scholarly journals Effects of Apparel Product Attributes on Customer Satisfaction, Trust, and Loyalty in Online Stores

2008 ◽  
Vol 32 (8) ◽  
pp. 1299-1308 ◽  
Author(s):  
Eun-Joo Park
Keyword(s):  
Customer Satisfaction ◽  
Product Attributes ◽  
Online Stores ◽  
Apparel Product

scholarly journals Investigating Influence of Trust on Repurchasing by Mediating Role of Customer Satisfaction in Online Stores

2016 ◽  
Vol 10 (6) ◽  
pp. 126
Author(s):  
Abolfazl Akhondi ◽  
Azar Kafashpor
Keyword(s):  
Customer Satisfaction ◽  
Significant Influence ◽  
Direct Influence ◽  
Factors Affecting ◽  
Mediating Role ◽  
Cronbach's Alpha ◽  
Indirect Influence ◽  
Online Stores ◽  
Development Center

Analyzing and investigating factors affecting trust and satisfaction creation and providing condition for creating these factors by online stores help them to perceive customers’ needs and lead to increasing loyalty level, intention for repurchasing and improving profitability level. Therefore, this paper investigates influence of trust on repurchasing by mediating role of customer satisfaction. Population of this paper were customers of online stores which have 2-star electronic trust symbol on the base of E-trade development center (Note 1) ranking and had shopping more than once. Data were gathered from 267 samples of customers by availability method and questionnaire tool and its reliability was confirmed by Cronbach's alpha with 82%. Considering analyzing data by SEM on LIZERAL software, findings show that trust has positive and significant influence on repurchasing and indirect influence of trust on repurchasing by mediating role of customers satisfaction is more than its direct influence which confirms mediating role of customers’ satisfaction.

scholarly journals THE EFFECT OF BRAND IMAGE AND PRODUCT ATTRIBUTES ON CUSTOMER SATISFACTION AND CUSTOMER LOYALTY

2018 ◽  
Vol 16 (3) ◽  
pp. 457-466
Author(s):  
Erik Wahyu Indarto ◽  
◽  
Imam Suroso ◽  
Sudaryanto Sudaryanto ◽  
Nurul Qomariah ◽  
...  
Keyword(s):  
Customer Satisfaction ◽  
Customer Loyalty ◽  
Brand Image ◽  
Product Attributes

A Mixed Logit Choice Modeling Approach Using Customer Satisfaction Surveys to Support Engineering Design

2009 ◽  
Author(s):  
Lin He ◽  
Christopher Hoyle ◽  
Wei Chen
Keyword(s):  
Customer Satisfaction ◽  
Engineering Design ◽  
Survey Data ◽  
Mixed Logit ◽  
Choice Modeling ◽  
Satisfaction Survey ◽  
Demand Model ◽  
Product Attributes ◽  
Subjective Measures ◽  
Customer Satisfaction Survey

Choice modeling is critical for assessing customer preferences as a function of product design attributes and customer profile information. Previous works have focused upon the use of survey data in which respondents are presented with a set of simulated product options from which they make a choice. However, such data does not represent real purchase behavior and these surveys require significant time and additional cost to administer. For these reasons, an approach to estimate a choice model using widely available customer satisfaction survey data for actual purchases is developed. Through a close examination of customer satisfaction survey data, several key characteristics are identified, including the lack of defined choice sets and missing choice attributes, the use of subjective measures such as ratings by customers to describe product attributes, multiple collinearity among many of the product attributes, and potentially insufficient attribute variation in the product designs evaluated by the respondents in the survey. A mixed logit based choice modeling procedure is developed in this paper to incorporate the use of both survey ratings as subjective measures and engineering attributes as quantitative measures in the model utility function. In order to accurately reflect choice behavior in actual market conditions, heterogeneity in customer preference is explicitly considered in the demand model. A case study using the Vehicle Quality Survey data acquired from J.D. Power and Associates demonstrates many of the key features of the proposed approach. The estimation results show the mixed logit model to be successful in modeling customer choices at the individual level, demonstrating the potential of being integrated with engineering models for engineering design.

scholarly journals Assessing Customer Satisfaction And Acceptance On Perishable Goods In The Telepresent Environments

2010 ◽  
Vol 8 (9) ◽  
Author(s):  
Yoon C. Cho
Keyword(s):  
Customer Satisfaction ◽  
Statistical Analyses ◽  
Online Environment ◽  
Product Attributes ◽  
Home Shopping ◽  
Perishable Goods ◽  
Willingness To Adopt ◽  
Willingness To Purchase ◽  
Factor Regression ◽  
The Impact

