• Title/Summary/Keyword: social influence model

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Exploring Factors Affecting Acceptance Intention and Recognition of Robot-Based Education for Mother with Young Children. (영유아기 자녀를 둔 어머니의 로봇활용 교육에 대한 인식 및 기술수용의도 분석)

  • Lee, Ha-Won;Shin, Won-Ae
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.21 no.7
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    • pp.462-474
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    • 2020
  • The purpose of this study is to provide fundamental data for robot-based education at home by analyzing the factors affecting the recognition and technology acceptance attitudes of mothers with young children. For this purpose, a questionnaire survey was administered to 319 mothers with young children in Seoul and Gyeonggi Province, and one-way ANOVA, chi-square, correlation analysis, and regression analysis were conducted for statistical verification. As a result, there was a significant difference in the robot-based education at home of mothers to child according to their final educational background. Mothers' acceptance intention, perceived ease of use, perceived usefulness, social influence of robot application and personal innovation were all positively correlated. The factors that affect intention of acceptance were perceived ease of use and perceived usefulness of robot application. Conclusively, mothers with young children use robot-based education at home when it is more convenient to use and has educational effects more than the personal innovation or social influence. These study results are meaningful ahead of the 4th industrial revolution in that we provided basic data for the correct direction of robot-based education to young children at home.

Influence of Multidimensional Deprivation on the Latent Class of Changing Trajectories: Comparison by Gender Differences (다차원적 박탈이 문제음주 변화궤적의 잠재집단에 미치는 영향: 성별 차이 비교)

  • Lee, SooBi;Lee, Suyoung
    • The Journal of the Korea Contents Association
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    • v.21 no.4
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    • pp.278-291
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    • 2021
  • This study performed a longitudinal research on the causal relationship between multidimensionality of problem drinking and poverty, and multidimensional deprivation meaning the inequality, focusing on gender difference. For this, this study examined the latent group of problem drinking change trajectory through the latent class growth analysis targeting total 3,770 men and 5,632 women by using the 6th-year Korea Welfare Panel Study data from 2013 to 2018, and then conducted the multinominal logistic regression analysis to verify the influence of multidimensional deprivation factors on this latent group. The main results of this study are as follows. First, the latent group of problem drinking change trajectory according to gender was classified into three latent groups in both men and women while the development aspect was different from each other. The male latent group with 'moderate level' or higher showed higher level of problem drinking than women. However, in case of 'drinking group with high level' according to gender, as time passed, the men tended to maintain it while the women tended to increase it. Second, in the results of examining the effects of multidimensional deprivation on the latent group of problem drinking change trajectory, the men with more experiences of social deprivation and the women with more experiences of social security deprivation showed the higher possibility to belong to the 'drinking group with high level' compared to the 'drinking group with low level'. Based on such results above, this study discussed the preventive/intervention measures for problem drinking according to gender.

The Influence of College Students' Self-Efficacy and Outcome Expectations on Career Exploration (대학생의 자기효능감과 결과기대가 진로 탐색에 미치는 영향)

  • Kim, Young-ran;Lee, Sang-jik
    • Journal of Venture Innovation
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    • v.6 no.2
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    • pp.159-172
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    • 2023
  • This study aimed to empirically analyze the factors influencing the career search intention of college students. The research model was derived based on the Social Cognitive Career Theory (SCCT), considering the unique characteristics of university students. Self-efficacy and outcome expectations were investigated as independent variables, while mastery experience, verbal persuasion, vicarious learning, and positive emotions were considered as antecedent variables. A survey was conducted among college students in the metropolitan area, resulting in 217 valid responses for analysis. Empirical analysis was conducted using structural equation modeling with AMOS 24. The findings revealed that mastery experience, vicarious learning, and positive emotions had a significant positive effect on self-efficacy. Furthermore, verbal persuasion and positive emotions significantly influenced outcome expectations. However, the impact of verbal persuasion on self-efficacy was not found to be significant, and the relationship between mastery experience, vicarious learning, and outcome expectations was not examined. Both self-efficacy and outcome expectations were found to have a significant positive effect on career search intention, with outcome expectations exhibiting a stronger influence. The empirical results contribute to the understanding of college students' career exploration and provide implications for academic and practical contexts.

