• Journal of the Korea Convergence Society
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• v.13 no.4
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• pp.499-511
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• 2022

The purpose of this study is to verify the moderating effect of the social support (emotional support, informational support, material support, and appraisal support) on the effect of depression of middle-aged women on internet addiction. The 509 samples were selected through an online survey, and the collected data were conducted using the SPSS WIN26.0 program for frequency analysis, descriptive statistics, correlation analysis, and hierarchical regression analysis. As a result of the analysis, depression had a static effect on Internet addiction. Informational support and material support, among the four sub-factors of social support served as a moderator variable in the relationship between depression and Internet addiction. Based on the results, the followings were proposed; It emphasizes differentiated welfare services and interdisciplinary convergence research that are suitable for middle-aged women's characteristics, and suggests the necessity of internet addiction prevention education such as proper usage habits for internet use.

• Journal of the Korea Convergence Society
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• v.12 no.11
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• pp.391-401
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• 2021

The purpose of this study was to verify the moderating effects of the stress coping styles on the effects of internet addiction on the self-esteem of the 2030 generation during the Covid19 period. The 762 samples were selected through an online survey, and the collected data were conducted using the SPSS WIN26.0 program for frequency analysis, correlation analysis, and hierarchical regression analysis. As a result of the analysis, Internet addiction had a negative effect on self-esteem, and only seeking social support among the four sub-factors of stress response served as a moderator variable in the relationship between Internet addiction and self-esteem. Based on the results, the followings were suggested: expansion of research subjects regarding Internet addiction and interdisciplinary convergence study, providing universal provision of stress coping management programs, building a community at the local level, and discovery and reinforcing variables that offset the negative role of self-esteem of 2030 generations.

• Journal of Distribution Science
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• v.16 no.3
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• pp.79-86
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• 2018

Purpose - Many retail stores tend to use scarcity-laden message in order to influence consumers, where scarcity refers to insufficiency of product supply or time of availability. For example, inside stores, the displayed products are often accompanied by scarcity message such as 'exclusive offer, limited time only.' According to past research, scarcity has a positive effect on product evaluation, since scarcity can acts as a signal of consumer demand, and thus product quality. Prior studies argue that consumers face a scarce product, they logically infer that other consumers buying the product in large numbers cause the scarcity. We propose that scarcity can be interpreted as a sales tactic artificially created by retail stores in order to increase sales of product. Research design, data, and methodology - We use a persuasion knowledge perspective framework to develop our hypotheses. In the present research, we show that product curation type is a key variable that moderates consumer response to scarcity, and thus the scarcity effect on product evaluation. Results - In this research, we showed when scarcity-laden message was used inside the store using consumer-centric curation message, scarcity had a positive effect on product evaluation. In contrast, when scarcity-laden message was used inside the store using marketer-centric curation message, the positive of scarcity message on product evaluation was diluted. Conclusions - Our study makes two important contributions to the literature on consumer response to scarcity. First, we identify a variable - namely, product curation type - that determines when either 'scarcity = good' or 'scarcity = marketing tactic' interpretation is likely to be dominant. Second, we cite persuasion knowledge perspective to explain the moderating function of product curation type in a retail store-related scarcity context. This research is relevant to practitioners, such as brand manager, retail environment manager, and advertising agencies, for the effective use for the scarcity-laden message in retail. The proposed moderator can operate in many real-life situations in retail where consumers are exposed to scarcity. And curation message related to scarcity has been facilitated by the inner-retail activities. These factors of the marketplace indicate that the boundary conditions of scarcity can have a significant effect on real-life consumer judgment.

• Journal of Digital Convergence
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• v.19 no.8
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• pp.113-132
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• 2021

This study is about the factors affecting organizational effectiveness and to suggest implications for encouraging organizational effectiveness. The conditional process model was analyzed with transformational leadership as an independent variable, educational service quality as a mediator, organizational effectiveness as a dependent variable, and trust as a moderator. The data collected from the financial institutions were analyzed using SPSS v22.0 and PROCESS macro v3.4. As a result, transformational leadership has a (+) effect on educational service quality, and educational service quality has a (+) effect on organizational effectiveness. Except for the relationship between charisma and innovative behavior, transformational leadership affect organizational effectiveness. Excluding the relationship between charisma and innovative behavior, educational service quality mediate between transformational leadership and organizational effectiveness. Trust only moderates between educational service quality and innovative behavior. Trust moderated the mediating effect of educational service quality between transformational leadership and innovative behavior. The results suggest the importance of education service quality management in a non-face-to-face working environment and the importance of individual consideration in innovative actions.

