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The Effect of Empowering Leadership on Leader-Member Exchange, Leader Trust and In-role Behavior (임파워링 리더십이 리더-구성원 교환관계, 리더신뢰 및 역할 내 행동에 미치는 영향)

  • Lee, Kyu-Yong;Song, Jung-Su
    • The Journal of the Korea Contents Association
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    • v.18 no.11
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    • pp.594-610
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    • 2018
  • In this study, we examined the impact of empowering leadership on leader-member exchange(LMX), leader trust, and in-role behavior. The role of LMX and leader trust in the relationship between empowering leadership and in-role behavior was verified. We surveyed 289 small and medium enterprises in Yangsan, Ulsan and Gyeongju city. SPSS 18.0 was used for overall descriptive statistics and exploratory factor analysis. AMOS 18.0 was used to conduct confirmatory factor analysis to confirm the validity of the research variables and to conduct a covariance structure analysis to verify the research hypothesis. The result of this study were as follows. First, empowering leadership has a significant effect on LMX, leader trust. Second, empowering leadership did not have a significant effect on in-role behavior. Third, LMX has a significant effect on leader trust and in-role behavior. Fourth, leader trust has a significant influence onin-role behavior. Finally, LMX and leader trust play a mediating role in the relationship between empowering leadership and in-role behavior. Based on the results of this study, it is suggested that the LMX and leader trust should be strengthened through the leader's empowering leadership in order to enhance the employee's in-role behavior.

Development of Ingrowth Estimation Equations for Pinus densiflora in Korea Derived from National Forest Inventory Data (국가산림자원조사 자료를 이용한 소나무의 진계생장 추정식 개발)

  • Moon, Ga Hyun;Yim, Jong Su;Shin, Man Yong
    • Journal of Korean Society of Forest Science
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    • v.107 no.4
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    • pp.402-411
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    • 2018
  • This study was conducted to develop ingrowth estimation equations on Pinus densiflora found in Gangwon Province and in the center of Korean Peninsula, based on the National Forest Inventory (NFI)'s permanent sampling plot data. For this study, identical sampling plots in $5^{th}$ and $6^{th}$ NFI data were collected in order to identify ingrowth amounts for the last 5 years. Following two-stage approaches in developing the ingrowth estimation equations, the logistic regression model was used in the first stage to estimate the ingrowth probability. In the second stage, regression analysis on sampling plots with ingrowth occurrence was used to estimate the ingrowth amount. A candidate model was finally selected as an optimal model after a verification based on three evaluation statistics which include mean difference (MD), standard deviation of difference (SDD) and standard error of difference (SED). In results, a logistic regression model based on the number of sampling plot which did not result in ingrowth (model VI), was selected for an ingrowth probability estimation equation and exponential function including the species composition (SC) variable was optimal for an ingrowth estimation equation (model VII). The ingrowth estimation equations developed in this study also evaluated the estimation ability in various forest stand conditions, and no particular issue in fitness or applicability was observed.

Caregiving Rewards and Costs of Grandmothers Raising Grandchildren (조손가족 조모가 경험하는 손자녀 양육의 보상과 비용)

  • Han, Gyoung-hae;Joo, Ji-hyun;Lee, Jeong-hwa
    • 한국노년학
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    • v.28 no.4
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    • pp.1147-1164
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    • 2008
  • There has been a sharp increase in the number of grandmothers raising grandchildren in contemporary Korean society. However, little is known about the complexity of the experiences of the custodial grandparenting. Most of the studies mainly examined burden/cost and have paid little attention to the positive aspects of custodial grandparenting. In order to overcome this limitation of previous research, this study aims 1) to examine not only the costs but also the rewards of custodial grandparenting and to explore related factors, 2) to develop the typology based on relative rewards-burden perception of grandmothers about custodial grandparenting and explore the group differences. The data were gathered from 449 grandmothers raising their grandchildren as a primary caregiver, using a structured questionnaire. The data were analyzed using descriptive statistics, correlation, hierarchical multiple regression and ANOVA, with SPSS WIN 12.0 program. Main findings are as follows: First, custodial grandmothers report not only care-giving burden such as physical burnout and economic burden but also various rewards such as joy of watching their grandchildren grow and feeling good about themselves to be a help with their adult children, i.e. grandchildren's father or mother. Second, factors related to the level of perceived cost of grandparenting are different from the factors affecting the positive aspects of grandparenting. Third, results of the two by two cross-tab analysis based on the level of rewards and burden show that about 32 percent of the grandparents belong to Type II group(high rewards-low cost). This result is quite contrary to the assumption of previous research focusing mostly on cost and burden of custodial grandparenting. Fourth, four groups were different in terms of grandmother & grandchildren's characteristics. Implications of these results are discussed.

