• Title/Summary/Keyword: Multiple factor regression

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Factor Affecting Customers Satisfaction About Banking Services: Evidence from Agribank, Vietnam

  • NGUYEN, Dung Thi;NGUYEN, Ha Quang;PHUNG, Hanh My Tran;THAN, Hoang Viet
    • The Journal of Asian Finance, Economics and Business
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    • v.9 no.6
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    • pp.373-380
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    • 2022
  • Today, customer satisfaction is the most important issue for Vietnamese banks. There are numerous factors that influence bank customers' satisfaction. The study investigates the factors that influence customer satisfaction with deposit services at the Vietnam Bank for Agriculture and Rural Development (Agribank) in Bac Giang province, Vietnam, and analyses the impact of each component. The authors used 5-point Likert scales to assess whether elements were related to the factors determining consumer satisfaction with Agribank's deposit service. To perform this study, exploratory factor analysis (EFA) and multiple regression were used to find factors determining customer satisfaction with Agribank services. Customers that use deposit services at Agribank in Bac Giang province, Vietnam, provided samples of 300 survey questionnaires for this study. SPSS software is used to examine the data. Customers' satisfaction with Agribank's deposit service is influenced by six factors, including reliability, responsiveness, service capabilities, empathy, tangible means, and service price, according to the study. This finding also offers some recommendations for improving service quality in local Vietnamese banks to gain a competitive advantage.

Determinants of Green Total Factor Productivity of Agricultural Sector in Indonesia, 1980-2018

  • Ahmad Satria IRMANTO;Siskarossa Ika OKTORA
    • Asian Journal of Business Environment
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    • v.13 no.2
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    • pp.21-28
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    • 2023
  • Purpose: This study aims to analyze the determinants of Green Total Factor Productivity (Green TFP) growth in the agricultural sector in Indonesia from 1980-2018. Research design, data, and methodology: The growth of Green TFP in the agricultural sector is calculated using the Growth Accounting Method. Moreover, this study uses multiple linear regression to analyze the determinants of the growth of Green TFP in the agricultural sector in Indonesia. Results: The survey results show that the average growth of Green TFP in the agricultural sector in Indonesia is still negative, which indicates that the efficiency of production factor or mastery of technology is still low. Inflation and patent applications are variables that significantly affect the growth of Green TFP in the agricultural sector, where the inflation variable has a negative effect. In contrast, the variable growth of patent applications has a positive impact. Conclusions: The government needs to continue to improve efficiency by organizing various programs related to increasing mastery of technology in the agricultural sector. The government also needs to advance research and development by promoting patents to become research incentives and impact the improvement of new technologies, especially those related to the environment. Moreover, economic stability needs to be maintained through inflation control.

Bayesian test for the differences of survival functions in multiple groups

  • Kim, Gwangsu
    • Communications for Statistical Applications and Methods
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    • v.24 no.2
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    • pp.115-127
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    • 2017
  • This paper proposes a Bayesian test for the equivalence of survival functions in multiple groups. Proposed Bayesian test use the model of Cox's regression with time-varying coefficients. B-spline expansions are used for the time-varying coefficients, and the proposed test use only the partial likelihood, which provides easier computations. Various simulations of the proposed test and typical tests such as log-rank and Fleming and Harrington tests were conducted. This result shows that the proposed test is consistent as data size increase. Specifically, the power of the proposed test is high despite the existence of crossing hazards. The proposed test is based on a Bayesian approach, which is more flexible when used in multiple tests. The proposed test can therefore perform various tests simultaneously. Real data analysis of Larynx Cancer Data was conducted to assess applicability.

The Effects of Factor Satisfaction and Experience Satisfaction in Foreign Medical Services on Revisit Intentions - Focused on Medical Institutions in Daegu Metropolitan City (의료서비스를 이용한 외국인환자의 요소만족 및 체감만족이 재방문의도에 미치는 영향)

