MACHINE LEARNING-STRUCTURAL EQUATION MODELING ALGORITHM ON ONLINE SHOPPING CUSTOMER SATISFACTION MEASUREMENT

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

Download Full-text

Examining the Influence of Store Environment in Hedonic and Utilitarian Shopping

Administrative Sciences ◽

10.3390/admsci11010006 ◽

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.

Download Full-text

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

International Journal of Wine Business Research ◽

10.1108/ijwbr-12-2018-0070 ◽

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.

Download Full-text

Peran Involvement Sebagai Variabel Pemoderasi Model Loyalitas Pelanggan

Jurnal Ekonomi Bisnis dan Kewirausahaan ◽

10.26418/jebik.v7i1.24826 ◽

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.

Download Full-text

PENGARUH FAKTOR INTERNAL DAN EKSTERNAL TERHADAP SIKAP DAN NIAT PEMBELIAN DARING

EKUITAS (Jurnal Ekonomi dan Keuangan) ◽

10.24034/j25485024.y2015.v19.i2.1764 ◽

2017 ◽

Vol 19 (2) ◽

pp. 192 ◽

Cited By ~ 1

Author(s):

Lorentia Shierly ◽

Sabrina Sihombing

Keyword(s):

Structural Equation Modeling ◽

Structural Equation ◽

Sampling Method ◽

Online Shopping ◽

Web Design ◽

External Factors ◽

Equation Modeling ◽

Online Data ◽

Internal Factors ◽

Main Factors

Online shopping has grown popularity over the years because of its convenient and can often save money for buyers. There are two main factors that can affect a person to do shopping online: internal factors and external factors. Previous research often focuses on one factor only, that is, internal or external factors in influencing online shopping. Therefore, this research attempts to integrate both internal (i.e., personal innovation and hedonic motivation) and external factors (i.e., web design and eWOM) in predicting attitude and intention to buy online. Data was collected by using questionnaires with non-probability sampling method. The number of respondents was 228 respondents. Data was then analyzed by Structural Equation Modeling (SEM). Results showed that four out of five hypotheses are supported. Specifically, the results showed that personal innovation is not a significant predictor of attitude toward online shopping. This study also provides research limitations and suggestions for further research.

Download Full-text

ANALISIS PENGARUH LAYANAN BELANJA ONLINE TERHADAP PERJALANAN BERBASIS RUMAH DAN TEMPAT AKTIVITAS DENGAN METODE SEM

JMTS: Jurnal Mitra Teknik Sipil ◽

10.24912/jmts.v3i4.8420 ◽

2020 ◽

Vol 3 (4) ◽

pp. 1017

Author(s):

James Salim ◽

Leksmono Suryo Putranto

Keyword(s):

Structural Equation Modeling ◽

Direct Effect ◽

Structural Equation ◽

Online Shopping ◽

Equation Modeling ◽

Shopping Centers ◽

Online System ◽

Shopping Trips ◽

Derived Demand

Transportation is an activity which moving a person or an object from one place to another place. Transportation is done not for desire, it is a derived demand for humans to do the activities for fulfiling their daily needs. Shopping is one of the activities that comply their daily needs. Nowdays, online shopping is a trend. Besides easy to do, online shopping can be done any where and any time because of its online system. Along with the growth of online shopping, a lot of people prefer online shopping rather than traditional shopping to shops, markets, shopping centers and other places. Thisthings could change number of people on doing shopping trips. Thisresearch aimsto find out what factors effects someone’s decision to shop online and find out wether online shopping has a direct effect on shopping trips done by people. Data for this reseach collected by quistionnaire. This research will be done with Structural Equation Modeling (SEM) Method. This research shows that experience and trust are strong factors on someone for making decision to shop online and shows that online shopping did not effect directly to people’s shopping trips.ABSTRAKTransportasi adalah kegiatan perpindahan tempat orang atau suatu benda dari satu tempat ke tempat lainnya. Transportasi dilakukan bukan karena keinginan, melainkan sebuah kebutuhan turunan karena manusia harus melakukan aktivitas untuk memenuhi kebutuhan mereka sehari-hari. Belanja adalah salah satu kegiatan yang dilakukan untuk memenuhi kebutuhan sehari-hari. Belanja online sendiri menjadi sangat trend saat ini. Belanja online selain mudah untuk dilakukan, bisa dilakukan kapan saja, dimana saja karena sistemnya yang bersifat online. Seiring dengan perkembangan belanja online, tidak sedikit orang yang lebih memilih melakukan belanja online dibandingkan melakukan belanja langsung ke toko, pasar, pusat perbelanjaan, dan tempat lainnya. Hal ini bisa jadi mempengaruhi jumlah orang yang melakukan perjalanan belanja. Penelitian ini dilakukan mengetahui faktor apa saja yang berperan dalam keputusan seseorang melakukan belanja online dan mengetahui apakah belanja online berpengaruh secara langsung terhadap perjalanan belanja yang dilakukan masyarakat. Data untuk penelitian didapatkan melalui kuesioner. Penelitian ini akan menggunakan Metode Structural Equation Modeling atau SEM. Dari hasil penelitian didapatkan bahwa pengalaman dan kepercayaan adalah dua faktor yang kuat dalam penentuan keputusan seseorang melakukan belanja online dan belanja online tidak mempengaruhi perjalanan belanja secara langsung

Download Full-text

COVID-19 Risk Factors, Economic Factors, and Epidemiological Factors nexus on Economic Impact: Machine Learning and Structural Equation Modelling Approaches

Journal of the Nigerian Society of Physical Sciences ◽

10.46481/jnsps.2021.173 ◽

2021 ◽

pp. 395-405

Author(s):

David Opeoluwa Oyewola ◽

Emmanuel Gbenga Dada ◽

Juliana Ngozi Ndunagu ◽

Terrang Abubakar Umar ◽

Akinwunmi S.A

Keyword(s):

Machine Learning ◽

Risk Factors ◽

Structural Equation Modeling ◽

Latent Variables ◽

Structural Equation ◽

Equation Modeling ◽

Support Vector ◽

Economic Factors ◽

Negative Effects ◽

The Impact

Since the declaration of COVID-19 as a global pandemic, it has been transmitted to more than 200 nations of the world. The harmful impact of the pandemic on the economy of nations is far greater than anything suffered in almost a century. The main objective of this paper is to apply Structural Equation Modeling (SEM) and Machine Learning (ML) to determine the relationships among COVID-19 risk factors, epidemiology factors and economic factors. Structural equation modeling is a statistical technique for calculating and evaluating the relationships of manifest and latent variables. It explores the causal relationship between variables and at the same time taking measurement error into account. Bagging (BAG), Boosting (BST), Support Vector Machine (SVM), Decision Tree (DT) and Random Forest (RF) Machine Learning techniques was applied to predict the impact of COVID-19 risk factors. Data from patients who came into contact with coronavirus disease were collected from Kaggle database between 23 January 2020 and 24 June 2020. Results indicate that COVID-19 risk factors have negative effects on epidemiology factors. It also has negative effects on economic factors.

Download Full-text