Artificial Intelligence Techniques for Predicting Online Peer-to-Peer(P2P) Loan Default (인공지능기법을 이용한 온라인 P2P 대출거래의 채무불이행 예측에 관한 실증연구)

  • Bae, Jae Kwon;Lee, Seung Yeon;Seo, Hee Jin
    • The Journal of Society for e-Business Studies
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    • v.23 no.3
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    • pp.207-224
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    • 2018
  • In this article, an empirical study was conducted by using public dataset from Lending Club Corporation, the largest online peer-to-peer (P2P) lending in the world. We explore significant predictor variables related to P2P lending default that housing situation, length of employment, average current balance, debt-to-income ratio, loan amount, loan purpose, interest rate, public records, number of finance trades, total credit/credit limit, number of delinquent accounts, number of mortgage accounts, and number of bank card accounts are significant factors to loan funded successful on Lending Club platform. We developed online P2P lending default prediction models using discriminant analysis, logistic regression, neural networks, and decision trees (i.e., CART and C5.0) in order to predict P2P loan default. To verify the feasibility and effectiveness of P2P lending default prediction models, borrower loan data and credit data used in this study. Empirical results indicated that neural networks outperforms other classifiers such as discriminant analysis, logistic regression, CART, and C5.0. Neural networks always outperforms other classifiers in P2P loan default prediction.

Development of Stakeholder-based Evaluation Scales for the Lifelong Education Field Training Program (이해당사자 기반 평생교육실습 프로그램 평가척도 개발)

  • Ku, Kyung-Hee;Yun, Myung-Hee
    • Journal of vocational education research
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    • v.37 no.1
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    • pp.55-75
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    • 2018
  • The purpose of this study was to develop the evaluation scales that can access hierarchically the lifelong education field training program based on relevant stakeholders. To fulfill this purpose, both qualitative and quantitative research methods were applied. First of all, four groups of stakeholders were selected such as trainees, professors, field instructors, and program inspectors. The in-depth interviews with 13 experts in the field were conducted, and as a result, the scale with hierarchy of evaluation area, evaluation section, and evaluation item for each stakeholder was developed. In order to verify the content validity of the evaluation scales, delphi surveys for each stakeholder were conducted, using 35 expert panels. After delphi survey, the scale was applied to 90 trainees, 22 professors, and 31 field instructors. SPSS program was used to analyze the descriptive statistics, validity, and reliability. Finally, the evaluation scale of the trainer was identified as 8 evaluation areas, 14 evaluation sections and 51 evaluation items. And the professor's scale consisted of 6 areas, 10 sections and 40 items. The field instructor's scale was determined as 3 areas, 7 sections and 31 items, and the program inspector's evaluation scale was confirmed as 7 areas, 15 sections, and 32 items.

Guidelines and Status of Hospital Library in Korea: for Patients and Carers (국내 병원도서관 관련 기준 및 현황)

  • Rhee, Hey Young
    • Journal of the Korean BIBLIA Society for library and Information Science
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    • v.29 no.4
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    • pp.179-202
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    • 2018
  • This study examined and analyzed the related study, Library Law, comparison of Korean Library Standards and IFLA guidelines and the status of domestic hospital library provision in order to grasp the regulations and status of domestic hospital library. As a result, the related study is very insufficient compared to overseas, and the Law and Standards for hospital libraries are not clearly and in detail in the Library Law. It is impossible to grasp the statistics and actual condition of the hospital library through the Yearbook of the Korean Library. The Korean Library Standards and IFLA guidelines also show differences in composition and key elements. According to the survey, 49 hospitals (1.3%), 8 hospitals (0.2%), 5 nursing hospitals (0.1%), 4 children's hospitals (0.1%), and 1 military hospital (0.0%) were among the 67 hospitals surveyed. Of the 49 general hospitals, 42 were advanced general hospitals, of which 17 were providing hospital libraries. The most urgent issue for providing hospital libraries is the revision of the Library Law and the Korean Library Standards, and the mandatory provision of hospital libraries, publicity through library magazines, and related research should be carried out.

Strategies for Improving Patent Activity by Analyzing Patent Activity of Industry : Small and Medium Sized Enterprises by Korea Industry (특허 활동성 분석을 통한 산업별 특허 활동성 제고 전략 : 국내 중소중견기업을 대상으로)

  • Kim, Dooho;Kim, Wanki
    • Journal of Technology Innovation
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    • v.27 no.2
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    • pp.73-98
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    • 2019
  • This study aims to contribute to the improvement of the patent activity of small and medium-sized enterprises in the future by proposing five strategies for enhancing customized patent activity for small and medium-sized enterprises under the assumption that patent application affects firm performance. The subjects of this study were 25 years of active patent activity, using patent activity statistics for 5 years from 2010 and statistical data of business performance based on 2014. The research procedure was conducted in the order of DEA-BCC efficiency analysis, patent activity analysis, and patent portfolio analysis, and then propose a strategy to improve patent activity. As a result of the research, it was confirmed that 5 industries with high patent activity and IRS type have a substantial effect on improving corporate performance as an industry with high patent efficiency. On the other hand, there are 12 industries in the form of IRS/DRS, and 8 industries with low patent activity, DRS, CRS/IRS mixed type and IRS, and that the efficiency of the patent may vary depending on the characteristics of each industry.

