• Management & Information Systems Review
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• v.31 no.2
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• pp.61-87
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• 2012

In order to improve the value of individuals and the organization's performance, strenuous efforts have been made on improving their human capital and expanding their social capital by members of the organization. Accordingly, the purpose of this study is to verify how members' intimacy network of an organization affects the organization's performance. In this research, they are verified by setting the characteristic of individuals intimacy network as an independent variable, and the job performance and the degrees of cooperation in the network as dependent variables. The results of this study show as follows. First, the size, strength, approach of intimacy network showed significant results. In particular, the first impression when first saw him becomes an important variable. And, that is affected by the approach of intimacy network. Second, the approach of intimacy network has a high impact on the cooperative behavior and job performance in a group which is formed by relationships through face-to-face contract.

• Asian Pacific Journal of Cancer Prevention
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• v.16 no.11
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• pp.4677-4683
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• 2015

When there is no sampling frame within a certain group or the group is concerned that making its population public would bring social stigma, we say the population is hidden. It is difficult to approach this kind of population survey-methodologically because the response rate is low and its members are not quite honest with their responses when probability sampling is used. The only alternative known to address the problems caused by previous methods such as snowball sampling is respondent-driven sampling (RDS), which was developed by Heckathorn and his colleagues. RDS is based on a Markov chain, and uses the social network information of the respondent. This characteristic allows for probability sampling when we survey a hidden population. We verified through computer simulation whether RDS can be used on a hidden population of cancer survivors. According to the simulation results of this thesis, the chain-referral sampling of RDS tends to minimize as the sample gets bigger, and it becomes stabilized as the wave progresses. Therefore, it shows that the final sample information can be completely independent from the initial seeds if a certain level of sample size is secured even if the initial seeds were selected through convenient sampling. Thus, RDS can be considered as an alternative which can improve upon both key informant sampling and ethnographic surveys, and it needs to be utilized for various cases domestically as well.

• Korean Journal of Social Welfare
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• v.53
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• pp.179-207
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• 2003

The purpose of this study is to find out the structural characteristics of interorganizational networks for women, and to identify the magnitude of efficient structure for network using 30 organizations for women in Buchon. This study attempted to examine the characteristic of interorganizational networks through searching out the central organization and block modeling. The research sample was 30 organizations, and the data analyzed by UCINET V and KP(Krack Plot) 3.1. The results show that public agencies are central organizations of all dimensions(information exchange, client referral, cooperation, resource exchange) and they also play an important part as intermediary of interorganizational network. A prominent characteristics of network is "ggiri-network" that means network between similar agencies. This finding provides important strategy to build and expand the network. Also this finding can be direction of network structure to meet women's needs and empower women.

• 한국산학경영학회:학술대회논문집
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• 2004.11a
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• pp.23-42
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• 2004

This study examined individual characteristic factors and environmental factors as determinants of entrepreneurial intentions. As for individual characteristic factors, individuals' career orientations and entrepreneurial self-efficacy were examined. As for environmental factors, social supports and successful role models, labeled as personal environmental factors, were examined, and social perceptions for entrepreneurs, labeled as social environmental factors were also examined. Data were collected from undergraduates of business department, and graduates of the same department. The samples of 208 and 81 for each group were used for final analysis. Results showed that as a whole, career orientations affected entrepreneurial intentions. Specifically, entrepreneurial orientations had positive effects. and security orientations had marginally negative effects on entrepreneurial intentions, while, unexpectedly, autonomy orientations had no significant effects. Entrepreneurial self-efficacy had the strongest positive effects on entrepreneurial intentions. Social supports and successful role models, which were not identified as distinct variables by the respondents, were integrated as a new variable of 'network environments' for analysis in this study. Network environments positively affected on entrepreneurial intentions. Social perceptions for entrepreneurs, however, did not affect on entrepreneurial intentions. Based on the results of career orientations, self-efficacy, and network environment, the implications for activating entrepreneurship were discussed.

