• Korean Journal of Human Ecology
• /
• v.21 no.6
• /
• pp.1145-1160
• /
• 2012

This study empirically compared generational differences in responses between baby boomers, Generation X, and Generation Y groups as measured by key variables related to advertisement. The respondents in this study were consumers throughout Korea, with 914 survey questionnaires used for the final analyses. Eight of the original 10 hypotheses were validated and two were rejected. Both baby boomer consumers and Generation Y consumers showed more positive responses to affective advertisements than their Generation X counterparts. Generation Y consumers showed more positive attitudes towards humorous advertisements than their baby boomer and Generation X counterparts. The effect of advertising models on the evaluation of advertisements was greater among Generation Y consumers than their Generation X counterparts. Generation Y consumers showed more positive attitudes towards storytelling-type marketing than their baby boomer and Generation X counterparts. Baby boomer consumers showed more positive attitudes towards symbolic advertisements than their Generation X and Generation Y counterparts. Generation X consumers showed more positive attitudes towards functional advertisements than the baby boomer and Generation Y groups. There were significant differences in attitudes towards two types (symbolic and functional) of advertisements in both baby boomer consumers and Generation X consumers.

• Korean Journal of Agricultural and Forest Meteorology
• /
• v.6 no.4
• /
• pp.242-249
• /
• 2004

This study was conducted to develop a forest fire occurrence model using meteorological characteristics for the practical purpose of forecasting forest fire danger. Forest fire in South Korea is highly influenced by humidity, wind speed, and temperature. To effectively forecast forest fire occurrence, we need to develop a forest fire danger rating model using weather factors associated with forest fire. Forest fore occurrence patterns were investigated statistically to develop a forest fire danger rating index using time series weather data sets collected from 8 meteorological observation centers. The data sets were for 5 years from 1997 through 2001. Development of the forest fire occurrence probability model used a logistic regression function with forest fire occurrence data and meteorological variables. An eight-province probability model by was developed. The meteorological variables that emerged as affective to forest fire occurrence are effective humidity, wind speed, and temperature. A forest fire occurrence danger rating index of through 10 was developed as a function of daily weather index (DWI).

• Mood & Emotion
• /
• v.16 no.3
• /
• pp.163-168
• /
• 2018

Objectives : The purpose of this study was to examine effects of traumatic experiences in childhood, on depressive symptoms of college students, and to determine how depression depended on positive psychological resources. Methods : A total of 430 students were recruited, from two universities in Jeju area. All participants completed self-report questionnaires, that included demographic variables, Adverse Childhood Experience (ACE) Scale, Patient Health Questionnaire-9, and Positive Resources Test (POREST). Results : Prevalence of depression was 47.9%, and a total of 133 (30.9%) college students reported traumatic experiences in childhood. Students with depressive symptoms, were likely to report more traumatic experiences in childhood, and less positive psychological resources. Results from regression analyses indicated that, while controlling for a range of demographic variables, positive psychological resources moderated the association, between traumatic experiences in childhood and depression. Conclusion : Based on results, professionals must consider positive psychological and social resources, for treatment to reduce depressive symptoms in patients with history of childhood adversity.

• The Journal of Society for e-Business Studies
• /
• v.24 no.2
• /
• pp.179-197
• /
• 2019

Although there have been lots of studies about users' behaviors online, few have explored the mechanism of hostile behaviors. In this sense, this study aims at discovering what may elevate users' hostile behaviors. More specifically, we tried to find the relationship between flaming behavior and perception factors such as perceived risk, anonymity and expected emotional reaction. A survey was conducted to investigate the relationship of the above variables. As a result, all these variables show significant effects on flaming, and information overload are found to act as a moderator. We carefully conclude that flaming in online community can be reduced by preventing information overload each user perceives.

• The Journal of Asian Finance, Economics and Business
• /
• v.8 no.4
• /
• pp.507-515
• /
• 2021

Knowledge-Worker Productivity (KWP) has been influenced by Knowledge Management Process (KMP); however, past studies derived inconsistent findings of the relationship between the two variables. Additionally, the effect of KMP on KWP in the context of universities in Sri Lanka has not been adequately studied. Therefore, this present study aims to fill that gap by examining KMP elements' effect, namely knowledge creation, knowledge sharing, and usage on KWP, specifically the timeliness, proficiency, and independence of employees. This study also examines the role of employee engagements (i.e., intellectual, social, and affective) in mediating the effect of KMP on KWP. The questionnaire survey method was utilized to collect data from relevant university employees, i.e., lecturers, senior lecturers, and professors, whereby 264 valid responses were used in the analysis. The associations between KMP, Employee Engagement, and KWP were analyzed using the path analysis and bootstrapping methods. The outcomes demonstrated positive correlations between all three variables. Employee Engagement was shown to have a partial mediating effect on the KMP-KWP association. The general conclusion is that KWP is influenced by its capacity to increase employee engagement via KMP.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
• /
• v.9 no.6
• /
• pp.129-144
• /
• 2014

