• Asian Pacific Journal of Cancer Prevention
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• v.15 no.6
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• pp.2893-2900
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• 2014

Background: Statistical methods are very important to precisely measure breast cancer patient survival times for healthcare management. Previous studies considered basic statistics to measure survival times without incorporating statistical modeling strategies. The objective of this study was to develop a data-based statistical probability model from the female breast cancer patients' survival times by using the Bayesian approach to predict future inferences of survival times. Materials and Methods: A random sample of 500 female patients was selected from the Surveillance Epidemiology and End Results cancer registry database. For goodness of fit, the standard model building criteria were used. The Bayesian approach is used to obtain the predictive survival times from the data-based Exponentiated Exponential Model. Markov Chain Monte Carlo method was used to obtain the summary results for predictive inference. Results: The highest number of female breast cancer patients was found in California and the lowest in New Mexico. The majority of them were married. The mean (SD) age at diagnosis (in years) was 60.92 (14.92). The mean (SD) survival time (in months) for female patients was 90.33 (83.10). The Exponentiated Exponential Model found better fits for the female survival times compared to the Exponentiated Weibull Model. The Bayesian method is used to obtain predictive inference for future survival times. Conclusions: The findings with the proposed modeling strategy will assist healthcare researchers and providers to precisely predict future survival estimates as the recent growing challenges of analyzing healthcare data have created new demand for model-based survival estimates. The application of Bayesian will produce precise estimates of future survival times.

• The Journal of the Korea Contents Association
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• v.14 no.4
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• pp.336-345
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• 2014

Social dating contents that transformed from online dating service needs understanding about the market status, magnitude, business concept and related area, and its development process. Nowadays the field of dating service had expanded from off-line to on-line, and then started to be changed to social dating services with the development of the highest smart phone penetration rate. Therefore, we investigated about the market, business concept and its functions of social dating application, and then classified the typology of those social dating applications according to feature with utilization rate of user. We had described about its partial deficits and improvements on the social dating application through comparative analysis and business model analysis about successful case. As conclusions, we suggested future strategies of competition and directivity with an improving way about concrete plan for industry development of social dating application.

• Journal of Families and Better Life
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• v.15 no.1
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• pp.71-82
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• 1997

This paper concerns with parent-child relationship program for the adolescents' parents(PCRP). The purpose of this paper is to develop a model for the strength of the relationship between parents and their children as well as to prevent adolescent's individual and social problems The contents of PCRP based on the theoretical background consist of our parts: understanding adolescent physical and psychological development understanding adolescent sexuality developing effective communication skills and developing conflict solving skills. Implicationsh for the program evaluation methods and further development of family life education are discussed.

• Journal of the Korean Society of Industry Convergence
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• v.27 no.4_2
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• pp.961-972
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• 2024

As the global elderly population rapidly increases, the mental health of the elderly, particularly depression, has emerged as a significant social issue. This study analyzes the various factors influencing depression in the elderly based on the ICF model. Utilizing data from the Korea Welfare Panel Study, the study identifies the types of changes in depression among individuals aged 65 and older and examines the factors influencing these changes. This longitudinal secondary data analysis research uses the most recent three years of data (2021-2023) from the Korea Welfare Panel. The study sample consisted of 965 elderly individuals, and a latent class growth model was applied to identify the types of depression changes, while a multinomial logistic regression analysis was conducted to analyze the influencing factors. The analysis revealed that elderly depression could be categorized into four types: high-level decrease, high-level maintenance, low-level increase, and low-level maintenance. Main influencing factors included gender, age, education, poverty, social trust, social relationships, participation in economic activities, participation in religious activities, and health status. Particularly, social relationships and health status were significant factors affecting the types of depression changes. To mitigate depression in the elderly, a multifaceted approach considering both individual characteristics and social relationships and health status is required. The study suggests the development of community-based programs and trust-building activities at the community level to maintain and strengthen the social relationships of the elderly. These findings can serve as important foundational data for policies and practices aimed at improving the mental health of the elderly.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.18 no.3
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• pp.97-113
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• 2023

In order to generalize the social entrepreneurship model with cooperation orientation and increase the possibility of using the model, this study developed a measurement tool and tested it with 389 executives of social enterprises. For the development of the measurement tool, preliminary measurement items were formed through review of previous studies, and a questionnaire was tentatively composed of 40 measurement items in five areas through an expert panel review of the measurement items. A total of 389 questionnaires were collected by conducting a questionnaire survey targeting Korean social enterprise managers, and exploratory and confirmatory factor analysis were conducted using 375 questionnaires that could be analyzed. Five factors for 24 items were derived through exploratory factor analysis and reliability analysis. Through a series of analysis processes including primary and secondary confirmatory factor analysis, the model fit of the newly constructed social entrepreneurship research model was confirmed, and the validity and reliability of the measurement tools were verified. As a result of this study, the model fit of the social entrepreneurship model(social value orientation; innovativeness; pro-activeness; risk-taking; cooperation orientation) is verified, thereby improving the theoretical explanatory power of social entrepreneurship research and at the same time providing the basis and basis for theoretical expansion of follow-up research. The study proved the possibility of generalizing the social entrepreneurship model with added cooperation orientation, and at the same time, the measurement tool used in this study was widely used as a tool to measure social entrepreneurship theoretically and practically. In addition, it was confirmed that the cooperation orientation is manifested in corporate decision-making and activity behaviors for resource mobilization and capacity building, opportunity and performance creation, social capital and network reinforcement, and governance establishment of social enterprises.

