• 제목/요약/키워드: Quantitative and Qualitative Regression Analysis

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서비스 실패 회복과 종업원 진정성: 서비스 보상에 대한 진정성의 조절효과를 중심으로 (Service Recovery and Employees' Authenticity: Focusing on the Moderating Effects of Authenticity on Service Compensation)

  • 이수;노용휘;최승국
    • 품질경영학회지
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    • 제51권2호
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    • pp.247-261
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    • 2023
  • Purpose: This study investigates the relationship between service compensation, consumer sentiment and revisit intention for service recovery in the Chinese foodservice industry, and the moderating effect of employee authenticity. Methods: Data were collected from people who experienced eating out in a city located in central China, and the hypothesis was verified through multiple regression analysis and hierarchical regression analysis. Results: The results indicate that the specificity of compensation affects both positive and negative emotions of customers, and the activeness of compensation also influences positive emotions of customers. Also, employee autheticity moderates the effect of specificity of compensation on customers' positive emotions. Both positive and negative emotions of customers influences revisit intention. Conclusion: These results show that the role of service compensation is important in service recovery in the rapidly expanding Chinese foodservice industry. In addition, since the sincerity of employees plays an important role in maximizing the recovery effect in the process of service recovery, it suggests that it is important not only to improve services in the quantitative aspect but also in the qualitative aspect through employee training.

Prediction of Residual Axillary Nodal Metastasis Following Neoadjuvant Chemotherapy for Breast Cancer: Radiomics Analysis Based on Chest Computed Tomography

  • Hyo-jae Lee;Anh-Tien Nguyen;Myung Won Song;Jong Eun Lee;Seol Bin Park;Won Gi Jeong;Min Ho Park;Ji Shin Lee;Ilwoo Park;Hyo Soon Lim
    • Korean Journal of Radiology
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    • 제24권6호
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    • pp.498-511
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    • 2023
  • Objective: To evaluate the diagnostic performance of chest computed tomography (CT)-based qualitative and radiomics models for predicting residual axillary nodal metastasis after neoadjuvant chemotherapy (NAC) for patients with clinically node-positive breast cancer. Materials and Methods: This retrospective study included 226 women (mean age, 51.4 years) with clinically node-positive breast cancer treated with NAC followed by surgery between January 2015 and July 2021. Patients were randomly divided into the training and test sets (4:1 ratio). The following predictive models were built: a qualitative CT feature model using logistic regression based on qualitative imaging features of axillary nodes from the pooled data obtained using the visual interpretations of three radiologists; three radiomics models using radiomics features from three (intranodal, perinodal, and combined) different regions of interest (ROIs) delineated on pre-NAC CT and post-NAC CT using a gradient-boosting classifier; and fusion models integrating clinicopathologic factors with the qualitative CT feature model (referred to as clinical-qualitative CT feature models) or with the combined ROI radiomics model (referred to as clinical-radiomics models). The area under the curve (AUC) was used to assess and compare the model performance. Results: Clinical N stage, biological subtype, and primary tumor response indicated by imaging were associated with residual nodal metastasis during the multivariable analysis (all P < 0.05). The AUCs of the qualitative CT feature model and radiomics models (intranodal, perinodal, and combined ROI models) according to post-NAC CT were 0.642, 0.812, 0.762, and 0.832, respectively. The AUCs of the clinical-qualitative CT feature model and clinical-radiomics model according to post-NAC CT were 0.740 and 0.866, respectively. Conclusion: CT-based predictive models showed good diagnostic performance for predicting residual nodal metastasis after NAC. Quantitative radiomics analysis may provide a higher level of performance than qualitative CT features models. Larger multicenter studies should be conducted to confirm their performance.