• Journal of Information Technology Applications and Management
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• v.11 no.2
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• pp.149-166
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• 2004

In the wake of Fishbein and Ajzen's the Theory of Reasoned Action (TRA), Davis (1989) proposed a Technology Acceptance Model (TAM) to account for how perceived ease of use, perceived usefulness, and attitude predict behavioral intention to use Information Systems (IS). However, TAM is incomplete in one important respect: it does not account for social influence In the acceptance and utilization of new information systems. This study investigated the relationships between organizational tasks and intention to use internet using TAM. For using internet, social network is an important factor because the natural characteristic of internet is community-based. The results showed that Organizational Culture (OC) plays an important role in explaining intention to use the internet. Using O'Reilly et al. 's measurements, we extended and empirically validated the proposed model using Structured Equation Modeling (SEM). These findings enable future researchers and practitioners to apply the OC variable in the various contextual domains.

• Journal of the Korean Home Economics Association
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• v.49 no.1
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• pp.107-120
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• 2011

This study is focused on the levels of life satisfaction influenced by the socio-demographic characteristics, personal activities, personal support and psychological characteristics. We surveyed 504 future elderly people(age between 50 to 64) and the elderly(over 65). The results are as follows; First, future elderly people are more satisfied with their life than the elderly. Second, life satisfaction of the future elderly is rarely influenced by the social demographic characteristics. Whereas, life satisfaction of the elderly is more influenced by the socio-demographic characteristics rather than the personal activities. Supports from neighbors and psychological characteristics are more satisfying their lives. Thus, we should come up with new programs providing opportunities to attend various social activities to maximize their life satisfaction of the future elderly. For the elderly, we need systems to build social network for supports from neighbors and to provide more job opportunities and educating programs.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.15 no.1
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• pp.259-268
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• 2020

The purpose of this research is to investigate the determinants of life satisfaction and social support among the elderly. For this purpose, a set of characteristic factors that are supposed to affect elderly life satisfaction were suggested and empirically analyzed. To achieve this study used final analysis with 470 questionnaires which did a questionnaire survey after gathering purposeful sampling method of 500 person who were visiting on Senior Club and Senior Welfare Center. The collected data were analyzed by using the SPSS statistical program. The methods of analysis were frequency, factor analysis, and regression analysis. The results of this study are as follows. Firstly, characteristic factors such as the family relation, health and economic of the elderly have significant impacts on their life satisfaction. Secondly, it was seen that social support regulated the effects of family relation and economic on characteristic factors. The implications of this study are, above all, to build a human network for training, education and social support for career development while participating in the labor market. Such activities could lead to social support for economic independence in old age.

• Journal of Veterinary Clinics
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• v.33 no.5
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• pp.278-285
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• 2016

Epidemiological studies have shown the association between transportation of live animals and the potential transmission of infectious disease between premises. This finding was also observed in the 2014-2015 foot-and-mouth disease (FMD) outbreak in Korea. Furthermore, slaughterhouses played a key role in the global spread of the FMD virus during the epidemic. In this context, in-depth knowledge of the structure of direct and indirect contact between slaughterhouses is paramount for understanding the dynamics of FMD transmission. But the social network structure of vehicle movements to slaughterhouses in Korea remains unclear. Hence, the aim of this study was to configure a social network topology of vehicle movements between slaughterhouses for a better understanding of how they are potentially connected, and to explore whether FMD outbreaks can be explained by the network properties constructed in the study. We created five monthly directed networks based on the frequency and chronology of on- and off-slaughterhouse vehicle movements. For the monthly network, a node represented a slaughterhouse, and an edge (or link) denoted vehicle movement between two slaughterhouses. Movement data were retrieved from the national Korean Animal Health Integrated System (KAHIS) database, which tracks the routes of individual vehicle movements using a global positioning system (GPS). Electronic registration of livestock movements has been a mandatory requirement since 2013 to ensure traceability of such movements. For each of the five studied networks, the network structures were characterized by small-world properties, with a short mean distance, a high clustering coefficient, and a short diameter. In addition, a strongly connected component was observed in each of the created networks, and this giant component included 94.4% to 100% of all network nodes. The characteristic hub-and-spoke type of structure was not identified. Such a structural vulnerability in the network suggests that once an infectious disease (such as FMD) is introduced in a random slaughterhouse within the cohesive component, it can spread to every other slaughterhouse in the component. From an epidemiological perspective, for disease management, empirically derived small-world networks could inform decision-makers on the higher potential for a large FMD epidemic within the livestock industry, and could provide insights into the rapid-transmission dynamics of the disease across long distances, despite a standstill of animal movements during the epidemic, given a single incursion of infection in any slaughterhouse in the country.

