Purpose - The objective of this study is to investigate the dynamic relationships among Advertising Cost (AD), Newly Registered Users(NRU), and Buying Users(BU) of Social Network Game(SNG). SNG is getting pervasive mainly due to the rapid growth of mobile game and Social Network Service(SNS). It would be helpful for marketing researchers interested in SNG and related practitioners to understand the changes in AD, NRU, and BU with time as well as the effects on one another in mutual and dynamic way. Research Design, Data, and Methodology - Necessary data were collected from Social Network Game(SNG) company. AD, NRU, and BU are endogenous variables, but new event such as launching (event) and holidays(holiday) are exogenous dummy variables. Vector Auto regression (VAR) model is generally used to examine and capture the dynamic relationships among endogenous variables. VAR model can easily capture dynamic and endogenous relationships among time-series variables. Vector Auto regression with Exogenous variables(VARX) is a model in which exogenous variables are added to VAR. To investigate this study, VARX is applied. Result - By estimating the VARX model, the author finds that the past periods' NRU affect negatively and significantly the present AD, and past periods' BU have a positive and significant impact on the increase of AD. In addition, the author shows that the past periods' AD and BU have a positive and significant effect on the increase of NRU, and the past periods' AD affect positively and significantly BU. While the impact of AD on NRU happens after 3 or 4 days (carryover effect), that of AD on BU comes about within just 1 or 2 days (immediate effect). The effect of BU on NRU can be considered as word of mouth (WOM effect). Therefore, SNG companies can obtain not only the growth of revenue but also the increase of NRU by increasing BU. Through those results, the author can also find that there are significant interactions between endogenous variables. Conclusion - This study intends to investigate endogenous and dynamic relationships between AD, NRU, and BU. They also give managerial implications to practitioners for SNS and SNG firms. Through this study, it is found that there exist significant interactions and dynamic relationships between those three endogenous variables. The results of this study can have meaningful implications for practitioners and researchers of SNG. This research is unique in that it deals with "actual" field data and intend to find "actual" relationships among variables unlike other related existing studies which intend to investigate psychological factors affecting the intention of game usage and the intention of purchasing game items. This study is also meaningful by showing that the increase of BU can be a good strategy for "killing birds with one stone" (i.e., revenue growth and NRU increase). Although there are some limitations related with future research topics, this research contributes to the current research on SNG marketing in the above mentioned ways.
Journal of Korean Academy of Fundamentals of Nursing
/
v.8
no.2
/
pp.199-209
/
2001
The purpose of this study was to examine the relationship between life stress and depression, and the effect of social support in postpartal $4{\sim}6$ week women. Theoretically social support is thought to mediate the relationship between life stress and depression. Data were collected from June 1 to July 30, 1999. The data were analysed by use of SPSS. Two hypotheses were tested using Gamma, a measure of association for ordinal variables. Partial gamma was used to test the third hypothesis. Patterns of elaboration described by Babbie(1986) were selected to interpret the relationship of the three variables in the analyses. The results of this study are summarized as follows ; There was a positive relationship between life stress and depression (Gamma=.45, P=.017), and an inverse relationship between social support and depression (Gamma=-.49, P=.009). Thus the first, two hypotheses were supported. 2. When social support was controlled, the relationship between life stress and depression increased under the condition of low social support, but with high social support, the relationship decreased. It can be interpreted that life stresses are positively related to depression under the condition of low social support, however this relationship cannot be expected with high social support.
Journal of Korean Academy of Fundamentals of Nursing
/
v.12
no.3
/
pp.389-394
/
2005
Purpose: This study was done to examine the relationship between life stress and depression, and the effect of social support of 100 Koreans living in the Phillippines. Theoretically social support is considered to mediate the relationship between lift stress and depression. Method: Data were collected from April 1 to May 30, 2002 and analysed using SAS. The first, two hypotheses were tested using Gamma, a measure of association for ordinal variables. Partial gamma was used to test the third hypothesis. Patterns of elaboration described by Babbie(1986) were selected to interpret the relationship of the three variables in the analysis. Results: 1) There was a positive relationship between life stress and depression(Gamma=.45, p=.017), and a inverse relationship between social support and depression(Gamma=-.561, p=.002). Thus the first, two hypotheses were supported. 2) When social support was controlled, the relationship between life stress and depression increased under the condition of low social support but with high social support, the relationship decreased. Conclusion: It can be interpreted that life stress is positively related to depression under the condition of low social support, however this relationship may be reversed with high social support.
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.
The purpose of this study is to explore the relative influences of juvenile delinquency using variables from Hirschi's social bonding theory, Agnew's general strain theory, Gottfredson and Hirschi's self-control theory, and Akers' social learning theory. The data derived from a sample of 2,018 high school students taken from National Youth Policy Institute in 2013. Multiple OLS regression analysis indicated that social learning theory has the greatest impact on dependent variables than other theories. The results of regression analyses also explore the notion that without the social bond, general strain, and self-control variables, there is very little loss of explained variance when these variables are removed from the full equation. However, when the social learning factors are eliminated from the full equation, the change in $R^2$ is dramatic. This result supported the idea that social learning variables had the strongest effect on the juvenile delinquency of Korean adolescents. The most important implication of this study is that it is the first study to test four major theoretical models for juvenile delinquency in Korea. It also makes a number of important contributions toward the further utilization of social learning in investigating juvenile delinquency for Korean high school students.