Estimating Stem Volume Table of Quercus Acutissima in South Korea using Variable Exponent Equation (변량지수식을 이용한 전국 상수리나무의 입목수간재적표 추정)

  • Ko, Chi-Ung;Kim, Dong-Geun;Kang, Jin-Taek
    • Journal of Korean Society of Forest Science
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    • v.108 no.3
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    • pp.357-363
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    • 2019
  • This study was conducted to develop a stem volume table for Quercus acutissima in Korea by using Kozak's stem taper equation. In total, 2700 tree samples were collected around the country, and growth performance was investigated through compiling data on diameters by stem height and stem analysis. In order to test the stem taper equation's fitness, the fitness index (FI), bias, and mean absolute deviation (MAD) were analyzed. The fitness of the equation was estimated at 97%, bias as 0.017, and MAD turned out to be 1.118, respectively. Furthermore, there was a statistically significant volume difference between the current volume table and the new volume table (p = 0.0008, <0.005). The result indicates that using the new volume table that reflects the actual forest will reduce the loss when assessing wood resources and will improve the accuracy of forest statistics for national and local governments. A stem volume table, the main result of this research, which is utilized in the estimated stem taper equation, will provide growth information for Quercus acutissima, one of the main broadleaf species in Korea, and will function as a management indicator for rational forest management.

The Statistics Study on Patients visiting a Korean Medicine Hospital according to the Application of Chuna Therapy Health Insurance and Medical benefits (추나요법의 건강보험 및 의료급여 적용에 따른 한방병원에 내원하는 환자군에 대한 통계적 고찰)

  • Kim, Hyo-jun;Byun, Da-Young;Kim, Gook-Beom;Park, Joon;Kwon, Yong-Su;Yu, Jae-Eun;Lee, Hee-Won;Oh, Min-Seok
    • The Journal of Korean Medicine
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    • v.40 no.3
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    • pp.188-197
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    • 2019
  • Objectives: The objective of this study is to analyze and observe what kinds of changes in Patients who visited a Korean Medicine Hospital according to the Application of Chuna Therapy Health Insurance and Medical benefits. Methods: In this study we collected data of Patients who first visited the ${\bigcirc}{\bigcirc}{\bigcirc}{\bigcirc}$ Korean Medicine Hospital from March 8 to May 8. we collected data of 1074 Patients who first visited the Daejeon Jaseng Korean Medicine Hospital from March 8 to May 8. Based on the medical charts, Computer order, we analyze and observe statistical data of 1074 patients putting them into six groups. Outcuomes: 1.The increase in the rate of receiving chuna therapy was significant in Group A and Group B(${\rho}<0.05$). 2.The increase in the onset of the disease for more than one year was significant in Group C and Group D(${\rho}<0.05$). 3.The increase in the proportion with disease Corporal was significant in Group E and Group F(${\rho}<0.05$). Conclusions: According to according to the Application of Chuna Therapy Health Insurance and Medical benefits, the number of patients receiving Chuna Therapy increased, and people with old illnesses were more likely to receive Chuna Therapy.

Development of Risk Assesment Index for Construction Safety Using Statistical Data (통계자료를 활용한 건설안전 위험도 평가지수 개발)

  • Park, Hwan-Pyo;Han, Jae-Goo
    • Journal of the Korea Institute of Building Construction
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    • v.19 no.4
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    • pp.361-371
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    • 2019
  • In 2017, the ratio of the number of victims and deaths in the construction industry was the highest with 25.2% and 29.6%, respectively. Especially, as safety accidents at construction sites continue to increase, the economic loss is greatly increased too. Therefore, in order to prevent safety accidents in the construction work, the safety risk assessment index by type of construction was developed, and the main results of this study are as follows. First, 17 factors related to safety accidents at construction sites were derived through survey and interview survey, and this study suggested 9 items(process, type of construction, progress rate, contract amount, number of floors, safety education, working days and weather) throughout the expert advisory meeting. Second, the risk assessment index for safety accidents was developed based on the ratio and intensity of safety accidents. Third, to verify the risk assessment model, the construction safety risk assessment index by type of construction was derived by surveying and analyzing the statistics of the construction accident. In addition, the risk strength was calculated by dividing human damage caused by construction safety accidents into those killed and injured. The risk assessment index based on the frequency and intensity of safety accidents by type of construction is expected to be utilized as basic data when assessing the risk of similar projects in the future.