• Asia pacific journal of information systems
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• v.18 no.3
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• pp.21-43
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• 2008

The task network which is formed of different individuals can be recognized as a social network. Therefore, the way to communicate with people inside or outside the network has considerable influence on their outcome. Moreover, the position on which a member stands in a network shows the different effects of the information systems supporting communication with others. In this paper, it is to be studied how personal CMC (computer-mediated communication) tools affect the mission that those who work for a network perform through diverse task networks. Especially, we focused on synchronicity of CMC. On this score, the perspective of Media Synchronicity Theory was taken that had been suggested by criticizing Media Richness Theory. It is the objective, from this perspective, to find which characteristics of networks make the value of IT supporting synchronicity high. In the research trends of social networks, there have been two traditional perspectives to explain the effect of network: embeddedness and diversity ones. These differ from the aspect which type of social network can provide much more economic benefits. As similar studies have been reported by various researchers, these are also divided into the bonding and bridging views which are based on internal and external tie, respectively, Size, density, and centrality were measured as the characteristics of personal task networks. Size means the level of relationship between members. It is the total number of other colleagues who work with a specific member for a certain project. It means, the larger the size of task network, the more the number of coworkers who interact each other through the job. Density is the ratio of the number of relationships arranged actually to the total number of available ones. In an ego-centered network, it is defined as the ratio of the number of relationship made really to the total number of possible ones between members who are actually involved each other. The higher the level of density, the larger the number of projects on which the members collaborate. Centrality means that his/her position is on the exact center of whole network. There are several methods to measure it. In this research, betweenness centrality was adopted among them. It is measured by the position on which one member stands between others in a network. The determinant to raise its level is the shortest geodesic that represents the shortest distance between members. Centrality also indicates the level of role as a broker among others. To verify the hypotheses, we interviewed and surveyed a group of employees of a nationwide financial organization in which a groupware system is used. They were questioned about two CMC applications: MSN with a higher level of synchronicity and email with a lower one. As a result, the larger the size of his/her own task network, the smaller its density and the higher the level of his/her centrality, the higher the level of the effect using the task network with CMC tools. Above all, this positive effect is verified to be much more produced while using CMC applications with higher-level synchronicity. Among the a variety of situations under which the use of CMC gives more benefits, this research is considered as one of rare cases regarding the characteristics of task network as moderators by focusing ITs for the operation of his/her own task network. It is another contribution of this research to prove empirically that the values of information system depend on the social, or comparative, characteristic of time. Though the same amount of time is shared, the social characteristics of users change its value. In addition, it is significant to examine empirically that the ITs with higher-level synchronicity have the positive effect on productivity. Many businesses are worried about the negative effect of synchronous ITs, for their employees are likely to use them for personal social activities. However. this research can help to dismiss the concern against CMC tools.

• Asia pacific journal of information systems
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• v.27 no.3
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• pp.139-155
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• 2017

As social media are increasingly being used as a marketing platform, electronic word-of-mouth (eWOM) has also become popular in both research and business areas. However, although many studies have examined the effect of eWOM, the products investigated in most of these studies, such as films or books, are not likely to be consumed daily. Therefore, in this study, we analyze the effect of eWOM on low involvement products, which are inexpensive and enough for everyday spending. Given that low involvement products have unique characteristics such as low price, we conduct an experiment using a real sales dataset related to soft drinks. We also analyze the effect of eWOM in two social media platforms. We find that eWOM influences the sales of low involvement products, but such influence is dependent on the characteristic of the social media platform. Based on these results, we suggest that marketers and retailers selling low involvement products must consider eWOM, such as reviews, and differentiate their strategies based on their focused social media platform.