This study is to examine the effect of mutualistic benevolence, altruistic benevolence, and communication on affective commitment, calculative commitment, and switching intentions and investigate how two commitment dimensions play mediating roles between two benevolence constructs and communication, and switching intentions. For these purposes the author developed a structural model which consists of several constructs. In this model, benevolence factor that consists of mutualistic benevolence and altruistic benevolence, and communication were proposed to affect two commitment constructs and result in, increase switching intentions. Thus, two commitment constructs(e.g., affective and calculative commitment) were proposed as core mediating variables between mutualistic benevolence, altruistic benevolence, and communication, and switching intentions. The data were collected from 210 automobile parts buyers and were analyzed using frequency, reliability, and confirmatory factor analysis and SEM (structural equation model) with SPSS/WIN 20.0 and AMOS 20.0. The data were analyzed with structural equation modeling with AMOS 20.0 and SPSS Win/PC 20.0. The result of the overall model analysis appeared as follows: ${\chi}2=224.885$, d.f=123(${\chi}2/df=1.828$), p=0.000, GFI=.898, AGFI=.859, IFI=.967, NFI=.930, TLI=.958, RMSEA=.063, CFI=.966. Since the result of the overall model analysis demonstrated a good fit, we could further analyze our data. The findings can be summarized as follows: According to structural equation modeling analysis, firstly, mutualistic benevolence has direct effects on calculate commitment and affective commitment. Secondly, altruistic benevolence has a positively direct effect on calculate commitment. Thirdly, communication has a statistically direct effect on affective commitment. Fourthly, calculative commitment has direct effects on affective commitment and switching intentions. Lastly, affective commitment has a direct effect on switching intentions.

• The Journal of the Korea Contents Association
• /
• v.8 no.12
• /
• pp.334-346
• /
• 2008

The study examined the relationship between servant leadership and organizational commitment and tested the mediating role of the organizational trust between the two variables. Measurement of servant leadership used intactly 23 items of a preceding research. Empirical analysis result can be summarized as follows. Firstly. the servant leadership has positive influence on organizational trust. Secondly. servant leadership has significant influence on affective commitment and normative commitment, but could not reach the significance level for continuance commitment. Lastly, this study was proved there was an partial mediating effect of organizational trust, between the servant leadership and affective commitment, normative commitment, but could not reach the significance level for continuance commitment. And if the organizational trust is higher, the extent of the servant leadership's influence on organizational commitment would be higher.

• Journal of the Korean Society for Library and Information Science
• /
• v.46 no.2
• /
• pp.199-217
• /
• 2012

This study analyzes the correlation between the library anxiety and personality traits. The library anxiety (LAS) and personality traits (the Korean BFI) were measured against 49 freshmen in the university. The library anxiety was average 2.57, 'mechanical barriers' score was the highest(2.91), subsequently was 'affective barriers' 2.72, 'barriers with staff' 2.49, 'knowledge of library' 2.42, and 'comfort with the library' score was the lowest(2.38). The personality traits had the tendency that 'agreeableness'f actor(3.65) is higher than other 4 factors, 'neuroticism'(3.48), 'extraversion'(3.27), 'openness'(2.85), and 'conscientiousness' (3.26). It found that 'comfort with the library' and 'neuroticism' were correlated statistically and the personality traits have an effect on library anxiety. Based on the findings, the following recommendations are made: improving the measurement tool of information anxiety, using other personality traits variables in similar researches, and developing personalized library anxiety resolution programs.

• Korean Journal of Biological Psychiatry
• /
• v.12 no.2
• /
• pp.165-172
• /
• 2005

Objectives:The purpose of this study is to 1) conduct a discrimination analysis of schizophrenia and bipolar affective disorder using MMPI profile through artificial neural network analysis and logistic regression analysis, 2) to make a comparison between advantages and disadvantages of the two methods, and 3) to demonstrate the usefulness of artificial neural network analysis of psychiatric data. Procedure:The MMPI profiles for 181 schizophrenia and bipolar affective disorder patients were selected. Of these profiles, 50 were randomly placed in the learning group and the remaining 131 were placed in the validation group. The artificial neural network was trained using the profiles of the learning group and the 131 profiles of the validation group were analyzed. A logistic regression analysis was then conducted in a similar manner. The results of the two analyses were compared and contrasted using sensitivity, specificity, ROC curves, and kappa index. Results:Logistic regression analysis and artificial neural network analysis both exhibited satisfactory discriminating ability at Kappa index of greater than 0.4. The comparison of the two methods revealed artificial neural network analysis is superior to logistic regression analysis in its discriminating capacity, displaying higher values of Kappa index, specificity, and AUC(Area Under the Curve) of ROC curve than those of logistic regression analysis. Conclusion:Artificial neural network analysis is a new tool whose frequency of use has been increasing for its superiority in nonlinear applications. However, it does possess insufficiencies such as difficulties in understanding the relationship between dependent and independent variables. Nevertheless, when used in conjunction with other analysis tools which supplement it, such as the logistic regression analysis, it may serve as a powerful tool for psychiatric data analysis.

• The Journal of the Korea Contents Association
• /
• v.14 no.11
• /
• pp.1008-1018
• /
• 2014

The purpose of this study is to investigate whether there are differences in academic self-efficacy and test anxiety between two groups(depending on gender and English achievement levels) of Korean middle school students. The subjects are 98 students who are 36 male and 62 female students. Two Questionnaires were administered to measure the learners' academic self-efficacy and test anxiety level. And the collected data were analyzed by t-test to examine the differences between two groups. The results of this study showed that there were statistically very significant differences in academic self-efficacy and test anxiety between two(male-female) groups. But there were no differences statistically in academic self-efficacy and test anxiety between two(high level-low level) groups. Further studies need to be conducted carefully considering the limitations of this study in terms of its instruments and subjects. Also the differences in other affective variables between two groups need to be studied in the future.