• Journal of the Korean Home Economics Association
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• v.40 no.11
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• pp.55-69
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• 2002

The purpose of this study is to examine the gender differences in the level of work/family spillover and factors explaining the spillover. Data are gathered from 1,236 Korean men and women aged between 30 to 59, using the structured questionnaire. The main results of this study are as follows. First, both men and women perceive moderate levels of negative and positive spillover from work to family. Second, the levels of negative family to work spillover are higher than then of positive family to work spillover. Third, men report higher levels of positive family to work spillover, but lower levels of negative family to work spillover than women. Sander differences in the levels of negative and positive spillover from work to family are not found. Fourth, only job characteristic factors are associated with four types of spillover of women, while the level of household labor sharing and spousal support are associated with work family spillover of men. Band on these findings, theoretical implications in terms of work-family research and gender norms are discussed.

• Human Ecology Research
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• v.55 no.1
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• pp.13-26
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• 2017

This study investigated the latent groups depending on married working women's work-family spillover. The effects of factors that determine mental health subgroups and differences were also analyzed. Mixture modeling was applied to the Korean Longitudinal Survey of Women & Families to achieve the research objectives. The major findings of this study were as follows. First, there were four subgroups that could be defined according to the work-family spillover: mid-level spillover group (mid-positive and mid-negative spillover group), high-level spillover group (high-positive and high-negative spillover group), low-level spillover group (low-positive and low-negative spillover group), and high-negative and low-positive spillover group. Second, the results of mixture regression analysis to test the effect of eco-system variables showed that age, academic background, non-traditional family value, number of children, work hours, wage income, and availability of the maternity leave were significant determinants of the latent groups. The probability of classifying in the high-negative and low-positive spillover group increased when women showed a lower academic background and wage income, higher number of children and older age, and longer work hours than others. Third, the high-level spillover group, and the high-level spillover group showed the lowest stress and the lowest depression; however, the low-level spillover group reported the highest stress and the highest depression. Implications, limitations, and future directions were discussed based on the results.

• Journal of Families and Better Life
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• v.32 no.5
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• pp.145-161
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• 2014

The purpose of this study examined the differences in work-family spillover process and domains in dual-earner couples with children, using a multidimensional measure of work-family spillover. The subjects of this study were 285 working couples with children. The research tool was questionnaires which consisted of general characteristics of the subjects and multidimensional measure of work-family spillover scale. For data analysis, factor analysis, Cronbach ${\alpha}$, t-test, and paired t-test were performed. Based on analysis of data using factor analysis, three-distinct work-family spillover process can be measured for both wife and husband, time interference, psychological distraction, and energy depletion and the multidimensional measure of work-family spillover is able to validly assess different domains of family life into which spillover occurs. The main results of this study were as following: First, there were significant differences in work-family spillover process according to sex. In work${\rightarrow}$family spillover, male more experienced negative time interference than female, on the other hand, in family${\rightarrow}$work spillover, female more experienced negative energy depletion than male. Second, there were significant differences in domains which work-family spillover occurs according to sex. Male more experienced negative work${\rightarrow}$family spillover than female in marital relations and parent-child relations domains while female more experienced negative family${\rightarrow}$work spillover than male in parent-child relations and home management domains. Third, there were significant differences between wife and husband in work-family spillover process. In work${\rightarrow}$family spillover, husband more experienced negative time interference than wife, on the other hand, in family${\rightarrow}$work spillover, wife more experienced negative energy depletion than husbands. Forth, there were significant differences between wife and husband in domains which work-family spillover occurs. Male more experienced negative work${\rightarrow}$family spillover than female in marital relations, parent-child relations, and leisure life domains. And while husband more experienced negative family${\rightarrow}$work spillover than wife in parent-child relations, wife more experienced negative family${\rightarrow}$work spillover than husband in home management domains.