Determinants Influencing Management Competency of Small and Medium Enterprise Directors in Vietnam

  • DOAN, Thi Mai Huong;DO, Minh Thuy;MAI, Thanh Lan;DO, Vu Phuong Anh;NGUYEN, Thi Loan
    • The Journal of Asian Finance, Economics and Business
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    • 제8권12호
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    • pp.107-115
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    • 2021
  • Currently, small and medium-sized enterprises (SMEs) are accounting for about 98% of the total number of enterprises in Vietnam. Each year, SMEs create over one million new jobs, utilize up to 51% of the labor force in the society, and contribute more than 40% of GDP to the country. The study aims to analyze factors affecting the management competency of directors in small and medium enterprises in Vietnam. To achieve these research objectives, quantitative and qualitative methods were used concurrently. 300 questionnaires were sent out, but only 276 were collected and used for the quantitative analysis through SPSS 20.0 software. Cronbach's Alpha, EFA, and regression were used to further confirm the research findings. The research findings show that all four proposed factors have impacts on the management competency of SME directors, among which enterprise features and specific policies for entrepreneur development in the locality have the strongest impacts, followed by personal features and business environment. The findings of this study suggest that managers need to focus on factors affecting the management competency of directors. This paper also provides new insight into the management competency of directors. Based on the findings, some recommendations are given for SMEs to improve management competency.

엑셀 VBA를 이용한 이분형 로지스틱 회귀모형 교육도구 개발 (An educational tool for binary logistic regression model using Excel VBA)

  • 박철용;최현석
    • Journal of the Korean Data and Information Science Society
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    • 제25권2호
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    • pp.403-410
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    • 2014
  • 이분형 로지스틱 회귀분석은 양적 혹은 질적 설명변수를 이용해서 이분형 반응변수를 설명하는 하나의 통계적인 기법이다. 이 모형에서는 반응변수가 1이 될 확률을 설명변수들의 선형결합의 변환(혹은 함수)으로 설명하고자 한다. 이 개념에 대한 이해가 비통계학자들이 이분형 로지스틱 회귀모형을 이해하는데 있어서 넘어야 할 커다란 장벽 중의 하나이다. 이 연구에서는 이분형 로지스틱 회귀모형의 필요성을 엑셀 VBA를 이용하여 설명하는 교육도구를 개발하고자 한다. 반응변수가 1이 될 확률을 설명변수의 선형함수로 모형화 할 때의 문제점과 선형결합에 대한 변환을 통해 이 문제점이 어떻게 해소되는지 보여준다.

Japanese Political Interviews: The Integration of Conversation Analysis and Facial Expression Analysis

  • Kinoshita, Ken
    • Asian Journal for Public Opinion Research
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    • 제8권3호
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    • pp.180-196
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    • 2020
  • This paper considers Japanese political interviews to integrate conversation and facial expression analysis. The behaviors of political leaders will be disclosed by analyzing questions and responses by using the turn-taking system in conversation analysis. Additionally, audiences who cannot understand verbal expressions alone will understand the psychology of political leaders by analyzing their facial expressions. Integral analyses promote understanding of the types of facial and verbal expressions of politicians and their effect on public opinion. Politicians have unique techniques to convince people. If people do not know these techniques and ways of various expressions, they will become confused, and politics may fall into populism as a result. To avoid this, a complete understanding of verbal and non-verbal behaviors is needed. This paper presents two analyses. The first analysis is a qualitative analysis that deals with Prime Minister Shinzō Abe and shows that differences between words and happy facial expressions occur. That result indicates that Abe expresses disgusted facial expressions when faced with the same question from an interviewer. The second is a quantitative multiple regression analysis where the dependent variables are six facial expressions: happy, sad, angry, surprised, scared, and disgusted. The independent variable is when politicians have a threat to face. Political interviews that directly inform audiences are used as a tool by politicians. Those interviews play an important role in modelling public opinion. The audience watches political interviews, and these mold support to the party. Watching political interviews contributes to the decision to support the political party when they vote in a coming election.

