• Journal of Information Technology Applications and Management
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• v.31 no.3
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• pp.19-37
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• 2024

Recently, companies have adopted various types of smartwork. In this study, various factors were examined to identify the main factors that can increase smartwork satisfaction, individual performance, and organizational performance. As the main variables, individual adaptability, knowledge level for smartwork, IT infrastructure level, smartwork organizational culture, and investment level in IT were selected. As a result, first, it was found that individual adaptability did not affect smartwork satisfaction and corporate performance, unlike previous studies. Second, it was found that the knowledge level for smartwork affects individual performance and organizational performance mediating smartwork satisfaction. Third, the main path of 'investment level in IT → IT infrastructure level → smartwork organizational culture → organizational performance' was found. Therefore, companies need to raise the level of knowledge for smartwork among members of the organization and educate that smartwork contributes to improving the quality of life of members. In addition, efforts should be made to build an organizational culture suitable for smartwork through IT investment and establishment of IT infrastructure.

• Journal of Korean Society of Rural Planning
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• v.14 no.3
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• pp.63-73
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• 2008

The purpose of this study is to analyze the determinants of the digital divide at individual level and regional level in Korea, considering interaction between individual and the regional variables. Following results are obtained. First, individual level digital devide in the 16 different regions has been found in terms of Internet use, implying the needs for further analysis on impact of the regional factor in individual Internet use. Second, the result finds the impact of level-l individual variables, "gender, age, education, income and jobs" on digital divide, significantly at level 10% level. Third, the regional variables influencing the individual digital divide were not found at state level. However, regional factors might affect digital devide at county level. Study suggest some plans to reduce digital divide. First, the digital devide at individual level should be remedied by focusing on neglected class of people. Second, we need to approach the digital divide by analyzing in more detail, reflecting interactions of the regional variables and individual variables. Third, we should come up with a policy for mending the digital divide at regional level.

• Health Policy and Management
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• v.30 no.3
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• pp.355-365
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• 2020

Background: This study is aimed to verify individual and regional-level factors affecting the depression of Koreans and to develop social programs for improving the depressive status. Methods: This study used individual-level variables from the Korean Community Health Survey (2018) and used the e-regional index of the Korean Statistical Information Service as the regional-level variable. A multi-level logistic regression was executed to identify individual and regional-level variables that were expected to affect the extent of depressive symptoms and to draw the receiver operating characteristic curve to compare the volume of impact between variables from both levels. Results: The results of the multi-level logistic regression analysis in regards to individual-level factors showed that older age, female gender, a lower income level, a lower education level, not having a spouse, the practice of walking, the consumption of breakfast higher levels of stress, and having high blood pressure or diabetes were associated with a greater increase in depressive symptoms. In terms of regional factors, areas with fewer cultural facilities and fewer car registration had higher levels of depressive symptoms. The comparison of area under the curve showed that individual factors had a greater influence than regional factors. Conclusion: This study showed that while both, individual and regional-level factors affect depression, the influence of the latter was relatively weaker as compared to the first. In this sense, it is necessary to develop programs focused on the individual, such as social prescribing at the local or community-level, rather than the city and nation-level approach that are currently prevalent.

• Journal of Preventive Medicine and Public Health
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• v.53 no.3
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• pp.189-197
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• 2020

Objectives: Our aim was to answer the following questions: (1) Can mental health variance be partitioned to individual and higher levels (e.g., neighborhood and district); (2) How much (as a percentage) do individual-level determinants explain the variability of mental health at the individual-level; and (3) How much do determinants at the neighborhood- or district-level explain the variability of mental health at the neighborhood- or district-level? Methods: We used raw data from the second round of the Urban Health Equity Assessment and Response Tool in Tehran (in 2012-2013, n=34 700 samples nested in 368 neighborhoods nested in 22 districts) and the results of the official report of Tehran's Center of Studies and Planning (in 2012-2013, n=22 districts). Multilevel linear regression models were used to answer the study questions. Results: Approximately 40% of Tehran residents provided responses suggestive of having mental health disorders (30-52%). According to estimates of residual variance, 7% of mental health variance was determined to be at the neighborhood-level and 93% at the individual-level. Approximately 21% of mental health variance at the individual-level and 49% of the remaining mental health variance at the neighborhood-level were determined by determinants at the individual-level and neighborhood-level, respectively. Conclusions: If we want to make the most effective decisions about the determinants of mental health, in addition to considering the therapeutic perspective, we should have a systemic or contextual view of the determinants of mental health.

• Journal of Information Technology Applications and Management
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• v.24 no.2
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• pp.39-54
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• 2017

At present, various technologies are rapidly advancing, centering on the concept of virtuality. From the technology of virtual reality, which allows us to experience the senses as if they existed, to the technology of augmented reality, which provides new information or services based on reality, they are no longer strange things for ourselves because we experience them every day and night. Even though the concept of virtual is very familiar in terms of technology, it is not known how individuals accept the concept of virtuality, how they change our way of thinking, and how their behavior changes. This study aims to approach virtuality perceived by the individual from the viewpoint of individual's information processing. Virtuality is defined as the degree to which the situation facing an individual is far from actual reality. An individual can judge the degree of virtuality easily, which is considered to be a psychological distance which is an important factor in personal information processing. In this study, we have confirmed whether the argument is applied to the real world in the context of advertisement. According to the construal level theory, when an individual feels virtuality at a high level, the individual thinks that the situation they are facing is psychologically distant and accordingly has a high level construal. Therefore, it is more influenced by 'advertisement emphasizing symbolic appeal' which is matching with higher level. On the other hand, when an individual feels a low level of virtuality, the individual thinks that the situation they are facing is psychologically near and thus has a low level construal. Therefore, respondents are more sensitive to functional appeal, which is related to lower level. This study has the theoretical contribution in terms that the degree of virtuality affects the psychological distance of the individual. In addition, the results of this study have practical contribution in terms of being able to be actively used in the information delivery strategy centered on the advertisement.

