Factors Influencing Electronic Service Quality on Electronic Loyalty in Online Shopping Context: Data Analysis Approach

2020 ◽  
pp. 367-378
Author(s):  
Ahlam Al-Khayyal ◽  
Muhammad Alshurideh ◽  
Barween Al Kurdi ◽  
Said A. Salloum
Keyword(s):  
Data Analysis ◽  
Service Quality ◽  
Online Shopping ◽  
Analysis Approach ◽  
Electronic Service ◽  
Factors Influencing ◽  
Context Data

How Good is Your Shopping Agent? Users' Perception Regarding Shopping Agents' Service Quality

2010 ◽  
pp. 151-164
Author(s):  
Calin Gurau
Keyword(s):  
Data Analysis ◽  
Service Quality ◽  
Online Shopping ◽  
Primary Data ◽  
Personal Factors ◽  
Searching Strategy ◽  
Primary Data Analysis ◽  
Main Factors

The use of online shopping agents has increased dramatically in the last 10 years, as a result of e-commerce development. Despite the importance of these online applications, very few studies attempted to identify and analyse the main factors that influence the users’ perception regarding the service quality of online shopping agents, and consequently, the elements that determine the users’ choice of online shopping agents. The present study attempts to fill this literature gap, identifying on the basis of primary data analysis, the various circumstantial or personal factors that can determine the choice of a specific searching strategy and shopping agent.

scholarly journals E-Satisfaction as A Reflection of E-Marketing and E-Sequal in Influencing E-Loyalty on E-Commerce

2018 ◽  
Vol 7 (4.44) ◽  
pp. 94 ◽  
Author(s):  
Peri A. Manaf ◽  
Ivany Rachmawati ◽  
Marcella Witanto ◽  
Adityo Nugroho
Keyword(s):  
Data Analysis ◽  
Service Quality ◽  
Development Process ◽  
Online Shopping ◽  
Hypothesis Test ◽  
Analysis Data ◽  
Integrative Model ◽  
Primary Data ◽  
Central Java ◽  
Selection Of

Online shopping is becoming a trend in Indonesia. Seeing the trend m  any new e-commerce began to emerge. And the consumer will try to find out which marketplace can meet their expectations. The purpose of this study is to propose an integrative model of the e-loyalty development process and to test the model empirically and see how big the influence between e-marketing and e-service quality toward e-loyalty mediated by e-satisfaction. For this purpose, data was collected from a sample of 100 consumers in Java Island ie Banten, DKI Jakarta, DI Yogyakarta, West Java, Central Java, and East Java. The selection of samples was done by purposive sampling. The data used in this study is the primary data. SmartPLS has been used for data analysis. Data was analyzed to obtain hypothesis test. The study showed e-loyalty customers at E-Commerce’s website in Indonesia are influenced by e-satisfaction, where e-satisfaction is influenced by e-sequal and e-marketing. Moreover, the result also showed e-sequal affects e-loyalty more strongly than e-marketing with e-satisfaction as mediator.  

scholarly journals CREATING E-LOYALTY ON ONLINE SHOPPING TRANSACTION THROUGH E-SERVICE QUALITY AND E-TRUST

2018 ◽  
Vol 1 (1) ◽  
pp. 39-45
Author(s):  
Muh. Feroza A. ◽  
M Muhdiyanto ◽  
Diesyana Ajeng Pramesti
Keyword(s):  
Data Analysis ◽  
Service Quality ◽  
Path Analysis ◽  
Hypothesis Testing ◽  
Online Shopping ◽  
Sampling Technique ◽  
Central Java ◽  
Internet Users ◽  
The Relationship

The objective of this research is to determine the extent of e-service quality and e-trust influence thee-loyalty in online shopping by combining two research models. This research employs survey by usingpurposive sampling technique to 120 internet users in Magelang, Central Java. The respondents of the research are customer that ever doing transaction more than 2 times in the website. The data analysis was done using SPSS 21.00 and hypothesis testing was through Path Analysis. The research identifiesthat four hypotheses are supported that are the relationship between of e-service quality, e-trust toe-satisfaction and e-satisfaction, e-trust to e-loyalty are positive and significant and one hypothesis isnot supported that is the relationship between e-service quality to e-loyalty is positive but not significant.

