyzing existing literature, collecting field research data, and analyzing the factors that have an impact on the parking demand. Also, it compared the required number of parking spaces based on the average unit requirement as well as the required number of parking spaces by the forecast model based on the cumulative number of motor vehicles parked. The result was that the required number of parking space based on average unit requirement was less than the cumulative number of motor vehicles parked by 9.99%. Meanwhile, the required number of parking spaces by the forecast model was more than the cumulative number of motor vehicles parked by 4.37%. Therefore, it is believed that the parking space forecast model is more efficient than the others in estimating there quired parking space. The parking space forecast model of this study consider different environmental factors to enable practical parking demand forecast considering the local characteristics and thus supply the parking space in an efficient way.