네일매장의 점포속성이 재방문의도에 미치는 영향 - 단독 매장을 중심으로 - (The nail store's store attributes on revisit intensity - focus on independent stores -)

  • 임윤경;곽태기
    • 한국의상디자인학회지
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    • 제22권2호
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    • pp.45-59
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    • 2020
  • The purpose of this study was to clarify that the effect of consumer's perception of nail store attributes has on intent to revisit (focus on independent stores) by performing quantitative research. The importance of nail stores is increasing with sales amounts and the number of workers, however, previous research in this area is not complete. The reason that this qualitative research should be done before the quantitative research is due to the scant theoretical background in this matter. As the nail market is steadily increasing, determining the factors to make a successful and influential store leading to revisits is very meaningful both academically and in business. For the quantitative study, consumers from 20 years old to less 60 years old who had purchased nail service at independent nail stores were included in the survey. Quota sampling was adopted in the areas where the independent nail stores were located from May 10th to May 30th, 2019, and 262 questionnaires were collected, and those containing insincere respondences were excluded. The most important nail store attribute was reliability (store name value, relationship with workers and A/S) and then the physical environment, economics, product, and promptness. The result depended on demographic factors- younger and lower-income respondents put a premium on the physical environment, promptness, and economics, on the other hand, older and higher-income respondents placed a priority on reliability. The correlation analysis result is that all store attributes (reliability, physical environment, economics, promptness, product) show a statistical significance. A multiple regression analysis was conducted to determine the effects of nail store attribute importance on revisit intention. Promptness, economics, and the physical environment have a statistically significant effect on the consumer's revisit intention.

FT-IR 스펙트럼 데이터의 다변량 통계분석을 이용한 고기능성 아프리칸 얌 식별 및 기능성 성분 함량 예측 모델링 (Discrimination of African Yams Containing High Functional Compounds Using FT-IR Fingerprinting Combined by Multivariate Analysis and Quantitative Prediction of Functional Compounds by PLS Regression Modeling)

  • 송승엽;지은이;안명숙;김동진;김인중;김석원
    • 원예과학기술지
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    • 제32권1호
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    • pp.105-114
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    • 2014
  • 본 연구에서는 UV-VIS spectrophotometer를 이용한 total carotenoids, flavonoids, phenolics 함량 데이터와 FT-IR 스펙트럼 데이터를 다변량통계분석법을 통하여 기능성 성분 함량이 높은 아프리칸 얌 고속 선발 시스템을 구축하였다. 62개 아프리칸 얌의 total carotenoids 함량은 $0.01-0.91{\mu}g{\cdot}g^{-1}$ dry wt 나타냈다. Total flavonoids와 phenolics 함량은 $12.9-229.0{\mu}g{\cdot}g^{-1}$ dry wt와 $0.29-5.2mg{\cdot}g^{-1}$ dry wt로 각각 나타났다. 아프리칸 얌은 FT-IR 스펙트럼상의 1700-1500, 1500-1300, $1,100-950cm^{-1}$, 부위에서 중요한 스펙트럼 변화가 나타났다. 이 부위는 각각 amide I과 II을 포함하는 아미노산 및 단백질계열의 화합물, phosphodiester group을 포함한 핵산 및 인지질 그리고 단당류나 복합 다당류를 포함하는 carbohydrates 계열의 화합물들의 질적, 양적 정보를 반영하는 부위이다. PCA 분석과 PLS-DA 분석에서 62개 아프리칸 얌은 유연성이 높은 종으로 3개의 그룹을 형성하였다. 아프리칸 얌의 FT-IR 스펙트럼 데이터와 UV-VIS spectrophotometer을 이용한 total carotenoids, flavonoids, phenolics 함량 데이터 간에 PLS regression 분석하였다. Total carotenoids, flavonoids, phenolics 함량 성분의 실측 값과 예측 값간에 상관계수($R^2$)가 각각 0.83, 0.86, 0.72로 나타났다. 이 결과, 아프리칸 얌으로부터 FT-IR 스펙트럼을 이용한 total carotenoids, flavonoids, phenolics 함량 예측이 가능하였다. 본 연구에서 확립된 대사체 수준에서 아프리칸 얌의 유용 기능성 성분 함량 예측 모델링을 통해 품종, 계통의 신속한 선발 수단으로 활용이 가능할 것으로 예상된다.

