• Journal of Korean Society for Quality Management
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• v.47 no.2
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• pp.315-325
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• 2019

Purpose: The purpose of this study was to propose useful standards evaluation method using standards networks by analyzing the relationship between normative references citation information list. Methods: The collected data through the survey were analyzed using social network analysis. The measurement tools used for this study were divided into three dimensions such as certificate standard, normative reference and degree centrality. Results: The results of this study are as follows; regarding the influence of standard information, It is meaningful that the research using normative reference item among the bibliography information that the standard itself possesses. The analysis of social network analysis data of population standard, normative reference and the correlation analysis with sales, a variable representing actual utilization performance, suggested the importance of the standard and how to evaluate it. Conclusion: In prioritizing standard maintenance, more efficient management will be possible if centrality figures of standard network information are analyzed and used for standard maintenance.

• Asia pacific journal of information systems
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• v.25 no.2
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• pp.356-369
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• 2015

Public sectors around the world utilize social media tools and technologies in their daily activities for a variety of purposes, including disseminating useful information, fostering mass collaboration, and enforcing laws and regulations. A number of social media-based government stage models have emerged to document this use. In this chapter, we conducted a qualitative meta-synthesis of four social media-based government models. These models include 1) the open government maturity model, 2) the social media utilization model, 3) the adoption process for social media, and 4) the social media-based engagement model. The concepts, metaphors, and themes contained in these developmental models are extracted through a series of in-depth semantic analyses of descriptions, resulting in a common frame of reference.

• Health Policy and Management
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• v.32 no.2
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• pp.180-189
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• 2022

Background: Social support contributes directly and indirectly to maintaining physical, mental, and social well-being. The aim of the study was to identify the impact of social support on self-rated health among Korean industrial accident workers. Methods: This study used data from the panel study of workers' compensation insurance (PSWCI). The final subjects were 2,759 workers who responded to a 2018 to 2020 PSWCI. Social support was defined as social contact with friends, neighbors, family, and social participation activities like religious activity, social activity, and club activity. Multivariate logistic regression analysis was performed to investigate causal relationships between social support and self-rated health using a generalized estimating equation model. Results: Proportion of workers' good self-rated health steadily increased (2018: n=1,447, 63.2%; 2019: n=1,542, 66.2%; 2020: n=1,653, 67.3%). Higher levels of social contacts with friend (worse: reference; same: β=0.442) and higher levels of social activity (yes: reference; no: β=-0.173) were especially associated with good self-rated health. Conclusion: This study confirmed social support positively influenced self-rated health among the self-rated health of industrial injured workers. The results of this study suggested that recovery policies that the government served should include programs enhancing social support for improving health among industrial injured workers.

• Journal of Families and Better Life
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• v.20 no.1
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• pp.115-124
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• 2002

The purpose of this study is to examine the social competence of children with reference to day care center's structural, process variables and demographic variables. The subjects were 156 children who attend day care center, aged from 3 to 5 years and 9 teachers in Seoul or the province of KyungkiDo. Data were gathered via the structured Questionnaires distributed to the teachers to rate children's social competence and their own job satisfaction. And two observers rated teacher-child interaction in day care center The major findings are as follows The variables predicting children's social competence were child's sex, age, period of attendance in day care center, teacher's job satisfaction, and group size. Especially this study suggests that teachers who are highly satisfied with their job and small group size influence children's social competence positively.

• Journal of Distribution Science
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• v.21 no.5
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• pp.19-29
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• 2023

Purpose: The study's primary objective was to pinpoint the variables impacting consumers' impulsive purchasing decisions in the distribution centers in Kathmandu, the capital city of Nepal. Research design, data, and methodology: The independent variables used to identify consumer impulse buying behavior were the in-store displays, store employee behavior, reference groups, and promotional activities. A 6-point Likert scale questionnaire was employed for collecting the primary data from customers at the retail center of Kathmandu. The study's sample size was 396, employing a convenient sampling method. Statistical Package for the Social Sciences (SPSS) and Analysis of a Moment Structures (AMOS) have been used to show the relationships between dependent and independent variables. Results: The outcome of the path analysis using structural equation modeling demonstrates that in-store displays, reference groups, and store employees' behavior significantly influence the customers' impulse buying decisions in the distribution center. Additionally, it has been discovered that promotional activities have no significant impact on consumers' impulsive purchasing decisions made at the retail center of Kathmandu. Conclusions and Implications: The study's findings indicate that the actions of store personnel, reference groups, and in-store displays significantly contribute to the acceleration of impulsive purchases. Such findings provide researchers and business executives with a road map for the future.

