• Journal of The Korea Institute of Healthcare Architecture
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• v.24 no.4
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• pp.17-25
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• 2018

Purpose: Korean society is undergoing the rapid increase and poverty of elderly population. Therefore, the appropriate supply and planning of public rental housing for the low-income elderly is more important. The purpose of this study is to present the basic data for the study and planning of the elderly housing complex by analyzing the cognitive characteristics of the elderly residing in the rental housing. Methods: A questionnaire survey was conducted to identify health characteristics of the elderly living in the 'Gongreung SH Apartment'. 100 random samples were collected and 82 valid samples were analysed. Statistical analysis was performed using Excel and R for the age, sex, health, outdoor walking frequency and characteristics of Cognitive map of the elderly. Results: The characteristics of cognitive map were classified into point shapes and linear shapes. The linear group was lower in average age than the point group and tended to draw the map wider. The wider the map was, the more the number of elements in cognitive map was. The number of elements on the cognitive map decreased as respondents' age increased. On the other hand it was not related to residence period and gender of the elderly. Implication: The cognitive extent of the residential environment tends to decrease with age. Men's cognitive range is wider than women's. There is no corelation between the number of cognitive elements and cognitive map type. Men tend to have a systematic image of city, whereas women focus on relational and social urban factors. For sustainable apartment complex design, various characteristics of the group including men and women, different age and different health status should be considered.

• Journal of the Korean Society for Library and Information Science
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• v.55 no.3
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• pp.239-258
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• 2021

The study examined citizens' information needs, perception and expectations of their public library services in Daejeon. The study analyzed citizens' demands and satisfaction(or dissatisfaction) of library services and facilities to develop comprehensive library plans and detailed strategies to satisfy the diverse users' needs (including non-users' needs) in the middle of rapidly changing socio-technological environments. To achieve the goal, the study collected the data by using both quota sampling and online and offline survey methods, and analyzed the 1,383 data through the statistical processes. The study found out the significant results and features, and suggested the implication and main points to apply the results to developing comprehensive library plans and strategies.

• The Korean Journal of Franchise Management
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• v.11 no.2
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• pp.7-15
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• 2020

Purpose - The purpose of this study was to structurally verify how the competency of consulting company affects the business performance of consulting client firms through consulting achievement and consulting utilization. It aims to provide information for successful consulting and suggest strategic measures to improve consulting performance. Research design, data, and methodology - This study examines the structural relationship between competency of consulting company, consulting performance, and performance of consulting client firms. In this model, competency of consulting company consists of three sub-dimensions such as reputation, ability to perform business, and expertise. For these purposes, research model and hypotheses were developed. This survey was conduct ed for employees of companies that have experienced consulting in the past year. A total of 195 were used for this study. The data were analyzed using frequency analysis, confirmatory factor analysis, correlation analysis, and SEM with SPSS 18.0 and Amos 18.0 statistical program. Result - The results of this study are as follows. First, reputation, ability to perform business and expertise, which are sub-dimensions of consulting competence, was found to have positive effect on consulting achievements and also found to have a positive effect on utilization. Second, consulting performance was found to have positive effects on business performance of consulting client firms. It means that the management's willingness to utilize consulting results and the achievements of consulting performance have a positive effect on the company's management performance. Conclusions - Consulting firms need to perform customer-oriented consulting by accurately recognizing what management consulting is required by the client firms. The academic significance of this study was that the research was conducted through structural empirical analysis, not only from the relationship of competency of consulting company to consulting performance, but also to the relationship of business performance of client firms. In addition, the practical implication of this study is that clients can actively utilize the results of consulting to lead business performance.

• The Journal of the Korea Contents Association
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• v.22 no.3
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• pp.250-260
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• 2022

This study aims to verify the dual mediating effect of work meaningfulness and anxiety in the process of person-job fit influencing flourishing. For this purpose, an online survey was conducted with 320 employees working in various companies, and statistical analysis was conducted using AMOS 21, SPSS 21, and SPSS Process Macro v. 3.3. The results of this study are as follows: First, person-job fit had positive correlations with work meaningfulness and flourishing and a negative correlation with anxiety. Second, work meaningfulness and anxiety were both found to have mediating effects on the relationship between person-job fit and flourishing. Third, the dual-mediating effect of work meaningfulness and anxiety was confirmed. The practical implication of this study is that it is important to manage effectively person-job fit and work meaningfulness at workplace as the individuals' perspective toward work changes and the emotional/psychological well-being becomes even more essential. The implications and limitations of this study were discussed in the conclusion.

