• The Journal of the Korea institute of electronic communication sciences
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• v.9 no.4
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• pp.509-514
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• 2014

This study investigates how the five personality factors affect job-related stress levels owing to various causes and stress coping strategies in university students studying health-related majors, including dental hygiene. In subfactors for stress coping strategies (1) 'extrovert', 'likeable', and 'diligent' types for 'desire for social support' (2) 'diligent', 'extrovert,' 'likeable', and 'extrovert' types for 'problem-oriented' and (3) 'nervous,' and 'diligent' types for 'avoidance-oriented,' were shown to be most affected, in that order(SCi = ${\beta}0$ + ${\beta}1$ Neuroticism + ${\beta}2$ Extraversion + ${\beta}3$ Openness to Experience + ${\beta}4$ Agreeableness + ${\beta}5$ Conscienti- ousness + ei ).

• Journal of Families and Better Life
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• v.31 no.2
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• pp.109-126
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• 2013

This study seeks to determine how personality patterns on marital adjustment are influenced by interacting with conflict resolution styles. Data for this study were collected from intermarriage couples comprising 293 pairs (586 patients) who lived in Korea for at least 5years. Snowball sampling was carried out from August to October 2011. SPSS 18.0 was used to analyze the collected data. The results of this study are as follows: (a) The conscientiousness and openness of personality patterns turned out to be common personality factors that represent a positive affect on the intermarried couples' effort to adapt. (b) The extroversions, agreeableness, and neuroticism shown significantly increase and decrease the intermarried husband's marital adjustment, but the same did not have a significant influence on the intermarried wife's marital adjustment. (c) Factors that affect marital adjustment, the conflict resolution styles of intermarriage couples showed different results depending on the gender. (d) The Intermarried wife's personality patterns represented a positive affect on her marital adjustment by interacting with her husband's conflict resolution styles, while the intermarried husband's personality patterns represented a positive affect on his marital adjustment by interacting with his wife's conflict resolution styles. The implications of this study will be discussed in the conclusion.

• Journal of the Korea Safety Management & Science
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• v.19 no.3
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• pp.109-115
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• 2017

In order to increase the productivity of the logistics center and transportation, we try to articulate the priority ranking factors of the productivity influenced by the personality of the field workers (logistics center workers) and functional workers (drivers) via the AHP technique Individual personality was studied by applying the Big 5 model of psychological factors (openness, Conscientiousness, extroversion, Agreeableness, neuroticism). In this paper, extraversion was critically analyzed as a priority factor. A trait of extroversion is a strongly active and individual personality. In this study, the field workers are logistics center workers and the functional workers are drivers. They are interactively influenced in the In & Out operation. For example, when it comes to 'up and down work' and 'inspection work', the functional workers perform 'up and down work' and 'delivery work' and the field workers perform 'inspection work'. Stressing on the respective work has an affect on work productivity. Inspection workforce has something to do with inventory management. Functional workforce affects the delivery workforce. Delivery work is positively correlated with customer satisfaction. Nevertheless, as a result of research, extrovert personality that has something to do with an energetic activity would not affect on the implementation of their operation. In addition, personal extraversion of workers and drivers in the warehouse can have a significant impact on job commitment and productivity improvement.

• Journal of Korean Elementary Science Education
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• v.33 no.4
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• pp.646-654
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• 2014

The aim of this study was to investigate the patterns of the elementary school students' interests to animals and plants based on affinity toward animals and plants, and curiosity about animals and plants by using a cluster analysis. In addition, the differences of the big five personality traits by the identified clusters was examined. A total number of 411 elementary school students participated in the study. The students were clustered into four distinct interest groups with respect to the level of interests to animals and plants. Cluster 1 'Developed Interest to Organisms group' showed high levels in the interest to both animals and plants. Cluster 2 'Developed Interest to Animals group' showed high interest to animals and relatively low interest to plants whereas cluster 3 'Developed Interest to Plants group' showed high interest to plants and relatively low interest to animals. Lastly, cluster 4 were identified as 'Lack of Interest to Organisms group' by showing low levels of interest to both animals and plants. The four identified groups also showed different distributions of students according to gender and school year. These results support gender difference in the interest to animals and plants and suggest the decreased and specialized interest with school year. The Big Five personality traits excluding neuroticism were positively related with the interest to organisms and the identified groups showed significant differences in the traits. These findings indicate that agreeableness, conscientiousness, extraversion, and openness can be significant predictors of the interests to animals and plants.

• Knowledge Management Research
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• v.24 no.4
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• pp.63-85
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• 2023

This study aims to identify the primary user group in the growing metaverse space based on the increased interest during the COVID-19 era. It also aims to explore the predictive factors for metaverse adoption. To predict online activities, the study examined user purposes, motivations, and relevant demographic factors as predictive variables through model analysis. The data from the Korean Media Panel Survey were used, and a two-stage analysis with the Heckman two-stage sample selection model was conducted to predict metaverse users. The analysis revealed that the key factors influencing metaverse adoption were offline activities, openness, OTT usage, and purchasing of paid content. Moreover, in the second stage model, openness, gender, and paid content purchases were identified as significant variables for increasing metaverse usage time. These results indicate that understanding metaverse users is essential in the context of the rising interest in online activities during the COVID-19 era and can provide valuable insights for metaverse platform-related companies and developers.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.40 no.5
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• pp.903-913
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• 2015

The Korea Agency of Education, Promotion and Information Service in Food, Agriculture, Forestry and Fisheries launched a public data portal service in January 2015. The service provides customized information for consumers through an agri-food recommendation system built-in portal service. The recommendation system has fallowing characteristics. First, the system can increase recommendation accuracy by using a wide variety of agri-food related data, including SNS opinion mining, consumer's purchase data, climate data, and wholesale price data. Second, the system uses segmentation method based on consumer's lifestyle and megatrends factors to overcome the cold start problem. Third, the system recommends agri-foods to users reflecting various preference contextual factors by using recommendation algorithm, dirichlet-multinomial distribution. In addition, the system provides diverse information related to recommended agri-foods to increase interest in agri-food of service users.