• Land and Housing Review
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• v.14 no.4
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• pp.63-76
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• 2023

Investors should understand and actively consider factors like location, future value, policies, pricing, market trends, and their income, as these elements can shift with changing local, social, economic, and policy environments. This study seeks to clarify the impact of investment factors on the performance and reinvestment intentions of Sejong City investors by surveying those who have invested in real estate. This study employs a structural equation model with confirmatory factor analysis, focusing on four aspects: value, economic and policy, psychological, and financial. We find that the investment value factor has the largest impact on investment performance, indicating that investors prioritize the investment value of real estate in Sejong City. In addition, factors increasing asset value and expected satisfaction were significant, indicating that real estate investment in Sejong City yields high returns and investor satisfaction. with a positive outlook for future reinvestment.

• 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.

• Industry Promotion Research
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• v.8 no.4
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• pp.113-122
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• 2023

This study is a research study aimed at finding out the relationship between lifestyle and life satisfaction of single youth households and the relationship between the mediating role of interpersonal relationships and the effect of parents' social and economic status regulation in the relationship between lifestyle and life satisfaction. To this end, this study conducted a self-written survey of single-person youth households across the country through an online survey institution, regardless of gender, and used a total of 501 copies out of 520 subjects for final results analysis. The data were analyzed using the SPSS 25.0 and AMOS 25.0 programs, and the applied statistical techniques included correlation analysis, confirmatory factor analysis, structural equation model analysis, multi-group analysis, and bootstrap. As a result of the study, there was a significant positive (+) correlation between lifestyle, life satisfaction, and interpersonal relationships of single youth households, and interpersonal relationships were found to have a mediating effect in the relationship between lifestyle and life satisfaction. It was found to have a significant positive (+) effect on income and income satisfaction, but the moderating effect of education, economic activity, housing ownership type, and class consciousness was not significant. Based on the results of these studies, it was intended to provide basic data for developing various community programs and institutional arrangements for single youth households.

• Journal of the Korean Applied Science and Technology
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• v.40 no.5
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• pp.1136-1148
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• 2023

The purpose of this study was to examine the relationship between leisure passion, self-realization, and psychological well-being for baby boomers who regularly participate in leisure activities, and to provide basic data for baby boomers to participate in leisure sports based on this. This study required the study of baby boomers born between 1995 and 1963 who participated in leisure activities in Seoul and Gyeonggi Province to fill out a questionnaire using the convenient sampling method among non-probability sampling. Frequency analysis, confirmatory factor analysis, reliability analysis, correlation analysis, and structural equation model analysis were conducted through the SPSS 20.0 program to achieve the purpose of the study with a total of 310 data processing analysis. The results of this study are as follows. First, it was found that leisure passion has an effect on self-realization. Second, self-realization is affecting psychological well-being. Third, it was found that leisure passion affects psychological well-being. Therefore, it was found that all paths had a statistically significant effect on the relationship between leisure passion, self-realization, and psychological well-being according to the leisure participation of baby boomers. In addition, leisure passion was found to have an indirect effect on psychological well-being, indicating that it had a mediating effect.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.17 no.2
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• pp.153-165
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• 2022

The COVID-19 Pandemic incident forced all educational and learning activities to move online, so it is no longer an option to use information and communication technology for education and learning. Venture capital has made the largest investment ever in Edu-tech startups. This study investigates the factors influencing the intention to use digital technology in education, taking into account the Unified Theory of Acceptance and Use of Technology (UTAUT) along with digital literacy, which has become an essential ability in the digital age. As a result of the structural equation model analysis, we find that performance expectation, effort expectation, and social influence have a positive effect on the intention to use digital technology in education. Moreover, digital literacy has a positive effect on performance expectation, effort expectation, and social impact, but the direct effect on the intention to use digital technology on learning is not significant. Furthermore, to see the moderating effect of age, the results of multi-group analysis present that the differences between 10s and 60s, between 20s and 60s, between 30s and 60s on the path of social influence on the intention to use digital technology in education are significantly reduced. This study academically contributes to expanding the research on the factors affecting the intention to use digital technology in a specific situation of education by considering both digital literacy and Unified Theory of Acceptance and Use of Technology (UTAUT). In addition, it can be used as a practical guide to the factors to be considered for each age when making learning participants more actively use digital technology.

