Determinants of Customer Satisfaction on Retail Banks in New Zealand: An Empirical Analysis Using Structural Equation Modeling

2014 ◽  
Vol 7 (1) ◽  
pp. 63-82 ◽  
Author(s):  
Moha Abdullah ◽  
Noor Manaf ◽  
Muhammad-Bashir Yusuf ◽  
Kamrul Ahsan ◽  
S. Azam
Keyword(s):  
Structural Equation Modeling ◽  
New Zealand ◽  
Customer Satisfaction ◽  
Empirical Analysis ◽  
Structural Equation ◽  
Equation Modeling ◽  
Retail Banks

FEATURE,NILAI, KEPUASAN DAN LOYALITAS PELANGAN

2017 ◽  
Vol 2 (1) ◽  
pp. 45-52
Author(s):  
Iha Haryani Hatta
Keyword(s):  
Structural Equation Modeling ◽  
Customer Satisfaction ◽  
Customer Loyalty ◽  
Significant Influence ◽  
Customer Value ◽  
Structural Equation ◽  
Equation Modeling ◽  
Relationship Of ◽  
The Relationship ◽  
Customer Satisfaction And Loyalty

The aim of this study was to determine the relationship of the features of the value, satisfaction, and customer loyalty; the effect on the value of customer satisfaction and loyalty; influence of satisfaction on customer loyalty. A total of 200 merchant PT. BANK XYZ as respondents was selected randomly. Analyses were performed using structural equation modeling (SEM). The analysis showed that the feature has a significant influence on customer value, but not for customer satisfaction and loyalty. The values has a significant influence on satisfaction, but not on customer loyalty. Satisfaction has a significant influence on customer loyalty. Discussion and conclusions described in the article. Keywords: features of the value, satisfaction, customer loyalty

scholarly journals Examining the Influence of Store Environment in Hedonic and Utilitarian Shopping

2021 ◽  
Vol 11 (1) ◽  
pp. 6
Author(s):  
Cristina Calvo-Porral ◽  
Jean-Pierre Lévy-Mangin
Keyword(s):  
Structural Equation Modeling ◽  
Customer Satisfaction ◽  
Structural Equation ◽  
Equation Modeling ◽  
Environmental Cues ◽  
Store Choice ◽  
Store Attributes ◽  
Store Environment ◽  
Hedonic Shopping ◽  
Atmospheric Variables

Much of the literature on the attractiveness and pleasantness of retail stores has focused on the critical influence of store atmosphere or ambient attributes, which influence customer satisfaction and store choice. However, little is known about the environmental cues that influence customers’ satisfaction in different shopping contexts. In this context, the present research aims to answer the following questions: “Are the store atmospheric variables equally relevant in hedonic and utilitarian shopping?”; and further: “Does the influence of store environment on customer satisfaction vary depending on the type of shopping?”. For this purpose an empirical research is developed through PLS Structural Equation Modeling (PLS-SEM) based on data obtained from hedonic (n = 210) and utilitarian (n = 267) shopping contexts. Results indicate that customers perceive differently store atmospherics in utilitarian and in hedonic shopping. More precisely, findings report that customer satisfaction is driven by internal ambient and merchandise layout in hedonic shopping contexts; while the external ambient and the merchandise layout are major atmospheric cues in utilitarian shopping. Interestingly, store crowding does not influence customers’ satisfaction. This study provides a deeper understanding into the specific store attributes that influence customer satisfaction, which could be used by retailers to differentiate themselves from competitors.

Comparing the service experience of satisfied and non-satisfied customers in the context of wine tasting rooms using the SERVQUAL model

2019 ◽  
Vol 32 (2) ◽  
pp. 301-324
Author(s):  
Matti Haverila ◽  
Kai Haverila ◽  
Mehak Arora
Keyword(s):  
Structural Equation Modeling ◽  
Customer Satisfaction ◽  
Structural Equation ◽  
Design Methodology ◽  
Equation Modeling ◽  
Value For Money ◽  
Service Experience ◽  
Content Type ◽  
Survey Results ◽  
Repurchase Intent

Purpose The purpose of this study is to compare satisfied and non-satisfied customers in the context of wine tasting rooms using the SERVQUAL model and to examine the relationships in the model in terms of service experience to better understand customer needs. Design/methodology/approach The data used in this study were derived from a survey conducted among wineries in British Columbia, Canada. Analysis of survey results using the partial least squares structural equation modeling was undertaken. Sample size was 402. Findings The findings show that the SERVQUAL constructs that had the most impact on customer satisfaction and dissatisfaction were tangibility and assurance. Somewhat surprisingly, the perceived value for money construct was not significantly related to customer satisfaction but was significantly related to repurchase intent. Furthermore, all SERVQUAL constructs, except the reliability construct, were significantly related to customer satisfaction. Originality/value This study provides an overview of how wineries can improve their services to increase the number of satisfied customers.

scholarly journals Peran Involvement Sebagai Variabel Pemoderasi Model Loyalitas Pelanggan

2018 ◽  
Vol 7 (1) ◽  
pp. 33
Author(s):  
Budi Setyanta
Keyword(s):  
Structural Equation Modeling ◽  
Data Analysis ◽  
Customer Satisfaction ◽  
Customer Loyalty ◽  
Structural Equation ◽  
Equation Modeling ◽  
Survey Method ◽  
Customer Involvement ◽  
Perceived Price

This research aims to identify the role of involvement as a moderating variable in the model of customer loyality. The population in this study is the Xiaomi smartphone users in Yogyakarta. Data is collected through survey method that is guided by questionnaire. The data samples are 200 respondents to eligible the data analysis by structural equation modeling. The results indicate that the involvement moderates the effect of perceived quality, perceived price and after-sales service towards customer satisfaction.. Besides, the result is the involvement moderates the effect of customer satisfaction on customer loyalty. The results are used to develop strategies to effectively increase customer loyalty by designing a stimulus to increase customer loyalty considering the level of customer involvement.

Service quality and customer satisfaction in Ghanaian retail banks: the moderating role of price

2018 ◽  
Vol 36 (1) ◽  
pp. 68-88 ◽  
Author(s):  
Bedman Narteh
Keyword(s):  
Customer Satisfaction ◽  
Service Quality ◽  
Structural Equation ◽  
Survey Methodology ◽  
Equation Modeling ◽  
Content Type ◽  
Bank Managers ◽  
Quality Dimensions ◽  
Service Quality Dimensions ◽  
Retail Banks

Purpose Various models and scales exist in the literature to measure retail bank service quality without any attempt at integrating them and the moderators have often been under explored. The purpose of this paper is to integrate the SERVQUAL and BSQ models and moderated the resulting scale with price in order to examine service quality and customer satisfaction with retail bank services in Ghana. Design/methodology/approach The study is quantitative and the survey methodology was used to collect data from 560 retail bank customers. The result was analyzed through structural equation modeling. Findings The study provides an expanded model for measuring retail bank service quality as seven of the eight latent constructs emerged as service quality dimensions when moderated with price. It is significant to also note that five of the constructs – tangibles, reliability, assurance, empathy and price – from the direct relationship emerged as the dimensions of retail bank service quality that positively and significantly predicted customer satisfaction. Practical implications The study provides insight into customer behavior with the quality of retail bank services in Ghana. The resulting broader dimensions provide an integrated and expanded model as well as pointers to bank managers on service quality and customer satisfaction cues to enable them attract, serve and retain customers. Originality/value The study is the first of its kind to integrate two of the popular models to measure retail bank service quality and to use price as a moderator of this relationship. The resulting scale, which comprised of variables from the two models, provides support for the approach used in the current study.

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