EQUIVALENCE OF GROUPS WITH LATENT VARIABLES: AN APPLICATION OF STRUCTURAL EQUATION MODELING IN THE EVALUATION OF THE INFLUENCE OF GENDER ON CUSTOMER SATISFACTION IN MOBILE COMMUNICATION.

2013 ◽  
Author(s):  
Gutembergue Soares da Silva ◽  
André Pedro Fernandes Neto ◽  
Teófilo Teófilo Mattozo ◽  
José Alfredo Ferreira Costa
Keyword(s):  
Structural Equation Modeling ◽  
Customer Satisfaction ◽  
Mobile Communication ◽  
Latent Variables ◽  
Structural Equation ◽  
Equation Modeling

scholarly journals Estimasi Parameter Structural Equation Modeling Terhadap Kepuasan Pelanggan Layanan Telekomunikasi Menggunakan Metode Maximum Likelihood

2020 ◽  
Vol 1 (1) ◽  
pp. 48
Author(s):  
Dwicahyo Ramadhan Priyatna ◽  
Raupong Raupong ◽  
La Podje Talangko
Keyword(s):  
Structural Equation Modeling ◽  
Maximum Likelihood ◽  
Customer Satisfaction ◽  
Natural Science ◽  
Latent Variables ◽  
Structural Equation ◽  
Sampling Technique ◽  
Likelihood Method ◽  
Equation Modeling ◽  
Students Satisfaction

Structural Equation Modeling is a statistical technique that is able to analyze the pattern of simultan linear relationships between indicator variables and latent variables. In this study using structural equation modeling to analyze the relationship between perceived quality, perceived value, perceived bestscore, and customer satisfaction. The purpose of this study is to obtain the result parameter model estimation of structural equation modeling using maximum likelihood method and to obtain the level of students satisfaction from faculty of Mathematics and Natural Science Hasanuddin University toward Tri operator. Data collected by distributing questionnaire. Collecting sample in this study using Proporsional Random Sampling technique. To measure the level of students satisfaction from faculty of Mathematics and Natural Science Hasanuddin University toward Tri operator, the model chosen is the model used to measure Indonesian Customer Satisfaction Indeks. From the result of this study obtained in the amount of 92,04% with very satisfied criteria level of students satisfaction from faculty of Mathematics and Natural Science Hasanuddin University toward Tri operator with very satisfied criteria.

scholarly journals Analysis of Halal Certification Renewal Service Quality and Their Effect on the Customer’s Satisfaction and Loyalty in Yogyakarta (Case Study in Meatball Stall)

2021 ◽  
pp. 372-383
Author(s):  
Jumeri Jumeri ◽  
Khosyani ◽  
Falah M.A.F
Keyword(s):  
Structural Equation Modeling ◽  
Customer Satisfaction ◽  
Service Quality ◽  
Customer Loyalty ◽  
Latent Variables ◽  
Structural Equation ◽  
Equation Modeling ◽  
Satisfaction Index

The society awareness in consuming halal, safe, and healthy foodstuff within these past few years kept on increasing. This was closely related to responsible food manufacturers which produced sustain halal foods, as evidenced by ownership halal certification. In order to increase the satisfaction of food producers and to maintain their commitment to extend the halal certificates, the quality of halal authority service should always be enhanced. This study aims to identify the Customer Satisfaction Index (CSI) value, to determine the influence of halal label and product attributes toward customer’s satisfaction and loyalty of meatball stalls in Yogyakarta, and to identify the influence of halal label toward selling volume on certified meatball stalls. The instruments used were questionnaires containing 21 quality attributes of halal certificate renewal service. Analyses were performed using Structural Equation Modeling (SEM). The model was composed of seven latent variables: halal certification, brand, price, taste, service, customer satisfaction and customer loyalty. Result of the research showed that taste and halal certification have significant effect on the customer’s satisfaction and loyalty of certified meatball stalls. Halal certification have affected the certified meatball stalls in Yogyakarta by increasing the selling volume of 25-37.5%.

Meta-Accuracy and Perceived Reciprocity From the Perception-Meta-Perception Social Relations Model

2019 ◽  
Vol 50 (1) ◽  
pp. 24-37
Author(s):  
Ben Porter ◽  
Camilla S. Øverup ◽  
Julie A. Brunson ◽  
Paras D. Mehta
Keyword(s):  
Structural Equation Modeling ◽  
Social Relations ◽  
Latent Variables ◽  
Structural Equation ◽  
Multilevel Structural Equation Modeling ◽  
Equation Modeling ◽  
Complete Understanding ◽  
Social Relations Model ◽  
Flexible Framework ◽  
Multilevel Structural Equation

Abstract. Meta-accuracy and perceptions of reciprocity can be measured by covariances between latent variables in two social relations models examining perception and meta-perception. We propose a single unified model called the Perception-Meta-Perception Social Relations Model (PM-SRM). This model simultaneously estimates all possible parameters to provide a more complete understanding of the relationships between perception and meta-perception. We describe the components of the PM-SRM and present two pedagogical examples with code, openly available on https://osf.io/4ag5m . Using a new package in R (xxM), we estimated the model using multilevel structural equation modeling which provides an approachable and flexible framework for evaluating the PM-SRM. Further, we discuss possible expansions to the PM-SRM which can explore novel and exciting hypotheses.