• Journal of the Korean Society of Safety
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• v.31 no.6
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• pp.113-120
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• 2016

People use social media platforms such as Twitter to leave traces of their personal thoughts and opinions. In other words, social media platforms retain the emotions of the people as it is, and accurately understanding the emotions of the people through social media will be used as a significant index for disaster management. In this research, emotion type modeling method and emotional quotient quantification method will be proposed to understand the emotions present in social media platforms. Emotion types are primarily analyzed based on 3 major emotions of affirmation, caution, and observation. Then, in order to understand the public's emotional progress according to the progress of disaster or accident and government response in detail, negative emotions are broken down into anxiety, seriousness, sadness, and complaint to enhance the analysis. Ultimately, positive emotions are further broken down into 3 more emotions, and Russell emotion model was used as a reference to develop a model of 8 primary emotions in order to acquire an overall understanding of the public's emotions. Then, the emotional quotient of each emotion was quantified. Based on the results, overall emotional status of the public is monitored, and in the event of a disaster, the public's emotional fluctuation rate could be quantitatively observed.

• Korean journal of food and cookery science
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• v.32 no.1
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• pp.65-75
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• 2016

The purpose of this study was to investigate the consumer's current use and recognition for foodservice social enterprises type cafe. During the research, problems regarding the developmental directions of foodservice social enterprises type cafe. A one-to-one survey method was used for data collection, and 301questionnaires among the 309 distributed questionnaires to consumers were analyzed (97.4% response rate). The main results of the study were as follows : with reference to the awareness of the foodservice social enterprise type cafe, a majority of respondents (81.1%) replied that they had knowledge related to the business of social enterprise. Furthermore, regarding how customers came to know about the foodservice social enterprise type cafe results showed that 28.2% of respondents knew about the cafe by acquaintances such as friend, co-worker, family, 23.2% by mass media, and 27.2% by others. Data concerning a companion when visiting the cafe, revealed that more than half of the respondents (80.0%) had visited with friend and co-worker. On problems with using the cafe, approximately 46.2% of the respondents replied that there was lack of public relation and 28.9% replied that it was an uncommon store. Since the findings suggested that the major problem is a lack of promotion, foodservice social enterprises type cafe should prepare organized brochures and guide system to attract customers with various purposes and values. Finally, the promotion for foodservice social enterprise type cafe requires a guidance map.

• Journal of Industrial Technology
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• v.9
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• pp.57-65
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• 1989

Comparative study was conducted on the Human Resouces Management Practices between U.S.A. and Japan with reference to their socio-cultural tradition and environments. Special attention were given to those topics as prevailing value system in both country underlying human and organizational behavior, authority and responsiblility taking manner, inter-personal and social relations within conporate entity and society at large, and finally the pattern of individual involvement to the organization. The results clearly revealed that the sovio-cultural enviornmentsin respective country functions as the major influencing attributes in the formulation of current management practices.

• Information Systems Review
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• v.17 no.2
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• pp.219-238
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• 2015

As Internet and IT have been developed, people have been exposed to large amounts of information. So, many online information providers recommend relevant information to users to relieve an information overload. However, information recommendation which is based on the taste and preference of a user can lead to a problem of unbalanced information consumption. Prior research about online information has not investigated the side-effect of a recommendation function. This research suggests IT solutions for alleviating unbalanced information consumption behavior. Based on adaptation level theory and expectancy theory, we proposed self-reference point diagnosticity interface and social-reference point diagnosticity interface to help people to consume information following their own information consuming goal. We hypothesized positive impacts of these two interfaces on the self-awareness about information consuming pattern. And we predicted that self-awareness has a positive impact on the motivation and actual behavior to conform the ideal information consuming pattern which the user sets. Laboratory experiment was executed as a research method. As a result, the self-reference diagnosticity interface leaded to higher self-awareness and mitigated the unbalanced information consumption. But, the social-reference diagnosticity interface and the motivation to improve the information consuming behavior had no significant results. Academic and practical implications are discussed.

• International Journal of Internet, Broadcasting and Communication
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• v.15 no.4
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• pp.21-30
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• 2023

The aim of this study is to investigate how travelers' destination visit intentions are influenced by avatar self-congruence in the metaverse platform. We extended the impression management theory by considering both perceived enjoyment and social engagement, and illustrated the interaction effect based on users' digital age. To achieve this, we conducted an online survey with 302 users. The survey results revealed that avatar self-congruence significantly influenced users in terms of perceived enjoyment and social engagement, thereby affecting their destination visit intentions. This study also revealed a significant interaction effect between digital age type and avatar self-congruence on users' perceived enjoyment. The results of this study are expected to provide not only a theoretical reference for metaverse research and travel research but also managerial implications for destination management and metaverse applications.