scholarly journals Factors of Service Quality and Service-Recovery Quality of Online Retailers

2019 ◽  
Vol 8 (11S) ◽  
pp. 356-361
Keyword(s):  
Factor Analysis ◽  
Service Quality ◽  
Exploratory Factor Analysis ◽  
Online Shopping ◽  
Service Recovery ◽  
Extensive Literature ◽  
Online Retail ◽  
Online Retailers ◽  
Retail Service

The purpose of this research is to explore factors of ‘service quality’ and ‘service-recovery quality’ of online retailers in India; and to suggests measurement constructs for ‘service quality’ and ‘service-recovery quality’ from customer’s perspective. Exploratory factor analysis (EFA) of customer responses of a survey of consumer attitudes is used for data analysis. In the first stage, concepts and constructs of the ‘service quality’ and ‘service-recovery quality’ for online retailers are identified through extensive literature review. In the second stage, survey of attitude measurement questionnaire was administered to customers, —who have experienced online shopping over a period of time. A 7-point Likert scale is used for capturing customer responses based on quota sampling technique. EFA is conducted using oblique rotation considering factor dependence. Factors thus identified are further studied for literature support, analyzed for validity and reliability. Exploratory factor analysis using principal component method, identified five factor structure of ‘service quality’ of online retailers as; e-reliability, e-servicescape, e-technology dissatisfiers, e-security and e-delivery. Research also explored factors of ‘service-recovery quality’ of online retailers as; esupport and e-compensation. The proposed factors of ‘service quality’ and ‘service recovery quality’ of online retailers can be useful in improving service product offers. The designed research constructs can be operationalized for better online shopping consumer experience. Considering retail customer channel shift from offline retail shops to online retail, this research is a latest consumer perspective towards online buying. Identified factors is useful inputs to design online retail service quality by improving retail operations.

Online Retail Service Quality: Scale Development and Validation

2021 ◽  
pp. 097226292110112
Author(s):  
Biranchi Narayan Swar ◽  
Rajesh Panda
Keyword(s):  
Service Quality ◽  
Technology Acceptance ◽  
Ease Of Use ◽  
Measurement Scale ◽  
Future Research ◽  
Market Place ◽  
Online Retail ◽  
Online Retailers ◽  
Retail Service ◽  
Retail Service Quality

The growth of online retailing has created an opportunity to create a scale specifically for online retail services. At the same time, the increasing rate of internet penetration in India coupled with electronic banking and wallets has formed new market place for many online retailers. In this context, to gain competitive advantage, the online retailers should provide better service quality. Thus, the present research tries to know the various constructs of retail service quality (RSQ) in online format and develop a measurement scale. The study has borrowed the constructs from ‘Retail Service Quality’ (RSQ) and ‘Technology Acceptance Model’ (TAM). For this purpose, we collected data from 600 respondents. The scale has been confirmed and validated by using CFA. The study confirmed that online RSQ (ORSQ) scale consists of four constructs: ‘Ease of Use’, ‘Problem Solving’, ‘Policy’ and ‘Reliability’ with 18 variables. The article has concluded and validated a scale for ORSQ which can help the online retailers to design their service offering. The implications of the ORSQ scale for practitioners, as well as for future research, are discussed in this article.

scholarly journals Satisfaction of tourists to Hoi An ancient town, Vietnam

2020 ◽  
Author(s):  
Ha Nam Khanh Giao ◽  
Dinh Kiem ◽  
Le Thai Son ◽  
Truong Quoc Dung
Keyword(s):  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Service Quality ◽  
Exploratory Factor Analysis ◽  
Structural Equation Modelling ◽  
Structural Equation ◽  
Tourist Satisfaction ◽  
Equation Modelling ◽  
Confirmatory Factor

This research uses structural equation modelling (SEM) to test the correlation between service quality of the tourism destination and the satisfaction of the tourists who have visited Hội An ancient town. The research also uses the methods of Cronbach’s Alpha, exploratory factor analysis (EFA), confirmatory factor analysis (CFA) and SEM. The result shows that the tourist satisfaction has been affected by 3 factors: (1) Responsiveness; (2) Reliability; and (3) Empathy which were ranked by the importance. The research also raises some suggestions to the management and the tourist businesses at Hội An to enhance the tourists satisfaction.

