• Journal of Korean Society of Industrial and Systems Engineering
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• v.45 no.4
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• pp.79-85
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• 2022

Various non-face-to-face services are being activated due to the influence of the Corona 19 virus around the world. However, unlike the rapid development of delivery services, social awareness of delivery services is causing many problems. Therefore, in this study, we analyze the quality attributes of delivery services from the consumer's point of view, and based on the results, we try to derive a direction for service improvement. In this study, quality factors were established through interviews and surveys with actual consumers, and quality attributes were classified through the Kano model and Timko's customer satisfaction coefficient. "Attractive" is ('Ease of ordering, Accurate delivery to the designated place'), "One Dimensional" is ('Variety of payment methods, Accurate delivery on time, Accurate delivery of ordered food, Degree of non-deformation of packaging conditions, etc., Convenience of use time'), "Must be" is ('Kindness of the delivery person'), "Reverse" is ('provision of services, service response to order discrepancies'). This study has academic significance in that it compensated for the disadvantage of not being able to interpret the mathematical meaning of the Kano model with Teamco's customer satisfaction coefficient. It also has practical implications in that it provides an indirect clue to future improvement directions.

• The Journal of Korean Society for School & Community Health Education
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• v.24 no.3
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• pp.51-63
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• 2023

Objectives: This study aims to examine factors affecting depression of Older Adults by using the data of the elderly survey conducted by the Korea Institute of Health and Social Affairs in 2020. Methods: The total sample was 4,777 people aged over 65 years old. In this study, sociodemographic variables, information devices'use behavior and discomfort variables were input to examine the effect on depression. The data was analyzed with t²-test, ANOVA and hierarchical regression by SPSS statistic program. Results: First, use behavior and discomfort of information devices and depression were significantly different by sociodemographic variables(sex, age, level of education, marital status). Secondly, regression analysis showed that age and level of education affected an influence on depression in Model 1, which analyzed only sociodemographic variables. However, Model 2, which analyzed devices' use behavior and discomfort variables at the same time, showed that they affected depression. Conclusions: It was suggested to develop customized health education and mental health promotion were needed to reduce depression in the elderly.

• Journal of Agricultural Extension & Community Development
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• v.30 no.1
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• pp.15-29
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• 2023

Recently, there has been increasing interest in renewable energy in the agricultural sector. Agrophotovoltaics, producing electricity while farming, has attracted much attention. This study aims to identify the factors influencing the acceptance intention of Agrophotovoltaics. Using the UTAUT2 model, we designed a research model to examine the impact of performance expectancy, effort expectancy, facilitating conditions, social influence, and investment utility on the intention to adopt Agrophotovoltaics through the mediation effect of the user's innovativeness. We conducted a survey on farmers and obtained 212 responses for the final analysis. The results showed that effort expectancy and innovativeness significantly positively affected the intention to adopt Agrophotovoltaics. Furthermore, innovativeness was found to fully mediate the relationship among performance expectancy, facilitating conditions, investment utility, and acceptance intention. This suggests that focusing supportive measures on innovative groups could promote the adoption of Agrophotovoltaics.

• The Korean Journal of Food & Health Convergence
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• v.9 no.3
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• pp.1-9
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• 2023

Nowadays, with the development of the internet and e-commerce, opening tea shops online has become an increasing choice for selling tea. However, the product page information of many online tea shops cannot effectively attract consumers, resulting in their profits being compromised. To investigate this, we conducted this paper and hope to provide effective suggestions. This paper is based on 229 questionnaires and selects the product page information of online tea shops as the research object. Using the four dimensions of perceived value theory as independent variables with consumer purchase intention as the dependent variable. A structural equation model was constructed to analyze the role of the perceived value of product page information in online tea shops how influencing consumers' purchase intentions. It was found that information on the perceived functional value of online tea shops did not have a significant positive effect on consumer purchase intentions. However, information on the perceived monetary value, perceived social value, and perceived emotional value of online tea shops had a significant positive impact on consumers' purchase intentions. Based on the above conclusions, online tea shops should focus on the expression of product page information to enhance the level of consumers' perceived value of tea products, thereby enhancing their intention to purchase tea products.