• The Journal of Asian Finance, Economics and Business
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• v.8 no.5
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• pp.355-364
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• 2021

The main objective of this study is to examine the interactive effect of technology spillover channels on business efficiency within the case study of manufacturing industry of Vietnam during the period from 2012 to 2018. The research model was developed with business efficiency as dependent variable and the relevant factors affecting the technology spillover capacity as independent variables. With a sample of 2,776 cross-sectional enterprises, panel data analysis approach was adopted to estimate the impact of technology spillover issue. Different spillover channels were also included in the analysis to enhance the empirical result. The study reveals that technology spillovers positively influence manufacturing business efficiency, in which horizontal spillover channel produces negative impact and vertical spillover channel, creates positive impact. Several factors that negatively affect the technology spillover capacity of businesses could be mentioned such as limited skills and experiences of workers, methods of implementing R&D, and the existence of FDI enterprises. Meanwhile, the rise of other factors related to joint-venture activities can help to increase the technology spillover capacity of businesses. In addition, skill and experience transfer makes a partial impact since this variable only positively affect the vertical spillover channel and provide no evidence of impact regarding horizontal spillover channel model.

• Journal of Family Resource Management and Policy Review
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• v.17 no.3
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• pp.59-79
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• 2013

The purpose of this study was to develop and validate a scale for the multidimensional assessment of work-family spillover in working couples with children. The subjects of this study were working wives and husbands with children in Daegu. Two surveys were administered, eliciting 243 respondents and 227 respondents, respectively. Then a series of tests were run to analyze the data, including item-to-total correlation, Cramer's V coefficients, item discrimination, Cronbach's ${\alpha}$, and exploratory and confirmatory factor analysis. The results yielded that, first, a preliminary 102 items were developed on the basis of the literature review, and this was narrowed down to 72 items selected with the help of experts. Through preliminary, primary and secondary survey analysis, the scale for the multidimensional assessment of work-family spillover was developed and validated, with a 36 items scale, 18 items for work to family spillover and 18 items for family to work spillover. Furthermore, the scale constructed three spillover processes - time interference, energy depletion, and psychological distraction - and consisted of four different domains of family life into which spillover occurs - namely marital relationship, parent-child relationship, leisure, and housework. The internal reliability was evaluated to show a confidence range of .85 ~.92 for each factor.

• Korea journal of population studies
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• v.33 no.2
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• pp.1-31
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• 2010

As increasing numbers of married women enter the labor force, scholars pay attentions to work-to-family and family-to-work spillover. So accumulating empirical research has been done to examine negative and positive spillover between two life areas. But existing research focuses only on this negative or positive spillover and do not combine these two interdependent aspects of spillover. But individuals experience the negative and positive spillover everyday. Therefore scholars point out the need of research to represent this reality of married men and women. Using data from a sample of 721 male and 359 female married workers, this study try to examine the 'global' measures of spillover between work and family. In particular, this study focuses on gender differences in this global measures and some potential factors influencing levels of global spillover. I find that while women and men do not differ in global work-to-family spillover, they do differ in global family-to-work spillover. It is found that four out of ten wives belong to 'high' in negative family-to-work spillover and 'low' in positive family-to-work spillover and only one out of ten wives belong to 'low' in negative family-to-work spillover and 'high' in positive family-to-work spillover. It is well documented that women do the bulk of family responsibilities such as housework and childrearing and consider home as their second workplace. The findings in this paper may represent unequal gender realities.

• Journal of Families and Better Life
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• v.34 no.2
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• pp.65-83
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• 2016

