Investigating Customer Satisfaction Patterns in a Community Livability Context: An Efficiency-Oriented Decision-Making Approach

2018 ◽  
Author(s):  
Golnaz Sarram ◽  
Stephanie S. Ivey
Keyword(s):  
Decision Making ◽  
Customer Satisfaction ◽  
Community Livability

Profit distribution of liner alliance based on shapley value

2021 ◽  
pp. 1-5
Author(s):  
Bin Guo ◽  
Shengyue Hao ◽  
Guangmei Cao ◽  
Honghu Gao
Keyword(s):  
Decision Making ◽  
Customer Satisfaction ◽  
Shapley Value ◽  
Case Analysis ◽  
Distribution Method ◽  
New Model ◽  
Profit Distribution ◽  
Scientific Decision ◽  
Stable Development

Profit distribution plays an important role in the sustainable and stable development of liner alliances, this paper tries to solve the profit distribution issues in the liner alliance based on Shapley Value Method. Meanwhile, seeing that there is little consideration from the customer satisfaction, this paper establishes a new model by revising Shapley Value Method to distribute the profit of liner alliances from the perspectives of suppliers and customers and carry out verification through case analysis. The profit distribution method proposed in the paper is helpful to the reasonable profit distribution of liner alliance. It ensures the continuity and stability of liner alliance and provides a scientific decision-making basis for the profit distribution of liner alliance.

A Quality Assurance System in a Pervasive Computing Environment

2010 ◽  
pp. 61-76
Author(s):  
Amitava Mitra
Keyword(s):  
Decision Making ◽  
Quality Assurance ◽  
Quality Management ◽  
Customer Satisfaction ◽  
Management System ◽  
Quality Management System ◽  
Quality Assurance System ◽  
Management Objectives ◽  
Product Service

As the competition for products and services continues to grow, with customer satisfaction playing an integral part in this process, organizations are faced with the task of ensuring quality in all of their activities. Since many organizations do not necessarily produce the entire product or deliver the service by themselves, they are dependent on other vital sources, for example, suppliers, that impact quality of the finished product/service. This necessitates development and implementation of a quality management system which can integrate information from the various entities to facilitate decision making in a timely manner. Additionally, it is desirable for such a quality management system to be responsive to the existing quality environment at the various sources that contribute to the manufacture of the product or delivery of the service. This chapter provides a foundation for accomplishing such quality management objectives.

scholarly journals The Empirical Analysis to Enhance Taiwanese Satisfaction in Buying Vietnam coffee

2017 ◽  
Vol 6 (3) ◽  
pp. 274
Author(s):  
Thi Nham Le ◽  
Chia Nan Wang ◽  
Ying Fang Huang
Keyword(s):  
Decision Making ◽  
Factor Analysis ◽  
Regression Analysis ◽  
Customer Satisfaction ◽  
Reliability Analysis ◽  
Empirical Analysis ◽  
Exploratory Factor Analysis ◽  
Integrated Approach ◽  
The World ◽  
The Empirical Analysis

<span lang="EN-US">Vietnam coffee industry has been well-known over the world for many decades. However, Vietnam products do not meet Taiwan customers’ expectation, it has lead to urgent challenges for the industry. Therefore, the paper proposed the integrated approach by using exploratory factor analysis, reliability analysis and regression analysis. The results of this study were used to <a name="OLE_LINK175"></a><a name="OLE_LINK174"></a>formulate and recommend on how to improve the products of Vietnam coffee by using SPSS statistics for analysis. The major findings of this paper was found out that there are six important determinants of Taiwanese decision-making in buying coffee. In order to enhance customer satisfaction with the coffee products from Vietnam, the companies need right strategies to improve these six groups of factors. The paper contributes meaningful and helpful results to the development of Vietnam coffee industry.</span>

A Study on Impact on the Service Quality and Customer Satisfaction of SBI in Tirunelveli District

2019 ◽  
Vol 118 (10) ◽  
pp. 298-306
Author(s):  
Dr.(Smt)N.Kamala ◽  
Smt. S.Arumuga Selvi ◽  
M. Chandra ◽  
Smt.M. Maheswari
Keyword(s):  
Decision Making ◽  
Customer Satisfaction ◽  
Service Quality ◽  
Banking Sector ◽  
Decision Making Process ◽  
Business Survival ◽  
The Impact ◽  
The Relationship

Now days in the banking sector experts have to pay special attention to the service quality because it will decide the customer decision making process, but also it will make some changes in the customer satisfaction, purchase retention, loyalty and business survival. It may be shown in many researches. The main objective of this paper is to review the relationship between service quality and customer satisfaction. The research will help to understand the impact on the service quality and customer satisfaction.