The Effects of Exercise Commitment Facilitated by Service Quality of Smartphone Exercise Applications on Continued Exercise Intention

2019 ◽  
Vol 118 (1) ◽  
pp. 14-19
Author(s):  
Boo-Gil Seok ◽  
Hyun-Suk Park
Keyword(s):  
College Students ◽  
Factor Analysis ◽  
Regression Analysis ◽  
Statistical Analysis ◽  
Correlation Analysis ◽  
Service Quality ◽  
Frequency Analysis ◽  
Primary Data ◽  
Exercise Intention

Background/Objectives: The purpose of this study is to examine the effects of exercise commitment facilitated by service quality of smartphone exercise Apps on continued exercise intention and provide primary data for developing and/or improving smartphone exercise Apps. Methods/Statistical analysis: A questionnaire survey was conducted amongst college students who have experiences in using exercise App(s) and regularly exercise. The questionnaire is composed of four parts asking about service quality, exercise commitment, continued exercise intention, which were measured with a 5-point Likert Scale, and demographics. Frequency analysis, factor analysis, correlation analysis, and regression analysis were carried out to analyze the obtained data with PASW 18.0.

scholarly journals Statistical analysis of factors affecting the service quality of Jetstar Pacific Airlines

2015 ◽  
Vol 18 (2) ◽  
pp. 67-75
Author(s):  
Nhan Huu Huynh ◽  
Dung Anh To
Keyword(s):  
Factor Analysis ◽  
Statistical Analysis ◽  
Service Quality ◽  
External Environment ◽  
Technical Quality ◽  
Quality Model ◽  
Factors Affecting ◽  
Functional Quality ◽  
The Relationship

The aim of this paper is to study the effects of service quality in Jetstar Pacific Airlines towards customer’s satisfaction under the perspective of Servqual and Gronroos service quality model and the relationship between functional quality, technical quality, internal and external environment influences mediated by Jetstar Pacific Airlines images and service quality using the main statistical methods such as factor analysis and multiple linear regression.

The Development of Synergy Model on Internal and External Suppliers for Asian Airlines Industry

2013 ◽  
pp. 110-128
Author(s):  
Yudi Fernando ◽  
Norizan Mat Saad ◽  
Mahmod Sabri Haron ◽  
Suhaiza Zailani
Keyword(s):  
Literature Review ◽  
Service Quality ◽  
Airline Industry ◽  
Internal Marketing ◽  
Extensive Literature ◽  
Safety Research ◽  
Internal Service Quality ◽  
Supplier Relations ◽  
Insight Into

This paper examines the airline industry to develop a synergy model in internal and external suppliers for Asian airlines industry. An extensive literature review is conducted to present a synergy model to develop Asian airline competitiveness, safety and service quality. The literature review is highlighted to seek the relationships between internal marketing and internal service quality and identify whether the relation of supplier can moderate them. The review reveals that a synergy model based on internal marketing, internal service quality and supplier relations can overcome the Asian industrial phenomenon, especially in maintaining the service consistency and competitiveness. This model is needed for developing airline service and safety. Research in airline business is critical, as the quality of the airline service is declining in contrast with this industry’s growth. This paper provides insight into two important suppliers needed for the success of the airline industry.

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.

Measuring the Service Quality of E-Commerce and Competitive Strategies

2016 ◽  
pp. 431-450
Author(s):  
Shu-Fong Chang ◽  
Jen-Chi Chang ◽  
Kuo-Hua Lin ◽  
Bin Yu ◽  
Yu-Cheng Lee ◽  
...  
Keyword(s):  
Growth Rate ◽  
Service Quality ◽  
Online Shopping ◽  
Market Competition ◽  
Competitive Strategies ◽  
Kano Model ◽  
Average Growth ◽  
Quality Scale ◽  
Quality Dimensions

The global online shopping market has exhibited consistent growth, exceeding an annual average growth rate of 10% from 2006 to 2010; however, the online shopping market in Taiwan demonstrated an astounding growth rate, surpassing 35% during the same period. In the current competitive and rapidly expanding market environment, shopping website providers must establish effective methods for measuring and improving service quality to increase customer satisfaction levels. In this study, four service quality dimensions of the e-core service quality scale (E-S-QUAL; efficiency, system availability, fulfillment, and privacy) were used to measure the service quality of shopping websites. Subsequently, the simultaneous importance-performance analysis (SIPA) method and analytical Kano model were integrated to analyze the market competition strategies adopted among members of the shopping website industry. Finally, suggestions are provided regarding potential management methods for the case companies.

Empirical Analysis of Factors Influencing Consumers' Satisfaction in Online Shopping Agricultural Products in China

2018 ◽  
Vol 16 (3) ◽  
pp. 64-77 ◽  
Author(s):  
Wu Yanyan
Keyword(s):  
Service Quality ◽  
Consumer Satisfaction ◽  
Online Shopping ◽  
Agricultural Products ◽  
Cold Chain ◽  
Agricultural Product ◽  
Logistics System ◽  
Website Quality ◽  
Made In

With the development of e-commerce, online shopping for agricultural products has been more popular. And how to improve consumer's satisfaction has become more important. Literature review shows that few researches on online purchasing agricultural food focus on the consumers' satisfaction. This article designs a questionnaire, including 20 factors based on agricultural product characteristics, website quality and service quality to evaluate consumers' satisfaction. The evaluation shows that service quality, agricultural products' safety, brand and website quality significantly impact consumer satisfaction. Moreover, service quality is the most important factor. Finally, some recommendations are made in this article to develop cold chain logistics system, strictly control the agricultural products quality, build an agricultural products brand, improve the quality of agricultural product websites and strengthen policy control and guidance.

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