• Communications for Statistical Applications and Methods
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• v.29 no.2
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• pp.251-261
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• 2022

As AI has a wide range of influence on human social life, issues of transparency and ethics of AI are emerging. In particular, it is widely known that due to the existence of historical bias in data against ethics or regulatory frameworks for fairness, trained AI models based on such biased data could also impose bias or unfairness against a certain sensitive group (e.g., non-white, women). Demographic disparities due to AI, which refer to socially unacceptable bias that an AI model favors certain groups (e.g., white, men) over other groups (e.g., black, women), have been observed frequently in many applications of AI and many studies have been done recently to develop AI algorithms which remove or alleviate such demographic disparities in trained AI models. In this paper, we consider a problem of using the information in the sensitive variable for fair prediction when using the sensitive variable as a part of input variables is prohibitive by laws or regulations to avoid unfairness. As a way of reflecting the information in the sensitive variable to prediction, we consider a two-stage procedure. First, the sensitive variable is fully included in the learning phase to have a prediction model depending on the sensitive variable, and then an imputed sensitive variable is used in the prediction phase. The aim of this paper is to evaluate this procedure by analyzing several benchmark datasets. We illustrate that using an imputed sensitive variable is helpful to improve prediction accuracies without hampering the degree of fairness much.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.46 no.4
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• pp.133-141
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• 2023

Approximately 40,000 elevators are installed every year in Korea, and they are used as a convenient means of transportation in daily life. However, the continuous increase in elevators has a social problem of increased safety accidents behind the functional aspect of convenience. There is an emerging need to induce preemptive and active elevator safety management by elevator management entities by strengthening the management of poorly managed elevators. Therefore, this study examines domestic research cases related to the evaluation items of the elevator safety quality rating system conducted in previous studies, and develops a statistical model that can examine the effect of elevator maintenance quality as a result of the safety management of the elevator management entity. We review two types: odds ratio analysis and logistic regression analysis models.

• The Journal of Information Systems
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• v.33 no.2
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• pp.27-45
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• 2024

Purpose The purpose of this study is to understand the important characteristics of mobile content services and to provide better content services to Chinese consumers by understanding consumer behavioral psychology about mobile content services and empirically analyzing research models with perceived usefulness, perceived enjoyment, customer attitudes, and repurchase intentions based on motivation theory. Design/methodology/approach Based on Deci(1975) Self-Determination Theory and Heijden(2004) research model, this study developed a research framework that includes perceived usefulness and perceived enjoyment to influence on repurchase intention. A questionnaire survey was conducted targeting Chinese consumers using mobile content services, and 272 valid responses were analyzed using Structural Equation Modeling (SEM). Findings According to the results of empirical analysis in this study, Chinese consumers were found to feel repurchase intention by positive impact of perceived usefulness and perceived enjoyment in the use of mobile content service. Chinese consumers still use mobile content a lot from a utilitarian perspective in relation to social life or job performance, and there is no positive effect on the use of mobile content related to perceived enjoyment. The results of this study provide the empirical results of a research model that integrates motivation theory and technology acceptance theory for the development of the mobile content industry in the future, and provide necessary insights for managers of companies that develop and distribute mobile content service.

• Journal of Korean Society for Quality Management
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• v.52 no.1
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• pp.115-133
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• 2024

