An Ordinal Regression Method for Multicriteria Analysis of Customer Satisfaction

2009 ◽  
pp. 167-176 ◽  
Author(s):  
Isabel M. João ◽  
Carlos A. Bana e Costa ◽  
José Rui Figueira
Keyword(s):  
Customer Satisfaction ◽  
Multicriteria Analysis ◽  
Ordinal Regression ◽  
Regression Method

Modeling customer satisfaction of bus transit with bus lanes based on ordinal regression

2020 ◽  
Author(s):  
Han Yang ◽  
Chen Qian ◽  
Linghui He ◽  
Zhengyu Duan ◽  
Dongyuan Yang
Keyword(s):  
Customer Satisfaction ◽  
Ordinal Regression ◽  
Bus Transit

ANALISIS KUALITAS PELAYANAN, KEPERCAYAAN DAN KETEPATAN WAKTU TERHADAP KEPUASAN PELANGGAN PT. PILAR PRIMA NUSANTARA (J&T EXPRESS) DELANGGU

2021 ◽  
Vol 5 (1) ◽  
Author(s):  
William Arbiansyah Pasaribu ◽  
Bambang Mursito ◽  
Djumali Djumali
Keyword(s):  
Linear Regression ◽  
Customer Satisfaction ◽  
Service Quality ◽  
Brand Image ◽  
Sampling Technique ◽  
Regression Method ◽  
Linear Regression Method ◽  
Purchase Decisions ◽  
Business People ◽  
Multiple Linear Regression Method

Business people experience very tough competition. Every shipping business actor is required to be sensitive to any changes that occur and prioritize customer satisfaction as the main goal. This study aims to identify and explain customer satisfaction in terms of service quality, trustworthiness, and timeliness of delivery of J&T Express Delanggu customers. The research sampling technique used accidental sampling of 100 consumers with multiple linear regression method. The results of this study are service quality, trustworthiness, and punctuality have a significant effect on customer satisfaction J&T Express Delanggu. Partially each variable, namely service quality, trustworthiness, and timeliness have a significant effect on customer satisfaction at J&T Express Delanggu. Customer satisfaction variables can be explained by the variable product quality, brand image and service by 31.7% and others are influenced by other variables. Keywords: purchase decisions, service quality, trustworthiness, and timeliness

scholarly journals PENGARUH KUALITAS PELAYANAN SDM BANK SYARIAH TERHADAP KEPUASAN NASABAH: STUDI PADA BPRS BERKAH RAMADHAN

ETIKONOMI ◽  
2013 ◽  
Vol 12 (1) ◽  
Author(s):  
Hermanto Hermanto
Keyword(s):  
Customer Satisfaction ◽  
Human Resources ◽  
Sampling Method ◽  
Sampling Technique ◽  
Regression Method ◽  
Linear Regression Method ◽  
Islamic Banks ◽  
Multiple Linear Regression Method ◽  
Analysis Technique

The purpose of this study was to observe the effect of the quality of human resource services of Islamic banks on customer satisfaction. The analysis technique used in this study is the multiple linear regression method. Data collection in this study combines the questionnaires and interviews. The sampling technique used in this study is accidental sampling method. The results show that there is a quality of the human resources of Islamic banks have an influence on the level of customer satisfaction either partially or simultaneously. While partially, only guarantees only variable that has a significant effect. This shows that it is necessary to improve the quality of service in the SRB Blessings of Ramadan in improving customer satisfactionDOI: 10.15408/etk.v12i1.1907

scholarly journals Contrasting Two Frameworks for ROC Analysis of Ordinal Ratings

2010 ◽  
Vol 30 (4) ◽  
pp. 484-498 ◽  
Author(s):  
Daryl E. Morris ◽  
Margaret Sullivan Pepe ◽  
William E. Barlow
Keyword(s):  
Roc Analysis ◽  
Direct Method ◽  
Roc Curves ◽  
Ordinal Regression ◽  
Regression Method ◽  
Modeling Method ◽  
Parameter Estimates ◽  
Estimated Parameters ◽  
Covariate Effects ◽  
Scientific Questions

Background. Statistical evaluation of medical imaging tests used for diagnostic and prognostic purposes often employs receiver operating characteristic (ROC) curves. Two methods for ROC analysis are popular. The ordinal regression method is the standard approach used when evaluating tests with ordinal values. The direct ROC modeling method is a more recently developed approach, motivated by applications to tests with continuous values. Objective. The authors compare the methods in terms of model formulations, interpretations of estimated parameters, the ranges of scientific questions that can be addressed with them, their computational algorithms, and the efficiencies with which they use data. Results. The authors show that a strong relationship exists between the methods by demonstrating that they fit the same models when only a single test is evaluated. The ordinal regression models are typically alternative parameterizations of the direct ROC models and vice versa. The direct method has two major advantages over the ordinal regression method: 1) estimated parameters relate directly to ROC curves, facilitating interpretations of covariate effects on ROC performance, and 2) comparisons between tests can be done directly in this framework. Comparisons can be made while accommodating covariate effects and even between tests that have values on different scales, such as between a continuous biomarker test and an ordinal valued imaging test. The ordinal regression method provides slightly more precise parameter estimates from data in our simulated data models. Conclusion. Although the ordinal regression method is slightly more efficient, the direct ROC modeling method has important advantages in regard to interpretation, and it offers a framework to address a broader range of scientific questions, including the facility to compare tests.

Internal Customer Satisfaction in Health-Care Organizations: A Multicriteria Analysis Approach

2014 ◽  
Vol 37 (10) ◽  
pp. 646-654 ◽  
Author(s):  
Panagiotis Manolitzas ◽  
Vasileios Fortsas ◽  
Evangelos Grigoroudis ◽  
Nikolaos Matsatsinis
Keyword(s):  
Health Care ◽  
Customer Satisfaction ◽  
Health Care Organizations ◽  
Multicriteria Analysis ◽  
Analysis Approach ◽  
Internal Customer

scholarly journals ANALISIS PENGARUH BRAND EXPERIENCE TERHADAP BRAND TRUST DAN DAMPAKNYA PADA CUSTOMER SATISFACTION PRODUK KAOS POLO PADA PENGUNJUNG AEON MALL BSD CITY

2018 ◽  
Vol 7 (2) ◽  
Author(s):  
Kusdianto Kusdianto
Keyword(s):  
Customer Satisfaction ◽  
Statistical Data ◽  
Secondary Data ◽  
Sampling Technique ◽  
Regression Method ◽  
Linear Regression Method ◽  
Brand Experience ◽  
Brand Trust ◽  
Simple Linear Regression ◽  
Data Processing Software

The purpose of this study is to know and analyze how much influence the brand experience on brand trust and its impact on customer satisfaction of Polo T-Shirt product. Population in this research is every visitor Aeon Mall BSD City met by researcher who was wearing Polo T-Shirt, hence by using unidentified formula obtained by amount of sample counted 100 person. Sampling technique by accidental sampling that anyone who happens to meet can be sampled if it meets the criteria. This research uses an associative-explanatory method. The data used are primary and secondary data. Hypothesis testing is done by using simple linear regression method. Data analysis using statistical data processing software SPSS 22 for Windows. The result of this research shows that brand experience have positive and significant effect to brand trust product of Polo shirt, and brand trust have positive and significant influence to customer satisfaction of Polo T-Shirt product

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