• Korean Journal of Social Welfare Studies
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• 제41권4호
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• pp.247-276
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• 2010

This study aimed to examine the model to explain the mediator effect of care evaluation(care stress, care satisfaction) on the effect of stress factors and resource on the psychological well-being of the parents of the adult intellectual disabilities. Examining whether there is a difference between the gender of parents was another aim of this study. Study results showed that with the care stress as an endogenous variable, the daily life function and maladjustment behavior of adult children and the health state of parents had a significant direct effect on the psychological well-being of parents. With care satisfaction as an endogenous variable, family support, expert support and care stress had a significant direct effect. With the psychological well-being as an endogenous variable, care satisfaction and care stress had a significant effect, but the health state of parents didn't. In case of indirect effect, the care stress had a significant mediator effect on the effect of the physical function and maladjustment behavior of adult children and the health state of parents on the psychological well-being of parents. Care satisfaction had a significant mediator effect on the effect of family support, expert support and care stress on the psychological well-being of parents. According to the result of the Multiple Group Analysis, the path showed a statistically significant difference between gender was friend support→care satisfaction, care stress→psychological wellbeing, expert support→care satisfaction. On the basis of the study results, practical suggestions were made.

• Korean Journal of Social Welfare Studies
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• 제41권3호
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• pp.271-297
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• 2010

The purpose of this study is to verify the structural path differences among the quality of self-sufficiency services and the job satisfaction and the effectiveness of self-sufficiency. To fulfill this purpose, all data for this analysis were collected from participants who belongs to the 31 local self-sufficiency centers in Seoul. The findings are as follows. First, we found that there were no statistically significant differences among the groups of the quality of self-sufficiency services and the job satisfaction and the effectiveness of self-sufficiency according to the type of self-sufficiency program. This means all the same degrees of effectiveness that participants of social employment program and market type program and self-sufficiency community was perceived. In addition, although there were no statistically significant differences among the groups of the quality of self-sufficiency services and the job satisfaction and the effectiveness of self-sufficiency according to the type of self-sufficiency program, we found that the differences among groups existed partially with theoretical model established in this study. Through the above results, the policy limitation and suggestion were presented about effectiveness of current self-sufficiency.

• Journal of the Korean Institute of Landscape Architecture
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• 제51권5호
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• pp.70-83
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• 2023

Recently, the Korea Forest Service has implemented a planning project about wind corridor forests as a response measure to climate change. Based on this, research on wind corridors has been underway. For the creation of wind corridor forests, a preliminary evaluation of the wind corridor function is necessary. However, currently, there is no evaluation index to directly evaluate and spatially distinguish the types of wind corridors, and analysis is being performed based on indirect indicators. Therefore, this study proposed a method to evaluate and classify wind corridors by utilizing heat deficit analysis as an evaluation index for cold air generation. Heat deficit was analyzed using a cold air analysis model called Kaltluftabflussmodell_21 (KLAM_21). According to the results of the simulation analysis, the wind path was functionally classified. The top 5% were classified as cold-air generating Areas (CGA), and the bottom 5% as cold-air vulnerable Areas (CVA). In addition, the cold-air flowing Areas (CFA) were classified by identifying the flow of cold air moving from the cold air generation area. It is expected that the methodology of this study can be utilized as an evaluation method for the effectiveness of wind corridors. It is also anticipated to be used as an evaluation index to be presented in the selection of wind corridor forest sites.

• Industry Promotion Research
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• 제8권4호
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• pp.69-79
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• 2023

This study sought to propose ways to improve the happiness of Chinese product designers by verifying whether grit moderates the effect of job stress on happiness through professional values. A purposively sampled participants of 335 Chinese product designers living in Guangdong Province, southern China, were selected. Data analysis was performed using SPSS PC+ Win. Ver. 26.0 and PROCESS Macro ver. 4.2. The statistical techniques applied were frequency analysis, reliability analysis, correlation analysis, and moderated mediation effect analysis. The research results are as follows. First, job stress showed a negative correlation with professional value and grit, but did not show a significant correlation with happiness. Except for job stress, there was a positive significant correlation between other variables. Second, the conditional indirect effect was significant when grit was M-SD, M, or M+SD. M+SD. Therefore, the moderated mediating role of grit was verified. However, as professional value increased, grit played a role in increasing happiness. Still, in the path of job stress -> professional value -> happiness, grit did not buffer the negative effect of job stress on happiness through professional stress. Suggestions were made to improve the happiness of product designers using professional values and grit.