• Journal of the Korea institute for structural maintenance and inspection
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• v.11 no.4
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• pp.138-146
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• 2007

Geotechnical performance at the soft ground is strongly dependent on the properties of the soil beneath and adjacent to the structure of interest. These soil properties can be described using deterministic and/or probabilistic models. Deterministic models typically use a single discrete descriptor for the parameter of interest. Probabilistic models describe parameters by using discrete statistical descriptors or probability distribution density functions. The consolidation process depends on several uncertain parameters including the coefficients of consolidation and coefficients of permeability in vertical and horizontal directions. The implication of this uncertain parameter in the design of prefabricated vertical drains for soil improvement is discussed. A sensitivity analysis of the degree of consolidation and calculation of settlements to these uncertain parameters is presented for clayey deposits.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.11 no.5
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• pp.57-66
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• 2016

The study aims to examine the impact of Start-Up Business Incubator System on Performance of the Start-up Graduated from the Business Incubator. This has analyzed 813 startups which had supported by Seoul Metropolitan City in particular from 2009 to 2010. Empirical analysis has choosed business room for free, startup grant for operation, education & coaching support, consulting support by practitioner, promotion & new market opening support and collaboration support among startups in the business incubator as independent variables and also implemented startup success satisfaction degree as a depentent variable. The results shows that the degree of satisfaction on start-up activity support fund for entrepreneur and the degree of satisfaction on collaboration support among firms in the business incubator have statistical significant impact on start-up success satisfaction degree. The study has an implication that it provides a basic data on policy support strategies by central and local autonomous governments that facilitate entrepreneurs to achieve start-up business goals by understanding the factors that affect the business performance of entrepreneurs. In addition, the study offers new directions for entrepreneurs in a way that promotes the start-up performance by business room for free, education & coaching support, consulting support by practitioner, promotion & new market opening support which were investigated as statistical insignificant constructs, so that the author expects new studies about more effective business incubator system to enhance the performanc of start-up in business incubator.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.40 no.2
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• pp.78-91
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• 2017

In this study, we conducted a comparative study on user's perception and behavior on public system service (PSS) using institutionalism theory and MGA (multi-group analysis) methodology. In particular, this study focuses on how institutional isomorphism is applied to public system services and how MGA can be implemented correctly in a variance based SEM (structural equation model) such as PLS (partial least square). A data set of 496 effective responses was collected from pubic system users and an empirical research was conducted using three segmented models categorized by public proximity theory (public firms = 113, government contractors = 210, private contractors = 173). For rigorous group comparisons, each model was estimated by the same indicators and approaches. PLS-SEM was used in testing research hypotheses, followed by parametric and non-parametric PLS-MGA procedures in testing categorical moderation effects. This study applied novel procedures for testing composite measurement invariance prior to multi-group comparisons. The following main results and implications are drawn : 1) Partial measurement invariance was established. Multi-group analysis can be done by decomposed models although data can not be pooled for one integrated model. 2) Multi-group analysis using various approaches showed that proximity to public sphere moderated some hypothesized paths from quality dimensions to user satisfaction, which means that categorical moderating effects were partially supported. 3) Careful attention should be given to the selection of statistical test methods and the interpretation of the results of multi-group analysis, taking into account the different outcomes of the PLS-MGA test methods and the low statistical power of the moderating effect. It is necessary to use various methods such as comparing the difference in the path coefficient significance and the significance of the path coefficient difference between the groups. 4) Substantial differences in the perceptions and behaviors of PSS users existed according to proximity to public sphere, including the significance of path coefficients, mediation and categorical moderation effects. 5) The paper also provides detailed analysis and implication from a new institutional perspective. This study using a novel and appropriate methodology for performing group comparisons would be useful for researchers interested in comparative studies employing institutionalism theory and PLS-SEM multi-group analysis technique.

• Journal of Digital Convergence
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• v.14 no.6
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• pp.237-244
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• 2016

The purpose of this study examines the influence of anchoring and adjustment according to regularity of snack's shape. Especially this study choose 'choco chip' as a snack with regularity to compare with 2012's study. The results of this study are as follows. 1) The anchoring and adjustment also appears in 'choco chip' with regularity. But statistical meaning is different from the result of prior study. 2) The difference of anchoring effect reduced according to additional verbal information in 'choco chip' with regularity. but has no statistical meaning of interaction effect. However the causes of two results are different. 3) The interaction effect of cognitive load(without vs. moderate vs. high) is meaningful statistically. difference of anchoring effect reduced according to additional verbal information in 'choco chip' with regularity in 'choco chip' with regularity. This study provides strategic implication that it overcomes the limitation of the prior resuarch and may reinforce the biased judgement by cognitive overload.