• Korean small business review
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• v.42 no.4
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• pp.147-172
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• 2020

This study presents the determinants of R&D efficiency as the focus on CEO's competency, which influences R&D competency and R&D efficiency. The research samples are 6,708 technology-innovation small and medium-sized enterprises (SMEs). The independent variable is the R&D competency(existence of R&D organization, level of R&D personnel, R&D personnel management, R&D investment), the dependent variable is R&D efficiency. The moderator is the CEO's competency(experience level in its own industry, technical knowledge level, technology management strategy, management ability). R&D efficiency measures the relationship between inputs(level of R&D personnel, R&D investment) and outputs(patent applications, prototype) by the DEA. and the determinant analysis uses Tobit regression. As a result of the analysis, the existence of R&D organization and R&D personnel management is positively significant, level of R&D personnel and R&D investment is negatively significant for R&D efficiency. The moderating effect of CEO's competency on the relationship between the R&D competency and R&D efficiency is significant determinants of CEO's experience(experience level in its own industry, technical knowledge level) and technology management strategy. The finding is to measure the efficiency of R&D performance, and to analyze its determinants as the moderating effect of CEO's competency, using the technology appraisal data. In the conclusion session, the limitations of the research and future research directions were discussed.

• Journal of Venture Innovation
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• v.3 no.2
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• pp.41-76
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• 2020

This study confirmed factors affecting smart factory technology acceptance through empirical analysis. It is a study on what factors have an important influence on the introduction of the smart factory, which is the core field of the 4th industry. I believe that there is academic and practical significance in the context of insufficient research on technology acceptance in the field of smart factories. This research was conducted based on the Unified Theory of Acceptance and Use of Technology (UTAUT), whose explanatory power has been proven in the study of the acceptance factors of information technology. In addition to the four independent variables of the UTAUT : Performance Expectancy, Effort Expectancy, Social Influence, and Facilitating Conditions, Government Assistance Expectancy, which is expected to be an important factor due to the characteristics of the smart factory, was added to the independent variable. And, in order to confirm the technical factors of smart factory technology acceptance, the Task Technology Fit(TTF) was added to empirically analyze the effect on Behavioral Intention. Trust is added as a parameter because the degree of trust in new technologies is expected to have a very important effect on the acceptance of technologies. Finally, empirical verification was conducted by adding Innovation Resistance to a research variable that plays a role as a moderator, based on previous studies that innovation by new information technology can inevitably cause refusal to users. For empirical analysis, an online questionnaire of random sampling method was conducted for incumbents of domestic small and medium-sized enterprises, and 309 copies of effective responses were used for empirical analysis. Amos 23.0 and Process macro 3.4 were used for statistical analysis. For accurate statistical analysis, the validity of Research Model and Measurement Variable were secured through confirmatory factor analysis. Accurate empirical analysis was conducted through appropriate statistical procedures and correct interpretation for causality verification, mediating effect verification, and moderating effect verification. Performance Expectancy, Social Influence, Government Assistance Expectancy, and Task Technology Fit had a positive (+) effect on smart factory technology acceptance. The magnitude of influence was found in the order of Government Assistance Expectancy(β=.487) > Task Technology Fit(β=.218) > Performance Expectancy(β=.205) > Social Influence(β=.204). Both the Task Characteristics and the Technology Characteristics were confirmed to have a positive (+) effect on Task Technology Fit. It was found that Task Characteristics(β=.559) had a greater effect on Task Technology Fit than Technology Characteristics(β=.328). In the mediating effect verification on Trust, a statistically significant mediating role of Trust was not identified between each of the six independent variables and the intention to introduce a smart factory. Through the verification of the moderating effect of Innovation Resistance, it was found that Innovation Resistance plays a positive (+) moderating role between Government Assistance Expectancy, and technology acceptance intention. In other words, the greater the Innovation Resistance, the greater the influence of the Government Assistance Expectancy on the intention to adopt the smart factory than the case where there is less Innovation Resistance. Based on this, academic and practical implications were presented.