Identifying Personal Values Influencing the Lifestyle of Older Adults: Insights From Relative Importance Analysis Using Machine Learning (중고령 노인의 개인적 가치에 따른 라이프스타일 분류: 머신러닝을 활용한 상대적 중요도 분석 )

  • Lim, Seungju;Park, Ji-Hyuk
    • Therapeutic Science for Rehabilitation
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    • v.13 no.2
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    • pp.69-84
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    • 2024
  • Objective : This study aimed to categorize the lifestyles of older adults into two types - healthy and unhealthy, and use machine learning to identify the personal values that influence these lifestyles. Methods : This cross-sectional study targeting middle-aged and older adults (55 years and above) living in local communities in South Korea. Data were collected from 300 participants through online surveys. Lifestyle types were dichotomized by the Yonsei Lifestyle Profile (YLP)-Active, Balanced, Connected, and Diverse (ABCD) responses using latent profile analysis. Personal value information was collected using YLP-Values (YLP-V) and analyzed using machine learning to identify the relative importance of personal values on lifestyle types. Results : The lifestyle of older adults was categorized into healthy (48.87%) and unhealthy (51.13%). These two types showed the most significant difference in social relationship characteristics. Among the machine learning models used in this study, the support vector machine showed the highest classification performance, achieving 96% accuracy and 95% area under the receiver operating characteristic (ROC) curve. The model indicated that individuals who prioritized a healthy diet, sought health information, and engaged in hobbies or cultural activities were more likely to have a healthy lifestyle. Conclusion : This study suggests the need to encourage the expansion of social networks among older adults. Furthermore, it highlights the necessity to comprehensively intervene in individuals' perceptions and values that primarily influence lifestyle adherence.

Structural Relationships Among Factors to Adoption of Telehealth Service (원격의료서비스 수용요인의 구조적 관계 실증연구)

  • Kim, Sung-Soo;Ryu, See-Won
    • Asia pacific journal of information systems
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    • v.21 no.3
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    • pp.71-96
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    • 2011
  • Within the traditional medical delivery system, patients residing in medically vulnerable areas, those with body movement difficulties, and nursing facility residents have had limited access to good healthcare services. However, Information and Communication Technology (ICT) provides us with a convenient and useful means of overcoming distance and time constraints. ICT is integrated with biomedical science and technology in a way that offers a new high-quality medical service. As a result, rapid technological advancement is expected to play a pivotal role bringing about innovation in a wide range of medical service areas, such as medical management, testing, diagnosis, and treatment; offering new and improved healthcare services; and effecting dramatic changes in current medical services. The increase in aging population and chronic diseases has caused an increase in medical expenses. In response to the increasing demand for efficient healthcare services, a telehealth service based on ICT is being emphasized on a global level. Telehealth services have been implemented especially in pilot projects and system development and technological research. With the service about to be implemented in earnest, it is necessary to study its overall acceptance by consumers, which is expected to contribute to the development and activation of a variety of services. In this sense, the study aims at positively examining the structural relationship among the acceptance factors for telehealth services based on the Technology Acceptance Model (TAM). Data were collected by showing audiovisual material on telehealth services to online panels and requesting them to respond to a structured questionnaire sheet, which is known as the information acceleration method. Among the 1,165 adult respondents, 608 valid samples were finally chosen, while the remaining were excluded because of incomplete answers or allotted time overrun. In order to test the reliability and validity of the assessment scale items, we carried out reliability and factor analyses, and in order to explore the causal relation among potential variables, we conducted a structural equation modeling analysis using AMOS 7.0 and SPSS 17.0. The research outcomes are as follows. First, service quality, innovativeness of medical technology, and social influence were shown to affect perceived ease of use and perceived usefulness of the telehealth service, which was statistically significant, and the two factors had a positive impact on willingness to accept the telehealth service. In addition, social influence had a direct, significant effect on intention to use, which is paralleled by the TAM used in previous research on technology acceptance. This shows that the research model proposed in the study effectively explains the acceptance of the telehealth service. Second, the research model reveals that information privacy concerns had a insignificant impact on perceived ease of use of the telehealth service. From this, it can be gathered that the concerns over information protection and security are reduced further due to advancements in information technology compared to the initial period in the information technology industry, and thus the improvement in quality of medical services appeared to ensure that information privacy concerns did not act as a prohibiting factor in the acceptance of the telehealth service. Thus, if other factors have an enormous impact on ease of use and usefulness, concerns over these results in the initial period of technology acceptance may become irrelevant. However, it is clear that users' information privacy concerns, as other studies have revealed, is a major factor affecting technology acceptance. Thus, caution must be exercised while interpreting the result, and further study is required on the issue. Numerous information technologies with outstanding performance and innovativeness often attract few consumers. A revised bill for those urgently in need of telehealth services is about to be approved in the national assembly. As telemedicine is implemented between doctors and patients, a wide range of systems that will improve the quality of healthcare services will be designed. In this sense, the study on the consumer acceptance of telehealth services is meaningful and offers strong academic evidence. Based on the implications, it can be expected to contribute to the activation of telehealth services. Further study is needed to assess the acceptance factors for telehealth services, such as motivation to remain healthy, health care involvement, knowledge on health, and control of health-related behavior, in order to develop unique services according to the categorization of customers based on health factors. In addition, further study may focus on various theoretical cognitive behavior models other than the TAM, such as the health belief model.