• Korean Journal of Social Welfare
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• v.61 no.2
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• pp.277-301
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• 2009

The purpose of this study is to examine those factors affecting Male Abusive Behavior on Intimate Female Partner Violence. The primary aim of this study is to determine the association between Intimate Partner Violence and coping strategies of male abusive behavior. The sample included 121 male abusive behavior who are referred by Counsel for Family Violence. For statistical analysis, descriptive statistical methods and hierarchical multiple regression were employed. Results indicated that male abusive behavior expressed more aggressive cognitive biases and irrational beliefs than nonviolent men. Both of problem-solving and avoidance coping to deal with relationship conflicts were related to abusive behavior of male. Specially, men who used higher levels of avoidance coping strategies was more likely related to physical abuse, less use of problem-solving coping was related to psychological abuse. Hostility and low marital satisfaction have also been associated with Intimate Partner Violence. Drinking is a risk factor for psychological abuse. Results are discussed implication for developing theoretical and interventional meanings of social welfare practice.

• Journal of Intelligence and Information Systems
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• v.25 no.2
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• pp.99-122
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• 2019

According to the recent IDC (International Data Corporation) report, as from 2025, the total volume of data is estimated to reach ten times higher than that of 2016, corresponding to 163 zettabytes. then the main body of generating information is moving more toward corporations than consumers. So-called "the wave of Big-data" is arriving, and the following aftermath affects entire industries and firms, respectively and collectively. Therefore, effective management of vast amounts of data is more important than ever in terms of the firm. However, there have been no previous studies that measure the effects of big data investment, even though there are number of previous studies that quantitatively the effects of IT investment. Therefore, we quantitatively analyze the Big-data investment effects, which assists firm's investment decision making. This study applied the Event Study Methodology, which is based on the efficient market hypothesis as the theoretical basis, to measure the effect of the big data investment of firms on the response of market investors. In addition, five sub-variables were set to analyze this effect in more depth: the contents are firm size classification, industry classification (finance and ICT), investment completion classification, and vendor existence classification. To measure the impact of Big data investment announcements, Data from 91 announcements from 2010 to 2017 were used as data, and the effect of investment was more empirically observed by observing changes in corporate value immediately after the disclosure. This study collected data on Big Data Investment related to Naver 's' News' category, the largest portal site in Korea. In addition, when selecting the target companies, we extracted the disclosures of listed companies in the KOSPI and KOSDAQ market. During the collection process, the search keywords were searched through the keywords 'Big data construction', 'Big data introduction', 'Big data investment', 'Big data order', and 'Big data development'. The results of the empirically proved analysis are as follows. First, we found that the market value of 91 publicly listed firms, who announced Big-data investment, increased by 0.92%. In particular, we can see that the market value of finance firms, non-ICT firms, small-cap firms are significantly increased. This result can be interpreted as the market investors perceive positively the big data investment of the enterprise, allowing market investors to better understand the company's big data investment. Second, statistical demonstration that the market value of financial firms and non - ICT firms increases after Big data investment announcement is proved statistically. Third, this study measured the effect of big data investment by dividing by company size and classified it into the top 30% and the bottom 30% of company size standard (market capitalization) without measuring the median value. To maximize the difference. The analysis showed that the investment effect of small sample companies was greater, and the difference between the two groups was also clear. Fourth, one of the most significant features of this study is that the Big Data Investment announcements are classified and structured according to vendor status. We have shown that the investment effect of a group with vendor involvement (with or without a vendor) is very large, indicating that market investors are very positive about the involvement of big data specialist vendors. Lastly but not least, it is also interesting that market investors are evaluating investment more positively at the time of the Big data Investment announcement, which is scheduled to be built rather than completed. Applying this to the industry, it would be effective for a company to make a disclosure when it decided to invest in big data in terms of increasing the market value. Our study has an academic implication, as prior research looked for the impact of Big-data investment has been nonexistent. This study also has a practical implication in that it can be a practical reference material for business decision makers considering big data investment.