scholarly journals Factors Influencing the Preference of Customers Towards Islamic Banking: Evidence from Malaysia

2020 ◽  
Vol 3 (1) ◽  
pp. 48-67
Author(s):  
Qosdan Dawami
Keyword(s):  
Data Analysis ◽  
Service Quality ◽  
Direct Relationship ◽  
Quantitative Approach ◽  
The Other ◽  
Islamic Banking ◽  
Islamic Banks ◽  
Customer Behaviour ◽  
Factors Influencing ◽  
Other Hand

The purpose of this research is to investigate the pivotal determinants influencing the consumer’s preference towards the products and services of Islamic banking, apart from reviewing previous studies that considered perceived religiosity has an intense relationship with the individual’s intention and attitude. Moreover, this study also examines the direct relationship between the preference of customers and the Service quality offered by Islamic banks. This study utilized quantitative approach through conducting a survey to 60 students of International Islamic University Malaysia from various departments. Correlation and regression will be applied for data analysis. The result of the study indicated that the Attitude and the Service quality offered by Islamic banks are the major determinants influencing the customers’ behaviour towards Islamic banking. On the other hand, the Image of the bank and the Religiosity were determining insignificantly to the intentions of customers to choose its products and services.Keywords – Islamic banking, Religiosity, Customer behaviour and Shariah Compliance.

scholarly journals Analysis The Quality Of Service And Effectiveness E-Commerce Auy Publisher Using The Method E-Servqual

2019 ◽  
Vol 3 (1) ◽  
pp. 25
Author(s):  
Atik Budi Paryanti ◽  
Sumarsid Sumarsid
Keyword(s):  
Quality Of Service ◽  
Data Analysis ◽  
Service Quality ◽  
Test Validity ◽  
Sampling Technique ◽  
Quality Level ◽  
Validity And Reliability ◽  
Electronic Service ◽  
Service Attribute

This research aims to analyze the quality of the service and the effectiveness of Ecommerce. This research uses a quantitative approach. Data analysis using the pras test test validity and reliability as well as a test of normality. At this stage of the analysis of data with calculations e-servqual will get the service quality level e-Commerce and the calculation of e-Commerce It can also analyze the priority of each service attribute that needs to be fixed or not. The questionnaire will be filled is given to respondents with Nonprobability Sampling technique. This study use 46 participant. The Total value of Electronic Service Quality (TESQ) obtained from the results of the calculation of the gap between perception and expectation is positive, the results obtained are 0226. This means that the customer’s expectations of the service e-Commerce in larger AUY Publisher from the Ministry obtained this time, so that the service provided is still not satisfying customers and has not been effective (X2 ).

scholarly journals Cotton.Go’s Electronic Service Quality Improvement Using Importance Performance Competitor Analysis Approach

2021 ◽  
Vol 5 (01) ◽  
pp. 35-45
Author(s):  
Tara Aldiera ◽  
Sari Wulandari ◽  
Ima Normalia Kusmayanti
Keyword(s):  
Quality Improvement ◽  
Service Quality ◽  
Research Result ◽  
Web Design ◽  
Analysis Approach ◽  
Electronic Service ◽  
Design Reliability ◽  
Competitor Analysis ◽  
Need To Evaluate ◽  
Urgent Action

The number of competitors that have sprung up in the field of fashion especially in men's clothing, has caused Cotton.Go need to evaluate its e-commerce services to compete with them. Therefore, this research was conducted to evaluate the attributes of Cotton.Go’s e-commerce services by integrating the dimensions of Electronic Service Quality and Importance Performance Competitor Analysis (IPCA) method. According to research result, seven attributes of services in Cotton.Go’s e-commerce is needed for further research, which are web design, reliability, efficiency, responsiveness, security, flexibility, and fulfillment. This research produced that all of the attributes need urgent action to improve by looking at the negative performance differences value with its competitor. All attributes that need to be improved indicated that the performances are considered to be lower compared to the competitor and need immediate action to improve.

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