Small Group Interaction and Norms in the Process of Constructing a Model for Blood Flow in the Heart (심장 혈액 흐름의 모형 구성 과정에서 나타난 소집단 상호작용과 소집단 규범)

  • Kang, Eun-Hee;Kim, Chan-Jong;Choe, Seung-Urn;Yoo, June-Hee;Park, Hyun-Ju;Lee, Shin-Young;Kim, Heui-Baik
    • Journal of The Korean Association For Science Education
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    • v.32 no.2
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    • pp.372-387
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    • 2012
  • This study aims to identify unique small group norms and their influence on the process of constructing a scientific model. We developed instructional materials for the construction of a model of blood flow in the heart and conducted research on eighth-grade students from one middle school. We randomly selected 10 small groups, and videotaped and recorded their dialogues and behaviors. The data was categorized according to the types of interaction and then analyzed to investigate the characteristics of group norms and models in one or two representative groups for each type. The results show that the types of interaction, the quality of the group models, and the group norms were different in each group. Even though one teacher guided students through the same task in the inquiry context, each group revealed different patterns of discourse and behavior, which were based on norms of cognitive responsibility, the need for justification, participation, and membership. With the exception of one group, there was little cognitive responsibility and justification for students' opinions. Ultimately, these norms influenced the model construction of small groups. A group that forms norms to encourage the active participation and justify members' opinions with cognitive responsibility was encouraged to do inferential thinking and construct a group model close to the target model. This study has instructional implications for the establishment of a classroom environment that facilitates learning through small group activities.

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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The Influence of Dental Service Qualities on The Patient Satisfaction and Royalty in Dental Clinics and Hospitals (치과 병.의원의 의료서비스품질이 고객만족과 충성도에 미치는 영향에 관한 연구)

  • Kim, Yang-Kyun;Jung, Ki-Teak;Ann, Young-Song;Lee, Sang-Eun;Jang, Young-Hwa;Han, Bo-Ra
    • Korea Journal of Hospital Management
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    • v.8 no.3
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    • pp.49-71
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    • 2003
  • The purpose of the study is exploring the relationship among patient perceived quality of dental care, satisfaction, and royalty in dental clinics and hospitals. The observation of the study is outpatient visiting dental clinics and hospitals located in Seoul and Kyung-Gi Do area, and surveyed the outpatients. The contents of the survey are consisted with questions including quality of care perceived by the patients, costumer satisfaction, and royalty, and measurement for each question is using five point Likert scale. According to result of bi-variate analysis, there was the significant relationship among specialized care, value of the care, and kindness in quality of dental services, level of care in dentists significantly influenced on costumer satisfaction and costumer royalty, and there was the significant relationship between costumer satisfaction and royalty. According to result of regression analysis on the costumer satisfaction, the costumer satisfaction positively related with the convenience of facility, specialized care, value of care, patient age, number of visit, and spend time for treatment, and housewives and self-employees were likely to satisfy on care than regular employees. By result of full regression model and reduced model on costumer royalty, satisfaction could explain 86% on the costumer royalty such as re-visit and promoting other people, and increase of explain power is not significant when other independent variables joined model (full model). Considering efficiency of model, costumer royalty could be explained by satisfaction only rather than other independent variables used. Finally, This study shows that the social-demographic variables of patient influenced the patient satisfaction, and the patient satisfaction influenced patient royalty directly.