  • Lee, Chang Won;Kim, Dae Geun
    • Korea Journal of Hospital Management
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    • v.23 no.2
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    • pp.95-105
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    • 2018
  • Objective: This study conducted an empirical research on foreign patients who had visited the medical institutions of Daegu region in order to identify the effects of the factor satisfaction and experience satisfaction with medical services on their revisit intentions. Methods: This study reviewed the existing studies on medical services to foreign patients with a main focus on medical tourism, and conducted the empirical research through a survey on foreign patients from the Russian, Chinese and English-speaking regions based on the Daegu Medical Tourism Promotion Institute's DB of foreign patients. The empirical research conducted a multiple regression analysis on factor satisfaction and experience satisfaction regarding return visit intentions. Results: The multiple regression analysis results showed that both the factor satisfaction and the experience satisfaction with medical services of foreign patients had positive effects on their return visit intentions, especially, with a relatively greater effect from the factor satisfaction. Specifically, it was found that factor satisfaction elements of 'friendliness of employees', 'good communication', and 'expertise of medical workers'; and experience satisfaction elements of 'reliability of medical information', 'efforts to minimize incompatibility towards foreigners', 'convenient access to medical information' and the like enhanced the return visit intentions. Conclusion: We discovered that, in the context of medical tourism activities, it is important to enhance factor satisfaction and experience satisfaction with medical services in order to promote return visits of the foreign patients who we once attracted. Especially, there are implications that reliability of medical information and efforts to minimize incompatibility towards foreigners enhance return visits of foreign patients.

A Study on Major Factors on Patient Satisfaction of General Hospitals in Korea - Analysis of factors associated with in Health Service Evaluation Program by the Korean Government - (종합병원 입원환자와 외래환자의 만족도 요인 분석 - 의료기관 서비스평가 자료를 활용한 실증 분석 -)

  • Bae, Sung-Kwon;Nam, Eun-Woo;Park, Jae-Young
    • Korea Journal of Hospital Management
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    • v.10 no.2
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    • pp.26-44
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    • 2005
  • The purpose of this study was to investigate these major factors on patient satisfaction, and to examine the affecting level of major factors in. The subjects in this study was 70 hospitals that were surveyed the hospital evaluation program containing the survey of patient satisfaction by KHIDI(Korea Health Industry Development Institute) from 1997 to 1999. The collected data was analysed SPSS for Windows(Ver 10.0). On basically, frequency analysis, t-test, and ANOVA was performed and, for more analysis, correlation analysis, factor analysis, multiple regression analysis, logistic regression analysis was utilized. According to this study, the major factors of inpatient satisfaction are divided 3 types facility factor, manpower factor, and service factor. And the major factors of outpatient satisfaction are analyzed 5 types; facility factor related direct medical service, facility factor related indirect medical services, manpower factor, pharmacy factor, and facility factor related utilization convenience. The importance of this study lies in the identification of major factors on hospital patient satisfaction.

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The Effect of Cognitive Emotional Control on Happiness Levels

  • Kim, Jungae;Kim, Milang
    • International Journal of Advanced Culture Technology
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    • v.9 no.1
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    • pp.143-151
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    • 2021
  • This study was a cross-sectional descriptive research to analyze the effects of sub-factors of cognitive emotional control on happiness levels. The participants of the study were 201 men and women in their 20s, and data were collected online from January 1 to 15 collected data were, 2001 using structured cognitive control and happiness level questionnaires. The collected data were conducted Independent t-test, Pearson correlation analysis, simple regression analysis, multiple regression Analysis, hierarchical regression analysis using SPSS 18.0 statistic program. As a result, the study appeared that the level of happiness by gender does not differ, and cognitive emotional control affected 58.5%. The average of cognitive emotional control was higher for all men, but women were higher than men in criticized others. Also, acceptance was the sub-factor of emotional control that most affected the level of happiness (β=-.587, p<0.01). Based on the results of this study, it is suggested that a systematic program on subject of acceptance, a sub-factor of cognitive emotional control, should be developed to improve the level of happiness.

Application of Regression Analysis Model to TOC Concentration Estimation - Osu Stream Watershed - (회귀분석에 의한 TOC 농도 추정 - 오수천 유역을 대상으로 -)

  • Park, Jinhwan;Moon, Myungjin;Han, Sungwook;Lee, Hyungjin;Jung, Soojung;Hwang, Kyungsup;Kim, Kapsoon
    • Journal of Environmental Impact Assessment
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    • v.23 no.3
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    • pp.187-196
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    • 2014
  • The objective of this study is to evaluate and analyze Osu stream watershed water environment system. The data were collected from January 2009 to December 2011 including water temperature, pH, DO, EC, BOD, COD, TOC, SS, T-N, T-P and discharge. The data were used for principle component analysis and factor analysis. The results are as followes. The primary factors obtained from both the principal component analysis and the factor analysis were BOD, COD, TOC, SS and T-P. Once principal component analysis and factor analysis have been performed with the collected data and then the results will be applied to both simple regression model and multiple regression model. The regression model was developed into case 1 using concentrations of water quality parameters and case 2 using delivery loads. The value of the coefficient of determination on case 1 fell between 0.629 and 0.866; this was lower than case 2 value which fell between 0.946 and 0.998. Therefore, case 2 model would be a reliable choice.The coefficient of determination between the estimated figure using data which was developed to the regression model in 2012 and the actual measurement value was over 0.6, overall. It can be safely deduced that the correlation value between the two findings was high. The same model can be applied to get TOC concentrations in future.

