scholarly journals The Factors That Affect The Satisfaction of Local Coffee Shop Customers in The 4.0 Industry Era

Agro Ekonomi ◽  
2021 ◽  
Vol 32 (2) ◽  
Author(s):  
Nanda Rusti ◽  
Irham Irham ◽  
Any Suryantini
Keyword(s):  
Structural Equation Modeling ◽  
Customer Satisfaction ◽  
Industry 4.0 ◽  
Structural Equation ◽  
Perceived Quality ◽  
Equation Modeling ◽  
Coffee Shop ◽  
Coffee Shops ◽  
Special Region

Customer satisfaction is the opinion of consumers, in the form of the performance of a product or service that meets their expectations. Generally, successful businesses highly care about customer satisfaction as profit. Therefore, this study aims to analyze the effects of: (1) perceived quality, (2) price, (3) industrial application 4.0, and (4) products innovation on customer satisfaction in the local coffee shop business in the Special Region of Yogyakarta. The data were collected using online questionnaires sent through direct message on instagram account of each customer who posted a photo with a tag or a hashtag from one of the 31 local coffee shops whilst they were enjoying a cup of coffee drink. All customers had the same opportunity to be sampled according to a representative proportion at each local coffee shop. The determination of the minimum sample used was 165 respondents. The samples analyzed were 173 respondents collected from 450 questionnaires completed by customers in which only 176 questionnaires were returned, and three questionnaires happened to be outliers that needed to be eliminated. The data were analyzed using the Structural Equation Modeling (SEM) provided in the AMOS application. The results indicated that customer satisfaction was positively influenced by perceived quality, industry 4.0 implementation, and products innovation, while price negatively affected customer satisfaction. It is highly recommended to maintain and improve perceived quality, industry 4.0 implementation, products innovation, and consider in determining extremely crucial prices for the local coffee shops to acquire customer satisfaction.

Customer Satisfaction: A Structural Equation Modeling Analysis

2013 ◽  
Vol 03 (03) ◽  
pp. 01-10
Author(s):  
Pardis mohajerani
Keyword(s):  
Structural Equation Modeling ◽  
Customer Satisfaction ◽  
Structural Equation ◽  
Hotel Industry ◽  
Negative Relationship ◽  
Perceived Value ◽  
Perceived Quality ◽  
Equation Modeling ◽  
Complaining Behavior ◽  
Strong Positive Relationship

The aim of this paper is to investigate the determinants and consequences of customer satisfaction in hotel industry in Iran. A Confirmatory Factor Analysis (CFA) and Structural Equation Modeling have been utilized with information provided by a survey conducted in Iran (Kish Island).Results indicate that perceived value has a significant impact on customer satisfaction in hotel industry. Moreover, there is an strong positive relationship between image and perceived quality, image and perceived value, and also perceived quality and Perceived value. Based on the Results, no direct relationship has been detected between perceived quality and customer satisfaction, and also between customer expectation and customer satisfaction in hotel industry. In addition, Results showed that increased customer satisfaction will lead to an increase in customer loyalty. However, there is no strong negative relationship between customer satisfaction and complaining behavior. Findings provide more evidence on important determinants and results of customer satisfaction. Moreover this study is among the first studies conducted in hotel industry in Iran-Kish Island.

scholarly journals PENGARUH REWARD ATTRACTIVENESS, KNOWLEDGE BENEFIT, REQUIRED EFFORT, GROUP BELONGINGNESS DAN DISCLOSURE COMFORT TERHADAP EXPERIENTIAL BENEFIT CUSTOMER SATISFACTION DAN CUSTOMER LOYALTY

MANAJERIAL ◽  
2019 ◽  
Vol 6 (01) ◽  
pp. 67
Author(s):  
Wenti Krisnawati
Keyword(s):  
Structural Equation Modeling ◽  
Customer Satisfaction ◽  
Customer Loyalty ◽  
Significant Influence ◽  
Structural Equation ◽  
Equation Modeling ◽  
Coffee Shop ◽  
Analysis Technique ◽  
Group Belongingness

Purpose from this study was to determine the effect of attractiveness reward on experiential benefit, knowledge benefit on experiential benefit, required effort on experiential benefits, group belongingness to customer satisfaction, disclosure closure to customer satisfaction, group belongingness to customer loyalty, disclosure comfort to customer loyalty, experiential benefits to customer satisfaction and customer satisfaction to customer loyalty. The population used in this study is all Excelso customers who have amember card coffee shop Excelso. The number of samples in this study were 178 respondents. The analysis technique used is Structural Equation Modeling (SEM) using the AMOS 16.0 program. The results showed a significant influence between variable reward attractiveness on experiential benefit, knowledge benefit on experiential benefit, required effort on experiential benefits, group belongingness to customer satisfaction, disclosure closure on customer satisfaction, experiential benefits for customer satisfaction, and customer satisfaction for customer loyalty. Whereas variables that have no effect between variables group belongingness to customer loyalty and disclosure comfort to customer loyalty due to loyalty are influenced by satisfaction. Customers will be loyal when they are satisfied with the products or services offered by the company.