Purpose: The purpose of research is to explore the factors influencing the intention to adopt altcoin investments, based on the Unified Theory of Acceptance and Use of Technology. Through this, it seeks to elucidate the key factors impacting altcoin investment adoption, and provide a comprehensive understanding of the crypto-currency market and investor behavior. Methods: This study analyzed factors affecting altcoin investment intentions using frequency and descriptive analyses, and verified socio-demographic differences with t-tests and ANOVA. Exploratory factor and correlation analyses were conducted for research tool validity and relationship assessment among variables. Hypotheses were tested through regression analysis, integrating control, independent, and moderating variables, along with interaction terms, to establish the model and examine moderating effects. Results: As a result, it is revealed that higher age and experience in crypto-currency investment are associated with intention to invest. Among the independent variables, performance expectancy, social influence, facilitating conditions, and personal innovativeness have positive effects to investment intention to invest, while effort expectancy had a negative effect. The moderating variable, perceived risk, also negatively affected the intention to invest. Notably, significant moderating effects of perceived risk were observed in the relationships between investment intention and both performance expectancy and personal innovativeness. Conclusion: This study provides empirical verification into consumers' intentions to invest in altcoins, offering insights into investors' behavior and decision-making processes based on a practical understanding of altcoin investment acceptance.

• Cartoon and Animation Studies
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• s.29
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• pp.129-149
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• 2012

The purpose of this study was to investigate the clustering and Big Five Personality domains in discriminating groups by level of school-related adjustment, as experienced by Social Sims game users. Social Games are based on web that has simple rules to play in fictional time and space background. This paper is to analyze the relationships between social networks and user behaviors through the social games . In general, characteristics of social games are simple, fun and easy to play, popular to the public, and based on personal connections in reality. These features of social games make themselves different from video games with one player or MMORPG with many unspecific players. Especially Social Game show a noticeable characteristic related to social learning. The object of this research is to provide a possibility that game that its social perspective can be strengthened in social game environment and analyze whether it actually influences on problem solving of real life problems, therefore suggesting its direction of alternative play means and positive simulation game. Data was collected by administering 4 questionnaires (the short version of BFI, Satisfaction with life, Career Decision-.Making Self-.Efficacy, Depression) to the participants who were 20 people in Seoul and Daejeon. For the purposes of the data analysis, both Stepwise Discriminant analysis and Cluster analysis was employed. Neuroticism, Openness, Conscientiousness within the Big Five Personality domains were seen to be significant variables when it came to discriminating the groups. These findings indicated that the short version of the BFI may be useful in understanding for game user behaviors When it comes to cultural research, digital game takes up a significant role. We can see that from the fact that game, which has only been considered as a leisure activity or commercial means, is being actively research for its methodological, social role and function. Among digital game's several meanings, one of the most noticeable ones is the research on its critical, social participating function. According to Jame Paul gee, the most important merit of game is 'projected identity'. This means that experiences from various perspectives is possible.[1] In his recent autobiography , he described gamer as an active problem solver. In addition, Gonzalo Francesca also suggested an alternative game developing method through 'game that conveys critical messages by strengthening critical reasons'. [2] They all provided evidences showing game can be a strong academic tool. Not only does a genre called social game exist in the field of media and Social Network Game, but there are also some efforts to positively evaluate its value Through these kinds of researches, we can study how game can give positive influence along with the change in its general perception, which would eventually lead to spreading healthy game culture and enabling fresh life experience. This would better bring out the educative side of the game and become a social communicative tool. The object of this game is to provide a possibility that the social aspect can be strengthened within the game environment and analyze whether it actually influences the problem solving of real life problems. Therefore suggesting it's direction of alternative play means positive game simulation.

• Journal of the Korean association of regional geographers
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• v.22 no.3
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• pp.553-565
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• 2016

Population aging has been an increasing social issue and the elderly health has become one of the most urgent public attentions in Korea. The aims of this paper are to compare the subjective health status according to the personal characteristics, social networks, and daily leisure activities of the urban-rural elderly, and to analyze the influencing factors of their subjective health status. Using 2011 elderly survey data, ordered logit Model was established to extract influencing factors of the elderly health status. The results show that socioeconomic and demographic characteristics of individual as well as frequent social contacts and daily activities within neighborhood environments influence the level of health status of the elderly. The most significant factors affecting the elderly health are personal economic conditions such as the education achievement level and household income. The elderly who visit an elderly welfare center in Seoul has almost 1.82 times higher odds of increasing health status level than not to visit an elderly welfare center. This study may give some important policy implications of the elderly health promotion strategy in urban-rural communities.