The effect of information system utilization and education and training on organizational innovation in public social welfare officers: Focused on the moderating effect of organizational trust

The purpose of this study is to investigate the impact of information system utilization and education and training on organizational innovation for public social welfare officers in Seoul and verify whether organizational trust plays a role as a moderator variable in these relationships. First, information system utilization and education and training have positive effects on organizational innovation. Second, as a result of investigating the moderating effects of organizational trust, organizational trust has a positive effect on the relationship between information system utilization and organizational innovation, as well as education and training and organizational innovation. Therefore, it is found that information system utilization and education and training are important for innovation of public welfare service. The stronger relationship we have, the higher organizational trust we acquire. Therefore, in order to innovate the organization, it is necessary to strengthen the education training that can utilize the network and the expertise to share information and communicate. It is also necessary to focus on enhancing organizational trust such as mutual consideration, information sharing, and assistance within an organization.     

Perceived Usefulness and Easiness of Information and Communication Technologies and Volunteering among Older Adults

ABSTRACT

This study investigates the association between older adults’ perception of usefulness and easiness (PUE) of Information Communication and Technologies (ICTs) and volunteering, and if this association differs across their income status. Data were obtained from the 2012 wave of the Health and Retirement Study (HRS), and the sample was restricted to respondents aged between 60 and 84 (N = 901) and who completed the 2012 HRS technology module. Multinomial logistic regression was employed to examine the independent and joint influence of PUE of ICTs and of low-income status on volunteering. The results show that only people with high PUE engaged in more than 100 hours of volunteering among older adults after controlling for covariates. The positive effect of high PUE was found to be more significant in the low-income group. This is the first known research to investigate the PUE of ICTs and volunteering among older adults. This study expands the knowledge of volunteering among older adults by exploring ICTs which can be considered as one of the most influential macrosocial changes in the current society. Moreover, our findings provide some insights and an empirical foundation in volunteering programs for older adults of different PUE levels.     

Regularized boxplot via convex clustering

A boxplot is a simple and effective exploratory data analysis tool for graphically summarizing a distribution of data. However, in cases where the quartiles in a boxplot are inaccurately estimated, these estimates can affect subsequent analyses. In this paper, we consider the problem of constructing boxplots in a bivariate setting with a categorical covariate with multiple subgroups, and assume that some of these boxplots can be clustered. We propose to use this grouping property to improve the estimation of the quartiles. We demonstrate that the proposed method more accurately estimates the quartiles compared to the usual boxplot. It is also shown that the proposed method identifies outliers effectively as a consequence of accurate quartiles, and possesses a clustering effect due to the group property. We then apply the proposed method to annual maximum precipitation data in South Korea and present its clustering results.     

Globalization of English teaching and overseas Koreans as temporary migrant workers in rural Korea

One of the most prominent impacts of neoliberal globalization on language is the rise of the importance of English ( Heller 2003 ; Phillipson 2003 ). In today's globalized economy, struggles over the resources of English language education tie English to processes of construction and reproduction of social differences and inequality ( Heller 2002 ). Korea's newly launched Teach and Learn in Korea (TaLK) program is one such example. The TaLK program recruits native speakers of English, including overseas ethnic Koreans, as temporary immigrant workers to teach English to rural elementary students. Using the concept of ‘language management,’ this article demonstrates how the Korean government views transnational Koreans’ ethnicity as an asset, while treating their linguistic resources as manageable commodities. Analyses of policy documents, media coverage, and essays by and interviews with TaLK participants reveal how the TaLK program may contribute to sustaining social differences and inequality in multiple ways, although the program's main goal is to provide equal opportunities to rural students. ???? ??? ??? ?? ? ?? ??? ?? ? ??? ??? ???? ????. ????? ?? ?? ?? ?? ??? ?? ??? ?? ?? ?? ??? ??? ?? ???? ??? ?????. ??? ??? ?? ?? ??? ?? ??? ??? ??? ?? ?? ?? ???? ??? (TaLK) ????? ? ? ??. ? ????? ?? ?? ??? ?? ???? ??? ??? ??? ??? ???? ????. ‘?? ??’?? ??? ??? ? ??? ??? ?? ??? ?? ?? TaLK ????? ???? ????? ???? ????? ????? ?? ??? ?? ??? ???? ?????? ????. ?? ??, ?? ??, ???? ??, ????? ???? ???? ???? ?? ??? ?? ???? ??? TaLK ????? ??? ??? ??, ?????? ???? ??? ????. [Korean]     

韩中文学相遇的意义所在——第一届韩中作家论坛主题演讲稿

预定在今后10年间连续举办的韩中作家论坛的总主题是“和平”,第一届论坛的主题是“创伤与愈合”。对韩中两国来说,近几十年是个人遭受社会创痛并为治愈创痛而备受煎熬的过程。创伤的治愈只能通过揭露而不是掩盖创伤而实现。迄今为止,韩国文学一直致力于创伤的揭露,并为此对政治压制进行了勇敢抵抗。中国文学正式开始揭露现实创伤是在1980年以后。虽然韩中两国文学间差异与相似性共存,但更重要的是超越“韩国文学”和“中国文学”界限而存在的文学普遍性。两国文学间的对话因这种普遍性而成为可能,并使这种普遍性得以显现。     

Forecasting Performance of Information Criteria with Many Macro Series

Stock & Watson (1999) consider the relative quality of different univariate forecasting techniques. This paper extends their study on forecasting practice, comparing the forecasting performance of two popular model selection procedures, the Akaike information criterion (AIC) and the Bayesian information criterion (BIC). This paper considers several topics: how AIC and BIC choose lags in autoregressive models on actual series, how models so selected forecast relative to an AR(4) model, the effect of using a maximum lag on model selection, and the forecasting performance of combining AR(4), AIC, and BIC models with an equal weight.     

Automatic model identification using vector sample autocorrelation function

One of the weaknesses of the ESACF approach for model identification by Tsay and Tiao(1984) is the ambiguity which can be caused by the elements which are in triangle but marginally larger than two standard deviation values. To avoid this drawback, a vector sample autocorrelaton function (VSACF) is defined and an automatic model identification procedure using the VSACF is developed. We illustrate this approach with four examples.     

PROPERTY RIGHTS AND LOSS AVERSION IN CONTESTS

We analyze the effects of property rights and the resulting loss aversion on contest outcomes. We study three situations: in “gain” two players start with no prize and make sunk bids to win a prize; in “loss” both the players start with prizes and whoever loses the contest loses their prize; and in “mixed” only one player starts with a prize that stays with him if he wins, but is transferred to the rival otherwise. Since the differences among the treatments arise only from framing, the expected utility and the standard loss aversion models predict no difference in bids across treatments. We introduce a loss aversion model in which the property rights are made salient, and as a result the reference point varies across treatments. This model predicts average bids in descending order in the loss, the mixed, and the gain treatment; and higher bids by the player with property rights in the mixed treatment. The results from a laboratory experiment broadly support these predictions. There is no significant difference in bids in the loss (gain) treatment and bids by property rights holder (nonholder) in the mixed treatment. A model incorporating both loss aversion and social preferences explains this result. (JEL C91, C72, D23, D74)