• Journal of Korean Academy of Nursing
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• v.38 no.2
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• pp.287-297
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• 2008

Purpose: The purpose of this study was to identify factors related to nurses' organizational citizenship behavior using multilevel analysis which included both nurse characteristics at individual levels and nursing unit characteristics at group levels. Methods: The sample was composed of 1,996 nurses who were selected from 182 nursing units in 28 hospitals in six metropolitan cities and seven provinces using cluster sampling. Data were collected using self-reported questionnaires from February to March 2006. Results: The results of the study indicated that individual level variables related to organizational citizenship behavior were religion, job position, clinical career, self efficacy, positive affectivity, and supervisor support. The group level variables related to organizational citizenship behavior were collective efficacy, number of nurses in a nursing unit, and the average salary level of a nursing unit. 30.9% of individual level variances of organizational citizenship behavior were explained by the nurses' individual level variables. The explanatory power of group level variables, which is related to group level variances of organizational citizenship behavior, was 75.5%. Conclusion: This research showed that it was necessary to develop appropriate strategies related to not only individual factors, but also higher-level organizational factors such as collective efficacy, to improve individual performances in the hospital.

• Journal of Industrial Convergence
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• v.14 no.1
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• pp.1-13
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• 2016

I have done a case study on individual level based-organizational behavior textbooks published in Korea and USA. The objects are 'organizational behavior' by Su Yong Jung and 'organizational behavior' by Im Chang Hee in Korea, and 'organizational behavior' by Schermerhorn, Osborn, Uhl-Bien, & Hunt and 'organizational behavior' by Robbins, & Judge. The goal of this study is to identify the differences of the perspectives on the individual level based-organizational behavior between Korean and American textbooks. This research finding shows that it is valid to classify organizational behavior into such categories as individual differences, attitude, emotion & stress, perception & learning, and motivation in the Korean textbooks for the better future study.

• Research in Community and Public Health Nursing
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• v.29 no.4
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• pp.414-428
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• 2018

Purpose: The purpose of this study is to identify the spatial distribution of hypertension prevalence and to investigate individual and regional-level factors contributing to the prevalence of hypertension in the region. Methods: This study is a cross-sectional research using the 2015 Community Health Survey. Total 64,473 people from 7 metropolitan cities were used for the final analysis. Geoda program was adopted to identify the regional distribution of hypertension prevalence and analyzed by descriptive statistics, one-way ANOVA and correlation analysis using SPSS statistics 23.0 program. Multi-level analysis was performed using SPSS (GLMM). Results: The prevalence of hypertension was related to individual level factors such as age, monthly household income, normal salt intake, walking practice days, and regional level factors including number of doctors per 10,000 population, number of parks, and fast food score. Besides, regional level factors were associated with hypertension prevalencies independently without the effects of individual level factors even though the influences of individual level factors ware larger than those of regional factors. Conclusion: Respectively, both individual and regional level factors should be considered in hypertension intervention programs. Also, a national level research is further required by exploring various environmental factors and those influences relating to the hypertension prevalence.

• Health Policy and Management
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• v.32 no.1
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• pp.63-72
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• 2022

Background: Depression is a common disease around the world. Many studies are showing that mental health can be improved through physical activity, and daily regular exercise can reduce the negative effects of depression or depressive symptoms. In order to promote individual physical activity, a physical activity-friendly environment must precede. Therefore, this study attempted to confirm whether the number of sports facilities for all affects individual depression. Methods: Among the respondents to the 2018 Community Health Survey, data from 181,086 people excluding missing value were used. Descriptive and chi-square tests were performed to understanding the general characteristics of individual level variables. A multilevel logistic regression was conducted to confirm the effect of individual and regional level variables on depressive symptoms. Results: As a result of confirming the effect of individual characteristics on depressive symptoms, it was confirmed that both socioeconomic and health behavior factors had an effect. Similar results were shown in a model that considered regional level variables, and in the case of the number of sports facilities per population, people who belongs to smaller areas were more likely to have depressive symptoms (odds ratio, 0.98; 95% confidence interval, 0.97-0.99). Conclusion: As a result of the analysis, it was confirmed that both individual level and regional level variables had a significant effect on depressive symptoms. This suggests that not only individual level approaches but also regional level approaches are needed to improve individual depressive symptoms In particular, it may be possible to consider to increase the number of sports facilities in areas where the prevalence of depressive symptoms is high and the number of sports facilities is insufficient.

• The Journal of Asian Finance, Economics and Business
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• v.7 no.11
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• pp.541-548
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• 2020

This study aimed to explain the factors that influenced an individual's decision to migrate. The method of analysis in this study was the estimation of the probit regression model with data from the Indonesian Family Life Survey (IFLS-5), which covered 30,000 individuals from 13 provinces in Indonesia. Data from IFLS-5 were longitudinal data, meaning that the study was looking for data consistently to get reliable data from respondents. The research variables to determine the individual's decision to migrate were education level, income level, employment status, marital status, land ownership status, health quality, gender, residence status, and poverty status. Individual decision to migrate as a dependent variable was placed as a dummy variable. The results showed that the level of education, income level, employment status, marital status, land ownership status, health quality, and poverty status significantly influenced an individual's decision to migrate. Meanwhile, gender and residence status did not significantly affect an individual's decision to migrate. This research recommends that it is necessary to pursue a policy of economic equality between regions because economic factors are the main trigger for an individual's decision to migrate. Policies to overcome economic disparities among regions will reduce the individual's decision to migrate.