• 제목/요약/키워드: Statistical Consulting

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The Effect of Emotional Intelligence on Job Satisfaction: A Case Study of SME Management Consultants in Korea

  • KIM, Dae Kyoo;KIM, Bo Young
    • The Journal of Asian Finance, Economics and Business
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    • 제8권5호
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    • pp.1129-1138
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    • 2021
  • SMEs are constantly demanded of changes in the rapidly-evolving business environment, which involves the fourth industrial revolution and the COVID-19 pandemic. In this period, management consulting service becomes more in demand to provide technical and strategic solutions for management problems. This study aimed to empirically analyze the direct effects of emotional intelligence on job satisfaction and the indirect effects of such parameters as learning agility and self-efficacy on job satisfaction in management consultants. On the basis of a literature review, inter-variable association was designed in the research model. Based on an online survey of those in the Korean SME management consultants, this study collected 221 questionnaires then used structural equation modeling for statistical analysis. The results reveal that emotional intelligence significantly affected job satisfaction and, also significantly positively affected learning agility and self-efficacy. In addition, a significant indirect correlation could be found between learning agility and self-efficacy. Meanwhile, if learning agility and self-efficacy mediated job satisfaction, emotional intelligence had no significant effect on job satisfaction and fully mediated learning agility and self-efficacy. It is necessary to develop an emotional intelligence education program that can help management consultants improve their emotional intelligence with the objective of giving successful management consulting services.

Effects of the Characteristics of Founders and Governmental Support on Start-up Performance through Entrepreneurship and Network

  • PARK, Hee-Sang;SEO, Young-Wook;KIM, Gyu-Bae
    • 융합경영연구
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    • 제7권4호
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    • pp.20-32
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    • 2019
  • Purpose - There have been many studies regarding the preceding factors required for success of start-up. The purpose of this study is to verify one of the paths by which the individual characteristics of founders and governmental support lead to enhanced start-up performance, via entrepreneurship and network building. Research design, data, methodology - Data for this study was collected from surveys of 332 founders throughout South Korea, and statistical analyses of this data were performed using SPSS 22.0 and Smart PLS 2.0. To verify our hypothesis, path analysis was performed using a structural equation model. Results -The variables, entrepreneurial self-esteem and experience were found to have positive effects on the entrepreneurship and networks. Secondly, governmental support did not have significant positive effect on entrepreneurship, but it did have positive effect on networking. Thirdly, entrepreneurship and networking were confirmed to have positive effects on both the utilization of opportunities and financial performance, which are variables indicating start-up performance. Conclusion - Although founder's characteristics are important for success of start-up, it is also critically important to actively utilize governmental support. Notably, many founders suffer from inadequate networks. They would be able to enhance their start-up performance by utilizing various governmental support programs to reinforce their network capabilities.

고차자원이 성과 지속성에 미치는 영향: 국내기업을 중심으로 (Performance Persistence in the Presence of Higher-order Resources-Focus on Domestic Companies)

  • 김민조;이윤표;황승준
    • 산업경영시스템학회지
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    • 제47권1호
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    • pp.1-8
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    • 2024
  • This study analyzed the impact of Higher-order resources on profit sustainability for domestic companies using a mathematical statistical model. Higher-order resources refer to resources that do not directly affect profits but influence other resources that directly contribute to profits. As a result of analysis using 30 years of actual data from more than 650 domestic companies, the average duration of competitive advantage including high-order resources was found to be about twice as long as the period suggested by the autoregressive model excluding high-order resources. Through this, if companies want to earn more profits over a long period of time than their competitors, they must not only possess resources that are more valuable, rare, difficult to imitate, and non-substitutable compared to their competitors, but also that higher-order resources can contribute to changes in these resources over time. It was confirmed that it must lead the long-term profit difference. High-level resources include strategic planning, mergers and acquisitions (M&A) capabilities, and good forecasting.

