The Journal of Economics, Marketing and Management
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v.9
no.1
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pp.1-14
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2021
Purpose: The article deals with the proposition that consumers' fashion consumption behavior will still follow the consumption behavior of fast fashion, despite recognizing the importance of slow fashion. Research design, data and methodology: The research model to verify this proposition is topic modelling with big data including unstructured textual data. we combined 5,506 news articles posted on Naver news search platform during the 2003-2019 period about fast fashion and slow fashion, high-frequency words have been derived, and topics have been found using LDA model. Based on these, we examined consumers' perception and consumption behavior on slow fashion through the analysis of Topic Network. Results: (1) Looking at the status of annual article collection, consumers' interest in slow fashion mainly began in 2005 and showed a steady increase up to 2019. (2) Term Frequency analysis showed that the keywords for slow fashion are the lowest, with consumers' consumption patterns continuing around 'brand.' (3) Each topic's weight in articles showed that 'social value' - which includes slow fashion - ranked sixth among the 9 topics, low linkage with other topics. (4) Lastly, 'brand' and 'fashion trend' were key topics, and the topic 'social value' accounted for a low proportion. Conclusion: Slow fashion was not a considerable factor of consumption behavior. Consumption patterns in fashion sector are still dominated by general consumption patterns centered on brands and fast fashion.
Journal of Korean Academy of Nursing Administration
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v.8
no.3
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pp.431-439
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2002
Purpose : Nursing profession has been rapidly changed due to the development of bioscience and the change of medical service environment. Nursing profession that has been focused on only care giver's role like mother's in tradition, is required careful reflection new nursing role to cope properly to the change of medical service environment. In nursing profession, the concept of the role was used without an accurate definition, as a results, the concept of the role was mixed with the concept of the "activity", "job" and "function". Therefore, concept analysis of the role in nursing profession is needed to remove conceptual ambiguous and make confirm the true meaning of the role. Concept analysis is a strategy that examine the characteristics of a concept. It is a formal linguistic exercise to determine those defining attributes. The basic purpose of concept analysis is to clarify ambiguous concept in theory, and propose operational definition which reflects the theoretical base of the concept. Method : In this study, the concept of the role in nursing profession which was analyzed based on the steps of concept analysis by Walker & Avant(1988). Results : The attributes of the concept of the role in nursing profession are : 1. Basic factors to construct social structure. 2. Expected attitudes, values, behavior patterns according to the social status and position in social structure. 3. Perceptive attitudes, values, behavior patterns in order to social interaction. 4. Acquiring through continuous communication and learning. 5. Not fixative but changeable. The antecedents of the role in nursing profession are : 1. The social status and position which is possessed by a person. 2. Expected attitudes, values, behavior patterns according to the social status and position in social structure. 3. Acquiring through continuous interaction, communication, and learning process. And the consequences of the role in nursing profession are : 1. The role maintenance and the role expansion as a positive consequences. 2. The role conflict and the role loss as a negative consequences. Conclusion : Through this concept analysis, the concept of the role in nursing profession is defined as As basic factors to construct social structure, person's attitudes, values, behavior patterns which are expected from other social members according to person's social status and position, and perceived and acquired through continuous interaction, communication, and leaning process.
This study was carried out to investigate the relationship between social support, social network and health behaviors as surveyed by cross-sectional study in 744 rural people aged above 30 of a community dwelling sample of one county for 6 days of July in 2000. Objectives of this study was in order to establish an effective health promotion. The sample was accrued by face to face interview of direct visiting from clustered sampling method. Interview was conducted by trained medical students with the questionnaire consisted of socio-demographic data, health behavior, social support and social network based on previous literature. The summarized results were as follows: 1. There were significant difference in the level of social support and social network by general characteristic variables except occupation and residency type(p〈0.05). 2. There were significant difference in knowledge about hypertension, smoking status, status of physical exercise, diet patterns by social support and social network in spite of variation of social support and social network subconcept(p〈0.05). And there were significant difference in alcohol drinking status, body weight control and diet pattern according to level of social network(p〈0.05). But smoking status by social support and network results opposite direction(p〈0.05). 3. There were no regular or consistent result in the relationship between social support, social network and health behavior. 4. Major predictors for health behavior on the multiple logistic regression that included general characteristic, social support and social network were age, instrumental social support and worry about health. Significant variables of multiple logistic regression for health behavior that included social support(instrumental and emotional) and social network were instrumental social support and social network. These results suggest that only a instrumental element and social network may be associated with health behavior. Inconsistent with prior research in these some item, a positive consistent relationship was not found between social support, social network and health behavior. So the study should be replicated to determined the reliability of our findings.
This cross-sectional study was designed to explore the relationship among social support, experienced stressful life events and health behaviors of Korean undergraduate students, and validate the mediator effect of social support. Method: One thousand four hundred fifty-three undergraduate students were randomly selected from five universities located in the middle area of Korea. Result: The health behaviors of Korean undergraduates tend to have unhealthy patterns. In the case of the students living without family, experiencing more stressful life events and perceiving lower social support, health behaviors are poor. The relationship between perceived social supports, the frequency of the experienced stressful life events and the score of health behavior patterns is statistically significant. After controlling the effect of social support, the correlation coefficient between the frequency of experienced stressful life events and the score of health behavior patterns was slightly lower. The score of health behaviors between the group with an extremely high score of social support and the group with an extremely low score were statistically significantly different. Conclusion: Future studies need to be pursued to develop various strategies such as a health education programs and counseling programs for health maintenance and health promotion of undergraduates.