Customer satisfaction and willingness to purchase a product in the telepresent environment varies based on how attributes of the products are easily determined. Considering the impact of the telepresent, this study explored factors that affect customer satisfaction and willingness to adopt perishable goods. This study also considered customer satisfaction and willingness to purchase products based on their previous experiences with online or other interactive home shopping wherein they encountered limitations in delivery of certain features or product attributes. The purpose of this study is to examine factors that affect customer satisfaction and willingness to purchase perishable goods in the online environment and how experiences with sensory goods (besides perishable goods) from online and other interactive home shopping channels affect satisfaction and willingness to purchase perishable goods. Surveys were conducted and statistical analyses, such as factor, regression, ANOVA, and ANCOVA, were applied to investigate the findings. Further, this study provides managerial and theoretical implications and offers suggestions for e-businesses.

scholarly journals Measuring Internet Retail Service Quality Using Confirmatory Factor Analysis

2021 ◽  
Vol 23 (2) ◽  
Author(s):  
Jyoti Kumari ◽  
Keyword(s):  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Customer Satisfaction ◽  
Service Quality ◽  
Online Marketing ◽  
Early Years ◽  
Retail Service ◽  
Confirmatory Factor ◽  
Internet Retail ◽  
Online Stores

In the early years of online retailing, having an online presence and low prices were believed to be key drivers of success. More recently, electronic service quality has become essential as an online marketing strategy. Online stores provide higher service quality to create online customer loyalty, improve customer satisfaction and keep a lasting competitive advantage. Despite its recognized significance, there are few comprehensive empirical researches that analyze the quality of Internet retail services. Therefore, there is always a scope of conducting study on the development of e-service quality scales. This paper demonstrates the development of a new scale having new measures for measuring customer satisfaction and patronage intention in e-retailing. For the purpose, Confirmatory factor Analysis was used using AMOS 16.After analysis, the measures like website design, fulfillment, personalization, customer service and ratings & reviews are identified the crucial measures for determining the satisfaction level and patronage intentions of online customers. At the end of this paper, limitations and future scope of the study was given.

scholarly journals SIKAP DAN KEPUASAN KONSUMEN RUMAH MAKAN “XXX” LAMONGAN DI BANDAR LAMPUNG

2020 ◽  
Vol 8 (4) ◽  
pp. 712
Author(s):  
Rinty Azaria ◽  
Sudarma Widjaya ◽  
Maya Riantini
Keyword(s):  
Performance Analysis ◽  
Data Collection ◽  
Customer Satisfaction ◽  
Sampling Method ◽  
Satisfaction Level ◽  
Case Study Method ◽  
Product Attributes ◽  
Satisfaction Index ◽  
Fishbein Model

This study aims to explore the consumers’ attitudes and satisfaction toward restaurant. This research is conducted at "XXX" Lamongan Restaurant in Bandar Lampung. Data collection was carried out in January-February 2019 by the case study method employing the number of respondents of 60 people who were selected by nonprobability sampling method. The data were analyzed using Multiatribut Fishbein Model, Customer Satisfaction Index and Importance Performance Analysis. The results of this research showed that food taste has the highest score of consumers attitude toward restaurant. The satisfaction level of the restaurant has the value of 83.73%, included to the very satisfied category. The restaurant has been implementing the product attributes that were suitable with consumers’ wishes.Key words : consumer, restaurant, satisfaction

scholarly journals KEPUASAN DAN LOYALITAS KONSUMEN PADA ONLINE MARKET DI INDONESIA

2009 ◽  
Vol 2 (2) ◽  
pp. 37
Author(s):  
F. Alia Humairah ◽  
Glory Glory
Keyword(s):  
Customer Satisfaction ◽  
Customer Loyalty ◽  
Online Shopping ◽  
Positive Influence ◽  
The Other ◽  
Research Activity ◽  
Online Stores ◽  
The Relationship ◽  
Customer Satisfaction And Loyalty

<p>The goal of this research activity is to investigate things that will improve consumer • satifaction and loyalty of online stores in Indonesia. Researchers can take advantage of the result obtained and then inform it to companies so they know what things need to be improved to maintain their customers. The findings in this study indicate that there is a positive influence of a) adaptation (adaptation), (b) interaction (interactivity), (c) maintenance (nurturing), (d) commitment (commitment), (e) network (network), (f) diversity (assortment), (g) the ease of transaction (transaction ease), and (h) the <br />agreement of usaage (engagement) towards customer satisfaction, there is a positive <br />influence customer satisfaction to customer loyalty, there is a positive influence of Inertia towards the relationship between customer satisfaction and customer loyalty, and there is a positive influence od Trust towards the relationship between customer satisfaction to customer loyalty. The result of this research has implications for the business online which are to increase customers satisfaction and loyalty and to scholars who want to develop the theory. Further research are expected to use global online shopping as a comparison and adding the other variables that also affect customer satisfaction and loyalty in the online market.<br />keyword: Customer Satisfaction, Loyalty, and Online Market</p>

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