• Journal of Information Technology Services
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• v.22 no.1
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• pp.75-93
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• 2023

The game industry has grown not only by combining them with various technologies also introducing new types of business models such as P2P, F2P, and P2W. Furthermore, games which implemented X2E model with blockchain technology are recently in the spotlight of the public attention. As domestic game companies have also prospect the blockchain games feasible, they are seeking ways to expand their global market share by strengthening the X2E model. Hence, by carrying this new business model out, it is expected to diversify their global revenue stream, which was previously confined to Asia region. This study analyzed the case of companies that have implemented the P2E and C2E models in order to suggest the direction of development for the game platform in Web 3.0 era. The cases of P2E game platform, which constitute of Axie Infinity and Mir 4, encompass the compensation structure, the stabilization mechanism of the in-game token economy, and future strategies regarding blockchain gaming. Likewise, the platform structure, business model, and future growth potential was discussed in terms of C2E scheme, focusing on the ZEPETO and Roblox cases. Based on the above case analysis, this study attempted to provide information on the current limitations and development directions of the P2E and C2E platforms. The current limitations in legal and industrial aspects should be addressed to facilitate the blooming of blockchain and P2E game industry. In addition, the necessity of not only social support also improvement on the technology and social stigma of full-time creators is ought to be emphasized in an effort to encourage the development of C2E platforms.

• The Journal of Asian Finance, Economics and Business
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• v.9 no.1
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• pp.53-61
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• 2022

The goal of this research was to find the relationship between the work environment and societal issues that impede women's advancement to senior management positions. The study included 500 women professionals from diverse firms in Pakistan's business sector, of whom 100 were chosen as the sample size using a purposive sampling method. Experts confirmed the validity of the study tool, which was a questionnaire, and Cronbach's alpha coefficient was used to verify its reliability (0.704-0.982). The model's standardized regression coefficients suggested that social factors (0.298) were the most important factors determining women's empowerment in terms of career development and that they were further influenced by factors related to the work environment (0.411). It was concluded that organizational rules for female employees assist them to maintain a balance between work and family, resulting in a less stressful working environment. The role of the social factor as a mediator is also thought to be important in maintaining a healthier work environment in companies. It was also determined that much more work needs to be done on promotional regulations, as well as gender-blind legislation so that women's professional advancement is not limited to middle management.

• Journal of the Korean Operations Research and Management Science Society
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• v.38 no.2
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• pp.117-139
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• 2013

Due to the recent development of SNS(Social Network Service) which is represented by Twitter and Facebook, social commerce market which combines on-line shopping mall and SNS is expanding. With increasing speed of its market, this study is to focus on detecting the crucial variables promoting the use intention, which results in the sustainable competitive advantage in social commerce market. This research empirically analyzed the use intention of social commerce. Also, this study explores the moderating effects of gender in explaining intention to use social commerce. A technology acceptance model is applied for pinpointing the antecedents of intention to use social commerce and for revealing cross-gender differences. The results from a survey of 452 participants reveal that the effects of perceived risk, perceived usefulness, ease for use and subjective norm on intentions to use social commerce differ across gender. Findings imply that the risk-free quality and portrayal of in-group or out-group situations of social commerce need to be communicated to female consumers, along with the social norms of using social commerce. When targeting male consumers, the technological features illustrating the usefulness of social commerce should be focused. This study will provide diverse implications companies providing social commerce services.

• The Journal of Information Systems
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• v.21 no.3
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• pp.163-186
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• 2012

With the development of Internet and transition to information society, social capital is expanding to online from the traditional offline context. Especially with the widespread of social network service(SNS) the number of SNS users is increasing sharply and the importance of online social capital has been more and more significant. Most studies on social capital focused on organizational aspects but few studies have payed attention to personal aspect. Empirical studies on the relation between SNS and social capital were seldom conducted in previous studies. Based on the theory of social capital this study targets on the relationship formed through SNS and analyzes on how the relationship affects the perceived social capital. In this study 'self-presentation', 'playfulness' and 'critical mass' are posited as the antecedent factors of 'SNS usage'. This study proposes a research model to examine the effect of 'SNS usage' on 'relationship reinforcement', 'relationship building' and 'perceived social capital'. According to the results of empirical analysis, 'self-presentation', 'playfulness' and 'critical mass' can generate significant positive influence on 'SNS usage'. It also confirms not only the effect of 'relationship reinforcement' and 'relationship building' formed through SNS on 'perceived social capital' but also relationship between the social capital formation and SNS usage. The outcome obtained in this study can be applied in developing SNS services.

• The Journal of the Korea Contents Association
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• v.15 no.6
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• pp.399-410
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• 2015

The primary goal of the study is to examine the possibility of applying the time series model to forecasting demand and supply of social services. In the study, we used survey data based on a nationally represented sample which is secondary processed data. We selected developmental rehabilitation service. The analysis, we made models of a demand and a supply using time series analysis. Utilizing the estimates, we identified each model's pattern. This study provides an empirical evidence to suggest benefits of using the time series model for forecasting the demand and the supply pattern of newly introduced social services. We also provide discussions on policy implications of utilizing demand and supply time series models in the process of developing new social services.