The Application of Six Sigma in the Hospitality Industry

2015 ◽  
pp. 73-113
Author(s):  
Peter Alatsas ◽  
Ekaterina Vlad
Keyword(s):  
Decision Making ◽  
Customer Satisfaction ◽  
Performance Improvement ◽  
Customer Service ◽  
Six Sigma ◽  
Business Performance ◽  
Hospitality Industry ◽  
Project Work ◽  
Hotel Sector

This chapter reviews various methods or tools used in modern organizations to improve customer satisfaction and productivity against the relevant body of literature and the popular business performance improvement methodology called Six Sigma. Starwood Hotels and Resorts was the first company in the hotel sector to adopt this system organization-wide in January 2001. Six Sigma is a highly structured performance improvement methodology that is predominately based on project work. This study reveals how Six Sigma can assist managers to improve performance in three main areas: improve customer service, product quality, and the quality of decision making from improving organization-wide processes.

scholarly journals The Optimal Carbon Reduction and Return Strategies under Carbon Tax Policy

2018 ◽  
Vol 10 (7) ◽  
pp. 2471 ◽  
Author(s):  
Jia Wang ◽  
Xijia Huang
Keyword(s):  
Decision Making ◽  
Customer Satisfaction ◽  
Tax Policy ◽  
Carbon Tax ◽  
Residual Value ◽  
Green Products ◽  
Carbon Reduction ◽  
Satisfaction Rate ◽  
Online Sales

Recently, consumers have been increasingly shopping due to the development of e-commerce; thus, many traditional firms producing green products are entering e-commerce platforms to sell products for their survival. In the contexts of online sales and carbon tax policy, firms need to determine an optimal carbon reduction level and online return strategies. To address firms’ decision-making challenges, we consider a firm producing and selling its green products via an e-commerce platform. For optimal online return strategies, we find that if the residual value of the returned product is relatively small, the firm should not offer an online return service; otherwise, the firm should offer this service. Moreover, the results show that carbon tax policy is detrimental to the firm and consumers, while increasing the average customer satisfaction rate of the product benefits the firm and consumers. Interestingly, we find that the platform should reduce its referral fee as the unit carbon tax increases.

scholarly journals Analisis Preferensi dan Kepuasan Konsumen terhadap Beras di Kecamatan Mulyorejo Surabaya Jawa Timur (The Analysis of Preferences and Customer Satisfaction on Rice in Mulyorejo District, Surabaya, East Java)

1970 ◽  
Vol 1 (1) ◽  
pp. 42-53
Author(s):  
Rita Nurmalina ◽  
Endang Pudji Astuti
Keyword(s):  
Decision Making ◽  
Consumer Behavior ◽  
Social Class ◽  
Customer Satisfaction ◽  
Data Processing ◽  
Family Income ◽  
Descriptive Analysis ◽  
Consumer Preference ◽  
Social Classes ◽  
Rice Grain

Rice is a very important commodity. Rice plays an important role in food security, economic stability, and employment. Consumer behavior in rice consumption continues to grow. Improved incomes lead to increased demands on quality. Changes in demographic structures, such as level of education, lifestyle, technology, transportation, and communication, affect the customer preferences and satisfaction with the rice they consume. In line with efforts to increase productivity, the rice should be produced to meet consumer expectations which are constantly evolving.  This study aimed to identify the characteristics, analyze the decision-making process, preferences, and customer satisfaction, as well as making the right marketing mix recommendations based on the study of consumer behavior on three different social classes (lower class, middle, and upper). Convinience Sampling was used. The analytical tool used in this study was a descriptive analysis, Important & Performance Analysis (IPA) and the Customer Satisfaction Index (CSI).  Data processing with descriptive analysis showed some differences in the characteristics of responders and decision-making processes at all three social classes. The differences associated with educational level and family income levels, initial consideration of the purchase of rice, and where to purchase the rice.  CSI showed that the total satisfaction on all three social classes is entirely in the range “satisfied”. However, the higher the social class, the higher the satisfaction of the rice consumed. Data processing by IPA showed that the performance, which should be improved based on consumer preference and satisfaction, was a top-class ease of getting rice and seller services. The performance on middle-class consumers have to be improved in assessing durability of rice, grain uniformity, and broken. While the upscale consumer should improve performance in terms of price, flavor, broken, and clean rice.Keywords: consumption, quality, expectation, social class, sample, performance.

scholarly journals Predicting Customer’s Satisfaction (Dissatisfaction) Using Logistic Regression

2016 ◽  
Vol 1 (2) ◽  
pp. 77-88 ◽  
Author(s):  
Adarsh Anand ◽  
Gunjan Bansal
Keyword(s):  
Decision Making ◽  
Logistic Regression ◽  
Customer Satisfaction ◽  
Mobile Phone ◽  
Roc Curve ◽  
Operating Characteristic ◽  
Performance Indicator ◽  
Multivariate Techniques ◽  
Customer Expectations ◽  
Independent Variables

Customer satisfaction is a metric of how products and services offered by companies meet customer expectations. This performance indicator assists companies in managing and monitoring their business effectively. Firms thus need reliable and representative measure to know the customer satisfaction. In the present work, we provide a predictive model to identify customer’s satisfaction (dissatisfaction) with the firm’s offerings. For the analysis, “mobile phone” has been used as a product and 11 related decision making variables have been taken as independent variables. Due to the dichotomous (i.e. satisfaction/ dissatisfaction) nature of the dependent variable, a powerful tool among multivariate techniques i.e. Logistic Regression has been applied for the validation. Further, Receiver Operating Characteristic (ROC) curve has been plotted which displays the degree to which the prediction agrees with the data graphically. The analysis has been done on data collected from students of University of Delhi, Delhi.

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