Determinants of Improving the Financial Security of Retired Women in Malaysia

  • ZAINUDDIN, Halimatul Nadia;MOHAMAD, Nor Edi Azhar;RAJADURAI, R. Jegatheesan V.;SAPUAN, Noraina Mazuin;SANUSI, Nur Azura
    • The Journal of Asian Finance, Economics and Business
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    • 제9권6호
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    • pp.11-21
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    • 2022
  • The perspectives on aging women's financial security during their retirement years are based on their behavior, planning, and decision-making processes during their working years. Elderly women are considered vulnerable and have a longer life expectancy, lower-income, and limited financial understanding compared to males; therefore, drastic steps need to be taken to improve their financial stability and quality of life. The current study sought to determine the most important contributors to retired women's financial health by measuring the value of four factors/variables: capability, opportunity, willingness, and biopsychosocial. This study used a mixed model approach, with qualitative analysis in the first phase involving a focus group discussion session, a pilot analysis, and quantitative analysis for phase two involving the distribution and collection of questionnaires completed by retired women. The surveys were distributed across Malaysia in five distinct zones and yielded 339 usable replies to support the theory. The outcomes of the Multiple Regression Analysis in Malaysia revealed that capability, opportunity, and biopsychosocial factors are significant predictors of retired women's financial security, whereas the willingness indicator lacked statistical significance.

농촌 산업단지 내 근린공원의 이용실태 및 시설 평가 연구 - 천안 제 4지방산업단지 내 근린공원을 중심으로 - (A Study on Status of Use and Facilities importance level evaluation of Neighborhood Park in Industry Complex on the rural - With Special Reference on 4 Local Industry Complex of Cheonan City)

  • 윤요선;류수훈
    • 한국농촌건축학회논문집
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    • 제15권1호
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    • pp.65-72
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    • 2013
  • Neighborhood park has the multiple functions toward quantitative and qualitative improvement of quality of citizen's life. This study is about neighborhood park in 4 Local Industry Complex of Cheonan City. Through this study has intended to analyze the status of use and the importance level of facilities. To reach this goal, this study has analyzed the general information, use and importance level of users through such statistical methods as frequency analysis, regression analysis and reliability analysis. As a result, users has the speciality in the neighborhood park in industry complex. Break area or facilities for the workers should be installed. Not end once installed, but continually improved and more efficient management of park facilities will be made. Also, importance of facilities analysis has the higher in normal or importance. Management and cleanliness is especially higher in importance. Importance for the overall facility was affecting in order the facility design, management, safety, installation number.

데이터 마이닝을 통한 기술경영 전략 수립에 관한 연구 (Establishment of Strategy for Management of Technology Using Data Mining Technique)

  • 이준석;이준혁;김갑조;박상성;장동식
    • 한국지능시스템학회논문지
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    • 제25권2호
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    • pp.126-132
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    • 2015
  • 기술예측은 현재까지 관측된 특정기술에 대한 데이터를 바탕으로 미래에 그 기술이 어떠한 상태가 될 지를 알아보는 것으로써 기술경영 전략 수립 시 유용하게 사용된다. 현재는 전문가 의견을 바탕으로 한 분석법을 이용하여 기술예측을 실시하고, 국가, 기업 그리고 연구자는 이를 근거로 연구개발의 방향 및 전략을 수립한다. 전문가의 의견을 바탕으로 하는 정성적 기술예측은 전문가마다 다른 결과를 예상할 수 있고, 여러 전문가의 의견을 수집하여야 하므로 많은 시간과 비용을 필요로 한다. 이러한 문제점을 극복하고 예측에 대한 객관성을 확보하여 기업의 연구개발 의사결정을 돕기 위해 정량적 예측법을 바탕으로 한 기술예측 방법이 연구되고 있다. 본 논문에서는 정량적 분석법에 기반 한 기술예측 방법론에 대한 연구를 제안한다. 제안된 방법은 데이터 수집, 주성분 분석, 그리고 데이터마이닝 기법 중 하나인 로지스틱 회귀분석을 이용한 예측 단계로 구성되어 있다. 본 연구에서는 무인자동차에 관련된 특허 문서를 이용하여 데이터를 수집 및 추출하고, 특허문서의 텍스트를 마이닝하여 분석이 가능한 형태로 구축한다. 주성분분석 후 추출된 주성분 점수를 이용하여 로지스틱 회귀분석을 실시하며 이를 바탕으로 개발현황 분석 및 기술예측을 시행한다.