공변량을 고려한 2×2 교차설계법에 평균 생물학적 동등성 평가 (Assessing Average Bioequivalence for 2×2 Crossover Design with Covariates)

  • 정규진;박상규;김관엽
    • 응용통계연구
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    • 제24권1호
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    • pp.161-167
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    • 2011
  • 소수의 피험자로 이루어지는 생물학적 동등성 시험에서 제제의 특성으로 인해 측정된 생체이용률이 크게 영향을 받는 경우 교차설계법을 사용하더라도 적절한 통제가 어려워지는 경우가 많다. 이 때 적절한 공변량을 통해 이러한 영향력을 통제할 수 있다면 공변량을 고려한 교차설계법 모형이 고려될 필요가 있다. 본 연구논문에서는 공변량을 갖는 $2{\times}2$ 교차설계법을 고려하고 제제간의 생물학적 동등성 평가를 위한 통계적 추론을 제안한다. 제안된 방법은 실제 사례를 통해 논의한다.

인공지능 기법을 활용한 한반도 해역의 수질평가지수 예측모델 개발 (Development of a Water Quality Indicator Prediction Model for the Korean Peninsula Seas using Artificial Intelligence)

  • 김성수;손규희;김도연;허장무;김성은
    • 해양환경안전학회지
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    • 제29권1호
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    • pp.24-35
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    • 2023
  • 급격한 산업화와 도시화로 인해 해양 오염이 심각해지고 있으며, 이러한 해양 오염을 실효적으로 관리하기 위해 수질평가지수(Water Quality Index, WQI)를 마련하여 활용하고 있다. 하지만 수질평가지수는 다소 복잡한 계산과정으로 인한 정보의 손실, 기준값 변동, 실무자의 계산오류, 통계적 오류 등의 불확실성(uncertainty)을 내포하고 있다. 이에 따라 국내·외에서 인공지능 기법을 활용하여 수질평가지수를 예측하기 위한 연구가 활발히 이루어지고 있다. 본 연구에서는 해양환경측정망 자료(2000 ~ 2020년)를 활용하여 우리나라 전 해역 즉, 5개의 생태구에 대한 WQI를 추정할 수 있는 가장 적합한 인공지능기법을 도출하기 위해 총 6가지의 기법(RF, XGBoost, KNN, Ext, SVM, LR)을 실험하였다. 그 결과, Random Forest 기법이 다른 기법에 비해 가장 우수한 성능을 보였다. Random Forest 기법의 WQI 점수 예측값과 실제값의 잔차 분석 결과, 모든 생태구에서 시간적 및 공간적 예측 성능이 우수한 것으로 나타났다. 이를 통해 본 연구에서 개발한 Random Forest 기법은 높은 정확도를 바탕으로 우리나라 전해역에 대한 WQI를 예측 가능할 것으로 사료된다.

한의학회지의 뇌졸중 관련논문을 통한 한의학 연구동향과 질적 메타분석 (Research Trends of Oriental Medicine in Korea and Meta-analysis of Articles related to Stroke in the Journal of Korean Oriental Medicine)

  • 고성규
    • 대한한방내과학회지
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    • 제22권2호
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    • pp.223-237
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    • 2001
  • Objective : There have not been studies on the oriental medicine research trends and qualitative analysis of Korean oriental medicine articles in Korea, particularly in the oriental medicine area. This study's purpose is to appreciate Korean oriental medicine's research trends and assess the quality of the Korean oriental medical journals' level. This study will help upgrade Korean oriental medical journals. Method : We found 93 stroke-related articles in the Journal of Korean Oriental Medicine, published between 1980(Volume 1) and 2001(Volume 45). We surveyed the institutes involved in each study, and the number of people in each study. We seperated by epidemiological study design, the studies into categories. Campbell and Stanley's study design into 6 categories, statistical methods into 13 categories. Next, we assessed the 41 articles by a checklist, which had 10 categories. The quality score was analyzed by survey variables over the period, which were divided by the date of publication: the 1980s, the first half of the 1990s, second half of the 1990s and 2000s. Results : 46.3% od the studies didn't use statistical methods. 56.1%, were case series studies by classification of epidemiological study design, and 53.6% were one-shot case studies designed by Campbell and Stanley's study design. The quality score was 58.33 point 60 is average. In quality level by Browman GP etc.'s, 83.0% of the studies were included in V levels. But, the quality scores were significant by presence of reviewer system, statistical method's usage, and over the period. Conclusion : The Journal of Korean Oriental Medicine needs to improve the quality its articles. To improve the quality of oriental medicine related articles, the following are necessary: working together, joint work of inter-educational system, strengthening of reviewer system, use of statistical methods, and consulting to the expert of research at the stage of study design.