• Science of Emotion and Sensibility
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• 제26권3호
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• pp.53-68
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• 2023

Materialism can be triggered by various social events. Based on theories on functions of materialistic goal pursuit, this study investigates how social exclusion evokes desires related to one's identity, resulting in an increase in materialism. Specifically, we predicted that social exclusion would increase the desire for control and belonging, thus leading to higher levels of materialism. Moreover, based on the theory of the approach tendency of power, we further predicted that individuals with a higher sense of power would experience greater desires for belonging and control when faced with social exclusion. To examine the hypotheses, we conducted an experiment using 202 Korean women. The results indicated that social exclusion resulted in an increase in the desire for control, thus increasing materialism. This relationship is stronger for individuals with a high sense of power, and the path from social exclusion to materialism based on the need for control is significant for those with a high sense of power. Although social exclusion increases the need to belonging, the relationship between the need to belonging and materialism is not significant, and its mediating effect was not supported in this study. Based on these findings, we discussed implications and directions for future research.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• 제17권2호
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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 Advanced Technology Convergence
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• 제3권1호
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• pp.21-31
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• 2024

The study confirmed the relationship between attractiveness and suitability in the relationship between the formativeness of creating the artistic form of a virtual influencer who acts as an advertising model, advertising attention, and advertising attitude. To confirm this, the subjects of the study were the MZ generation and X generation, which have a high rate of SNS use. The analysis method used SPSS statistics 27.0 and SPSS process macro version. The research results are as follows. First, it was confirmed that attractiveness and suitability fully mediate the relationship between formativeness and advertising attention. In the path of formativeness and advertising attention, the total effect was found to be higher than the direct effect, and it was confirmed that there was a double parallel mediation effect through attractiveness and suitability in the relationship between the formativeness of virtual influencers and advertising attention. Second, it was confirmed that formativeness affects the mediating variable, attractiveness, but attractiveness does not affect attitude toward advertising. Since formativeness affects suitability and suitability in turn influences attitude toward advertising, it was confirmed that there is a full mediating effect between these variables. According to these results, the parallel mediating effect of attractiveness and formativeness was not confirmed in the relationship between formativeness and attitude towards advertising. The above study is significant in that it presents academic implications and practical implications by examining the dual and parallel mediating effects of attractiveness and suitability in the relationship between formativeness, advertising attention, and advertising attitude variables, which are considered in the production of virtual influencers.

• Journal of The Korean Association For Science Education
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• 제26권2호
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• pp.222-231
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• 2006

The purposes of this study were to survey internal engagement in science fair and explore the causal relationship between internal engagement and motivation for participation. A written questionnaire on queries into motivation for participation and internal engagement were developed and tested. The subjects were 1066 students from 4th to 9th grade who had participated in the Youth Science Contest under the auspices of the Korea Science Foundation. Interest and commitment were selected as constructing factors of internal engagement. Through exploratory factor analysis, preference, reward, and social motivation were determined to be the factors affecting the motivation to participate. Boys showed higher internal engagement than girls, and interest and commitment were found to be higher in elementary school students(p<0.01). There was no difference in interest among elementary school students; however, fourth grade students showed lower commitment than other students(p<0.01). Ninth grade students showed the lowest interest and commitment among junior high school students(p<0.01). To explore the causal relationship between internal engagement and factors influence internal engagement, path analysis was used. The selected model illustrated how reward motivation affected commitment directly, and how preference motivation affected interest directly but only commitment indirectly through interest. Reward motivation affected commitment with a standardized direct effect coefficient of 0.17. Preference motivation affected interest with a standardized direct effect coefficient of 0.75 and commitment with a standardized total effect coefficient of 0.63(direct effect; 0.27 and indirect effect; 0.36). In addition, interest affected commitment with a standardized direct effect coefficient of 0.49. Social motivation did not affect interest and commitment and reward motivation did not affect interest.

• Journal of Intelligence and Information Systems
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• 제23권4호
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• pp.111-126
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• 2017