This study is to understand the determinants affecting women's fertility behavior (additional fertility plan) using the Korean Longitudinal Survey of Women & Families of 2007. Patterns of married women's life courses are divided into five groups depending on family role and economic activity: family-centered (no work experience) type, latent M type, M type, work-family reconciliation type, and first job entry type. This study performs a binomial logistic regression analysis and the key findings from the study are summarized as follows. First, five distinctive patterns show the different composition: family-centered type (4.5%), latent M type (69.6%), M type (10.4%), work-family reconciliation type (7.4%), and first job entry type (8.1%). Second, socio-economic characteristics, husband characteristics, and value characteristics are statistically significant to additional fertility behavior ; however, institutional character is not significant. Finally, significant factors affecting additional fertility plans vary in different patterns of life courses. Based on these results, this study suggests some policy implications and future research directions.
During the pandemic, social distancing continued for a long period of time, and as a result, this situation raised the possibility of the online space as a place for serious social relationships. In particular, metaverse platforms are adding to the reality of virtual space by expanding their functions so that users can provide various online events and have a variety of new experiences. This study attempted to examine the social relationship between reality and the metaverse according to social inclinations and behavior patterns. As a result of this study, the group with a high sense of inferiority in their usual relationship and the group with low satisfaction with their usual social interaction felt high discomfort at a similar level in both real and metaverse relationships. The group with the opposite inclination felt more uncomfortable in the metaverse relationship than in reality. In addition, whether the behavior patterns in the metaverse and in reality were different or same did not significantly affect the difference in attidudes between the metaverse and reality. In the case of group with different behavior patterns, however, if they were satisfied with how they look in the metaverse, their intimacy with social relationships was also high. This results implicate that we need to make an special effort for the development of social relationships in the metaverse era.
Purpose: This ethnography was done to explore patterns of weight management behavior among adults using obesity clinics. Methods: The participants were 12 adults who were overweight or obese and 2 family members. Data were collected from iterative fieldwork in the obesity clinics of two hospitals. Data were analyzed using text analysis and taxonomic methods. Results: Weight management behaviors among participants varied according to the recognition of the body and motivation for weight control, Participants' behavior was discussed in the socio-cultural context of obesity. Patterns of weight management behavior among participants were categorized by focus: strategic self-oriented type including managements for the body as a social asset and for health, selective neglect type, and passive group value-oriented type including type dependent on others and managements for beauty. Conclusion: Participants' weight management behavior was guided by folk concepts of body and health. and constructed within the socio-cultural context. It is necessary for health care providers to understand physical and psychological problems arising from the repeated trials, excessive control of weight, and Western cultural discourse on beauty ideals among adults who are overweight or obese. Therefore, interventions should be tailored to address individual and community needs.
Mobile phone carriers face challenges from three synergistic dimensions: Wireless, social, and mobile. Despite significant advances that have been made about social networks and human mobility, respectively, our knowledge about the interplay between two layers remains largely limited, partly due to the difficulty in obtaining large-scale datasets that could offer at the same time social and mobile information across a substantial population over an extended period of time. In this paper, we take advantage of a massive, longitudinal mobile phone dataset that consists of human mobility and social network information simultaneously, allowing us to explore the impact of human mobility patterns on the underlying social network. We find that human mobility plays an important role in shaping both local and global structural properties of social network. In contrast to the lack of scale in social networks and human movements, we discovered a characteristic distance in physical space between 10 and 20 km that impacts both local clustering and modular structure in social network. We also find a surprising distinction in trajectory overlap that segments social ties into two categories. Our results are of fundamental relevance to quantitative studies of human behavior, and could serve as the basis of anchoring potential theoretical models of human behavior and building and developing new applications using social and mobile technologies.
Asia-pacific Journal of Multimedia Services Convergent with Art, Humanities, and Sociology
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v.7
no.3
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pp.65-75
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2017
This research studies the behavior patterns of a character in FIFA Online3, and the transaction patterns between the characters to present a character that acts like a real person and has social interaction with other characters. A character interacts with others mediated by balls in FIFA Online3, we analysis character's behavior and interactions more cleary. Providing the realistic behavior patterns of a character and the relation in the transaction patterns between the characters based on psychology theory, we can give a player the sense of reality. To define the behavior pattern of a character, this study applied the Ego-state as defined by Transactional Analysis(TA). Based on the Transactions in TA, this study then defined the transaction patterns between the characters, which are produced by the actions that a character in the game. This study also presented how to apply a character's transaction patterns with the examples. It showed that a character can act in the game like a real person by defining how a character acts and interacts in the game.
This longitudinal study investigated developmental changes in temperament and examined social adjustment problems by early temperamental characteristics and developmental patterns of temperamental change during infancy. Subjects were 153 six-month-old infants and their mothers. Infant temperament and toddler's problem behavior were measured by the Infant Behavior Questionnaire-Revised (Garstein & Rothbart, 2003) and the Toddler Behavior Checklist (Larzelere et al., 1989), respectively. Results showed that distress to limitations, high pleasure, perceptual sensitivity, and approach increased with age, while activity level, cuddliness, and vocal reactivity decreased. Infants with high scores in activity level, fear, sadness, and approach at 6 months showed more problem behaviors at 18 months. Infants showing abrupt developmental change of high pleasure and perceptual sensitivity developed more negative behavior.
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