• Korean Business Review
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• v.12
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• pp.161-187
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• 1999

Organ(1988) has suggested that OCB should be considered an important component of job performance because citizenship behaviors are part of the spontaneous and innovative behaviors. Also it has been suggested that organizational characteristics may potentially explain many organizational behavior outcome variables(Hackman & Oldham, 1980). In recent years there has been a resurgence of interest in the validity of personality measures as a moderator between many variables and organizational outcome variables. This is largely due to the facts that first personality is difficult to control for promoting many organizational outcomes and next many researchers have found the moderating effects of personality(Brief & Aldag, 1975; Wanous, 1974). The purpose of this research is to test the moderating effects of tenure and growth needs on the relationships between organizational characteristics and OCB. To assess the moderating effects, the hierarchical regression procedures outlined by Cohen and Cohen(1983) were followed. On the basis of data from 698 teachers in Wonju province, results indicated that job variety has more impacts than any other independent variable on OCB like other studies. It is found that job variety and job identity have more impacts on courtesy and altruism in lower growth needs group than in higher growth needs group. Also it is resulted that job importance and autonomy have more impacts on sportsmanship in higher growth needs group than in lower growth needs group.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.17 no.12
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• pp.582-593
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• 2016

The purpose of this study is to (evaluate) the effectiveness of neurofeedback training (NFT) and systematically search for the related factors by conducting a meta-analysis of theses and journal articles published in (the Korean language/Korea). This study analyzed 21 articles selected through a database search from 2001 to 2015. The quality evaluation result of the research, as research method characteristic, was low. It was found that, first, the effect size of the neurofeedback program training was .683 above the (median). Second, the effect size as the (moderator) variable played a statistically significant role in moderating the effect of the the subject characteristics, including the presence or not of disabilities and school level (elementary, junior high school, high school), on the effectiveness of the neurofeedback training program. Third, (the effect size) played a statistically significant role in mediating the effect of the research method (training method), number of sessions per week, total number of sessions and training time on the effectiveness of the neurofeedback training program. This study provides (comprehensive) data on the effect of the interventions and selection of the neuro-feedback training program subjects.

• International Commerce and Information Review
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• v.16 no.5
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• pp.179-201
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• 2014

The complementary effect between FDI and its absorptive capacity has drawn more attention than before. This paper intended to explore the relationship between energy intensity and such complementary effect. The absorptive capacity of FDI shows various aspects among which we focus on the human capital, the financial system and the infrastructure in this paper. Using the panel data from 1990 to 2011, the study is processed between the 20 OECD and 20 Non-OECD countries. The empirical results shown that for OECD country, a complementary effect exists between FDI and its absorbability and it has the controlling effect on energy reduction. But the effect is only significant in the human capital and the financial system. The infrastructure variable is less important in OECD country due to their high development level. However, for non-OECD country, the complementary effect between infrastructure and FDI reduces energy consumption significantly, it can get to the point that the process for infrastructure to attract FDI and also benefits from it only blow its way to the Non-OECD, developing countries, without andy special effects for the OECD countries which has already highly build up their infrastructure. Also, the financial system in Non-OECD countries is at the primary stage yet, which is not easy to contribute efficiency. To make a conclusion, the complementary effect between infrastructure and FDI in OECD country and which between finical system and FDI in non-OECD country cannot enhance energy efficiency as expected.

• Informatization Policy
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• v.27 no.3
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• pp.82-111
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• 2020

Recently, increasing use of big data have caused regulation factors of personal information and combination of pseudonymized information to emerge as key policy measures. Therefore, this study empirically analyzed the mediating effect and moderating effect of pseudonymized information combination as the third variable in the relationship between regulation factors of personal information and big data utilization. The analysis showed the following results: First, among personal information regulation factors, definition regulation, consent regulation, supervisory authority regulation, and punishment intensity regulation showed a positive(+) relationship with the big data utilization, while among pseudonymized information combination factors, non-identification of combination, standardization of combined pseudonymized information, and responsibility of combination were also found to be in a positive relationship with the use of big data. Second, among the factors of pseudonymized information combination, non-identification of combination, standardization of combined pseudonymized information, and responsibility of combination showed a positive(+) mediating effect in relation to regulation factors of personal information and big data utilization. Third, in the relationship between personal information regulation factors and big data utilization, the moderating effect hypothesis that each combination institution type of pseudonymized information (free-type, intermediary-type, and designated-type) would play a different role as a moderator was rejected. Based on the results of the empirical research, policy alternatives of 'Good Regulation' were proposed, which would maintain balance between protection of personal information and big data utilization.