• Journal of The Korean Association For Science Education
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• v.27 no.7
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• pp.570-582
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• 2007

The purpose of this study was to analyze the causal relationship among students' science-related career choice and its factors. The causal relationship was analyzed using structural equation modeling. According to the most fitting model, science career aspiration had a direct and total effect of 0.95 (standardized coefficient) on the science career choice, and personal factor had an indirect and total effect of 0.75 on the science career choice, educational factor, 0.46, and social factor, 0.11. Personal factor had a direct and total effect of 0.79 on the science career aspiration, educational factor with total effect of 0.48 (direct effect -0.21, indirect effect 0.69), and social factor with direct and total effect of 0.12. On the other hand, educational factor had a direct and total effect of 0.72 on the social factor, and a direct and total effect of 0.77 on the personal factor. The difference in the causal effect among grades and between gender was analyzed. The difference was only in the magnitude of influence among grades, showing the same tendency with the total number of students, but the difference between gender was contrastive. For the boys, social factor had the biggest effect on the science career choice, next was personal factor, and the educational factor had the smallest effect. The girls' science career choice influenced mostly from personal factor, and the other two factors' effects were not high. The social effect was negative for the girls' science career choice. The implications of proper science career education were discussed from these results, considering the causal relationship among factors of science career choice and its factors.

• Journal of Service Research and Studies
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• v.14 no.2
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• pp.158-177
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• 2024

This paper proposes and tests a theoretical model of the relational link between a novel form of customer-perceived fairness for a reward design (distributive peer justice climate) and C2C helping intention via community identification and online C2C interaction (friend-, neighboring customer-, audience-interaction) qualities in a collective consumption context (MMORPG). To test hypotheses, we amassed survey data within a collective consumption context (massively multiplayer online role-playing games, MMORPGs). We used structural equation modeling in analyzing the survey data. The results reveal that user-perceived distributive peer justice climate for a reward design enhances their C2C helping intention via community identification and C2C interactions in MMORPG contexts. Collective consumption-type service managers should focus on promoting the user-perceived distributive peer justice climate for their reward system to enhance users' present C2C co-creation experience (community identification, C2C interaction) and future C2C co-creation behavior (helping intention). By adopting an intra-unit level distributive justice concept (customer-perceived distributive peer justice climate) to a reward design in a collective consumption context (MMORPGs), this study informed collective consumption-type service managers of the importance of its management.

• Journal of the Korean GEO-environmental Society
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• v.25 no.2
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• pp.5-14
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• 2024

Reinforced concrete bridge decks are the first to be damaged by vehicle loads and rain infiltration. Concrete deterioration primarily occurs owing to the corrosion of rebars and other metal components by chlorides used for snow and ice melting. The structural condition and concrete deterioration of the bridge decks within the pavement were evaluated using ground-penetrating radar (GPR) survey data. To evaluate concrete deterioration in bridges, it is necessary to develop GPR data analysis techniques to accurately identify deteriorated locations and rebar positions. GPR exploration involves the acquisition of reflection and diffraction wave signals due to differences in radar wave propagation velocity in geotechnical media. Therefore, a full-waveform inversion (FWI) method was developed to evaluate the deterioration of reinforced concrete bridge decks by estimating the radar wave propagation velocity in geotechnical media using GPR data. Numerical experiments using a GPR velocity model confirmed the deterioration phenomena of bridge decks, such as concrete delamination and rebar corrosion, verifying the applicability of the developed technology. Moreover, using the synthetic GPR data, FWI facilitates the determination of rebar positions and concrete deterioration locations using inverted velocity images.

• Information Systems Review
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• v.20 no.3
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• pp.33-49
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• 2018

Since there are growing concerns regarding personal information, users have perceived the importance of it. It makes users try to manage and control personal information by their own intentions. Therefore, we assume users now have begun to perceive psychological ownership on personal information. A main objective of this study is to identitythe relationship between accountability, self-identity, self-efficacy and sense of belongingness and psychological ownership on personal information. We conduct an online-basedsurvey and establish a structural equation model for testing hypothesis. The results show that users' accountability, self-identity and sense of belongingness positively influence to psychological ownership on personal information. Additionally, users' perceived psychological ownership on personal information increase their concern for information privacy. This study suggests a new concept as 'perceived psychological ownership on personal information' to explain for intentions of their psychological possessions toward personal information. The findings of this study can provide a way for how firms have to require clients' personal information with increasing their satisfactions.

• Information Systems Review
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• v.21 no.4
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• pp.175-195
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• 2019

This study conducted both big data and netnography analysis to analyze consumer needs and behaviors of online consumer community. Big data analysis is easy to identify correlations, but causality is difficult to identify. To overcome this limitation, we used netnography analysis together. The netnography methodology is excellent for context grasping. However, there is a limit in that it is time and costly to analyze a large amount of data accumulated for a long time. Therefore, in this study, we searched for patterns of overall data through big data analysis and discovered outliers that require netnography analysis, and then performed netnography analysis only before and after outliers. As a result of analysis, the cause of the phenomenon shown through big data analysis could be explained through netnography analysis. In addition, it was able to identify the internal structural changes of the community, which are not easily revealed by big data analysis. Therefore, this study was able to effectively explain much of online consumer behavior that was difficult to understand as well as contextual semantics from the unstructured data missed by big data. The big data-netnography integrated model proposed in this study can be used as a good tool to discover new consumer needs in the online environment.