The purpose of this study was to investigate the influences of variables related to family and employment on work-family negative spillover. The subjects of this study were 570 dual-earner with children. The research tool was questionnaires. For data analysis, factor analysis, Cronbach ${\alpha}$, and multiple regression were performed. The main results of this study were as following. First, among variables related to family, spouse support, parental satisfaction, marital satisfaction, perceived fairness in the division of household labor, daily housework hour and family strengths had an influence on $work{\rightarrow}family$ negative spillover in wives, and weekends housework hour, perceived fairness in the division of household labor, perception of the gender role, and satisfaction of the division in household labor had an influence on $work{\rightarrow}family$ negative spillover in husband. Second, among variables related to family, parental satisfaction, number of children influence on $family{\rightarrow}work$ negative spillover in wives, and spouse support, parental satisfaction, satisfaction of the division in household labor, marital satisfaction, and perception of the gender role had an influence on $family{\rightarrow}work$ negative spillover in husband. Third, among variables related to employment, support from workplace, weekly working hour, monthly income, and job satisfaction had an influence on $work{\rightarrow}family$ negative spillover in wives, and support from workplace, monthly income, household income, and weekly working hour had an influence on $work{\rightarrow}family$ negative spillover in husband. Forth, among variables related to employment, support from workplace in wives, and job satisfaction in husband had an influence on $family{\rightarrow}work$ negative spillover. To conclude, there was some difference in the variables influencing $work{\rightarrow}family$, $family{\rightarrow}work$ negative spillover between wife and husband. So, We have to take this difference into consideration in establishing work-family life balance policies.

• Communications for Statistical Applications and Methods
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• v.23 no.3
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• pp.203-213
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• 2016

We investigate volatility spillover aspects of realized volatilities (RVs) for the log returns of the Korea Composite Stock Price Index (KOSPI) and the Hang Seng Index (HSI) from 2009-2013. For all RVs, significant long memories and asymmetries are identified. For a model selection, we consider three commonly used time series models as well as three models that incorporate long memory and asymmetry. Taking into account of goodness-of-fit and forecasting ability, Leverage heteroskedastic autoregressive realized volatility (LHAR) model is selected for the given data. The LHAR model finds significant decompositions of the spillover effect from the HSI to the KOSPI into moderate negative daily spillover, positive weekly spillover and positive monthly spillover, and from the KOSPI to the HSI into substantial negative weekly spillover and positive monthly spillover. An interesting result from the analysis is that the daily volatility spillover from the HSI to the KOSPI is significant versus the insignificant daily volatility spillover of the KOSPI to HSI. The daily volatility in Hong Kong affects next day volatility in Korea but the daily volatility in Korea does not affect next day volatility in Hong Kong.

• Knowledge Management Research
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• v.20 no.1
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• pp.27-43
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• 2019

This paper examines spillover effects of R&D investment in the ICT industry to other industries by analyzing panel data composed of 6 manufacturing industries for the period of 1983~2011. Major findings are as follows; (1) The increase of R&D investment in ICT industry has a significantly positive relationship with the increase in the value-added of the remaining 5 industries with 3~10 year lags, depending on the source of R&D funds and R&D stage. (2) More specifically, public R&D shows the spillover effects during 3~7-year lag periods, whereas private R&D started to exert spillover effects from 9-year lag. The result implies that the public R&D appropriately targets projects with more spillover effects. (3) Basic research, applied research, and development showed the spillover effects for the period of 9~10, 7~10, and 10-year lag, respectively. (4) The R&D investment in 5 other industries such as machinery, chemicals, and materials does not have positive spillover effects to the remaining industries. Few studies have been done to analyze the R&D spillover effects to other industries, with certain limitations. This study contributes to the existing literature by analyzing the spillover effects of the different R&D funds and R&D stages, and by considering various time-lag effects.

• Journal of Families and Better Life
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• v.23 no.4 s.76
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• pp.113-122
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• 2005

The purpose of this study is to examine the work-family conflict and work-family spillover of married working women. For this purpose, this study estimate the level of work-family conflict and spillover and investigate the related variables to then The results are as follows. The level of work-family conflict is ordinary. The level of role conflict as mother is highest and that of role conflict as wife is lowest. The level of work-family spillover is also ordinary and positive work-family spillover and family-work spillover are higher than negative ones. Work-family conflict of married working women have a significant difference according to woman's age, age of first child, number of children, household work time, career years, and support of family. Negative family-work spillover have similar trend with wok-family conflict in affecting variables. This study is meaningful in analyse the work-family spillover of married working women as well as work-family conflict to reveal the positive aspect with negative aspect of work-family. It is needed to eliminate the conditions which cause conflict to married working women and emphasize the positive effect of work-family.