Quantified Impact Analysis of Construction Delay Factors on Steel Staircase Systems

  • Kim, Hyun-Mi;Kim, Tae-Hyung;Shin, Young-Keun;Kim, Young-Suk;Han, Seungwoo
    • Journal of the Korea Institute of Building Construction
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    • v.12 no.6
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    • pp.636-647
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    • 2012
  • Construction projects have become so large, complicated and incredibly high-tech that process management is currently considered one of the most important issues. Unlike typical manufacturing industries, most major construction activities are performed in the open air and thus are exposed to various environmental factors. Many studies have been conducted with the goal of establishing efficient techniques and tools for overcoming these limitations. Productivity analysis and prediction, one of the related research subjects, must be considered when evaluating approaches to reducing construction duration and costs. The aim of this research is to present a quantified impact analysis of construction delay factors on construction productivity of a steel staircase system, which has been widely applied to high rise building construction. It is also expected to improve the process by managing the factors, ultimately achieving an improvement in construction productivity. To achieve the research objectives, this paper analyzed different delay factors affecting construction duration by means of multiple regression analysis focusing on steel staircase systems, which have critical effects on the preceding and subsequent processes in structure construction. Statistical analysis on the multiple linear regression model indicated that the environment, labor and material delay factors were statistically significant, with 0.293, 0.491, and 0.203 as the respective quantified impacts on productivity.

The Effects of Clothing Shopping Orientations on Consumers' Emotions in Clothing Stores based on Level of Clothing Involvement (소비자의 의복관여 수준별 의복쇼핑성향이 의류점포내에서의 소비자 정서에 미치는 영향)

  • Cho, Sun-Hee
    • Fashion & Textile Research Journal
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    • v.1 no.2
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    • pp.109-118
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    • 1999
  • The purpose of this study is to investigate the effects of clothing shopping orientations on consumers emotions in clothing stores based on level of clothing involvement. For this purpose, factor analysis was used to identify shopper types by clothing shopping orientation and factors of consumers' emotions and multiple regression analysis was used in each level of upper 25% and lower 25% of clothing involvement to find out the effects of clothing shopping orientations on consumers' emotions. The results of this study can be summarized as follows; 1. 4 factors were found in clothing involvement. 2. 6 factors were found in clothing shopping orientations but 'recreational shopping orientation' 'economic shopping orientation' of high loading factors were used for multiple regression analysis, 3. 4 factors were found in consumers' emotions but 'pleasure' arousal' 'enervation' were selected for multiple regression analysis. 4. In the upper 25% group of clothing involvement level; it is founded that 'recreational shopping orientation' influenced 'pleasure' and 'economic shopping orientation' did not influence 'pleasure'; it is founded that 'recreational shopping orientation' influenced 'arousal' and 'economic shopping orientation' did not influence 'arousal'; 'recreational shopping orientation' and 'economic shopping orientation' did not influence 'enervation'. 5, In the lower 25% group of clothing involvement level; it is founded that 'recreational shopping orientation' and 'economic shopping orientation' influenced 'pleasure' and did not influence 'arousal'; it is founded that only 'economic shopping orientation' influenced 'enervation' negatively.

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Organizational Commitment and Its Related Factor among Medium Hospitals of Nurses (종합병원 간호사의 조직몰입과 관련요인)

  • Lee, Young-Mee
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.12 no.11
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    • pp.4764-4769
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    • 2011
  • This study intends to investigate the organizational commitment and Its related factors among medium hospital of nurses. The collected data were analyzed descriptive statistics, t-test, ANOVA, Scheffe's test, Pearson correlation coefficient and stepwise multiple regression using SPSS 19.0 Program. The score of level of organizational commitment was statistically significant difference according to working period, marital state, monthly income, personality, night-duty. The score of organizational commitment level correlated positively with job satisfaction and burnout. Stepwise multiple regression analysis for organizational commitment level revealed that the most powerful predictor was burnout, job satisfaction and night-duty explained 49.5% of the variance. Therefore, It suggested that goal of increasing nurses' organizational commitment in hospital should be helped them raise job satisfaction and decrease nurses' burnout and night duty.