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Classification Rule for Optimal Blocking for Nonregular Factorial Designs

  • Park, Dong-Kwon;Kim, Hyoung-Soon;Kang, Hee-Kyoung
    • Communications for Statistical Applications and Methods
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    • 제14권3호
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    • pp.483-495
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    • 2007
  • In a general fractional factorial design, the n-levels of a factor are coded by the $n^{th}$ roots of the unity. Pistone and Rogantin (2007) gave a full generalization to mixed-level designs of the theory of the polynomial indicator function using this device. This article discusses the optimal blocking scheme for nonregular designs. According to hierarchical principle, the minimum aberration (MA) has been used as an important criterion for selecting blocked regular fractional factorial designs. MA criterion is mainly based on the defining contrast groups, which only exist for regular designs but not for nonregular designs. Recently, Cheng et al. (2004) adapted the generalized (G)-MA criterion discussed by Tang and Deng (1999) in studying $2^p$ optimal blocking scheme for nonregular factorial designs. The approach is based on the method of replacement by assigning $2^p$ blocks the distinct level combinations in the column with different blocks. However, when blocking level is not a power of two, we have no clue yet in any sense. As an example, suppose we experiment during 3 days for 12-run Plackett-Burman design. How can we arrange the 12-runs into the three blocks? To solve the problem, we apply G-MA criterion to nonregular mixed-level blocked scheme via the mixed-level indicator function and give an answer for the question.

Estimation of Small Area Proportions Based on Logistic Mixed Model

  • Jeong, Kwang-Mo;Son, Jung-Hyun
    • 응용통계연구
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    • 제22권1호
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    • pp.153-161
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    • 2009
  • We consider a logistic model with random effects as the superpopulation for estimating the small area pro-portions. The best linear unbiased predictor under linear mired model is popular in small area estimation. We use this type of estimator under logistic mixed motel for the small area proportions, on which the estimation of mean squared error is also discussed. Two kinds of estimation methods, the parametric bootstrap and the linear approximation will be compared through a Monte Carlo study in the respects of the normality assumption on the random effects distribution and also the magnitude of sample sizes on the approximation.

Analysis of Break in Presence During Game Play Using a Linear Mixed Model

  • Chung, Jae-Yong;Yoon, Hwan-Jin;Gardne, Henry J.
    • ETRI Journal
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    • 제32권5호
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    • pp.687-694
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    • 2010
  • Breaks in presence (BIP) are those moments during virtual environment (VE) exposure in which participants become aware of their real world setting and their sense of presence in the VE becomes disrupted. In this study, we investigate participants' experience when they encounter technical anomalies during game play. We induced four technical anomalies and compared the BIP responses of a navigation mode game to that of a combat mode game. In our analysis, we applied a linear mixed model (LMM) and compared the results with those of a conventional regression model. Results indicate that participants felt varied levels of impact and recovery when experiencing the various technical anomalies. The impact of BIPs was clearly affected by the game mode, whereas recovery appears to be independent of game mode. The results obtained using the LMM did not differ significantly from those obtained using the general regression model; however, it was shown that treatment effects could be improved by consideration of random effects in the regression model.