Companies shall hold social responsibility as a member of the social community. Corporate social responsibility uses corporate resources, yet it plays important roles in reducing social imbalance. Their responsibilities are highly associated with the corporate sustainability. Many earlier studies on the association between corporate social responsibility and corporate sustainability have been attempted. Yet it should be mentioned that they do not show a variety of realities as linearity between dependent variables and independent variables were assumed. Thus, this study aims to analyze Markov blanket, a node of minimum descriptive variables that relieve a rigid assumption among variables and affect corporate sustainability by using Bayesian network. Sensitivity analysis was used to elicit how other variables affect by reflecting the complex reality when real factors are changed. As an important result of this study, the firm's future earnings sustainability is naturally related to operating earnings, and as the corporate governance structure is sound, the firm is able to steadily fulfill its social responsibility. However, the fact that the size of a company is large does not mean that it is in good compliance with corporate laws. This would not be unrelated to the fact that many of today's companies are not complying with the law and are suffering social condemnation. Results from this study will serve as a useful analytic tool when investors and creditors showing interests in corporate sustainability for assessing the value of companies and making investment decisions. Moreover, they can be used as references for relevant agency supervising capital markets to establish or improve appropriate institutions aimed at improving corporate sustainability.
This study focused on examining the impact of the social context that causes gender differences in entrepreneurship, not the phenomenon itself. Specifically, this study verified the moderating effect of the social context on the relationship between gender and entrepreneurship using data from 20 countries in the Global Entrepreneurship Trend Report (GETR). In order to test hypotheses involving social context implications, Hofstede's cultural dimension factors such as power distance, individualism, masculinity, and uncertainty avoidance variables, and institutional factors such as gender equality and social security are used as specific variables reflecting the social context. Empirical analysis through GLM found that gender did not independently influence entrepreneurship, and gender had a significant effect by interacting with power distance, individualism, uncertainty avoidance, gender equality, and social security variables, respectively. Such empirical results show that the gender difference in entrepreneurship is not due to the unique characteristics inherent in each gender but on the level of the country's social context to which the individual belongs.
The changing trend of longevity from 1955 through 1985 and its interprovincal variation were studied with longevity rate as indicator. In order to detect the affecting factors of longevity rate, eleven urbanalizational, geographic-environmental, demographic and social-economic variables were employed to carry out multiple stepwise regression analysis. The data used for this study were from Population Census Reports 1955-1985 published by EPB and Year book of Public Health and Social Statistics 1986 published by Ministry of Health and Social Affairs and other reference. Subsequent to that longevity rate decreased during 1950's it has increased continuously by the yeat of 1980's. This trend was especially remarkable in the south area and the GIRI mountain area in Korea. The stepwise regression analysis shows that the longevity rates were significantly associated with the independent variables, and the dependent variables explained at the level of 93.7percent-99.9 percent. Longevity is a reflection of the demographic and socio-economic, environmental and health resourses factor etc., longevity problems cannot be dealt with in isolation. The possible research and services which could be provided by government will be discuss.
This study was undertaken to examine the degree of quality of life and to analyze the factors affecting those quality of life in middle-aged men. Method: The subjects of this study were 208 men aged by 35-55 from 3 business enterprises located in Seoul and Incheon. Data collection was conducted through the use of 5 questionnaire. Result: There were significant differences in the quality of life according to marital status, religion, educational level, number of children and total house income. A positive correlation was found between quality of life and all independent variables i.e., health promoting behaviors, health perception, social support, self-esteem and self-efficacy. Stepwise Multiple Regression Analysis revealed that the most powerful predictor was self-esteem. Self- esteem, health perception, health promoting behaviors, marriage, and social support accounted for 65% of the variance in quality of life in middle-aged men. Conclusion: All independent variables i.e., health promoting behaviors, health perception, social support, self-esteem and self-efficacy were related with quality of life in middle-aged men. Therefore it is necessary to develop the nursing intervention with these variables to increase the quality of life for middle-aged men.
The purpose of this study was to explore the dynamics of stepfamilies and the adjustment difficulties such families may experience. The study describes some sociodemographic characteristics of a sample of 117 stepfamilies. The independent variables were stresses due to adjustment difficulties, which were defined as "role strains". Sociodemographic variables included gender, family income level, length of time since remarriage, type of stepfamily, and the existence of any children born to the new marriage. The dependent variable was the extent of stepfamily adjustment, expressed as a scale. The factors influencing family adjustment included stepparent gender, family income level, type of stepfamily, and various role strain variables (family boundary ambiguity, role conflict, etc.). Practical recommendations for social work are made and possibilities for future research in this area are discussed based on the results of this study.
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