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.

Building a Model of Family Caregiving for Children with Emotional Disorders

1997 ◽  
Vol 5 (3) ◽  
pp. 138-148 ◽  
Author(s):  
Thomas P. Mcdonald ◽  
Thomas K. Gregoire ◽  
John Poertner ◽  
Theresa J. Early
Keyword(s):  
Structural Equation Modeling ◽  
Emotional Disorders ◽  
Problem Behaviors ◽  
Family Caregiving ◽  
Latent Variables ◽  
Structural Equation ◽  
Empirical Literature ◽  
Equation Modeling ◽  
Special Challenge ◽  
And Coping

In this article we describe the results of an ongoing effort to better understand the caregiving process in families of children with severe emotional problems. We make two assumptions. First, we assume that these families are essentially like other families but are faced with a special challenge in raising and caring for their special children while at the same time performing the multiple tasks and demands faced by all families. Second, we assume that public policy and programs must be supportive of the care of these children in their own homes and communities whenever possible. The purpose of this article is to present a model of family caregiving that draws broadly from available theory and empirical literature in multiple fields and to subject this model to empirical testing. We use structural equation modeling with latent variables to estimate an empirical model based on the theoretical model. Results of the model testing point to the importance of the child's external problem behaviors and the family's socioeconomic status and coping strategies as determinants of caregiver stress. Other findings highlight difficulties in measuring and modeling the complex mediating process, which includes formal and informal supports, perceptions, and coping behaviors. The use of structural equation modeling can benefit our efforts to support families by making explicit our theories about the important dimensions of this process and the relationship between these dimensions, which can then be subjected to measurement and validation.

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.

scholarly journals Structural Equation Modeling for the Effect of Main Factors on Abortion Issue

2019 ◽  
Vol 7 (1) ◽  
pp. 1-13
Author(s):  
Aras Jalal Mhamad ◽  
Renas Abubaker Ahmed
Keyword(s):  
Structural Equation Modeling ◽  
Latent Variables ◽  
Latent Variable ◽  
Structural Equation ◽  
Close Contact ◽  
Maternity Hospital ◽  
Equation Modeling ◽  
Research Model ◽  
Statistical Tools ◽  
Main Factors

       Based on medical exchange and medical information processing theories with statistical tools, our study proposes and tests a research model that investigates main factors behind abortion issue. Data were collected from the survey of Maternity hospital in Sulaimani, Kurdistan-Iraq. Structural Equation Modelling (SEM) is a powerful technique as it estimates the causal relationship between more than one dependent variable and many independent variables, which is ability to incorporate quantitative and qualitative data, and it shows how all latent variables are related to each other. The dependent latent variable in SEM which have one-way arrows pointing to them is called endogenous variable while others are exogenous variables. The structural equation modeling results reveal is underlying mechanism through which statistical tools, as relationship between factors; previous disease information, food and drug information, patient address, mother’s information, abortion information, which are caused abortion problem. Simply stated, the empirical data support the study hypothesis and the research model we have proposed is viable. The data of the study were obtained from a survey of Maternity hospital in Sulaimani, Kurdistan-Iraq, which is in close contact with patients for long periods, and it is number one area for pregnant women to obtain information about the abortion issue. The results shows arrangement about factors effectiveness as mentioned at section five of the study. This gives the conclusion that abortion problem must be more concern than the other pregnancy problem.

scholarly journals MODEL PERSAMAAN STRUKTURAL UNTUK MENGETAHUI PERSEPSI KONSUMEN TERHADAP BUAH IMPOR

2020 ◽  
Vol 9 (3) ◽  
pp. 149
Author(s):  
I KADEK TEGUH PRADANA ◽  
NI KETUT TARI TASTRAWATI ◽  
I PUTU EKA NILA KENCANA
Keyword(s):  
Structural Equation Modeling ◽  
Latent Variables ◽  
Structural Equation ◽  
Sem Analysis ◽  
Consumer Perception ◽  
Equation Modeling ◽  
Consumer Knowledge

This research is aimed to determine the factors that significantly influence consumer perception in buying imported fruits using structural equation modeling (SEM) analysis. The study use 164 data obtained from questionnaire, which respondents were aged 18 years old or above, from Gianyar Regency, had bought and had felt imported fruits. The study use 4 latent variables (perception, product, personal, culture) with 19 measured variables. The results showed that consumer knowledge about imported fruits (product) and culture about the use of imported fruits in traditional ceremonies (culture) were significantly influence consumer perception about consumption of imported fruit (perception).

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