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.

scholarly journals Pengaruh Bauran Pemasaran Jasa Terhadap Keputusan Pembelian Dan Kepuasan Pelanggan Kedai Kopi Kimteng di Pekanbaru

2020 ◽  
Vol 4 (1) ◽  
pp. 10-24
Author(s):  
Adhi Nurcahyo Achmad ◽  
Samsir Samsir ◽  
Yulia Efni
Keyword(s):  
Customer Satisfaction ◽  
Significant Influence ◽  
Structural Equation ◽  
Sampling Technique ◽  
Simple Random Sampling ◽  
Marketing Mix ◽  
Equation Modeling ◽  
Purchasing Decisions ◽  
Coffee Shop ◽  
Modeling Analysis

This study aims to see and determine the direct effect of the marketing mix on purchasing decisions and customer satisfaction. Research site at the Kimteng coffee shop Pekanbaru. The population in this study were all customers who made repeat purchases at the Kimteng coffee shop Pekanbaru. The sampling technique used was non-probability sampling using the simple random sampling method, because the sampling of members from the population was done randomly without paying attention to the strata in the population. Determining the number of samples 5 times the number of variable indicators as many as 30 are used. Thus, the number of samples to be studied in this study was 150 people. In this study, researchers will use SEM (Structural Equation Modeling) analysis. The results of this study indicate that there is a positive and significant influence between the marketing mix on purchasing decisions and there is a positive and significant influence between the marketing mix and purchasing decisions on customer satisfaction. Purchasing decisions are able to positively and significantly mediate between marketing strategies and customer satisfaction.

scholarly journals Pengaruh Perceived Quality Terhadap Customer Loyalty dengan Perceived Risk dan Customer Trust Sebagai Variabel Mediasi pada PT. XYZ

2020 ◽  
Vol 4 (3) ◽  
pp. 29
Author(s):  
Edrick Heriyanto ◽  
Eko Harry Susanto
Keyword(s):  
Structural Equation Modeling ◽  
Customer Loyalty ◽  
Indirect Effect ◽  
Perceived Risk ◽  
Structural Equation ◽  
Sampling Method ◽  
Perceived Quality ◽  
Equation Modeling ◽  
Independent Variable ◽  
Customer Trust

The purpose of this study is to examine the influence of perceived quality toward customer loyalty which is mediated by perceived risk and customer trust for PT. XYZ that engaged in chemistry. There are four variables perceived quality as the independent variable, customer loyalty as the dependent variable, and perceived risk and customer trust as mediating variable. The sample was determined by purposive sampling method, the questionnaire was well-collected and was used in data processing using the Structural Equation Modeling (SEM) method with Smart PLS 3.0 program. This analysis was conducted on 115 respondents as customer of PT. XYZ. Based on the result of the study, it was found that perceived quality, perceived risk, and customer trust have influence towards customer loyalty, perceived quality have influence towards perceived risk and customer trust, perceived quality had an indirect effect on customer loyalty via perceived risk and customer trust.

scholarly journals Methods and Rule-of-Thumbs in The Determination of Minimum Sample Size When Appling Structural Equation Modelling: A Review

2020 ◽  
Vol 15 ◽  
pp. 102-107
Author(s):  
Hunuwala Malawarage Suranjan Priyanath ◽  
Ranatunga RVSPK ◽  
Megama RGN
Keyword(s):  
Structural Equation Modeling ◽  
Sample Size ◽  
Structural Equation ◽  
Sample Size Determination ◽  
Equation Modeling ◽  
Minimum Sample Size ◽  
Research Project ◽  
Rules Of Thumb ◽  
Minimum Sample

Basic methods and techniques involved in the determination of minimum sample size at the use of Structural Equation Modeling (SEM) in a research project, is one of the crucial problems faced by researchers since there were some controversy among scholars regarding methods and rule-of-thumbs involved in the determination of minimum sample size when applying Structural Equation Modeling (SEM). Therefore, this paper attempts to make a review of the methods and rule-of-thumbs involved in the determination of sample size at the use of SEM in order to identify more suitable methods. The paper collected research articles related to the sample size determination for SEM and review the methods and rules-of-thumb employed by different scholars. The study found that a large number of methods and rules-of-thumb have been employed by different scholars. The paper evaluated the surface mechanism and rules-of-thumb of more than twelve previous methods that contained their own advantages and limitations. Finally, the study identified two methods that are more suitable in methodologically and technically which have identified by non-robust scholars who deeply addressed all the aspects of the techniques in the determination of minimum sample size for SEM analysis and thus, the prepare recommends these two methods to rectify the issue of the determination of minimum sample size when using SEM in a research project.

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