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Sentiment Analysis of News Based on Generative AI and Real Estate Price Prediction: Application of LSTM and VAR Models (생성 AI기반 뉴스 감성 분석과 부동산 가격 예측: LSTM과 VAR모델의 적용)

  • Sua Kim;Mi Ju Kwon;Hyon Hee Kim
    • The Transactions of the Korea Information Processing Society
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    • v.13 no.5
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    • pp.209-216
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    • 2024
  • Real estate market prices are determined by various factors, including macroeconomic variables, as well as the influence of a variety of unstructured text data such as news articles and social media. News articles are a crucial factor in predicting real estate transaction prices as they reflect the economic sentiment of the public. This study utilizes sentiment analysis on news articles to generate a News Sentiment Index score, which is then seamlessly integrated into a real estate price prediction model. To calculate the sentiment index, the content of the articles is first summarized. Then, using AI, the summaries are categorized into positive, negative, and neutral sentiments, and a total score is calculated. This score is then applied to the real estate price prediction model. The models used for real estate price prediction include the Multi-head attention LSTM model and the Vector Auto Regression model. The LSTM prediction model, without applying the News Sentiment Index (NSI), showed Root Mean Square Error (RMSE) values of 0.60, 0.872, and 1.117 for the 1-month, 2-month, and 3-month forecasts, respectively. With the NSI applied, the RMSE values were reduced to 0.40, 0.724, and 1.03 for the same forecast periods. Similarly, the VAR prediction model without the NSI showed RMSE values of 1.6484, 0.6254, and 0.9220 for the 1-month, 2-month, and 3-month forecasts, respectively, while applying the NSI led to RMSE values of 1.1315, 0.3413, and 1.6227 for these periods. These results demonstrate the effectiveness of the proposed model in predicting apartment transaction price index and its ability to forecast real estate market price fluctuations that reflect socio-economic trends.

Comparative Analysis Between Korean and Chinese Students in regards to Fashion Product Impulse Buying and Internet Shopping Satisfaction (인터넷 쇼핑몰에서 패션제품의 충동구매와 만족에 관한 한국과 중국 간 비교분석)

  • Kang, Eun-Mi;Liu, Jing;Park, Eun-Joo
    • Fashion & Textile Research Journal
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    • v.16 no.6
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    • pp.879-887
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    • 2014
  • Consumers often act impulsively when making internet purchases. Triggered by easy access to products, lack of social pressure, and absence of delivery impediments, impulse buying frequently occurs in the context of internet shopping. This study tests the structural equation model of the impulse buying process for fashion products when internet shopping and examines impulse buying process differences between Korean and Chinese consumers. A total of 985 usable questionnaires were obtained from college students. Data were analyzed by structural equation model analysis using a correlation matrix with a maximum likelihood by AMOS 21.0. Results showed that increased internet browsing by consumers resulted in more impulse buying as mediated by the urge to buy; in addition, more impulse buying by consumers resulted in a higher consumer satisfaction experience. Pure impulse buying created more important antecedents of satisfaction than the promotion-oriented impulse buying. Impulse buying showed a high similarity between Korean and Chinese consumers; however, increased influence from promotion activities resulted in more fashion product impulse buying for Chinese consumers versus Korean consumers. We confirm that one of the outcomes of the impulse buying process is impulse buying product satisfaction. Korean and Chinese consumers also present similarities and differences in fashion product impulse buying. A managerial implication is discussed for retailers of fashion products to develop strategies to increase consumer browsing and subsequently trigger impulse buying accompanied with consumer satisfaction.