Recommender systems based on association rule mining significantly contribute to seller's sales by reducing consumers' time to search for products that they want. Recommendations based on the frequency of transactions such as orders can effectively screen out the products that are statistically marketable among multiple products. A product with a high possibility of sales, however, can be omitted from the recommendation if it records insufficient number of transactions at the beginning of the sale. Products missing from the associated recommendations may lose the chance of exposure to consumers, which leads to a decline in the number of transactions. In turn, diminished transactions may create a vicious circle of lost opportunity to be recommended. Thus, initial sales are likely to remain stagnant for a certain period of time. Products that are susceptible to fashion or seasonality, such as clothing, may be greatly affected. This study was aimed at expanding association rules to include into the list of recommendations those products whose initial trading frequency of transactions is low despite the possibility of high sales. The particular purpose is to predict the strength of the direct connection of two unconnected items through the properties of the paths located between them. An association between two items revealed in transactions can be interpreted as the interaction between them, which can be expressed as a link in a social network whose nodes are items. The first step calculates the centralities of the nodes in the middle of the paths that indirectly connect the two nodes without direct connection. The next step identifies the number of the paths and the shortest among them. These extracts are used as independent variables in the regression analysis to predict future connection strength between the nodes. The strength of the connection between the two nodes of the model, which is defined by the number of nodes between the two nodes, is measured after a certain period of time. The regression analysis results confirm that the number of paths between the two products, the distance of the shortest path, and the number of neighboring items connected to the products are significantly related to their potential strength. This study used actual order transaction data collected for three months from February to April in 2016 from an online commerce company. To reduce the complexity of analytics as the scale of the network grows, the analysis was performed only on miscellaneous goods. Two consecutively purchased items were chosen from each customer's transactions to obtain a pair of antecedent and consequent, which secures a link needed for constituting a social network. The direction of the link was determined in the order in which the goods were purchased. Except for the last ten days of the data collection period, the social network of associated items was built for the extraction of independent variables. The model predicts the number of links to be connected in the next ten days from the explanatory variables. Of the 5,711 previously unconnected links, 611 were newly connected for the last ten days. Through experiments, the proposed model demonstrated excellent predictions. Of the 571 links that the proposed model predicts, 269 were confirmed to have been connected. This is 4.4 times more than the average of 61, which can be found without any prediction model. This study is expected to be useful regarding industries whose new products launch quickly with short life cycles, since their exposure time is critical. Also, it can be used to detect diseases that are rarely found in the early stages of medical treatment because of the low incidence of outbreaks. Since the complexity of the social networking analysis is sensitive to the number of nodes and links that make up the network, this study was conducted in a particular category of miscellaneous goods. Future research should consider that this condition may limit the opportunity to detect unexpected associations between products belonging to different categories of classification.

• Journal of Intelligence and Information Systems
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• 제21권2호
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• pp.93-112
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• 2015

Depending on the change in consumer's consumption pattern, existing retail shop has evolved in hypermarket or convenience store offering grocery and daily products mostly. Therefore, it is important to maintain the inventory levels and proper product configuration for effectively utilize the limited space in the retail store and increasing sales. Accordingly, this study proposed proper product configuration and inventory level strategy based on RFM(Recency, Frequency, Monetary) model and SOM(self-organizing map) for manage the retail shop effectively. RFM model is analytic model to analyze customer behaviors based on the past customer's buying activities. And it can differentiates important customers from large data by three variables. R represents recency, which refers to the last purchase of commodities. The latest consuming customer has bigger R. F represents frequency, which refers to the number of transactions in a particular period and M represents monetary, which refers to consumption money amount in a particular period. Thus, RFM method has been known to be a very effective model for customer segmentation. In this study, using a normalized value of the RFM variables, SOM cluster analysis was performed. SOM is regarded as one of the most distinguished artificial neural network models in the unsupervised learning tool space. It is a popular tool for clustering and visualization of high dimensional data in such a way that similar items are grouped spatially close to one another. In particular, it has been successfully applied in various technical fields for finding patterns. In our research, the procedure tries to find sales patterns by analyzing product sales records with Recency, Frequency and Monetary values. And to suggest a business strategy, we conduct the decision tree based on SOM results. To validate the proposed procedure in this study, we adopted the M-mart data collected between 2014.01.01~2014.12.31. Each product get the value of R, F, M, and they are clustered by 9 using SOM. And we also performed three tests using the weekday data, weekend data, whole data in order to analyze the sales pattern change. In order to propose the strategy of each cluster, we examine the criteria of product clustering. The clusters through the SOM can be explained by the characteristics of these clusters of decision trees. As a result, we can suggest the inventory management strategy of each 9 clusters through the suggested procedures of the study. The highest of all three value(R, F, M) cluster's products need to have high level of the inventory as well as to be disposed in a place where it can be increasing customer's path. In contrast, the lowest of all three value(R, F, M) cluster's products need to have low level of inventory as well as to be disposed in a place where visibility is low. The highest R value cluster's products is usually new releases products, and need to be placed on the front of the store. And, manager should decrease inventory levels gradually in the highest F value cluster's products purchased in the past. Because, we assume that cluster has lower R value and the M value than the average value of good. And it can be deduced that product are sold poorly in recent days and total sales also will be lower than the frequency. The procedure presented in this study is expected to contribute to raising the profitability of the retail store. The paper is organized as follows. The second chapter briefly reviews the literature related to this study. The third chapter suggests procedures for research proposals, and the fourth chapter applied suggested procedure using the actual product sales data. Finally, the fifth chapter described the conclusion of the study and further research.